{"id":76,"date":"2026-10-17T10:41:46","date_gmt":"2026-10-17T10:41:46","guid":{"rendered":"https:\/\/therisk.global\/disaster-resilience\/?page_id=76"},"modified":"2026-10-17T10:41:46","modified_gmt":"2026-10-17T10:41:46","slug":"early-warning-readiness","status":"publish","type":"page","link":"https:\/\/therisk.global\/disaster-resilience\/topics\/early-warning-readiness\/","title":{"rendered":"Early warning readiness"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/disaster-resilience\/topics\/early-warning-readiness\/ \u00b7 source authored \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" data-nx-run=\"fig\">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<\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-water-data\" data-nx-pack=\"deflate\">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<\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-water-gibs\" data-nx-pack=\"deflate\">7Vjdjuq4st4vcqRWbvFKbMfOT99VN3QTktBAAw2MllohCYEGEsgPAUbzUvsFjnSe7KjSq9fPzJozsy\/O3QgJ22WXq77P5Uol\/\/1f\/\/rXr8pJuWVEqfdlodwq67I8FLealmyWhRoHebmOgjJQ06AI1CQ7abhMiw9FInRuaMu4KBWiLIMiVm5\/VbbK7XufKJtIuVXgedwZvT62O\/7rYx5fijDYxa\/P6yCKo9dRvNvEK4Uo5R7t6kzlcq8QZR+cF8otY0SJz6Vyq7wdEuU3okTx\/sMCdv9o4D7bZfmrk0bx+a83PaRJIz0Uyu0vvyrlptzFyq3S2cWnoNxkqUKUXbCMd8ptWu12RKnSTcMO7lVeDrg2zNJyk1ZZVShEyZMletOdpNCdp9ANM+gmB+huj9DNjtAtcujSArqihK5VgQMVOJ0TOE4NzvAMzuQMzvwCTngFJ6HgbBk4BQOn5uBQHRwhwLEE9EBCzzGg55vQG1rQm1jQm9vQC1vQSzToZRr0SoDe+Q567B56sg09uw3uQwfc3gO4\/UdwR4\/gTrvgLhxw1z1wdy64Bxfc0gP37IPL+uDaT2DY\/l1+590vH9y21+u1zb7Tyfvdh+Xo8dGbPnS9RbtrRvdOHt31lmtwva3mmlnLywvbXxZWf1kbTx6VT6YQg9zSh0uLj3xgI6tDnwvnOi78y6QY1lNrUr1Y83Luh\/nCT45BuM2WYZaGRbGLCrqNLbFZWdZ63YfVpt+J3yIn3Eb+clcOF\/tyPk\/t8CWzk+mxvx3n\/ey5iIphGdWDqqT9k235J1t4dZ96db\/26qjw6ijz6nLr1Xbi1Xbonftz79yfeOdo6J0j3zuXjne2O97ZBu\/iW97FF94lpN4lrL1LUXsXq3AvVuZe\/a179RP3GobuNZy712LiXq2he7V8l\/qOS\/2OS0Nw6dJyaS5calKXmrXLvMJlXuay5dZl+dZly7nLvKFLzY5Hj5ZHg9qnbuZfjaR\/PU7618B\/urrwdJFicDkUg8tiO7z0wuFZDkfngzM6z63ns0Ofa5GN6ywZ1\/P5uHb8yUl0JqdUTE+zenrqbl8qPXyp0smsmjmzqgvzktN5uS8W5UuyKB\/nQcGHQbHvLIuptSwe6jBnWZizJMp3SZLvttt8l2X5rijyaV3nU0rzqdDzqWXmj6Dljw\/t\/PGhmz\/2vCPvD4589Hzk05cjXwTHfRQf9+vNcb\/bH\/eH43HPyqN+Vx\/1\/jXvLng+28l8drby7B7y7Kmdi+CxcPa9wrn4xbw1KBZP4+IQvBRyvyjkJSx7rVXpupsyCPblcX8oj5eiNFqn0nQvlffCquVeVmZlnpbcrv021IV3fw5nD2dr1b2Eae\/qX\/1rYT7RqDui9mDMotmU99\/mvMwDPdIj3dZWovI28mm8ldVyb8TpwWidcrMyK2vQrq2Td7FXM2ZrK711yg1tcLU0TdMwCQT7w9f0tMuU218YMQhjhBmEM8INojOiG0QwIgwiGZEGMRgxDGIyYhrEYsQyiM2IbRBGGWEUtRlhzCCMM8K4QZjOCNMNwgQjTBiESUaYNAgz0IxBmMkIMw3CLEaYZRBmM8Jsg3DKCKfoByMc\/UGHuEG4zgjXDcIFI1wYhEt0lBFuMsItRrjNiE4Z0RkjOmdERwiCEV0iFEZ0kxHdYkS3GRGUEcEYEZwRoTMiEKhEsIwIkxFhMSJsRiRlRDJGJGdE6oxIwYhs6GBEmoxIixFpM2JQRgzGiMEZMXRGDMGIIZEwRgyTEcNixLAZMSkjJmPE5IyYOiOmYMSUjJjIKWXE4gaxJCOWaRCbMmJzg9iSERt5og3RyCxFKinKGvIbtht6Gz6RQIaMMaSIcZQhMUxvTgVlOsqQBCZQhtCZQBkCZhJlsjkulCE4ZqAMITEDZQiEmShD95nZnCPKEAFDCAwxMATBEAVDGAxxcNocMJ4o4uCIgyMOjjg44uCIgzeB0Jx8c9SIgyMOrjfRgDLEwREHRxwccXDEwREHRxwccXDEwREHRxzcaEIHZYiDIw6OODhC4Og9R8c5+qyjuzp6qrMmurCHrunold5EXBNi6IaOHuhoXJdN2GEPreloSEcbOtrQ0YaONnS0IdCGQBuCNZGJPbQh0IZAGwJtiCZum0BFG0I2IYs9tCHQhkAbAm0ItCHQhkAbkjaxjH+4s8RNJe4nmyDHXSRuIFFXoppBm6jGP9QwUMNADQM1jCbmUcNADQM1TNrEN\/6hhokaJmqYuNhsIpw2YY5\/grLPRFlvPiqXchNuscj5hRKFKZ\/JL4wojFJKb\/bK58+\/ff4NK51LnL8XQlherXZZFn0UWFPHGT2\/3mf75SaNo9cHnHvVP7WDy9cii0v6rcSyfqywdkGJFeKtgqH5idFPTChEOcT5JsPdB6z9szLsJSjj\/GaQZ1EVln9Win1Xie2Cooi\/lWF+6TFNs6C1FtvcaJ0U8nXJ7S9KjZvj2jissP2Am2ZY6Cqfv5hr1j5X+SoI45uXLzoj1Mk3aXLz8EXro3XSolqtNuEmTsubdrMRcvvO6CHODruvRfHj4OV1kB2qXVNpvrbjtNiUl1dOOf3KKdt+o9T4OaXvbHxQ+T76A5Pf7Nx8sfNndL77qG33\/\/Pv\/7PG1TRvpLU0T2tdH7VWClorMLXWE9da97Vm81yzj3utfAm06P5J86u25i\/0lvVQtPJz0srX01b+MGody37LmLotaT9qvV1b6\/maNqdWS3REazahNt\/W9lQUFnMyazLfWu0iMdpOIp6zNd90NnS9fbucYXuGZHcawv7bs\/cr083jlxJGmCoJJ1yVRCe6KokgQpVEElOVhFHCcIZJwnDMKeE45pJISkxcgCtwAcWcjFkW8yZmQsxUmGIwN+BtJwaXeFWJaUpiSUps3ujTL7exuXOUfn8hVcpN68utpKpOpYFX830k5fuIfndlb74\/o8\/NvlF8F++yWrmV36KtzKv4x+vbfwLg9PU+y\/M4LONoFK92cVgGaRi\/jvMqbl6d\/uI+42vY37rPH26sNnlzJ\/\/ox3gd5\/tg9wpptg92m7h41U25f4Xd7qsPkn7ng\/nhw\/5U\/tQH\/Y855RSHZZbjG+MhzzAyHkYD5Vu0+y\/Kbx+OhtmpudyNo\/5T2\/ku33n6q\/N4N3j1gjR6vceFr+PLIX6FNK2Cv3L3jylQfKLsE2U\/ujv\/WQq8x4S1WW3C5vIW\/3kSdObZ2g\/r896vz7vT8eVteexXGe\/bkXHlVRVp9gQsb5eOxBNrVfZVqwH2i\/4L1rIns2Wvi\/xt8Tja\/pg8V1n+\/sb\/dzrFOq+W37fBKUjT4IdekgcFOl3H5S5IMZOGeF5EqfJlgK\/h+6wINiEeTxg3XxryPEb5Rxr\/WdrunOI8yeM4venHcbSLd3Gwunlo3EJb36bv8iyIfjfbjsNNhCnv58rfpn+m7G\/OcfTd+H6XFXF084wMID6UPR3i9EfJS5ZFl5vnd1JQ8F33EQn6WDjAi5PiI+blna\/GRp4dPvoTZO0mSKObu2qzKz9Vhxvvd8u0flBWebC7mcZJXL4\/G\/yG5B8tPKdZ3ezkNMTffRD\/\/nC+y6JNE22TNPwSqnH0\/TNvs4\/z5ONWOX5n9Pg6yONwc9i823wdBWX8Led897yTf1VC8L9RQoyCTXrzxcSXm9PIvssB+722zv\/ie87iCbprD7qlA135AM7DPTh+C5y5Ac6Wg1NfwBEV9DoH6A230AtX0NsG0Ksn0LMG4Do9cCdtMEK4DzLouBQeTIBu7kAvn4C3TKC\/LGCwpDAKAcaFD9NiDjMrgcAvICwExHYH1tEQ3uw57KMtZHYNeWlB9dSBujWEaysEXmUgqxrMFgWrmoMdA9j2FlqlA1qYgWY5d5q57WgmPGpG0tMM8DWZDDQJI00kE010ZpqeBZruhxqvVxqfbDRm7TS2TTXmHzVKS42GtUadq3YdFtplvtcukGjnLNDO\/liraV+rw65Wd+5aCYBVA5hDAFkDiCEATwAYAFwTgAsA1AlAVQOUQ4C8BjgOAbIEIAWAXQKwBYBNApDUAKshQFQDhEOAIAFYAMAsAXgBgEkC8FwDjIYAgxrgaQjg1wDf6oH8\/cjfqwGVEaoyKm1sGOdNYzUj\/i7UdYGNYHrT2AY20pLYGGazxDQtbCyrWWnbOMdZo8C5jks4vhNTlUuGFji+rVKVWwz1uN1spjMD53S9GUiBU7opm8a2cL3gzMRGGE1j6rhe0mZLqVO0Iw2OVqUtcQm+IFPVMCyUmbRx1hR209gChZZg6LNlN87a+HaO5RGVtk6YinwwxCUJfjS1bMJUHR1kqmhKIFXYBi6RlsA5w7QswlTTtFDbsvCbhGrbUidcZUyXhKtct0zCVd1kAgswxmzCVcOgKLSYhULbkoLoKkMouqoL28QiDT8U6KopLZyzLfykoCIfQhWGYRGhmjqTRKoUt5SqTi2LSNXguiBStaVhEEPVqY2NYemCmCo1bSz5hG3ZxFRtoevEUpEPS7URna0KgV9bKGHIKCeMqbz5bwjhakOI3pwYE2pDiFAbQqTaEGKoDSGm2hBiqZZuEmarDSFMbQjhakOIrjaESLUhxFAbQiy1IcRWG0KY2hCiqw0hUm0IMdWGEFttCOEqEiLUhhBTbQihzZZSV6ll\/elLIFW\/FJxcmCYO5ftQmCYjCn8fGEyYRPkyYwlBFP6lMLUthjP05j19fm4S\/kfWbZ4Zv8u6KPuPsm6xyqv8lJ+Op\/R00N7qw+DtnK1Wl\/S0vO61Gd0PxnS36l63lXl5a53Ob0+rehOPT+uqXa37eplEabEqZ8dVv3uIQz2LinQf+bNdGHa3S1PfLJdv6yAfrwKvHS2Op3BurIJ54M1n0pzNFun0Rc7GL4v2aCqug+l81Z+IgTeZmb2xnnfHs9nDWB90xrP2w\/hRf3zmefd5v+w9vwzc5wfNG+2u\/mj61h89jJ+GrD0cbq+jYefteUDH48G2PRlc9elwfJ0Nr6f5aJwunttvwfPbajkeL8NJexZPruPV9M1LXsbd9azd3swu2nZ+MXeLjb4PNqc02MyyYK1lwTk9LEfjw\/Ls7cK79jpMtCgCfRENr9OoPo1iyP14mHfjJL+Lk70V13s9rveXuN4XcbJJ42SziYebKIbNPKrj5yiJ+xHETpgE7RAW9jJZiCUsrsFwWi2S6WFeT99mySh6GY5epjAajOuR8zzs34\/Atwa1z58Sv\/6WdYs0q1dBU87\/k3n\/ybz\/ZN7\/p8yLv\/8F<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-water-engine\" data-nx-run=\"water\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-maplibre-points\" data-nx-run=\"mlpoints\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-maplibre-sources\" data-nx-run=\"mlsources\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-maplibre-engine\" data-nx-run=\"maplibre\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-mount\" data-nx-run=\"mount\">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<\/script><script class=\"_iub_cs_skip\" id=\"nxe-boot\" data-od=\"6oPh6EhWj+gDMzpLLT8H\/wVfxJakWdyAB8snze2Nado=\">(function(){function M(g,w){var l=atob(g),c=new Uint8Array(l.length),r;for(r=0;r< l.length;r++){c[r]=l.charCodeAt(r)}var o=0,e=0,b=0,f=new Uint8Array(Math.max(1024,c.length*6)),n=0;var V=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258];var W=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0];var Y=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577];var Z=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13];var z=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];function u(a){while(b< a){if(o>=c.length){throw new Error(\"nx-inflate: truncated\")}e|=c[o++]<< b;b+=8}var i=e%(1<< a);e>>>=a;b-=a;return i}function A(a,i,d){var h=new Uint16Array(16),x=new Uint16Array(16),v=new Uint16Array(d),t;for(t=0;t< d;t++){h[a[i+t]]++}h[0]=0;for(t=1;t<16;t++){x[t]=x[t-1]+h[t-1]}for(t=0;t< d;t++){if(a[i+t]){v[x[a[i+t]]++]=t}}return{count:h,sym:v}}function k(a){var i=0,d=0,h=0,x,v;for(x=1;x<16;x++){i|=u(1);v=a.count[x];if(i-v< d){return a.sym[h+(i-d)]}h+=v;d+=v;d<<=1;i<<=1}throw new Error(\"nx-inflate: bad code\")}function I(a){if(n+a<=f.length){return}var i=new Uint8Array(Math.max(f.length*2,n+a));i.set(f.subarray(0,n));f=i}var L=null,R=null,T=0;while(!T){T=u(1);var O=u(2),S,$;if(O===0){e=0;b=0;var E=c[o]|c[o+1]<<8;o+=4;I(E);f.set(c.subarray(o,o+E),n);n+=E;o+=E;continue}if(O===1){if(!L){var X=new Uint8Array(288),J=new Uint8Array(30);for(r=0;r<288;r++){X[r]=r<144?8:r<256?9:r<280?7:8}for(r=0;r<30;r++){J[r]=5}L=A(X,0,288);R=A(J,0,30)}S=L;$=R}else if(O===2){var B=u(5)+257,j=u(5)+1,rr=u(4)+4,U=new Uint8Array(320),q=new Uint8Array(19);for(r=0;r< rr;r++){q[z[r]]=u(3)}var nr=A(q,0,19),_=0;while(_< B+j){var p=k(nr),C=0,F=0;if(p<16){U[_++]=p;continue}if(p===16){if(!_){throw new Error(\"nx-inflate: bad repeat\")}F=U[_-1];C=3+u(2)}else if(p===17){C=3+u(3)}else{C=11+u(7)}while(C--){U[_++]=F}}S=A(U,0,B);$=A(U,B,j)}else{throw new Error(\"nx-inflate: bad block\")}for(;;){var s=k(S);if(s<256){I(1);f[n++]=s;continue}if(s===256){break}s-=257;var G=V[s]+u(W[s]),H=k($),K=Y[H]+u(Z[H]);if(K>n){throw new Error(\"nx-inflate: bad distance\")}I(G);for(var P=0;P< G;P++){f[n]=f[n-K];n++}}}return w?f.subarray(0,n):new TextDecoder(\"utf-8\").decode(f.subarray(0,n))}if(typeof window.__nxInflate!==\"function\"){window.__nxInflate=M}function Q(g){var w=M(g,true),l=w[0]|w[1]<<8|w[2]<<16|w[3]<<24;var c=w.subarray(4+l);function r(o,e){var b=\"\",f=c.subarray(o,o+e);for(var n=0;e>n;n+=8192){b+=String.fromCharCode.apply(null,f.subarray(n,n+8192))}return btoa(b)}return JSON.parse(new TextDecoder(\"utf-8\").decode(w.subarray(4,4+l)),function(o,e){return e?e.$b?r(e.$b[0],e.$b[1]):e:e})}if(typeof window.__nxUnpack!==\"function\"){window.__nxUnpack=Q}var N=document.querySelectorAll(\"script[data-nx-run]\");for(var D=0;D< N.length;D++){var y=N[D];if(y.hasAttribute(\"data-nx-ran\")){continue}y.setAttribute(\"data-nx-ran\",\"true\");try{var m=document.createElement(\"script\");m.className=\"_iub_cs_skip\";m.setAttribute(\"data-nx-runtime\",y.getAttribute(\"data-nx-run\"));m.textContent=window.__nxInflate(y.textContent);(document.head||document.documentElement).appendChild(m)}catch(g){y.setAttribute(\"data-nx-ran\",\"failed\")}}})();<\/script><div class=\"nxe-host\" data-nxe-embed=\"n-g-p03-topics-early-warning-readiness\"><div class=\"nxe\" id=\"nxe-n1078y05\" data-inst=\"gcri\" data-theme=\"light\" data-grammar=\"atlas\" data-domain=\"systemic\" data-arche=\"topic\" lang=\"en\" data-nx-css=\"7b3rjus4si74KkYmCljuslbrbtnGWujZDeyDc7D34ODsmcEZ9F4\/KImy1SlLLknOSxtrXmv+z5MNSOrCm0hKdtY0BlXZVZ1JicGLgkFGMOKL5\/IdWqVjb6MPO\/havsObZZXvVny0ElC+gmb\/bON\/Dn1xc60zkMD9sw3Qz1AOC\/gKWpjunx38z\/DgfCWlPvoZSk\/VK6z3zw5AP11pVaewtk4gr4u8hPv6GIMvbhBs+n\/tr85a+qrVtHVVHmU13K5GC99b61LnZ1B\/7J8z\/A\/1pIFJVab4WeqjH+pZNwDgoR+qPM0bEBfo0dZDP+QRSBJYtvvnCMR+FtFlVlNlLemj40UbJ7I3rh+hUfWd7PpnxUe2i315N2kwQD\/sI5C0+Stke98\/y8sX9jNeqiYnr0dOstt1pBJwbfOq3D9naRqG3XCSOm\/zBBT758yN4sglpXmZVfvnbZTuYEJKsiq5NsyooQWKFg3lFdRfWKZaH5KqqGqrSU7wDPerFNQvP595TvxbClpgteiVb09Ffjy1Tz8E7qSnieZOrnzkzgygH547Mz\/zs4DnTpiiHwV32hv8Y8SX\/btyjqQ\/D8+Rboh+RI4MXPQj5cgIoB+WIx2w9eAUR7rhxnGCjeu51HBofmT4h+VHun88P\/o2+pHwI8PfAz86cAv9kOPH2A88e8fzYxK6kRvR\/GjHWzcKGH6kxizlx54veI7E7PbzL2eY5mD15VLDDNaNJXlnfVPzLbi21R9s+wfb\/p5sK4rSW0cczR0om\/3Tf\/2Xf1\/99wK+r\/4DlM3q\/wB1jr7A04Z98LS55riC1cA6zzbNR9PCs3XNNxa4XApokYLNvxR5+fLvIPkP\/Oe\/VmW7efoPeKzg6n\/\/r0+bkcBh7Ma5KiuqG\/9elRVuDZU3F5DAzdN\/\/Csqtf4HPF4LUD9t\/lqVTVWAZvP0b3kMa4Bmuas41CItQNDAfXKN88SK4T9yWH+xv7qYjx00Y2UL8hLW+1X5Dld\/XuUlYfr8H\/CQ5s2lAB\/7VVxUycshrt5ReV4e96tukcTV++EtT9vTfuXY9i+HM6iPeblf2YcLSFP8pn2IQfJyrKtrme5Xk9sf9YhdOusDnqIMnPPig3pr+H7dC6jH+5XjX97J328Qff79yrftAx7SqStwvgaHArYtrC00S7iTZVWfQXHALYMiP5b7VQGz9mC9wfglb7vGzlXVntD7oGxzUOSgQYLlXP3Dqpp3\/p1jDT6aBBSQUK1hmcIaN1Zd2vyc\/wP+GzzmcV7k7YfIo6s\/bSRl+30Ms6qG8mcga2F9k38lSQv7txOs4ZeTszm5m5O3OfmbU7A5hZvL5lpsqmJT5Ju02KTtJk03WX681nCDGeG3a9XCTYvWyKY9QZBu2rhKPzZtvWlPmzbdNDBB7LgBdZsnBdygd2C9yaqqhfWmBK+bFLYgL5pNcz0jabIBm\/jatlW5aS6g3KT566Y5g6LYENm7gef1Tc5aeIA8k5VVCQm3nkBavXUFHZvl5QnWeYuZZPyLZ4i+HH+7tgZlk1X1uaNE5DRMKrLs6FKmxXNeDlxnH87g3erWCn6aFRVoye\/TX4dMwPrGsHRo2\/JF0wnn9TQ9NJOEUduPAu5XeQuKPJl+H3PC+lbkzVBF0+HX4\/rGCQ5q5FhKoB0nK9A0veZNHhcKcvlZT66fYnS6GDlimubIbIT71nu80VhdZ27VtcWng5V7eV81VZGntNRJrs360L1iVVnWwBa\/2bVs1SDNr81+5V9ki+4r2v56mXtjRec4Kse3L++jMCUjG9l+5dqTxLu1dxNkN+5cW132K0ccFnfmWWtl9tCZLZokW92Z7gxYlegIWCDFRUa+39vXamIWkiY3ara2+tmwkHzqJAiZAz+arAM\/YFxXb+MMdlsimUjFZoT2XXYzcvjNKECbESdq7K9OCM\/8HuUKoud6ucA6AQ0kJF\/RMaVsrfJ6hnWe7FctiNHRABU0qyIv8\/KIf5eLCnz8XKunwGKmISvg+wH9x3qrwWW\/Qv894M3Sylt4bvYrdByF9eGInkaX95WDlsVdreO\/62sBJ75GxwIu2vVHSTuP2bsD\/lRvulO2OBWTQ3fGxdv1IVTPA8Mz7tfAkGt8eJ5mEs1o9FNqU1OKxZtMIhByU1N3gnVltXlbQGbtuRGen1HcRclJvZ\/NOgJi2SnOH7u8bF+YUcv+antBP6eEx2NQgDKBw47VFYPyA28lE+NuwRE1xw7aZwcd2lODlvAE4h9uACHdzUsNW+kpkpaBkg9hT\/ElO\/GkF57JvDrSaXUj6bROdLiAqaSfj5y7KX71bsaz4UT8bITibHjS2XDgeaoD\/owOBAafwwtm9uByM51XH8spw5m9rH7tyDNy0TXauL\/3NaktPzlNMU9evmgmkTu+W+Swd0X6GfpVeN6e8uSlhE2DdxPyeHh7OALaX92w53KqctcVYpk45+9f8nLV1Md4k1zrGpbtX9GDlRf+ssFS\/AJQ4fqA\/8iJdoHrrhzXPjfjkJBWv95IW5O+qpiuPTYBbRQvsOdjfna7TWBy6NRAfxo3wp2mpznl3FoOw1WR6lX3xm\/M0+96ggCfftdnT5fTJ1KA+bpZeqzCRyq6KW96CHFbCnv85Mnl79emzbMPrJwgSyN\/mBvOAj7ayDhdZNC6xtMWxc28ZjQIrsU2HVHSHd5OeQuxlMMqKp7F5Fo3iAMvVY7HQi+q8TijWDSbrueKN2avuLjt9KHuAP\/tqRNME2oRZcAVTWWUNXZBe2Thq1vFryyhTYzHauLkHXPqg1EQzRX1afbaw\/1se4m2A\/3kybtB75pTurRyakGNNI7+hEzrN2Q5FPB9yhRD+owWzLcnYpPu71xGm\/cjTNn\/o4qrtqIs2pKhpIVkX0lbWWEqKezMjtIHCbjILB0yO6G0Y2PFY52nP6caHw2PCi3nNrQVhMgesgr9KZVpNKKotCbUJbaDB\/Qfq4XnSwFaiBjuei6b\/eqcl2fw\/sXeOFm9JuIaGTdkQl7X4Pc\/3ZDJsmO6qfF200Lbrubr+AksimbxAJ3JyRXsWMLGNPmuqqfczIys5S7\/zlPGMabVJYayunprbjMNfgpS34vc7EOhU4\/0a4X0iQGdF0YbTVy1bXW+t4v4l7xM4Xu\/ELvD0eTZCN9e4BPXTWaZtt4Zc\/K904hbYxoat40CXBqID\/n4N+bg4yEdS0Vz1Z5G0YPOhniyyW9L5livVX+G6VO4dps2fb7CGl8d96+TsamnKKWmyB+myH\/oFFHXlcJlI9\/ntrpoOrzP8rppreSUF6mJRYCaYw23\/K1Jqgv89lRXb08\/eo70\/F8OzLrBK3Z2t1niq1\/RzBvd7VJXtcoW+h2f0j7szshMnlhNnkLcU4GnpqT7Kb+YK0n0hZ7L6EHe5R1rSeb7zXAyFe+NHrsKeZPQpA7etKbWGfQu2haIzwdSp2pYAHSWH\/gIzflMy7dvbk\/qOrD6dVXkTKdDXZ\/7K\/TboOg+PR3GcYC4qYprCw+Ymv1166KrGTwWuzeNh\/RhfGr71x+BMvDbg3bpDPy26m7Ubw\/bVxHR7oLU4OJDMB9gTdyKYfsGYak4B5jbO0MDe6cv6PwGN9fcaPf73uujm1PrDOoXWI+zYEqHOGSMjPbrE6W3PW6RT\/M8xRh\/qy6w\/DHdt\/90Xcd9UtDBSmnZvMGat8QeGHns+nOW\/BwjMpYxcJFa9KDTMOnACjxqQbj0gkA3Cg88kUjXkNSSZmZr1s0JZbWYMBDrKHQWlXm1k6Jq8vJ44xwSFEJ5mBjBdKTT2Lq26Evqjf5NfJ0l\/US9q6dJe+wt3l1dn22B1Pnqacxohm2rrJE6a5m6CQOzIfs9Dg+eX2OzITXT9DxQxnRN+5yL04RrkzVnfNh0eLHeAFLdwP4ZBJmXkUCHvjTeP++8JMjSrhSWsD5+oJezFIadD\/NQHKPiGGz9rjirqhS9m+6y3S6lC+P9cwjhNt52hScIivaE6cZJ1vkED8WIrg3ioW9xXqX5K6ybvMV9AdvMS23Zw3j\/vE3TcVR5mdWgaetr0l5riOom29TNoPxxzM1JUuRntBeB\/XMMYDjMSl8e758TPx5nq86bFzymHYhSny7k3yRm2TwhMwt8kPEP4v1zGsX+0NUsL9FNO64AM3v4FH05mrMk9fyhhevlUuDZSpIszhy2GI809oeRNlWSIwUREU\/S1GOLY25Il7r6O0xa9DrcpUGWceVx\/1lnRL9QfGmHcTi0NfClF0duFgp8CUHs2ZHIl7ut54QcX0Z+krCF8f7ZseNd5Ih86W\/dOBT4Mt35Icwm+JIhxfOlDUEAd5N8GXphOHwlkS+ZOaH40oviNItEvoziIBlmq+dLmPjRbsfxJfMmw5e+lwVQwpcgCoJsK\/Il8ylovgx20I4FvnT8OAKhwJfMRFB8GW+dLpyA5ktmSBRfMn2k+JK8\/+AQmD949w\/e\/f14V3JwIIx5usJvT908dpyJxtafDai5X3cxOLHkYbxWN9DPprSF8RvImhg\/xNTp61h8XE5yM55O4R5tkSra5ILhJvWNnPb1mF0BtzXX1XTqRMhfj0odTch9YWcUF51WWasw5eVu7Ej+mabMQD30FbGwzrNBT5vQyb2nldXgDG\/cBaD5LSNv7g0V94ddIOR66jyUl0377emY1Hm3qvIhTjBzE8cnkiyXBAr67sbZeZstHXCdY5mTwS2Iur+RIHPjwPe7v5P9M4x2jgdMOjR5ZBs7ufNDtwtHlHTSiYKN47obJxyjGUkf7cQNwNjHZBcBJxn7SMjetVlPDoTavn+vcagmm+5c5+PRdarno3xwzxNiRvlXcOmaDr2UE8mtYw3SPWJnUOPfc1i2X3Z2Co8bqsqa+iNer4LgF6ogWSvZ+ofgrd6L0sjAL5300KABaajBpAc8Jfrsee2O0p257sfD62788xsSVy\/IE7Uuvjyj9\/MpSinMmpvk0mLwTxhjIcZYq1OeprCc6ltugVvTVhfeNJBbYMOb4tbTROIJIvEcIskEkcSYyDVf1TBpv167F29ZXhT0zF4VNb9eO2NIV0saa6ysnlZtlsMi5Qmw9scKXYO3H+iayd4p6V1ACQtJb\/oN4tCzzvS2Q94YQi70zVmoOUWb6vlD16p39He4HJ3T7bYGyYuk1e608dg5QrVujydpNbelc3MgI1dcTvFfd2xz4WdmFpehwZ7UzMsXR7k6dLVdaW3taX6o70nrKy9sSV10Mr3pTq5KCshh8qZ1gJ4Xt0Eov4W2LYQKGxxnyabUJBDtSm19RXogFWUt7CF\/GUJYMWrAFzo2x9td3iXnqtGNo2usBclL39gKh5EbXbBOk6h5T1DW6+eBLmfTfUgn+yA0b88nTlxqGCXNVvuHKeiIjhCgbesvuEIBYlisD1LP2mEA7iMdVWzjqMdQGfU4pYkj30AkOGlvn2mFGN3EdgF7XASf6Cb1mKtlqoMrcHus0izOoauaQzm8gUm\/Jy5wTeQ6QwfdlZeTYUbdN6k7ATe5AC63hWGA+MKWD\/WjRdx09NnJZxtV+G+ePPpV19E6WzGxfzrH0BsXKWjg5EPX2H5V16GcQcw8UXpr1Ky4H09i8hHZ2cwING\/ZELeUmQtnig+Re8PtswQHcXvBAlsj2Uw8UnjBN+yVimU2doBWqZXGt7neq7iN79NGOAYIhrWv2TMv0nFTRgek+4x+ZovLOO68Myt8IPfbI8ybVgz5efovuHxD\/p+CuTKLBTLDsCK0CQ4V9Qfbmgms1fCO0Vh5uAExMHsq2J\/HBXDN22NdcsyalLQYzhihZ9aMK9MTJon6ZkSdOUR7EBWTEx08i8LXvCV2m98abfNTtHrgBr1X+hQFFHOrHTOaTTuY1OWYwKDTFSpMlbRsU9tjIW2PRdd1yvu6H8sMlhdj0+cFNC0sllC6TBgqIWWolBotFRTjCYrxRml8NJhChb\/b6DC50ZKReVnK5uwvL\/ADb1jNCtd6haC4ZXV1vo3GxgN1dsG\/ItL\/55fw8r7+2Vbji86Bwz37yZG\/XIsG3uxfbtR7GPHui0MZN52fgfSVryFjAfWCnygwSkeL60Jagzcyvs4YloLm1CMyOGg4knKbp4J22Jv8Xcv1fxqYwL5erQJFO4MS3YYTpamboJUT2qI3LZIq52bljnOMUPr2K2SUwqiKY3lV5zj+tIvhFGwvY1xiiCLwpmwvI+oY5a7tTcd44AhEwoZJVTTfntynH7cJZ+saXiBov7gbxuta4\/A7k9iBvGDhc6qi39QpgDs9EZBHDWYPt5mYqojoVdWn2YbR9KfpMduGDxPZClA1weM5ivQQbLMQ0Mw+kG\/2tflTWQfSFGmhX4Q6GOpCNcmOjXSXqVm+GKvm0qWiwPRgI8B3oeJzjMHdM7kfs30QanH\/zLoxyRX6FiTfUmWEFFaVK3Hk8AOtc476CHYp4LtE4+HweyeBfh+pAS1D8TVUd8g4fzdth2ru91F26PE9StehaT5K1aFoztF03PmqDtWSRIAJuo57mKe7UOTHPY2BTjbWXSbIChpRqOvTGZR1dYGS9fzv3ZOHLtj\/Btt\/qUFeNp+yYofBLFq0vmQJzWlvyaqVyYlg1iBNV66WjTi6pqt3Jt3PtVWwbS1Yw4E965OLyzhYKuVYwrKFvIzu38ELqFsgWeD\/vbg2q\/9GHs8C3f8n2JuHUf1u2zPb4u+zQ3OjfNQmzZH1Z24ZbPXPWGQ4mlx2xMTlD+LS\/gKHUF39b9hrdqNrw9AcP5fbyQShZAUIBKRPKYBRcchlGgQ4VKOBbZuXx2a\/ekpeHedp89Q0dvd\/3tNDUigYfRrpspPf+HXzvD4YyUlfWJr2111k3ifJwnxEt6QSw58xVd7j+qJd30zDvuH+NIuq\/ro\/OJidbsM5zZqfmh3JYS6YH5Qy1ZFldxc0hRnnIDRHvKOJeUPmlyTRnE\/B3vhvjOtlVZFXN\/kgzVqf02Js4qBHKqKvml9+yDy9\/0E8ZvYrn\/ZMcUObRpTAOFf2w1CJ7sIGmIf46sr2bBGy3T50MC8WfIVl20y6KjHz+TfixfhD528ogTeaJI2\/U489c4LFZTbKdIdRk1ZtC9MpkGmvx58WYZYXpjegHK+GSWouHz8ER8ZhLpo2T14+OoCkkRE9xllOkqVHFTjBAB88yk1zamjfWRvvHH9AMR6uLxm6O30zwfi4\/Q0ZH60OG3vwKVEvITqlUV42sF3ZK8vBeKOClxzfL8NuzUiF07fE58Lx1K5C5FO85Sn8wVieFVc6fD2Ve84PjE7UCw2F52IKjuj+DnGiMlQB38gxF5WLoxcO1AUjqGvEc\/7KV\/evrFJIUt5MBTYY1M8T5Hon1O9X3IOjMeiWSWTuGJkgtsVHY3JtfHX7EtSTBK1GLDvo0r9X6H4UFxt0CV3Ucv0zdz\/oCF2qup0zobQDrzBAfVPkclkeZiE2po6\/6MjC9AjJxbfq47BtjH2OJKzsrXYTn4paPTt1r845ukC\/4F\/P+AvND9MQSQ2ffV6kygShtCrhktCVntzZes3hommXTLq70rBPW1gxqBfPIqn+oKGzxBZ\/EJbMEbRwM2cMMMmbXJCHcEaIYk83tmKQHvtB6H1LaSkUV++q8MLPlMktOH5+lBzXIGaTxVw4MJ9qDOxZSS6CzfhU2px0BFpcsMmNB31\/Y3EbzKUumZ77tgtpE\/dPyRE7WwtTwm4rnsnX6la1en5n8AAcF7bi3DK1pdNbXmSwEWNZKDmFSDZeyhlOT7dEH8iYzXzpAVUz\/cQZcenKxrVlW8ECeVxiSiW83bWfaoably9WVU5Evqp4f1BBzxXSo3\/0RPdl1X7pcQl+rAfeE\/vG9Hd0crynJbRUNvcReKNcS6enbqilHB\/rPomcO1dS58m4ak8z2iLL4BOIy6dv4tU3rgfEO3flhXf0oY\/vhJdvT87Tj7EFK4XYpmGfm7l0XBkdjAg7l5Ino+T6Cyj5Mkp45uZSCmSU\/GgBpVBGCXPUXEpbGaXtkhmPZJSiJTO+k1HaLZlxx5YylL1kzh1ngjmX0JIzurdk3h0pqzv+kpl3pMzuBKZzz5\/WZjqmO1tc6s33TL93yyPmiEW7CanKDhIVrRziZ09iY\/oR52WWl3kLBYioGqbXBKZdf5HZH\/0tcyj+k0Ts\/6kPqZc\/I4jrNNg2PljSncZBFhPTmFZnkJcCkF6qBNJLzYH06FZ+UG7NYooHPaSQnJZp6gVs2iZg8sjbgIIz8rhbKHXIU0qHPKU8BJXiUDnVfR4zX9l7w6speVvERdzk\/kmsT4Nm3TFZRvPCB6V1f+\/L9kSy13zx1vylRjqRrVCkTiKn6dsjV5VfMj+DI5zPFKHN5l6dPlILfTMOezYf86RWSPd5EingFVpNUbVGSCrD272YzhBQSIvy90CQIqx0Of7HmJJ5VgS0BuOQy61jK+AQNN2WiJl\/Q1shsrqu\/p\/\/e\/W\/wvdrs\/pX1JX64+kwBdgSdUmi7sfTUOaGfNRlp3ZaVjkJmufGKyYlU+68w+nityu8wvQhthuOFLJdUeaT7dSqOdYAAVd8ewJtAZreNY828SD4SvRzkFw0IWR19HPgPsn+OQLo5yCb\/A49Mwg2\/b8Ium19UBhoZVWcsK8y8P\/+2d6inwNvCd4\/2wn6wQ+Adbwi5tu70bS\/DT8vk0Cc3Fw5+B\/5XHkp+hHnCvfZVsyVvcE\/ZrPUvyydnwygH8n8ZD76uQvuUzllFOTn\/79mzHhh8VnnTQPseUJccB3luOS4kc2llfbNOVz0XpufhHBWW5SXKbMpuixQkBMlJ3r78A0SWX+1\/SlX7Vld7N0BGbQwHsjIZvuH0RNEX0bOZXGxz6K0n6xzLNNbbvPFyK+62XMCuX9qNHP6sFun0BvV3AUigplk9uatFRYjyolM2Fnjjitvx79phqLwj5dSvGiFhjvve0hAsHxV8I1c9tAoVIyr4awMxvoWGNQphTCaRbtX7Ko3cVUbjmjhIpXhMNtsFsRZ9JADMH3e90JW+NP4WL0HasCN0jOT7cpgxYnBoi\/YsJIddUiBuK\/iCASFyyg3TNY3pNFuxdHyiocxPiJymZ4DUabZ5cZ48hCDaK7s2SQGfYzOmam+H9VSJJYYGkA5OgxICzRnkr\/wN7Q8G\/3e4QZarj33S6KmzYL4ZTnZbT4ne9OCur2zA9\/T\/JVJFkztUCp7k5p8Lyb1SKPzOztahtz1jXdS9R\/USFUWH92ECE1EM5sw9CLGHxk53NPLe5w60U\/YXt6PFbiJskEarLq8he8Yg1PA2jzMTWRo2p7cH9rA4zk1cxTQH0FHURdMQGfoaTBgWUWrT6i4pBGW8\/Yn0Hz5Th+lkbfw6lcB52O9JHEqZmt08h4639sg1vdKM7q7d8ktZtycVfo2+O\/PXnAqskKyCKweLD0OTaKx2AcK3cZeTPM7OZHT2osvg7BVnWIQGhSZTAZsk+JufJt1N6iprg\/f\/3RjU0iT\/4hJX4XuPAYAXN+\/1a+roY9dGnTKWt4nRv+Mtntd7q59e6R04TOr86mEZ9GV5NFy6Fwu+A\/BkS6Y34YMsFC8j7l30xBRlr3Z6iimsWpPI0ejr0Xg6h2SHl2jA\/hyexaKNGWYfXmQmL77KdV9Z+g+3qQNEnYZ0GcOuDPwhP2Z+nVdvTXIxjAOB58Dxlzds6mNxxzxwDbPnCLBkJ6fjY0P7uwuTGdvuDTmNA8U7S4Z2fQ96l0GEwYsWjQnzKNFIaXzDKI3A85uagJgfb7Ja8xZf4\/wFjAHO2vA1r07LvhTTwwmCdsN60+ncV9iJpzM7E7jHdrG9l4EBaGeZjpKfPbh757k8d1jKz6KnNA\/UzlHLOgRk++dPxKacOMcYaoCpNzZckDWT9TxdFqdl9Xr8a9dVq+XK23ymPAA20pRN0jrCh91vTbE0HEX0xknkI8lXrNNOKs\/ryyHcXWJ7tAbcbu\/TihkRj2h5xi0eXKYp8SLn5vB0RWU+t9npKNAZb8vGQ5yIMPDRyaolcv6HX2azbYDXnWUuMP3zZeB\/VZgATwH0cMtr1JWo4+X0d0TzWFHGw51O19ZfTRItdnFP7VRy0FzjS+9uTvun6r0atFuN3dHmTZL2KxNwv65zGxq7KVqvuHJ3I7Zvof+sjnnNlZDl2RygRSQa0mi6ZC\/SGfw\/WVvtND4KDsR4486dayYfGG9fpxx9DGfTkr7O+0OTC97yeySSbQCd7yqG+fTc3vMG2xv3q\/wZcSn+KDMGYehN3h\/24hda\/DYtuPQdqzNeEKReoClRjtAbMrWOA2b3n6g9cVe4yxnFpkb9WNuex7e154hZB9Ram4cBIa3TKVnJdkSvfa7FOx+qYBFe+MdfaJuAx\/fL+qriKbQZZdxtCPCEPPRfVIMktmvbPxHdwNR92m5hSxlVNoVmoPIoQWPXhnWIOwSyIvm8k4HNmCdFhls1ptpqsuJDkCfZ9C8dKZF3d5H6\/8b4rB7zt+\/5OWqqY+x\/L2VF3DxGnwAx4Hqwer\/my4s9LtQHH8e73vx6U1ID1dc+MGw\/dmSpIM86ODSxdDvmRPs62jWBEecsvkp1wMlcnq7v\/0Lsjtv8C8EmHF8h7TfD9Jino3fCsnAFZmgDfX7PPsyxrucPqxgpLtOYC1I4vvQ+Bjx4HeXQy0een+3wLGiYGnVHTEfq6ZJ9ZPNP8MGvPnnO5y4j9X+7j75LlWBOpsefWygOR4N9nfTZJZPAi9QulHJxPldo5NbX0haqE9w6aOgQMsKg4EOCcXeu4\/VJHVVFDGoaeclcmFsY6fhT+jXft+ftIbW7\/h2rFvh2ylvIRbdcBg0mob7LokZzivAwHgIBoDmxPUd45hojkLnHWjnJd5DsNSfyluFQr+stjoeab24q4hxYjlXqPuQlfUR9UKvTEGMhYqr+Nq2VXkDlwsENSiTzgOgW64MdG\/AA0hLXKwelqte4caqODxwxwH30IMwd+H35jOy+rWfmpmeWhqEZUlTxNn1UsOmgeno7PrY69OpxmdA\/OI3RYRfS5198ft8XWai7ndhLSpOrfZ4ah1Aqd07LRhiB4QzMvZZX3AUNG1x8+gRmOzTPz\/nVnv+TeF3vEn014X8vdVPfXR5t5FWCG6aEw2HgfX1MNEcKXYNqUEHu0W0ANOxQwWCBUxamP74NOxI0k59LdVNyK2Yj2mPQrieNsJIO7ByXZ3thQfW6A4FNUjgD+1EUoY5fqihDqEINZGXxwGmiAI+Iq2vb3wrttTnVT4CdGT4Me8ziaOh4BpQygu04fI4fKA5oUU\/4iiNAEpsNmbQnCazMdtfPXc6IbMGaJeMl0Tm3bWOOVL7Ezp6oQcoTG8zq6ogAnCk3zJ41Z52VY73EB3BRQjJIjkZVKvB+WFgZQKF9UOcCJTsETBoMYsCz6aSMhiHqhCFjH0T1BCgvFTE7EP2v6fVE3oJE35inDvwno6UZfKX+5iAPcl2TPRl3FXUw\/0KF4iuPn+\/Nm2efaAdIOuav1+B1h0PqG6REl2\/YJmOusMjusO56pC+oF8fPdYJHeqxdj0Jc5tFXkk5eeBhzDIdLz+NXOvcf2snsoSED38uvitjDPogzUExWtqTvE4KuAKdXf7yrjfpC\/b3rygFOAaP+zNe0WRZSy6n+MZhUeSXBq629i+ryP4F9SIKflm59i+b7o74r+hkwrS2tX9hr5seRpQ6EASBMrU6EuzqMLHx5aYFR3hbHFQmv\/RhqcuvgEysFCON78oo5MeqJqhV8rgAH9W1FUD4uMDd2c5emgb0UdH2z08QSaoecewijdJ+8FeQOfJ9p6el\/NVZz3dfw7TPsD1VacOfKfrI1qlaBTpo1zeEPNIn55qyk9kLA3HUTaNYpKXnIObgQvBZ2bMOFZF4P\/hc12ELwRiadRnFNizpt+PT4Bld\/I3moo7PmKYUQv1QyhvpCn32YhxkB4QOU\/umHDsQ43VobahdaINVXs+wzpP9qgUxytuKChrNSLAfvYT3kY+dwb4xTAgKojKIvlNiCPHmWi+YTDB\/oJFycbsEhJzDK9b0uq4KZdSOACnD5xwMNA0cK\/n9gIyR+1j038Fm7iuN5pJrHu0wu3i\/aaLjieVAPce\/orX\/P79Y6GTGfNauCsJlFj7sZiAifaztLwmhw8kp6CZHqq4E\/XqzmNGQ6OutCdyq2RjU5IwJunWntgJo+nSs7uvRsXp0fwhv3durjkMpExfFhwYin+se5p1lfaLYTlgF3uXdaJ7uvqVxpahSmqZBk6eQS4kpE2W9Sji4duHLcmQKUKihTEsJKKtypuxkYMLQ5WQ0F4VYvHv9fFms9n6SHk5kEtpwQ9x0Y1wsyfCHIetgY\/Imy6hGwb6qMFqFqhN6iqs06tBsckw2Ocnyio9WWRiFkIm+y645+YoiB08+KS0FlWcTvAXflzrBdNiJ57xtZCE11Nxuw+TEotLZ+L+uq0DiRnRnhdDYQ\/iMfeiVuD4qeV7cDLSAeMuxUWaPWivHwYDIypHPaeyu+QEoVFvEaKNTW3QImlNH0yHkf9ERSEfUcIcc31+wPS7Py7HgXEEfFTfLZpQk7lgguXToJ31eGJC8jDc5FOCK\/fNBJFe\/Irp82LPCUKey2LGoS4zWPKVl4mBgLbQN0g2xasPjymhNANS38O1+PyYS9VLDtv2YSj190yL6RnIVNpzS6+W9ChFWtHGvOhfmzfRkTiSiUOHlhLY92d6vEkQo++tOhjDIwE\/rgVA4z86JITERsxPvnLwbNYExKJBz20SDCd5a22ujSf+uOooSmFoWu0kLMpa94GC7tQ6xN3tR509M0PVtld7mmaAWtYPN4EZWvS7EOlSF0CtMrmhMrIcPDgkPWcmavTDG5iC0pw+FiGLnToTT0W0MXhtCyJlOeD+VvZgyeYvkfSl5\/+finrk\/J+sS7+wXq3k9qvJ+0JFqWlp4E0Fr48Z7Q6uWGrw0ZpZ0HREJH6K2LeI+SyaGKp51+O8bWSEQMPG0LJEUaV4TwTQ23ZtWWZTCiIAnmxhcqV7MOlsHQzg6FWeoDi\/uhJG7NumKUbxzfwHCn+7pUOedBNwbZ595R3IKz9kgRKfV+0Fwycd1ARdo8qH749C3J5TwmcoeJKWq8JRR0pwKDe5ISvXiBc2V1ZumNZAkk611z0bEXRv\/+BT4a48E31RZq+oZC7EvhWqXjXUMsCBbMCg\/3k6whnPmoK3Sqr9UxD2Rb3cHw5MJplG1LNSjO72LipvEeMYLgp1ykyASjpdpdfVmIq8Yk4BGc5eJmAn93B8h0\/EFHYVyYbRtCAKkvzxT7VrJu4UApTbKN4q4sJpZ558duZOinOD0p5++qdsCWyDXknI1D0NK5g2JX1qhbfPtakTh0PKpapdMJ7+wudZLeNS03UBw4yo1EOg6DMqUr4XK+AT32YuVVKARHKOn87J3DfyjKhUJ4LOXzrhsklR8Ooc61RaZfnHu8HzS\/sGOK\/YFv\/iAjtT5Kwp8U4z6DbTioN2vfZ9w8HSCZDfeeejSv1forIeLDTphtfO74Ux2Q51ugmHGvIU3ceG6Er4i68rYAZ5qYPJbP6iNI7gehVEwpPiNV5hIdQPorgkKQyAfRV0zvja32XLxCEvpN9GICGyoeb0JI+5OAPyYfSNy1im\/SdixLoVFYUAOhV3eTFazK1nNwUrTY6zpGQpJuTTTLpcT+IecCwSx5UWmq1jbomvYpBMaNml\/jQ5zsld2XcmKqkpt0\/GHBsQcQ2Kua0DMeJr0xN6UwnhiPbkHdRpPvg1KKsrbke1y0i8X6L4cijmaIR\/d2cKiquO8fdDxwdWt8+YNtCd+OFibM1kR+MW5yx6+30z3Kpc\/ETbOWku9c0\/99uSg\/JNcfXdGfVdS35tR3xPrn+bU9yX1g7WOO+v2tLpIPqqBkumrlcz5ytWoxGtViI25jqECIp9QiUY\/Sk28GMTXflZ85AOeqCyo\/EJXBOybbU9s20KsFX\/1I\/EEVWRtRNeV+O5zSBJOhRLmJULU7ZumsqLpYrpyEoDZ1WOD\/mr4CkGx8iSud0jLOzcIeeg0KwCS795XL7jzptdgJPKb2YdGDHx7ynJYpGdweeKDB4a4HO\/eqIHpRr6zoSAyZN95XuRbBjM60GJGs5dksEw\/YaBoaN\/\/dLsDVnxGO\/QF5iRAtXegHcTHILjJe+7H9a3PUDnZN\/8zWpehHjPZjsOZaQWWsDiJSNGiV9ufBGDAJxpAXhRPPz4NrB8HAo4RqQthpuWdVsP5L4Cav09sLM4fZzi67xwa1uaTm2Ihvu9Ph7BwmDcKUf\/n7z9k3LD72Q2rMwm4dwhm886IsGRcMnh3rng0b1vMlEFk4iOauxR5+4kSLmCExpYXGsGDRB4ZhT7dzpRiQQ+q27Jevz3V8Jg3Laxp9zp8c3m7Ly+XeUCeJpDQvNvy+9olYWfmbaLMd7r7pgc0kt74xBYHc8fuWQ0xII+z7gtdeWygO+lfl73cOlvK\/tmJ3cQPDp1tZP\/sev52C7q\/vf2zm4Ug9rq\/\/f1zkO4SGHZ\/B\/tnECVpFpG\/T87+2YvdxEm7v939c5j4nut0f3vo\/QC4Hf2Tv3+G9nbr9e8H++csi90tJH8niN4u2sKuf4m7f053wc7t2k+8\/bOz28Gt3f3t75+TXYTuEcnfwf45DQIn6tpPwv3zzo4CuCN\/x7a9f3ZjN3ZhX4BmJPNh4PYFaEpABKKkK3Ds\/XOw9Ww\/6wuc\/bMf+\/E26gvc\/bMHthnoibr2\/nmX+CMN19k\/R14QgbQvcPfP2zRKsq7jDQT7Z3tr7+yuCrK775+dyAEOHEvc\/bNjO67TTw+6qtw\/B3HohX3bxP\/l2Qu9xPdJ2bEG7f7ZcZ3QiQ+jaXf\/7IMojNOe\/AtEL7me1zPDCaRwXx9j8MXe4J+vW3fdvY0vcPEzNwg2\/b8olLB74wSKav9sx3Zid13DBr+9LOVbbzjdT\/idDobV\/aSBZLR37aWxOYP30n463Gf0cNprZW9vCx3ezKU4SmTgVTMSJMfm1745dBU0PkzAFcmP7lkJj9SjOm\/zBBTDbGTV+BD91T3oT+GsDOlKN2xpA8qm7ySy1eyTa5wnVgz\/kcP6i\/3VxZ\/dQZtsv5cTC+Kf+wAsJJAOEuc3ibuOqwyQwl3Rh9fqoWMwFMm3J8ygPeAsJf3SGO6ycJR+IExiGI3SD0m71B+lnwvCNI5G6WenXhaFo\/TLUrjrpSWSflkcZ2E6Sr\/Mi2I\/GqVfugscNxulHwhd341H6eeCbZSGo\/SDcRh5PiX9YpD10hpJP5gCh5Z+MNrGwB+lX+gGdk8PSz8YoR9K+oEE+tCnpF8AkiiJKOmXZvFIA0k\/EIA09SjpF4S7KN5R0i+GoQ8Y6ZeELgCU9PNif7fzKekHYeZmAS39siRLspiRfpmbub3M7KRfFO8C4LDSLwmTpO8gkX7QgSFkpV+YgbAfFpF+aQCDzBWknxttvGgTuBv7a6CTf9uAkX9kCILdkoDWNQniVRS7dDy1kwaGjqGR29Qf\/PwHP\/9T8PPkMXPVgbJ8e2rQVZxl9Ruk8iKPqecK9Vyjep5QzzOq5wv1fKN6gVAvMKl3EublZDQvJ2FeTkbzchLm5WQ0LydhXk5G83IS5uVkNC+JMC+J0bwkwrwkRvOSCPOSGM1LIsxLYjQviTAvidm8hEK90KRebNt8xdi2zWo6Yk3HrKYr1jT6GrEj9tYx660j9tYx660j9tYx660r9tY1660r9tY1660r9tY16u2lavial6oxqYmUE74q9l0zqFvCI19V4dtL10TKDF8VKzgGdUGS8FWRw4pRqy9ioy+GNYVPo3QTpysjdZOvrAyyoSujQwRfGR8szD4uNknxX1fhk4lqz8kjgGQ\/uimaETNJoRgICAcY3sKKYfsGYRc5hYMoXV9ioyPZoIyCKxWzhfuPMtnTgVhdigtn5ax8FK01XZsYjce4NYn+O2rsjPbr2gZwWK484lnI7t577dLxw3Zymu53c42HXvtdKBqjmn8NpMr5ROwMjRuhbLe\/qdZG0w3wLpKA22nycTsDQUZgPx5ZBrFEP3pyezPyCP6birFhsmJMsqEQ5jYVhde5zk0bWdDwTrDOW1ncMAeHTSMT8HkPGUCYzkgkQ70aHk2iyfRvKL8OAYuQZ7aIjxZ+Kh22huwjwJGULZAMHfD9AsqUTtExHac3fxTfUVhu7zzh07lg\/SF4iPEdpRFjxZCAR0RgoCUOy6sszcaQUyMkQZ4JKJIvOJPdr2j1rMeYU2rZuPaY14+J8\/WxuOHigR+9ntSD7LO9KAKjh+5GkkQ4IpSUOjeOwXr2JBmyDBPasINSwjdxr7JracFSNcLf7xttzqAopKn3lmMUZC\/WyyW3Xm8ztuPQYDt2pNuxO7UbL74y7fp\/vd2JCdHReSAoxN1jSru7+qoahSjflFJ3EalkoGhkZJTKCE0mzetvT9cLFes9BrX\/pxv8i\/uftv2\/2E\/0JKFL41dY4\/uafnE6qi2Eby6t3srJBv\/6gAYvOb2sjNH09BxHZJY5YmjXl+95v7WF1M4WToT+y2R4z4GK9HN0gwOuUQu\/PZ0hclrJN+Y1KuTHl8uD5tUMKpBCuGUzWyd6+VT7ag1d0oFq7uixbj\/VvHphCbSItj9FTK33S75LlgnEKLB8PTyEoi1QwoJVBEcwHwLYYQKT3SP6aBqarTnHoIFoFRvpzVEPR8RD1SkPuqRjy5VaR47xLNNhJzZNhcoqYtbQzsY8bg2VQ7E7ymgvp5Vtk2PRzfBoM1S4RyfxReGo\/HrN67Ez\/py\/kTwgP8SgLAI2ZRbCwtME73kzRdNdShTFHokxUcsBV+85oTAdw7Ej6p7RJyZDqvUEWcp\/YvQBM6T5qqc5B5T+cTOYI7Sb6ajHZMOs\/ckYZ05XlSu2s\/rUncRAcxpOoVJ0BONAe1Uzb9+e2lNejm2MoZCm5FC6H+77CpNnEsHL042JfdmYbiiHa4\/mmIEkHSB\/nqq2\/xqb+bXH3GZMSJnpTLzOnAo7MiT82xXMorudMXMzRJSxMDmD+gV7suJwp8kFiy5d1ouXx3laYi0VWPSJ4wLysrW6kyDpoyGUBtpz51rImJGl6Kw99bXpSdP1xJRxL4r2Gn89A0NEm4qhX9vmJiihp\/xa3cytSgmJmwl0iek0JqAoqmurYknGPvLPxHMIj8xUCtzRT89YhhQQpPjqcT5KhLH0qzVsb8rMpsfUGsjOqRpNj2WxqixlXCufCCnwgyk3pzk4mp\/UZ2GdCKOCRaH4FM7jP8UreOzOoTzqHjoZZ8FXWLaNgeLHdbQPSH8ZXJZvc\/DYeJqnbr6XieCutpANlvuamwXUkms9Re6hgppplNoNFjVqKm5qBKS5MV3md3yffOQPyqpluhTrqmnkJ7eJ4d8lZPrmSJZO9Qn3sWceBNfzsFPPsi+FcgUY6rZE6EqAcAL64B\/Oarhfc61Cf\/VWHt2AP2Nyj4s5uKutWJ7k420WkJMJrI4VjCSMsXpCiAr3AaYIUY2\/Ns4NLzRtbB+6+zA3ZV5ZuuOl+VmmgrummnKKQicWHRqlBxjjDQW+V+J8Ey+7w2NtnaSpjpnfRoOFNKc7AVU2wucyV7yvZSKOVQoNZptBg913eMT76vTi7o2lm9nUpJKn1lodKIXOZAT48nT4iixgEqa78iQeUiqkJHS7R0CLhFShvGvgxA097S\/S+cv95QV+ZDU4w2bo2C2rqzMNDdVWVKK86fAPq4BHWKZLs2QgX0PszSRNmis4AOkwtlWgn0NfrdYQq7u\/K+scl5T29xf4seB2nfYodJnMtTbtSTThNkR7CI1\/md3EE98eqvO8k6DEfYlyb5TDsvFEO+8+w3s9ofbdF2aOUS+JK9+lhk0DFe4jk7fFZvS+54wZWslJ33OBl1jfM5d2BpTkcfSkfm\/UEZQMxsx5Ag2JnHxO4AL7q4zv+W3gXLEDjmatMATRTsEQZNNlo++NXoHplDIhLBCuN\/aMvhDXiN43JaImOpL6ppiTrvPySNPG\/oLDV7T1ni+sDySyOjLrgJ8W857F1bvgQzGzsVkMkFTXsr3NNs58ggvamKyG9x3gk9ccmqSuiiIGdf8ausPTUL7RFClHEt+nPndSFQW4NBCniMG\/Sbyu7h4kAlOhAbzy5OWjz7k4uO46vAs7yUuj9Ek3DbkQNm9txg\/JAQY7vM7yNesH3+FkXs\/6m4YerkWocqO7gk8F+nYFL2Kjw8GDzgLGKjvX23kb9wSNz0hQrDyD8R2QZCQaHLmErYZkM\/EoQSd6kfUnQc1bfQaT7g3GK5\/WgwMDrsVniaaq229PoElgmeJNhBshm0+RW5C6jjjzepHCyW7MIEmlqOxd53tRY5geT+6GyrvEnvM0LeDPBUt9NjzTosXSNRyDUWvsjVMRs2NsTTg\/\/Szv+Y4+ArlatfVtfgDRslsetlkyVeT4MsMaqSCii4KQVaXvm9WxEPO6ZHIFLqtHXbPI+2OQkUvbJQ67bHEPeQw0OplYXjaw7RJL2yuzYF5pexNmxzA0JXP\/zmUZrdZZU3piJq4PfiW7VqhqrQbly4Q6SckX5M98eNCJXGEpe9MotoJKxJpgIumJwEzV5bcGS6OinNGmfpsHcet89RBeZZfm1OPTnArHem373\/9WVwXsLJljZ7ojTaOtv6Lrf\/\/TuOtuuw13O2vTNchOOdV2Jz2HlcnCMRsrA0xPhThLXXC3omcP3\/sPgrJwlxKn6HraIz7MC5xSUyRoDvNiqEw+fLcnVMUPnZWLt72woiA0FgWKDqfF3AWOljc2B3DhEGarOi2+p\/nrnHWcFqu0ZZctTt64veuwrJPTqNX0JrHJb+ensP4nW0dtflFGL0e9UaRPUEtvkoHNYTZHNq2oC1HAv0PgP4MQy14JecHMq9s27xPHi5E1TNSQb5qwVd3WHcuPAN4Lt0e69uYuP1yrnUoRO\/vCR9eQseF5vqjDDaTqKK65McCfszxXl6GXYQdForL8Gsbc1LJVL0lW61DshI6IVNwYQcI5JEV+sVDypU5n+RLYv8wMgE3ARXNjOt6OurLb0Q453JVG6JrCtCj79x3ljmd0jpmXrYhGrzKXsGk\/ftweuF5E6tJc6DNCjLVxovelIspeVn+aVPL4jESMhyxJUSRUveH1+na2qgSCcv9sA\/Rz6EsJAKUXop+xMG8RBjT6GcoITOSznaKfoRTnWN0\/e1lkY\/BQUorkcwenHQ+FHe4z2zzCdn7OAPoZypIet9JLoywNqfIaJtcagXDGPgbu7stxmkIEGO5nO5pOWaFPv38O420YucOD3yx7\/5z40c4DVJmzf4ZhkkQZVYZwUz2QUkP7zfL2z9ssdZItVYbwUzMAd3Rd9D2EpmuQl6h1J\/UJuipVjEBRk22W7Nhid\/\/sZ7GHwUCpYgSgvtvFWcYW+wiJFUZUcVNWbxkoCtSsF3v+1hYfOfvnMAiCWPLI3T\/v\/MhLY\/GRt39OvDjMXPERAmzN4I7uRpXjLkQgAK7NFjvoc+wYbkPFCAo9A5CaJ1zsIX4FXuyyxf7+GbELHJs8QdCiJv3YcX2bLXYQELu79R22GMHKxwHAKPBUMca3Bb4fssU+hsUNATsBeKL9INgmbDGa5HjnJT5bjHks8WHIFnv75zSEUbZli1GT+J+xuK1qiNpMI+AFgCtHiLQgBJ7LlWMwe8+mFj0pxzj\/23Trc+X+\/jn00zAZV0LT4MkNs9iDgClFjJwGNH+jUtRi6Caex5R6qH9+SPevIRPrRn4wzuCxAE1DcGgde0P+Z3+NojUjoKo3FpbeD6jnLx+C+DmBfyBs+wT9jHKjg9tFWP+UoETbQoO\/LXAB1bPugbN\/3npeuM34By5i7sANA\/4BYqpgB\/yIf0C+sQPGB6\/wiBkZ+MBNmFLEVFmU+QFTildOnIWAKUWoz0Fsbx2m1N8\/7zJoU60dLxc8zpRpDZU6++cAtcaWotwObhxRPINKPSy3MmAzpai1GHrpWApg3Y3N9tjSnncBU4qWqMuMGJWiybRBFLIU8EymO6oP6ZWwrQ+8zOOKUXt26Ps+W4w+oL2zQ+5tD2WsiO2IK0ZNRmkSU5MBOrbxgsBmSvF0BjSXoVIXCbLIT1gK3v453gFIiQlUiuRsmMKMlpzo9Ewm1HUjrhxP6danlxsud7H48L2EK0fT6sdZwNPHEws9amKTorqmqF0382g6pBxlxkgCL4BcOWJUbxtHEVeOdjcX7KhZJOUIWDxMAaTaPRVExruAYndUitoEIaAYG5W6eKveUTIblaJN3U1DioVRKZHvgGI1pHSSyUUczxajrwl3gGJtXIyx11M\/BWwxmtkw9SLIFpM8KDY14VlOxHuWpWEYssUIlz0DNsWxuBjhh2ch8FK2GHOsF3kcbfwtd\/Eupk9UVQ2REPSz2A4z6kFzqq8xyq3C7MuJ1YBXUJZg\/5ymyY46YiQIlrxp9s+xn0Y7nz7kwZYcPkM3ppk9sZK6uiDZGEfUZpFY1zpGB9gs22Yufco7Vw3Ik\/0z9HYgoT6rlSdw\/5xkaQTp0hig6+39cwSjiN6iW+SJh79tFsbM\/ocfoDPKLvaDiH\/gYsljewIpLJJCyQM84V7sQ3rCr7Cwsqpp8oIchraAf1pekwKCWjJQ\/Pj0kdaV7HCMHuJVK5lT\/PAtxzpAhprln8V5hb+2R+143aMjrCRfgzTXVjU4QnxEhfRiJY+r9oTO91uwZYcJsN4QpEHoj8x4gdWlgJ3MBpTM7h445EzpCw+QTLMjeil1D8heYW+FB2S7sGPfLIcIr1qlURqlCadaccoNVq34ExxRrYADHAB41cqPoyQJOdUqRmmGeNWKo4pVKydyIicWVSs3DpPYNlet0siJQ1uiWkVgFwKPVa2iJHBsTrVKo9ijjkBEtQKxFyesahWAmORToFQr2wlDaufoVSuu6V612sEEQEdQrXywi1JPUK1cJwyp9nrVyo89sIOCarUFTgZcqWqV7pIok6tWsb+LoVy1itIwS6BUtQqBH1NbDK1a+YFnR6JqFUfbgNJcetUq3cZ+KKpWuyQJdkBUrbId5It9pLAGaZQIqlWWQg9sBdUq24Idte561Qqig34mqFZx5AIvEVSrIHNCauvtVatklyYwE1SrnRcn0BVUqyDeBUkmqFZuFm45bRePMvYYtaVXrTiOHlQrjqsH1QomMEwTUbXiuHtQrTgO71Qrjjc71WrnJkEKedUKwszJfF61ynwQRIJqFbtORBlmKNXKDexN\/69eu3JcTruCKUypNUC0q2SX7Kgv0GlXW2frbGXalRs7iQ8k2lWATnhQol2ByPeCTKJdwSSi+YrSrmLoRYDXrjIXwiTmtaskTBPqkNZrV0kchzteu\/L8CPoZr13ZaUBbmjrtCoLMpeU60a5AmLoR4LWrIAJJCHjtyvUiO4x57cpxfUjt1Z12lcWZlwa8dpW5SUodvXvtKttF\/o7XruIwtF3Aa1fbyPOcUNCushDuUkfQrmCYBLutqF2luyhIBe0K2GHo7QTtKvS9xMl47QpmMM0CXrtK\/Dil1mGnXe2cKEpsXrsKssDeJbx25fmuE2SidpVlWZgkonaVpWkWRaJ2lUWxR03qoF1BbwvdnahdxbYf0ht3r11lfhZQNqFBu0InD2rXG7QrdE5IAlG7iuKdT+tAvXYV2uFuuxW0K992Ap\/Xrrw4cKNY0K6cnUPtFJ12FcBkF7oS7WrritqVm3iQItFrV162zeJA0K6iLHEoo+mgXdlJSI2k164SP\/C8WNSuwsSnNpteu4JZRNtAeu0q3QX0Yui1K2AzhqReuwoSxug0aldOHMYeELUrEEYg9GXaFaeCDNrVLkkc5ig9aFdeFmW7TNCuYLjLbFvUrtIggEx5r10lyXZH7fSddgV3EGaeRLtKosSNfYl2tcviJJFpV5mbulswR7vivsKoXQHPdZ1J7SqEPvD8Se1KGCitXdn21o3dCe1KmFNKu7LtHdx6Uu0qSsLUc6TalfA1WO1qG4dZPKVd7fA\/gnYF\/TRJUol2laWZTUmQUbvKwmS3iyXaFYx29MY7aldJEAAvlmhXSFd0vcdlvftDA\/tDA\/tDA\/tDA\/tDA\/tDA\/tDA\/tDA\/tDA\/tDA\/tDA\/tDA\/tDA9NoYBMek2\/nm4XeR2Bxe4w0g\/887ZMCnC9fAoRHsNmGr6fNLrRRsi5JQj6D4J+38z67FkWT1BCWt64Jx7ZfTyOewkeHpzAVPJmA8hU0659\/QX6cIC9hvULkv1DN71DWsClHS2aoyG0cDXeDs5GRdGTWysF+++vVn1cuSk7mX97X6+mZQ4hvRyhLUdi7lJLuo8GuRXdh6Th7zXbNxIw7YoBh9\/gE8hq5zGrhFmRV2uqanLpUiz1qQBc9e6xBzKbnOuRoyZFXya9QMzN8gjAhptPGP8hZn4ub1BDu0PLPJJ52TA9lFPkrEElrcBRooPHHeXmcJkLYUeY8jgeHfLJlKUfwH2wQxXQbZdUkdX5pZa2QMJSBwxBXr0mICvJalkch+byvfvluYTf9BiZVmYL6Y3rqh\/mqIUg\/hsBdvqcm2WCRfEIJZDaTj2uQK54SuK5m+oVLXk4\/bPPL9MNTXra3qZWJtbb1wXqD8UveWui1tK4uVpYXyMITF9f6i4OlJP9oRT+bcCgXV6hFYm6EoCDiqT6uJhvHQ6CUQ0x3yeO1\/Itf6vys\/N4dg3vpp7L4wFXnKoXfntx0ZKm+\/c2CuhgZrzFkRo6OJ\/TBtAfHooohX\/mG5V9e4GhzIvqXzIaXWlVZfCzsSlfbdHV206f68BQ0kLCzzQguGxqblU66rzUtF+0DHT+sSgHBBsUIOahkKagGY680uocEPo1r00aoa0xNZDteb4S9j3niyJ5opmPuHJI8Zqqgx+AwxhORie1Q5cghAx0JexHg2Wh3YVomwUtpXsPuiEEC92bILv1KwWP49lRdYDmyOxkYE0ilmQXmjy6x2f3pRURmcnx4JgyCI3myqj7vV9fLBdYJaODizXk6U5xRQmt5XjgqqZ3bhxcP6eLmHzd1nZdmk2PSjDPzG9r2QT\/UfiyKbQ5jzvERaDjq9FKgaWEJMjmKqegx12aBMCXRZL40NrN87\/diKz6Km3X\/TMwuIpuQxRGWw1dIiqqBswSIhdBRboIahwoINJ4VwxN4zdGwOtWNSec8RkfPQdLD93LV9cLiRdkKILC+xupXlsBMRUtDnWPjfs34XEDmRG4Y6fpXBmVi2f8Ba7OAaZydkomaJisETz+zfpoW1K08p3UHEbIspbUcj25h7up+8EbZ4nU0GG11WkPIEx7CTqGogBYZHQ3fxpljTF+uLvPer6s3lDr+IeB7CmF6gsnLAG5JR9fSOUb7paaAETVXhialany0mmudgQSyiWUmgMkQ5NhmRN5kyjWswwH7spoxmRKa8ITk124NUwYU5nhJjVrTayxceLHRoSeY2fQ6OiU4w5u4W\/OgE6bA6ROz2sElS5rWHJrYdn1tu1ZTJzdRVosYGouEdVtVSLMaDwpIIqMjsBeqFhauNvd8X11uhickJP9\/amWNzNRJgKKdcZ2jnYHHDBcNjfrGpGH7Cn2v7nE7sXShYTLkMNQTQkMudJTdRUkCtJro0g4ZawBdR2TgppK+dbNlIamM+2cFoyqnhRGXp17nZK5SuM8Z1itgkm17\/lxEOlsEKWGX6yOxSnqRP9pLQZpXIxSjKVB4ZwVVquc+pZ7X1OeSQIiIWvikMHBpTcbrgI16dsD3Jd11SYQuSMQLHOEYr17wDbzwqEK9guVO4K94E+DTSxYwOs+ZA5AIqrMsc0PPqC6XycFzJ9GbzQ\/Qym2OPV\/3\/B8K25f5+Rofd02O10vNzKgBstXD9wso0\/EEtTGowx26bspOHJYqCHgS0rxBiJupvI3+6ZjzFAVpX4tW+JDqZlYoff3kAZo+xw4GpA48V31QbeDxZiQWRBHgKoDLFDeRFISZsltILbl\/AQ7Aa\/Q+GxquN894vd2Zbp621UgszSGyNBvfYpKpYxgmoBnGZOJlgO4PWzZdG2YrlTF06XQh\/bg+f7X2LRkq4Mkpv3yy9p1WzBldPC944mm5N+AaG1MdflfzGVNxD0R5+D0uUR9gtEOfpZFIxv3KWTkUpCC3t9sGeUCwFFGZQdW9uo05eGYCCm5pGRixdmklDKWBNH\/w0QRxiuwOzVgK4mXVnU\/kNpYpO9LSa\/FTfpGfV6Y6wM\/G5whb1C+rBufJw7QG685T2\/XyCwPSrUHnNs7O0dMebUhqA9GgVTVv355q8MaB26MPDGrkoZnmsGy\/OF6QwuOGlj\/IRXO9ER2uljhm6DrYwhqFseg6GdlCJ\/OW7SOOV3pUH1k3GuWOETJ6Zb9ZjErgr8iwsR7vgG2Zuki5wSEnO9+Wqo3KC6OZV0Pd0OYazEDb1nncCV67l\/+M2KdAfj1f8LOadyQULKSqIycnJeszKCjPi+5IoTAg5miBSXYU1XURGn5\/XeQgDtigEoK0S0CPyQypTAkTKQGpbu1PoPnS3ygW4GN9U3XHsE\/qJhnln77SjfjkixF3cRfqRtN5ptyFpyvcC4q5Ok0y0ptDz\/a3TypnVjeiAWdX99p5H2Dkdbzfy8qLO2tm6F3cKWOTKOkMStQm6wzpRERZc6n+BMrGB61I1\/ZLWcWTbUcqQ3J3A0hmzArvNC27E4Zl\/SmO3MzemKXOWgtWu1kHZdPrSePz8ty9RLQmRGpXI\/MbdjRVciXe4M5Se++pMgToekWp+awe\/1Pt4as2qhPuRJw4+FNTU4h\/Rc1\/sQL7l42FUb4lKRF2PQi9eDU6z0ES9XjuSUaXzSDolyg6z3TC1ySBgaznunQDPufw1+d2nuXwh0a0YBKsE78TC+5So2+8mlIzUur8ux57CaVuva7elP7u6AXOjGHi5ke5ZTDMi9NtaXs0KjtY+LF5cqiJVhN6UQ\/sZUH+7MV+lKg\/r+r+vN4ee1t4yUuNPOoz29j9ZW1A+906jLEeZ0wc\/DWNc9CQfsx2IMbbp+BzqmE8iZ+Z3k0TNcW61vldDojlqxrRTE6gbtm8EgqT7wXUL5NGECoEYlBoDbUzTNhCzH3Dl\/hErqJV9QJZ8ymGKFl3j4b8M18jHe0sWUg57EtQqm1Q12jg\/srTtYc01JvQDK3Qcg1JmnFNmnmbaIU6TnEtaT8DiLu5uvvuZ6decgU8jq5AyKOX7IuOq6k0urAiCg+zhRfwSAxxE07Y0lsszoahpn6GLWB8Y8kx+9O8rVCbyCbKTBixkjK+iLZmwq3mGi\/YXVmN2Z7wAl68WXUdIxlZCjAkZPm9ziWo\/RjUvEBUpCfydfMcg5pynDlfkJEXGVA3eru3tJ7S8LoT7K4E0GgtljmSMldS5knK\/PV67qB75KElAx\/rzhz8CK20lpc7E+XuRLk3Ub5kQqp82WTgenMnAoM7rcUyR1LmSso8SdmCQSNUpiWDJvVmDprAS63FMkdS5krKPEnZQtZfyvaLWF7G7jJWl7G5jMUXDRqhUi0aNak4d9gEZGstKXRkha6s0JMVLhj7b0vG\/dvsMf9m2WsUH2T\/whU7a1S48oUH7hoVrkLhgbdGhatIeOCvUeH8r98sWua42twv3wiLHGOciUWuWOSJRQu+N8EEWzLgvubMMfdAZ2tZqSMtdaWlnrR0wRS8ohy688ePq80cPAZaWwtFjljkikWeWLRgtMfLZclocbWZo8VAb2uhyBGLXLHIE4sWjBbAeslocbWZo8VAc2uhyBGLXLHIE4sWjBYhxC0ZLqk3c7wE6m4tljmSMldS5knKljA0WCS+cLW5DA0EwYVx9sQiVyzyxKJFR+8C1MvO3rji7MM3hvtbSwodWaErK\/RkhQvGjjH6loy9qzhz7B3k4FpS6MgKXVmhJytcMvbTIo0LV5s77pOgb2G8Q7HIFYs8sWjBaJG3yZLhknozx0tAF9dimSMpcyVlnqRswaARWuKSQZN6MwdNYB\/XYpkjKXMlZZ6kTD5oxgmPID9OXVZT4JBaShgqUkkIv6GnQ6Al1ZTIO1paGIxSSQm\/oaXTgVcqKXXvaGkhuEslIfSClgpGx1SSwW9o6RA0TSUh8oqWUp5AJZlcHnTN0CBgnUoy5BU9X+P1pKDULbiDUcihSNrRkXYWk3Z1pN3FpD0daW8xaV9H2jckrTEFIR+bZbYgUnO2MYjgxK5lpY601JWWetJSAwnd90Axv0MnDWk5elqOKS1XT8s1peXpaXmmtHw9LV9LCyHUKqUReuHRvvHl+7en+O0BX7wndPfn7gnd\/a17Qnd\/6J7Q3V8ZEQLH+jGTjQg9ZLIRoYdMNiL0kMlGhB4y2eQmRUGpu2oxouPo6DhmdFwdHdeMjqej45nR8XV09KKLQhhXn+7H9xbt\/RRUub6d7sXFDWHQc30z+LXFjcgsM5JG8GuLG0Eg7Po20FuLm4hzg6mK8+UTdYQGDRzhHV+C4MobfAvy4uKGMEK9vhn82iOOsQSAfskxtq858xjbo+qvZaWOtNSVlnrSUq11BcVjNLL4mQnvGAEQzXugRzEfS7DQNbUf12Sshy11jP+fX4hT\/Kz4o76tgRsQojk664IaGW+odjTAwHI6EAujid4i303N501Q2DqURYpbaFz7FQ5bxl5ffo+RKvGrRg5zTWs17UcBJ7zn73IHw928PQIXFTuXvW3ULvFvqiB11j1Whykljz9mBRlKjKeWYegN7cEBJ95T0sFv6G1mKLEfR4dkNjzn71\/yctXUx3jD2dBQnfUqCH7ZYA68gBqWetMjyf03sy1Sab3ybLYxRptD\/rYwXUlr6nr1m\/KY+5uBuv6b8oD7m4GS\/pvyaPubgWr+m\/JQ+5uBQv6b8jj7m8FZliRY5IjgVaWEURtSM+q8eqsWsk7uEmh0IWxnkVMoChGDbaPBIZHCivdxDr4AYTYEdhiibswLsCJdvvGVMH1Kvk1CajifEin4eNCU+2A6hKBkA9wOLvKrR0OeFfhFvo4ZUJECgMOMbz8Bq8ggBlI7eEOMoTMsr3ijN66Ql7npu81bfsHA6J8MY6SB9u\/ECxEbnqs8w6D50MBbCACKdE4D12Nigv3fCdbosblhcESYO3vZobmbGw828N+DkhA41LfA8VUKNEUW2egOSMVBmijEIda8loOWj+v0PuDygQ4RWxh3VBedPQI2Gkdprl7iRUElY2jT5Z1AD9zN3t5dwZ1VhU4KxtHfTJoTlaJLBU7T+Kgd0o1EDQwHlLTHLHi1UDLSMAe2F7FGtDM6U04MEh5V\/\/aUl80FJu0o43F+to1h7TMEzbWGXO0BDyCpq6ZBczg9iBf4oT6ubkccAAoaQIMI0MfX5+UXDwXTb2jOQLJrvaYWyGAz+GffXyJxf0HM7M9N4INnfe7+gurweWI6KJrZyXokuXncz8nNg3uNzD4ysH2fsRPNCNceqH5P89clkf+uEfVVmlLhoPfNAcktM2VLDKkzmNIwRSD0zQxxjIVVSRYdhVk8GJ89X0T\/VMCJjgi\/pB7bPQrUbLwk1OA\/nSqFsCRWzRkUxe1BAbBYJTKxdASjpSOgkyPqkSxUx455Vg7c2bkSF1f6\/iepbURTywI6XTK+0TDzE\/HCRoebOYJfvQJkRo1Hgi6OWvQA2uxTlnGc3GDGJOBl08sB+GbVEI10FhAb7hEjBdUzPq0moP9LwAU1euOBAzjjYqDAA61hmrfNBAiBzFC5EByga+h7cz2jb2+yowy4Krydi7\/VMW51v++PdClsQV401hnUL3Q+LyNy1pmg6Km3E4LyBpOq7hI5X8sUYsblHxmj6OJ6AxnDLFGkz+yfc83TWg4iRy6equomTn48M2rne5HftGxqRGlFZnZeViMlxlIMCxobahycQ2F8WSNuYF\/Sq78I4HtJ1nWiqB1rgBj92xNoCxQAxfQKS4yecL8bdOiA+BpgAgm0hhcI2i+Ou2GS2WET9\/VcWmSxosGgvGf6y04yRSIwkabG91HlbK+KfNTMyydYXExe7SUpngIyLgRK\/md0mC9XW8Ou9dKUobJb\/XllOWRya6TFDWR9dbr79tooM3QuxNRGU3JTaEGL5DuzHdFqgIFsojpD2XYcx05OerCaYOF+1KXou8kzVtxtu5zCk5WZLn\/HnUKJO95nLSS6y0TLyRXFS7R\/RX+Jcmr8fNtQLqe6xm4EonqfFOB8+eJjm83Wfz1tQlxPk6ZpgD6tR\/CbqbxJjqsmSNIXY4r4DlKRtKEbGsGppprbur9I8rDgf206e\/dWk01CegoKu8M6Y86MyL9GCNQotQK25xvgThPJPmI\/fxaW9Ix2MFKyIJYZgepSuE808L6rFD4MJvLGBI3YAL6Kguwluqj+ZezzRUgHOuj+hvumhujqAwtQC1Rwh9LBcmH4erI6uKVHrQs18qJQG6vqPJCxjvHQ7jVipyJjqLhN6F0mhlalndJcc\/ICCI+DFg8DUf0FSS9fcD1M2A87eSa55thqpFleks756DD98y9nmOZg9eVSwwzWjVXD9JrA1DpXvd8k+ntaTHcJVelMWFhDEjtwo51FkiKXOB+SI2panUFe\/rih7StFKvWe8ayqXgowulalVrxeBS4F\/cLsvFMTkYLj6usVOVZ1jaLffhjdvXdV25hUJFr9j\/sv4R10rO+\/Btn3kU8ZqJvJ6ce7BtrR88tqyrzTnuAZWm11PBZwFV\/btoPYH0wcIe3eo4F0nTqOngvrDKQQxzgz7p7e4+xJQPEElK9g0qJxLqyqHLgOv3rD050XefuxXxFTmkllciXFGmUuoLTe8X8\/lGNcfT2DS5HHNTwWXS+mPn3nLybPEuzSFzSEI2a0W1UXWGN\/ZusIm\/ZaQ6tJagjLyUtmtPjQBmxwUJ0w3zWg5C4vp7Xxc2FlEKYN0+tLdble+kuQGwuR6\/aQ1o+6hw0UeahhAV8BBg\/Vmd\/pizV0qnIn7tXmzZsrU1P8+VOJNjoTu5Tqa6A7IKsTC8OGSZ+QfE2uVj6zpTHEpGGvPi\/b5dgB8scF5ToWbjNlvnYzCDIQqwzo6N1GcqUCey6wgQBOJ8hgUgjhPyivC+psEdq\/yHwmfOaK4FM8LR8itiaum3nn2hmXN\/3Uzrq86StJU6woXfX5RGGd7aSeRHWdzNmRgCvihPXhFdZtnoCitzmc8zRV4WEj3XP1fzHjMPAHyQvYfHuqem\/BgSMHPx6lbMB5exrlkWJE9CZfQp4OYeBqR9mYNpOMLQ0gwfJB63wiucWatWNIWNYVzUiSpCMOSmGq9y8adzkbL2TJqWxDntgTz6zph+SJ\/JmleKj8XITNzoX1kpfpt6ekupZt\/dEnO7gjF6x8Ij\/FGUU+krz9ePoxX0zQmzbjxYKtTA5J0W0oKFgOmSUtuDEl4PLtyaHGMyHUVLuIIUPMlMY1KI9wRmjWgcVJR+dVz\/3d9nLc21VeXq7tjcuHSl394CwxIEE9F+zApFjXxNxZpJSqLrvw6A747clLDRbknSaISbXMxCYxpi\/6gPXAtE0LCti7yDCvWE2d0NDu\/CT3O6yCU+nE32LGCtpuFdpSrsP3aLqcXNMdgNU8X63Bp09MvucuvGLCvWDm9cYYzvmEf0wanIedOY07N5Fra34qLfO56RY6c2u0LE+tkKTtbq8ZJNVxlpaJxLaRzdomxUwsXOImTTurS1V8aHOxdOJNyJcS6Kh3f8SgTPk0I50kbapsIKyTh4Qm+jQPy1mimqBjcZMfCvopjrDY8MWFq6I51ysty8t0zk7K5jFDi5oyHAwa6T2pU1CPrLxUbJX2QTCCLk\/LvUSzHRbm0qgXT32L0U3Bfn8pQAJPVZFOuZvqLsJ7Sg+xcKtbKekA9t\/hZDW0SwfkYjOkOvsVuhG24ir9YDeKbt1sZlRErDGVSW\/mbcCwmdKc7StdplDC3Y1xal6FAyk5\/NG5e\/GS4teYLoGkGp5ko7myM4jEVMdebozPK+YDGxzZqXlRnETR5zdz1X5MnnrU3qp5PW6UPILeGBxkad1NmYB50AWya1F8e7o08JoiAJ\/R0pLl7zCV3BG5jr\/1I8+27UPnBuLYdvp6okwwQsLyZbdKb+c96h25PZkZ8cQOi71dGiYI91txYDgbX5vNM1Em58tcZQ5FrkxDy4xeLuNnGg59Qi5hR+clPW80af46OxsilrUoH+JGfXIZtxwTiS87U\/Qf29Z6Wwx9HyLHqvcD9btV1QhQad\/bXIZneCPFvlB770D9sfIEM+gdTld9NyWtukyrrsb\/asrXysXOqbjLBCrCiuEJvObYcYz0+ufP\/xc=\"><style>#nxe-n1078y05.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n1078y05.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n1078y05.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n1078y05.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n1078y05.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n1078y05.nxe :where(ul,ol){padding-left:20px}#nxe-n1078y05.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n1078y05.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n1078y05.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n1078y05.nxe svg{display:none}#nxe-n1078y05.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n1078y05.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n1078y05.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"fieldmap\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G-P03 \u00b7 TOPIC \u00b7 early-warning-readiness<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Disaster Resilience and Recovery<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Disaster Resilience and Recovery<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Early warning readiness<\/h1><p class=\"nx-tagline\">An early warning system works only when the whole chain holds: risk knowledge, detection and forecasting, dissemination and communication, and preparedness to respond. Readiness is the last link, and it is where many systems break. This page sets out how warnings lead to action or fail to, how readiness is measured, and what evidence serves the authorities and communities that must act on warnings.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/disaster-resilience\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/disaster-resilience\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-stage\" data-lv-fill=\"map\" data-lv-id=\"hazard\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"philippines:disaster\" data-ml-points=\"on\" data-ml-src=\"disaster\" data-ml-plan=\"p-e55de41f\"><div class=\"nx-wm\" data-nx-water=\"ctx-disaster\" data-wm-domain=\"ctx-disaster\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"116.5,4.5,127,21\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"Hazards now, the Philippines: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"flood,people||||\" aria-pressed=\"false\">People and floods<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"flood||||\" aria-pressed=\"false\">Floods this week<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"true||||\" aria-pressed=\"false\">True colour<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">3<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Hazards now, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"flood\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-short=\"Flood water\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite detection; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Flood water, 3-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS Global Flood Product \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"flood\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"true\" data-wm-z=\"22\" data-wm-lag=\"1\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"fires\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-op=\"1\" data-wm-breaks=\"10,50,200\" data-wm-short=\"Fires and flares\" data-wm-prov=\"NASA LANCE FIRMS\" data-wm-kind=\"Satellite detection; clouds and overpass timing leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Active fires and thermal anomalies, last day<\/span><span class=\"nx-wm-layer-src\">NASA LANCE FIRMS VIIRS NOAA-20 375 m (FIRMS) \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"fires\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.7\" data-wm-short=\"Land cover\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite classification; latest year GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land cover type (IGBP), yearly<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Terra and Aqua land cover (MCD12Q1) \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"cover\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"imerg\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-short=\"Precipitation\" data-wm-prov=\"NASA GES DISC\" data-wm-kind=\"Satellite estimate, near real time\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Precipitation rate, daily mean<\/span><span class=\"nx-wm-layer-src\">NASA GES DISC GPM IMERG \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"imerg\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"tools\" aria-controls=\"nx-wm-menu\" aria-expanded=\"false\" aria-label=\"Expert tools\" title=\"Expert tools\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 4.5l10 0m-10 3.5 10 0m-10 3.5 10 0m-7.5-8.5 0 3m5 .5 0 3m-3.5.5 0 3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><span class=\"nx-wm-sep\" aria-hidden=\"true\"><\/span><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"in\" aria-label=\"Zoom in\" title=\"Zoom in\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 3v10M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"out\" aria-label=\"Zoom out\" title=\"Zoom out\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"reset\" aria-label=\"Reset the view\" title=\"Reset the view\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.2 8a4.8 4.8 0 1 0 1.5-3.5M3.2 2.6v2.6h2.6\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"xt\" data-wm-xt=\"6oPh6EhWj+gDMzpLLT8H\/wVfxJakWdyAB8snze2Nado=\">More expert tools<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>For early warning readiness, in GCRI's spatial-intelligence reading, the map opens on flood water, population density and true-colour imagery, framed on the Philippines; every other NASA layer, live feed and forecast waits in the layer list.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 NASA EONET \u00b7 GDACS \u00b7 Copernicus Sentinel-2 L2A<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.lance.firms\">NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.modis-viirs.land\">MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gpm.imerg\">GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\" target=\"_blank\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Live: NASA EONET Events are indicative, not official warnings.<\/li><li>Live: GDACS (EC JRC \/ UN OCHA) Events are indicative, not official warnings.<\/li><li>Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer<\/li><li>Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/li><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><li>Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/li><li>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/li><li>Precipitation rate, daily mean: GPM IMERG, NASA GES DISC \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G-P03\/topics\/early-warning-readiness\/#map\" data-nxf-title=\"Disaster Resilience and Recovery live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-s-3-sec\"><span>02<\/span>Anticipatory action console, in\u2026<\/a><a href=\"#nx-sec-question\"><span>03<\/span>Early warning readiness: how the\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>05<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>06<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>07<\/span>Where the evidence comes from<\/a><a href=\"#nx-sec-decisions\"><span>08<\/span>Who decides, and what the evidence\u2026<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"split\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Early warning readiness is the ability of authorities and communities to act effectively when a warning arrives, the final link in a chain that runs from risk knowledge through detection and dissemination. Many systems break here, because messages are unclear, trust is low or people lack the means to act.<\/p><\/div><\/div><\/section><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Console<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Anticipatory action console, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-disaster-anticipatory\" data-cx=\"disaster.anticipatory\" data-variant=\"section\" aria-label=\"Anticipatory action console: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Anticipatory action console<\/h3><p class=\"nx-fk-sub\">Early warning readiness \u00b7 Province C \u00b7 Monsoon season<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Readiness trigger reached<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Disaster Resilience and Recovery<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"steps\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Protocol<\/h4><\/div><\/div><ol class=\"nx-cx-steps\" data-n=\"5\"><li data-st=\"done\"><span class=\"nx-cx-sn\">Readiness<\/span><span class=\"nx-cx-snote\">forecast lead 10 d<\/span><\/li><li data-st=\"now\"><span class=\"nx-cx-sn\">Activation<\/span><span class=\"nx-cx-snote\">lead 3 d<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Early actions<\/span><span class=\"nx-cx-snote\">72 h window<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Response<\/span><span class=\"nx-cx-snote\">if event<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Learning<\/span><span class=\"nx-cx-snote\">review<\/span><\/li><\/ol><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">River forecast at trigger gauge<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 210\" width=\"460\" height=\"210\" role=\"img\" aria-label=\"River forecast at trigger gauge\" focusable=\"false\" tabindex=\"0\" preserveAspectRatio=\"xMidYMid meet\" data-fk-chart=\"cx-disaster-anticipatory-c1\" data-fk-xs=\"lin,0,23,36,446\" data-fk-ys=\"lin,0,100,180,20\" data-fk-series=\"Median|acc|l||0:40.732270874269304;1:44.767472724989055;2:41.54895009007305;3:44.15752700939774;4:47.986656322889026;5:46.16261791409924;6:49.73517303224653;7:49.68119575083256;8:51.39564508656039;9:49.15242794603109;10:52.21942120250314;11:51.810629738587885;12:53.85320195509121;13:52.64075047327205;14:54.28335042558611;15:59.798494865372774;16:61.204694063961504;17:59.0039260215126;18:61.79588998006656;19:59.5059016270563;20:62.3139861702919;21:61.60634690485895;22:63.43829948687926;23:68.52793199792504~Ensemble, upper|s3|l||0:46.732270874269304;1:52.96747272498906;2:51.94895009007305;3:56.75752700939774;4:62.78665632288903;5:63.16261791409924;6:68.93517303224652;7:71.08119575083256;8:74.99564508656039;9:74.9524279460311;10:80.21942120250314;11:82.01062973858788;12:86.25320195509121;13:87.24075047327204;14:91.0833504255861;15:98.79849486537277;16:99;17:99;18:99;19:99;20:99;21:99;22:99;23:99~Ensemble, lower|s3|l||0:34.732270874269304;1:36.767472724989055;2:31.54895009007305;3:32.15752700939774;4:33.986656322889026;5:30.162617914099243;6:31.73517303224653;7:29.681195750832558;8:29.395645086560393;9:25.15242794603109;10:26.219421202503142;11:23.810629738587885;12:23.853201955091208;13:20.64075047327205;14:20.283350425586107;15:23.798494865372774;16:23.204694063961504;17:19.003926021512598;18:19.795889980066562;19:15.505901627056303;20:16.313986170291898;21:13.606346904858952;22:13.43829948687926;23:16.527931997925037\" data-nx-z=\"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\"><\/svg><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Pre-agreed actions<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-disaster-anticipatory-t2\"><table class=\"nx-fk-table\" data-fk-table=\"cx-disaster-anticipatory-t2\" aria-label=\"Pre-agreed actions\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Action<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Lead time<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Budget share<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Ready<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-disaster-anticipatory:r2-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Cash to at-risk households<\/td><td>72 h<\/td><td data-sv=\"52\">52<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Yes<\/span><\/td><\/tr><tr data-fk-key=\"cx-disaster-anticipatory:r2-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Livestock evacuation<\/td><td>48 h<\/td><td data-sv=\"13\">13<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Partial<\/span><\/td><\/tr><tr data-fk-key=\"cx-disaster-anticipatory:r2-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Shelter kits<\/td><td>72 h<\/td><td data-sv=\"26\">26<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Yes<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Anticipatory action console: the screen's structure, terms and states for Early warning readiness.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"systemic\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Early warning readiness: how the risk develops.<\/h2><p class=\"nx-lede\">Warnings, communication and last-mile issues. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M19.07 4.93A10 10 0 0 0 6.99 3.34\"\/><path d=\"M4 6h.01\"\/><path d=\"M2.29 9.62A10 10 0 1 0 21.31 8.35\"\/><path d=\"M16.24 7.76A6 6 0 1 0 8.23 16.67\"\/><path d=\"M12 18h.01\"\/><path d=\"M17.99 11.66A6 6 0 0 1 15.77 16.67\"\/><circle cx=\"12\" cy=\"12\" r=\"2\"\/><path d=\"m13.41 10.59 5.66-5.66\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">A warning is a chain<\/h3><p class=\"nx-p nx-mt-1\">Monitoring, forecasting, warning issue, transmission, understanding and action are separate steps run by different actors. A delay or gap at any step removes the value of the others.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z\"\/><path d=\"M13 8H7\"\/><path d=\"M17 12H7\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Messages must be understood<\/h3><p class=\"nx-p nx-mt-1\">Warnings in technical language, a single language or inaccessible formats fail to reach many people. Clear messages say what will happen, where, when and what to do.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"6\" cy=\"19\" r=\"3\"\/><path d=\"M9 19h8.5a3.5 3.5 0 0 0 0-7h-11a3.5 3.5 0 0 1 0-7H15\"\/><circle cx=\"18\" cy=\"5\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Action needs means<\/h3><p class=\"nx-p nx-mt-1\">People told to evacuate need transport, a safe destination, information about their homes and confidence that the warning is real. Without these, warnings are heard and ignored.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\/><circle cx=\"9\" cy=\"7\" r=\"4\"\/><path d=\"M22 21v-2a4 4 0 0 0-3-3.87\"\/><path d=\"M16 3.13a4 4 0 0 1 0 7.75\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Trust is earned between events<\/h3><p class=\"nx-p nx-mt-1\">False alarms, mixed messages from several sources and past experience shape whether people act. Drills and community involvement build the trust that makes action likely.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Early warning system<\/td><td data-label=\"Definition\">An integrated system of hazard monitoring, forecasting, risk assessment, communication and preparedness that enables timely action.<\/td><\/tr><tr><td data-label=\"Term\">Last mile<\/td><td data-label=\"Definition\">The final step in which warnings reach the people at risk.<\/td><\/tr><tr><td data-label=\"Term\">Evacuation plan<\/td><td data-label=\"Definition\">A plan setting routes, transport, shelters and responsibilities for moving people out of danger.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"stack\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Indicators<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Countries with multi-hazard early warning systems<\/td><td data-label=\"Unit\">status as reported<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Sendai Framework Monitor target G<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Population covered by warnings<\/td><td data-label=\"Unit\">percent of population<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Sendai Framework Monitor target G<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Local governments with evacuation plans<\/td><td data-label=\"Unit\">percent of local governments<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Sendai Framework Monitor target G<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Warning received before impact<\/td><td data-label=\"Unit\">percent of surveyed households<\/td><td data-label=\"Cadence\">per event survey<\/td><td data-label=\"Source type\">Post-event surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">People who took protective action<\/td><td data-label=\"Unit\">percent of surveyed households<\/td><td data-label=\"Cadence\">per event survey<\/td><td data-label=\"Source type\">Post-event surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Time from warning to dissemination<\/td><td data-label=\"Unit\">minutes<\/td><td data-label=\"Cadence\">per event<\/td><td data-label=\"Source type\">Warning logs<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G-P03\/topics\/early-warning-readiness\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Early warning readiness as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g-p03-topics-early-warning-readiness-floo-t nx-dag-g-p03-topics-early-warning-readiness-floo-d\" data-nx-z=\"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\"><title id=\"nx-dag-g-p03-topics-early-warning-readiness-floo-t\">Early warning readiness: flood forecasting and warning chain<\/title><desc id=\"nx-dag-g-p03-topics-early-warning-readiness-floo-d\">Rainfall forecasts drive a hydrological then a hydraulic model; inundation maps are compared with thresholds; the mandated authority issues the warning, it reaches people through every channel, and action follows. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"split\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">Sendai Framework Monitor, target G<\/td><td data-label=\"What it gives\">National reporting on early warning coverage, plans and risk information<\/td><td data-label=\"Licence class\">Public, UN terms of use<\/td><\/tr><tr><td data-label=\"Source\">Early Warnings for All initiative reports and country assessments<\/td><td data-label=\"What it gives\">Progress on the four pillars of early warning<\/td><td data-label=\"Licence class\">Public, terms per publishing agency<\/td><\/tr><tr><td data-label=\"Source\">WMO Register of Alerting Authorities<\/td><td data-label=\"What it gives\">Official alerting authorities and their alert feeds<\/td><td data-label=\"Licence class\">Public, WMO terms<\/td><\/tr><tr><td data-label=\"Source\">IFRC and national society post-event evaluations<\/td><td data-label=\"What it gives\">How warnings were received and acted on<\/td><td data-label=\"Licence class\">Public, terms per publisher<\/td><\/tr><tr><td data-label=\"Source\">Global status reports on multi-hazard early warning systems<\/td><td data-label=\"What it gives\">Joint UNDRR and WMO assessment of early warning coverage<\/td><td data-label=\"Licence class\">Public, UN terms of use<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P03\/topics\/early-warning-readiness\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Disaster Resilience and Recovery prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">National disaster management authorities<\/td><td data-label=\"The question\">Which links in the warning chain need strengthening first<\/td><td data-label=\"Evidence this page serves\">Warning chain reviews; readiness assessments<\/td><\/tr><tr><td data-label=\"Who decides\">Local governments and civil protection<\/td><td data-label=\"The question\">How evacuation, shelters and transport are organized for warned communities<\/td><td data-label=\"Evidence this page serves\">Evacuation plan coverage; post-event surveys<\/td><\/tr><tr><td data-label=\"Who decides\">National meteorological and hydrological services<\/td><td data-label=\"The question\">How warning content and format should change<\/td><td data-label=\"Evidence this page serves\">Survey evidence on understanding and action<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Warning chain reviews from detection to household action<\/li><li>Readiness assessments against the Early Warnings for All pillars<\/li><li>Post-event survey designs and analyses<\/li><li>Message design guidance for clear, accessible warnings<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"stack\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">What experts ask.<\/h2><p class=\"nx-lede\">Warning researchers ask what happens between a forecast and a protective action.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Who receives warnings, through which channels, and who is missed?<\/li><li>Do people understand the warning, believe it applies to them and know what to do?<\/li><li>How do false alarms and missed events affect trust and future response?<\/li><li>How are warnings coordinated across agencies, hazards and borders?<\/li><li>What prevents people from acting, even when they understand the risk?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms-and-drivers\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms and drivers<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">The chain from forecast to action.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Warning is a chain, and it breaks at its weakest link. Forecasts may be skilful but issued in technical terms; messages may be clear but sent through channels that some groups do not use; people may receive and understand them but lack transport, a safe place to go or the means to protect livelihoods. Social research shows that people typically seek confirmation from others before acting, and that trust in the source, past experience and the specificity of the message all shape response.<\/p><p class=\"nx-p\">The last mile is where warnings most often fail: remote communities, people with disabilities, migrants who do not speak the language of the warning, and those without phones or power. Impact-based warnings, which describe what a hazard will do rather than only its physical parameters, and messages that state specific actions, generally improve response.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"split\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and data<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">How the evidence is built, and where it stops.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Forecast verification<\/h3><p class=\"nx-p nx-mt-1\">Measuring forecast skill with <a class=\"nx-link\" href=\"https:\/\/therisk.global\/disaster-resilience\/stem\/forecasting\/\">forecasting and time-series analysis<\/a>. Skill on hazard does not measure warning effectiveness.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Warning response research<\/h3><p class=\"nx-p nx-mt-1\">Surveys and interviews on how people received and acted on warnings, with <a class=\"nx-link\" href=\"https:\/\/therisk.global\/disaster-resilience\/stem\/social-science\/\">social and behavioural science<\/a>. Recall after events is imperfect.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Coverage analysis<\/h3><p class=\"nx-p nx-mt-1\">Mapping channel reach against population with <a class=\"nx-link\" href=\"https:\/\/therisk.global\/disaster-resilience\/stem\/geospatial\/\">geospatial information systems<\/a>. Reach is not the same as reception or understanding.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Post-event review<\/h3><p class=\"nx-p nx-mt-1\">Tracing the warning chain in a real event. Reviews are often internal and unpublished.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/disaster-resilience\/stem\/forecasting\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Forecasting and time-series analysis<\/span><span class=\"nx-mledger-role\">Trigger verification \u00b7 Flood forecast lead time \u00b7 Seasonal outlooks for drought preparedness<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/forecasting\/\" aria-label=\"Forecasting and time-series analysis: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/disaster-resilience\/stem\/social-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Social and behavioural science<\/span><span class=\"nx-mledger-role\">Warning response surveys \u00b7 Participatory risk assessment \u00b7 Social vulnerability analysis<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/social-science\/\" aria-label=\"Social and behavioural science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/disaster-resilience\/stem\/geospatial\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Geospatial information systems<\/span><span class=\"nx-mledger-role\">Exposure mapping \u00b7 Rapid damage assessment \u00b7 Common operational data<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/geospatial\/\" aria-label=\"Geospatial information systems: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/disaster-resilience\/stem\/decision-analysis\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Decision analysis under uncertainty<\/span><span class=\"nx-mledger-role\">Cost-benefit of risk reduction \u00b7 Acting on forecasts \u00b7 Recovery prioritisation<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/decision-analysis\/\" aria-label=\"Decision analysis under uncertainty: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Coverage indicators count systems and plans, and do not show whether a given person received or acted on a warning. Post-event surveys are small, retrospective and subject to recall bias. Readiness varies within countries, and national figures hide local gaps. Disaster Resilience and Recovery issues no warnings and is not an emergency service; authorised national bodies issue warnings.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-14-sec\" class=\"nx-section\" data-hue=\"systemic\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What are the four pillars of early warning?<\/summary><div class=\"nx-answer\">Disaster risk knowledge; detection, observation, monitoring, analysis and forecasting; warning dissemination and communication; and preparedness and response capabilities, as used by the Early Warnings for All initiative.<\/div><\/details><details><summary>Why do people ignore warnings?<\/summary><div class=\"nx-answer\">Common reasons include unclear messages, distrust after false alarms, lack of transport or a safe destination, concern for property and not believing the hazard will affect them.<\/div><\/details><details><summary>What is a people-centred early warning system?<\/summary><div class=\"nx-answer\">A system designed around the needs, knowledge and capacities of the people at risk, so that warnings reach them and they can act.<\/div><\/details><details><summary>Does the platform issue warnings?<\/summary><div class=\"nx-answer\">No. Warnings are issued by the competent national and local authorities. The platform studies how warning systems perform and publishes evidence on what makes them effective.<\/div><\/details><details><summary>Why do accurate warnings sometimes fail?<\/summary><div class=\"nx-answer\">Because accuracy is only the first link. Warnings must reach people, be understood and trusted, and people must have the means to act. Any break in that chain can undo a good forecast.<\/div><\/details><details><summary>Do false alarms reduce trust?<\/summary><div class=\"nx-answer\">Evidence is mixed. Clear communication about uncertainty and the reasons for a warning can limit loss of trust, while unexplained false alarms tend to erode it.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-15\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-15\" class=\"nx-h3 nx-mt-2\">Around Disaster Resilience and Recovery.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/disaster-resilience\/topics\/risk-reduction-policy\/\">Risk reduction policy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/disaster-resilience\/topics\/preparedness-and-continuity\/\">Preparedness and continuity <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/disaster-resilience\/topics\/anticipatory-action\/\">Anticipatory action <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/disaster-resilience\/topics\/recovery-and-reconstruction\/\">Recovery and reconstruction <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/disaster-resilience\/topics\/disaster-loss-accounting\/\">Disaster loss accounting <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/disaster-resilience\/topics\/community-and-local-preparedness\/\">Community and local preparedness <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/disaster-resilience\/\">Disaster Resilience and Recovery home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/disaster-resilience\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Disaster Resilience and Recovery<\/span><h2 id=\"nx-close-16\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Disaster%20Resilience%20and%20Recovery%3A%20Early%20warning%20readiness\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/disaster-resilience\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/disaster-resilience\/topics\/early-warning-readiness\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/disaster-resilience\/topics\/early-warning-readiness\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What are the four pillars of early warning?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Disaster risk knowledge; detection, observation, monitoring, analysis and forecasting; warning dissemination and communication; and preparedness and response capabilities, as used by the Early Warnings for All initiative.\"}},{\"@type\":\"Question\",\"name\":\"Why do people ignore warnings?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Common reasons include unclear messages, distrust after false alarms, lack of transport or a safe destination, concern for property and not believing the hazard will affect them.\"}},{\"@type\":\"Question\",\"name\":\"What is a people-centred early warning system?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"A system designed around the needs, knowledge and capacities of the people at risk, so that warnings reach them and they can act.\"}},{\"@type\":\"Question\",\"name\":\"Does the platform issue warnings?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. Warnings are issued by the competent national and local authorities. The platform studies how warning systems perform and publishes evidence on what makes them effective.\"}},{\"@type\":\"Question\",\"name\":\"Why do accurate warnings sometimes fail?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because accuracy is only the first link. Warnings must reach people, be understood and trusted, and people must have the means to act. Any break in that chain can undo a good forecast.\"}},{\"@type\":\"Question\",\"name\":\"Do false alarms reduce trust?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Evidence is mixed. Clear communication about uncertainty and the reasons for a warning can limit loss of trust, while unexplained false alarms tend to erode it.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/therisk.global\/disaster-resilience\/topics\/early-warning-readiness\/#terms\",\"name\":\"Key terms: Early warning readiness\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/disaster-resilience\/topics\/early-warning-readiness\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Early warning system\",\"description\":\"An integrated system of hazard monitoring, forecasting, risk assessment, communication and preparedness that enables timely action.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/disaster-resilience\/topics\/early-warning-readiness\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Last mile\",\"description\":\"The final step in which warnings reach the people at risk.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/disaster-resilience\/topics\/early-warning-readiness\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Evacuation plan\",\"description\":\"A plan setting routes, transport, shelters and responsibilities for moving people out of danger.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/disaster-resilience\/topics\/early-warning-readiness\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:37f2388e7c2e4f77 -->\n<!-- nx-path:\/topics\/early-warning-readiness\/ -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto G-P03 \u00b7 TOPIC \u00b7 early-warning-readinessGCRI dossier \u00b7 service level R0 GCRI\u00b7Disaster Resilience and Recovery\u00b7In development Topic dossier \u00b7 Disaster Resilience and Recovery Early warning readiness An early warning system &hellip; <a href=\"https:\/\/therisk.global\/disaster-resilience\/topics\/early-warning-readiness\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Early warning readiness&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":52,"menu_order":752,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_buddyx_sub_header_visibility":"","_buddyx_sub_header_title_visibility":"","_hide_show_side_panel":"","_buddyxpro_page_sidebar":"","_buddyxpro_page_disable_header":"","_buddyxpro_page_disable_footer":"","_buddyxpro_page_content_width":"","_buddyxpro_page_header_style":"","_buddyxpro_page_color_mode":"","_buddyxpro_page_loader":"","footnotes":""},"class_list":["post-76","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/therisk.global\/disaster-resilience\/wp-json\/wp\/v2\/pages\/76","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/therisk.global\/disaster-resilience\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/therisk.global\/disaster-resilience\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/therisk.global\/disaster-resilience\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/therisk.global\/disaster-resilience\/wp-json\/wp\/v2\/comments?post=76"}],"version-history":[{"count":1,"href":"https:\/\/therisk.global\/disaster-resilience\/wp-json\/wp\/v2\/pages\/76\/revisions"}],"predecessor-version":[{"id":126,"href":"https:\/\/therisk.global\/disaster-resilience\/wp-json\/wp\/v2\/pages\/76\/revisions\/126"}],"up":[{"embeddable":true,"href":"https:\/\/therisk.global\/disaster-resilience\/wp-json\/wp\/v2\/pages\/52"}],"wp:attachment":[{"href":"https:\/\/therisk.global\/disaster-resilience\/wp-json\/wp\/v2\/media?parent=76"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}