{"id":2394,"date":"2026-10-14T21:46:23","date_gmt":"2026-10-14T21:46:23","guid":{"rendered":"https:\/\/therisk.global\/nexus-reports\/?page_id=2394"},"modified":"2026-10-14T21:46:23","modified_gmt":"2026-10-14T21:46:23","slug":"scenarios-and-methods","status":"publish","type":"page","link":"https:\/\/therisk.global\/nexus-reports\/topics\/scenarios-and-methods\/","title":{"rendered":"Scenarios and methods"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/nexus-reports\/topics\/scenarios-and-methods\/ \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=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-map-engine\" data-nx-run=\"map\">pTr7c5s4t\/9KwuxMJRtkcJrOXhM1k6aP7TbZdptu9+Hx7RAQNgsGVxxsqOv\/\/ZsjAcaOnd373f7QIOnovHSekklYpD5EWUroOgrJKkqDbMW+fEnLW29B11JAIdPN0pMnL3i9OPfAn92KIPIuH8wQgyykCIXMLSmCwheBNc8Q\/ehEj6lBNbjIRyAL4SJqgAa3FF8LkcNVGs093PZaenNx2fKYNRydPAZPMroZHdiTC\/gUzUVWAMlM5xnduA3QSQwIh7xE\/NaDGVtkK+LYpvoOkyyTRH0m2ZRkdKC+b35xbErdKCTnveiCb+mc96JNFJLh7uywF23qz2jTEp4qwlFIskbpH4UXVDuaj3jGvhZCVnciET5kkhgsLa0wtubewsrBmwqDKkUueXQZ7cPmy6lBR2mRJArmni8vlw\/wFZY\/t1aZTIIGNgrJ6X3Lxy57vD261\/CQuTCaFlJoFg36\/XumIAXwJVtGYvUiK9m9l4vPXmK+4gLYKgpgZn7Gz5mIpjNQ8AlflyPbrEa2GY+cjentjhWMBH5\/WJQijSCvtbLiR+TNfS9pVHcFfHW58GQuXieZB2TFpgKuAGR0X4AgRuCBZ8XzwqB0ZKsdb\/ZpXyUJMfxI+okYK3A5qZG\/PgiqmUi8+xrqHjjJDpENM7\/IUZOGQVm+SCIgxvd600889JJcmLegP7Y2vQKiTRoVPxVw50sh0utPt4S6tSHCJYzW3ihifhKJFH7Hgxi8MsXINsORbUbpUshcKHvYbG32N9IatTMgSIZ53787dAuxIGAKTVw+JI6WJRsUY9u0J8rMU75kvhQeiLvPbz5kUQqEuikrObgpq7i2t4KnGD9kVH6SXpqHmZwTyWpGCW0kGxesNAtWTbY8fWm1ESFDL7IiDaJ0eq0k\/yh8pKbslC8IsESEYAKDbEFNqWYkWqYJ7D4DyOYtIRUK5l5JbFOM7Qk1dyacdiJKyStTdiCilHw2JUJ0mPSAAF0Di3mLxtnCO09NYDGlLrCSt7P2luQr61UPWGwCKxVUdRDqs\/W5hqro1hS2THwjdH3P8h07hEbbhqm\/Ew+n+wkrGWSvo1IEZEj7xglOVTtT9ET5mQKO25WnuGIoY0hY\/NxhtkPX0R5VZf3fsmwuAkW3EAbdiCQX64hJMc+W4ggw3eij\/o1QU3AYDAcJi90wk0TbpO3KizcsEekUZq7s9+n6zVhO9qhLwySdiKAgDninNCjtCdqRmW4aSim33fTidUMpRUqvx+mE5VAlgoVZCnfRN8FJCgTnaQ+QU7qjwEVpuJ1NOcgsFspXORmyZ0e2dBw2VValjRv2RPATL8dAqc1g0ISkZMBA5EAEvXRsdj5qF+adBWc7He\/BO8Mt+U+t5+nj+FJ7muTjiatS34Hs5mNuSzLfoCo9kp0Y9f27TZ+fP7PpWrJFkc\/IGH1P+Zvywr5zbvdAjfs\/Pu3BhG4wI68ewJ9NrLOnChI3\/Y\/edDaZ0M0WcDixzoc1NhOHGq8ztBGxq495nz9HnNGL82d2a3MFt91iawkFWgLOh\/z1uJgoLDlPgYQa45ynlz+OnulM4\/PwQPoAUUKdBEquAW95yGZevm+hWRjWgNf7mDSaMf5neak\/yyR\/Mo+CIBFPJgY95VzVAo0QN9x2by78RoibRogr7o9vtBC\/8o7LXO0ZW4mukrAYw4bpw2Og1Ra00rUNcHLFkNHrLAWRQs1FL++x82f9p7QHZgU87zls2NMlxAz49eWv1hIGw9Gvaibm4xmYPlgV9NiP5gz6Sxz2cTjUArzkt5cqk47isT15zpVpDHtwGY+Hkwuu7EEPHbXqNKtnavVMrY40hs7\/aOgvlSmXz\/mcrl\/qdK3s8iVdNxr+i9vuXxey0fBfjYb\/4HL8l\/IW5Orij\/FwopAhU8\/\/wLSiRw6unTWjM1xzJi01914KL96of5pubeYxdct+3706GH8N03CauHsUwjbopnEyZHgB\/EoFJm3OwGMgC+gpr9G2+AOfw2ChT6oEvjpg4gsPZgY1P+4v7hj\/W31EDvrxe30C6vt3\/rQHbgljez+wYzK5Nfpv25Dp6Mz1fmdiZvR\/6ExQROX8W1TkvfU73ZlcGn0y7O1N3hp98rb\/A\/2vtlP34x43pWEiuv6zHjwOWBkmed9\/egBsLy9hMN+F0vno49FkdAi247V8jlXVTYYlwR3IKJ0SQ6TWmxcGSh7Pu3kr2lawqnjx7nPisdJKWEn7nZnKSli1MxNbmBJ7r9BhXlxi4TCCC3ZO1wkrucdKN2EV91jlJizmHovdb4S6nwh163La7bRfgrOhm7Cyz1viPYEI1ISmrSZiNVGTFgolAImgUxjfEbr2gHi6CP6Jrn\/SrVQNtwXMtqJ\/aev1MUFj7gM6\/2BoErTHPqC7D4adIvIrVt+m1PvTY5Wkx+KepLSpqgeoBQ+rbYuA5aGQheth3W0RYXkoI45jnrp3pCNRAZqamWp6BfJrhrzAOFlgls15gT5ZjJ1Jndpajoa2KS2gpr8zlVqiSWtHeG+\/wwGZ9xx2Rs18QHz1RWuZbvmYIP1+0agLOegXtbqULKWS+HZsTywCfUkHw16phL4dOxOLiH6qp3Yk\/gXPcK8ZRQCVcfh6Y1YqaZqB\/jOtG7Q\/uWp1zL+57UbMC4JXS5HCTZSDSIUkxgI7HiGDbJUaZnt7AXR9C9pGZmNgNdDbYKJ6El1y\/GE2X382Lcz7+7+FDywWVU5mythEnVI458OmM5upMmhipurLmUzcgK+DkdLurFpkQLBhsVI8RexUrFQ1NPHIY7FZjjxWmtXIY5U5H40VaB9Bla4RvK\/A0TRdrZLGq6KQtKJ8qhaCc25AVvgzQ+Utj8UXXDcE9YZNxdeL0WGJu4xs3Frbbq1t92\/+0gPB0mxF6IY+pnjsJnYVH4VkV+d0\/a\/OAOULmnr7vz0J7Uv\/cBSuriCPeEnA4l4x6CwGLGi8I+fhIFAeH\/NQeUHA5soP6r8BRoBcOQPOOPWKgysVrqDJb8\/zdPfKav6YefpcUajYAqUpucKKI0cVOKdTpfo2mvudyF7S5896vxFK11PtFAc7xkB607ZfdEFWurH8oA\/u2ltAIQXpnCTd+HgnSX5t8OpSZqqP57ZjQ+b1jratv7VIN7xiZd83r3jFqn6J5kduVBQdXJvkSsXPwTWa461S9o1S7JWrc8F+UsLMUbHFMR1WNXilwTcbur30SVSrF4hEgDjZtVZXm2UUkl2brM3xYkjXOmRhIjx8tLUbH2u+ld6VjesjPH1B1x4mzj\/H9qTnPLVRahw5arS505dBL+gaKW42j3hnsTDMBB51YN9LfZEcB\/OTyI8fePgUr1tyyBYfZLbwpp6+C2\/iyGZjojkcRriaCaS3h\/AUDw1k8k5UdeHB5gK8d6KirR6BLaRAZC9F6BXJ7tXTgRP\/Srb9LbBAJOD9eWFfOuzsfOQM8A\/dmOuFl+fRsu43jgS74D45oIf\/Hz\/5LAoBxXUGw9HwWJiNRfUwt6lMAJ6cCjjlPNqJIXhXEYvKlJx8IRTLCfxjT2iPOcO67cYyScVUTCFXUmarGxGCUZudVD3Lyc76R7zG0wDWQYDfFmq1Orz9JYqg1h\/s7hv6vNWAG3T9lahwjZHadNg5Xsg9UHMt7w4iq4voyz6iwf8Fld1F9VM2FwZd\/0L+afsjZnqn0qhKOw9u\/lXLpm++9dtEEeEFeNPa\/sxt9+eLsOnb3Z+xtw1h\/POEzaIgEGntcm0sy7c18KOUIJtOE9ElJbjtiouWkmi6aMlhLPYv8TwZedZCijzHi8NTzg3Fh2Gmh6B3iRrULI5CLXUsTFH3iVcJmRvNnc+h54CpFkhB8idGv+gbT7pC5dx284uwESpHoaKQSLoOx\/nkSEhWVz\/6UBXUgWyJIO3lqsp7imM\/yY2GQHYcu2X0i5pAdgQ7gnQIYKzP\/l18bsKAjhDMT7Jc5HDZTGwfqsRO5JBcNLAdM\/F8mOgTaVsjeeRwPR\/UyTbhRSkEr5atKFX+qBqbQjv2M9r63BYuK2AfcHAEVIpcgPbLJuseFmBr51oGFLzzYPs6muJ9Tn7cuE35qOnz1vQv9WmN6iHddJ5OczDtNlocZjQXwJ+oR6snj3OrneFR597D9ZgzHDDwXfERgHMuH4jX1Kx4Hfk2BSKPuLPp2NisknsYzyc7z3En6l170XkvUHLPOee2DsHNrenFU33UymUKID5aiI8W4uPdso\/96UE7ANkqJRbV\/\/InQbQcdRQcHOFbwxuUYqGY\/dvMvOt6rkrUsajQRl5htWXUl6RqFoPmidH6oGpy6lf+y\/brEQl0yaJEEP8oQpsfgs6zhoRLCfuXhF1qGFFBR9THwga+DL7ISkLdAtVZmpJVpmRlX9bP1JJVfVm\/U6tOr7bpjyKPvon397mQSyHpOhWrk9050vmpRX3dtKEs06skohucxJznHgykfv3YD8IwDYmv8EbnUuJd\/TOC0+zxnw7oh+f6fUXrJy0xV\/MnPpQ7LrbER4WLqHGxJboY9lJTINF4OWl6pnu6xuE\/shx6SXLv+bHKAS3fHwhdvyNB5hdzkdYXwxlvxod5F9Ysy6HDaYRXKhdZw2lUZ8ZsHE1YPvOCbPUxywAJ7U9tNpvdn7zw7u9G3pHs+\/eWt41qoBrO1AncoWwqvWcePiYbdN0CPPSzl+9v60vQm8wLMCB9qMNAJ7x+MG3a8PQQBdJR2yih7n8A<\/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\">(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-g11-topics-scenarios-and-methods\"><div class=\"nxe\" id=\"nxe-n3yaxwe9\" data-inst=\"gcri\" data-theme=\"light\" data-grammar=\"atlas\" data-domain=\"project\" data-arche=\"topic\" data-density=\"airy\" lang=\"en\" data-nx-css=\"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\"><style>#nxe-n3yaxwe9.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-n3yaxwe9.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n3yaxwe9.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n3yaxwe9.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n3yaxwe9.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n3yaxwe9.nxe :where(ul,ol){padding-left:20px}#nxe-n3yaxwe9.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n3yaxwe9.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n3yaxwe9.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n3yaxwe9.nxe svg{display:none}#nxe-n3yaxwe9.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n3yaxwe9.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n3yaxwe9.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>G11 \u00b7 TOPIC \u00b7 scenarios-and-methods<\/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\">Nexus Reports<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Established<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Nexus Reports<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Scenarios and methods<\/h1><p class=\"nx-tagline\">Scenarios and methods reports set out the analytical machinery behind the series: scenario frameworks, models, statistical methods and the assumptions that drive them. A scenario is a coherent account of a possible future, not a prediction, and its value depends on whether readers can see and test what went into it. This page sets out how analytical studies are documented, reviewed and reproduced, and how their uncertainty is stated.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/nexus-reports\/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\/nexus-reports\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-stage\" data-lv-fill=\"map\" data-lv-id=\"world\"><div class=\"nx-map nx-cmap\" data-nx-map=\"ctx\" data-cmap=\"japan-korea:risk\" data-ramp=\"red\" data-basis=\"case\" data-focus=\"0 0 2000 1400|579 101 1615 1219|358 642 746 1056\"><figure class=\"nx-fk\" data-fk=\"map-japan-korea-risk\" data-ramp=\"red\" data-nx-z=\"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\"><figcaption class=\"nx-fk-cap\"><span>Where people and networks concentrate, the exposure through which shocks travel between systems.<\/span><span data-honesty=\"true\">Indicator derived from Natural Earth at map scale; a screening view, not an assessment.<\/span><\/figcaption><\/figure><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G11\/topics\/scenarios-and-methods\/#map\" data-nxf-title=\"Nexus Reports live map\" data-nxf-height=\"560\" hidden><\/div><div class=\"nx-map-hud\"><span class=\"nx-eyebrow\">GCRI \u00b7 Nexus Reports \u00b7 field<\/span><span class=\"nx-eyebrow nx-map-hud-right\">DESIGN FIGURE<\/span><\/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>Series production desk, in outline<\/a><a href=\"#nx-sec-question\"><span>03<\/span>Scenarios and methods: how the risk\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=\"project\" 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\">Scenario analysis is the study of coherent, plausible accounts of how the future might unfold under stated assumptions, used to explore risk rather than predict it. Its value depends on whether readers can see and test what went into each scenario, through assumptions registers, archived code and data, cited model versions and sensitivity analysis.<\/p><\/div><\/div><\/section><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"project\" 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\">Series production desk, 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-reports-series\" data-cx=\"reports.series\" data-variant=\"section\" aria-label=\"Series production desk: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Series production desk<\/h3><p class=\"nx-fk-sub\">Scenarios and methods \u00b7 Annual synthesis \u00b7 Edition 9<\/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=\"near\"><i aria-hidden=\"true\"><\/i>Data check behind plan<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Nexus Reports<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Editions in production<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-reports-series-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-reports-series-t0\" aria-label=\"Editions in production\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Edition<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Series<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Stage<\/button><\/th><th scope=\"col\" data-col=\"c3\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Values traced (%)<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Due<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-reports-series:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\" aria-current=\"true\" data-cur=\"true\"><td>Annual synthesis<\/td><td>Global<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Data check<\/span><\/td><td data-num=\"true\" data-sv=\"75\">75<\/td><td>W13<\/td><\/tr><tr data-fk-key=\"cx-reports-series:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Country profile 7<\/td><td>Country<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Peer review<\/span><\/td><td data-num=\"true\" data-sv=\"99\">99<\/td><td>W32<\/td><\/tr><tr data-fk-key=\"cx-reports-series:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Water outlook<\/td><td>Sectoral<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Drafting<\/span><\/td><td data-num=\"true\" data-sv=\"50\">50<\/td><td>W15<\/td><\/tr><tr data-fk-key=\"cx-reports-series:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Methods note 4<\/td><td>Methods<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Released<\/span><\/td><td data-num=\"true\">100<\/td><td>done<\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"bullets\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Data check, annual synthesis<\/h4><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 98\" width=\"460\" height=\"98\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Data check, annual synthesis\" data-fk-chart=\"bars\"><g data-m=\"row\" data-k=\"r-b0\"><text data-m=\"rlabel\" x=\"124\" y=\"19\" text-anchor=\"end\">Values traced<\/text><rect data-m=\"bar\" data-k=\"b-b0\" data-c=\"neg\" x=\"132\" y=\"4\" width=\"182.4\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b0\" x=\"320.4\" y=\"19\">88 pct \u00b7 req 100<\/text><rect data-m=\"hit\" x=\"0\" y=\"0\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b1\"><text data-m=\"rlabel\" x=\"124\" y=\"49\" text-anchor=\"end\">Labels attached<\/text><rect data-m=\"bar\" data-k=\"b-b1\" data-c=\"neg\" x=\"132\" y=\"34\" width=\"181.8\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b1\" x=\"319.8\" y=\"49\">87 pct \u00b7 req 100<\/text><rect data-m=\"hit\" x=\"0\" y=\"30\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b2\"><text data-m=\"rlabel\" x=\"124\" y=\"79\" text-anchor=\"end\">Uncertainty stated<\/text><rect data-m=\"bar\" data-k=\"b-b2\" data-c=\"neg\" x=\"132\" y=\"64\" width=\"187\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b2\" x=\"325\" y=\"79\">90 pct \u00b7 req 100<\/text><rect data-m=\"hit\" x=\"0\" y=\"60\" width=\"460\" height=\"30\"\/><\/g><\/svg><\/div><\/div><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\">Edition pipeline<\/h4><\/div><\/div><ol class=\"nx-cx-steps\" data-n=\"7\"><li data-st=\"done\"><span class=\"nx-cx-sn\">Outline<\/span><span class=\"nx-cx-snote\">board<\/span><\/li><li data-st=\"done\"><span class=\"nx-cx-sn\">Draft<\/span><span class=\"nx-cx-snote\">authors<\/span><\/li><li data-st=\"now\"><span class=\"nx-cx-sn\">Data check<\/span><span class=\"nx-cx-snote\">every value<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Peer review<\/span><span class=\"nx-cx-snote\">two rounds<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Editorial<\/span><span class=\"nx-cx-snote\">decision<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Release<\/span><span class=\"nx-cx-snote\">DOI<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Corrections<\/span><span class=\"nx-cx-snote\">versioned<\/span><\/li><\/ol><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Series production desk: the screen's structure, terms and states for Scenarios and methods.<\/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=\"project\" data-variant=\"inset\" 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\">Scenarios and methods: how the risk develops.<\/h2><p class=\"nx-lede\">Transparent analytical studies. 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=\"M14 2v4a2 2 0 0 0 2 2h4\"\/><path d=\"M4.268 21a2 2 0 0 0 1.727 1H18a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v3\"\/><path d=\"m9 18-1.5-1.5\"\/><circle cx=\"5\" cy=\"14\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Hidden assumptions<\/h3><p class=\"nx-p nx-mt-1\">Discount rates, baselines, elasticities and exposure data can drive results more than the model does. When assumptions sit in code rather than in the text, reviewers cannot test what matters most.<\/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\">Scenarios read as forecasts<\/h3><p class=\"nx-p nx-mt-1\">Illustrative pathways are quoted as expected outcomes, and a middle scenario is read as most likely. Without stated purpose and plausibility, scenario results become false predictions in decision documents.<\/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=\"18\" cy=\"18\" r=\"3\"\/><circle cx=\"6\" cy=\"6\" r=\"3\"\/><path d=\"M6 21V9a9 9 0 0 0 9 9\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Model lineage<\/h3><p class=\"nx-p nx-mt-1\">Models are reused and extended across studies, so an error in a shared component or dataset propagates into every study built on it. Version identifiers make that lineage traceable.<\/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=\"12\" cy=\"12\" r=\"3\"\/><circle cx=\"19\" cy=\"5\" r=\"2\"\/><circle cx=\"5\" cy=\"19\" r=\"2\"\/><path d=\"M10.4 21.9a10 10 0 0 0 9.941-15.416\"\/><path d=\"M13.5 2.1a10 10 0 0 0-9.841 15.416\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Reproduction is rarely tried<\/h3><p class=\"nx-p nx-mt-1\">Code and data may be available yet never rerun by anyone else. Without independent reproduction, errors in implementation can persist through review and into the reports that cite the results.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" 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\">Scenario<\/td><td data-label=\"Definition\">A coherent and plausible description of a possible future under stated assumptions, not a forecast.<\/td><\/tr><tr><td data-label=\"Term\">Shared Socioeconomic Pathways<\/td><td data-label=\"Definition\">Five narratives of global socioeconomic development used in climate research, held in the IIASA SSP database.<\/td><\/tr><tr><td data-label=\"Term\">Assumptions register<\/td><td data-label=\"Definition\">A list of every assumption a study makes, with its source and the sensitivity of results to it.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"project\" 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\">Studies with archived code and data<\/td><td data-label=\"Unit\">percent of studies<\/td><td data-label=\"Cadence\">per version<\/td><td data-label=\"Source type\">Repository deposit records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Assumptions documented in an assumptions register<\/td><td data-label=\"Unit\">percent of key parameters<\/td><td data-label=\"Cadence\">per study<\/td><td data-label=\"Source type\">Editorial audit<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Independent reproduction status<\/td><td data-label=\"Unit\">category: not attempted, partial, full<\/td><td data-label=\"Cadence\">per study<\/td><td data-label=\"Source type\">Reproduction record<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Sensitivity analyses reported for key parameters<\/td><td data-label=\"Unit\">percent of key parameters<\/td><td data-label=\"Cadence\">per study<\/td><td data-label=\"Source type\">Editorial audit<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Model and dataset versions cited with identifiers<\/td><td data-label=\"Unit\">percent of model and data citations<\/td><td data-label=\"Cadence\">per version<\/td><td data-label=\"Source type\">Reference metadata<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Statistical or methods review completed<\/td><td data-label=\"Unit\">yes or no, with reviewer role<\/td><td data-label=\"Cadence\">per study<\/td><td data-label=\"Source type\">Review record<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G11\/topics\/scenarios-and-methods\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"project\" 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 Scenarios and methods 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-g11-topics-scenarios-and-methods-ngfs-t nx-dag-g11-topics-scenarios-and-methods-ngfs-d\" data-nx-z=\"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\"><title id=\"nx-dag-g11-topics-scenarios-and-methods-ngfs-t\">Scenarios and methods: climate scenario analysis pipeline<\/title><desc id=\"nx-dag-g11-topics-scenarios-and-methods-ngfs-d\">Orderly, disorderly and hot house scenarios supply pathways for carbon prices and macro variables; transition and physical channels change sector and asset outcomes; credit parameters and portfolio losses follow, and results are disclosed with their limits. 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=\"project\" data-variant=\"inset\" 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\">AR6 Scenarios Database (IAMC and IIASA)<\/td><td data-label=\"What it gives\">Integrated assessment scenarios assessed by the IPCC with metadata<\/td><td data-label=\"Licence class\">Free with registration, terms per IIASA<\/td><\/tr><tr><td data-label=\"Source\">SSP Database (IIASA)<\/td><td data-label=\"What it gives\">Shared Socioeconomic Pathway projections of population, economy and emissions<\/td><td data-label=\"Licence class\">Free with registration, terms per IIASA<\/td><\/tr><tr><td data-label=\"Source\">NGFS climate scenarios<\/td><td data-label=\"What it gives\">Climate-related financial scenarios with documentation<\/td><td data-label=\"Licence class\">Free to use, terms per NGFS<\/td><\/tr><tr><td data-label=\"Source\">Zenodo<\/td><td data-label=\"What it gives\">Archived code, data and model versions with DOIs<\/td><td data-label=\"Licence class\">Metadata CC0, licence per record<\/td><\/tr><tr><td data-label=\"Source\">Software Heritage<\/td><td data-label=\"What it gives\">Archived source code with intrinsic identifiers<\/td><td data-label=\"Licence class\">Code under its own licence<\/td><\/tr><tr><td data-label=\"Source\">OSF Registries<\/td><td data-label=\"What it gives\">Pre-registered analysis plans and study protocols<\/td><td data-label=\"Licence class\">Metadata CC0, licence per registration<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G11\/topics\/scenarios-and-methods\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"project\" 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\">Nexus Reports 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\">Central banks and financial supervisors<\/td><td data-label=\"The question\">Which scenario sets are fit for climate and systemic stress testing<\/td><td data-label=\"Evidence this page serves\">Scenario documentation, assumptions and sensitivity of results<\/td><\/tr><tr><td data-label=\"Who decides\">Planning and environment ministries<\/td><td data-label=\"The question\">How to use scenario results in national plans without reading them as forecasts<\/td><td data-label=\"Evidence this page serves\">Stated scenario purpose and the range across scenarios<\/td><\/tr><tr><td data-label=\"Who decides\">Statistical and methods review panels<\/td><td data-label=\"The question\">Whether a method is adequately documented and reproducible<\/td><td data-label=\"Evidence this page serves\">Assumptions registers, archived code and reproduction records<\/td><\/tr><tr><td data-label=\"Who decides\">Research funders<\/td><td data-label=\"The question\">Whether to require code, data and reproduction for funded analytical work<\/td><td data-label=\"Evidence this page serves\">Archive and reproduction indicators across studies<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Method reports with assumptions registers and sensitivity analyses<\/li><li>Archived code and data with persistent identifiers<\/li><li>Scenario descriptions stating purpose, framing and plausibility<\/li><li>Reproduction records from independent reruns<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"project\" 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 the series asks.<\/h2><p class=\"nx-lede\">Findings are only as reliable as the methods behind them. Scenario studies and stress tests are powerful tools for exploring plausible futures and testing resilience, but they are easily misread as predictions or as verdicts on institutions. Publishing methods in full, with their assumptions and validation, lets readers judge what a result means and lets other researchers reproduce or challenge it.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Which assumptions drive a scenario's results, and how sensitive are the conclusions to them?<\/li><li>Has the model been validated against historical events or independent data, and with what result?<\/li><li>How are uncertainties combined and communicated, including deep uncertainty that cannot be quantified?<\/li><li>Can another team reproduce the result from the published data and code?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-scope\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" 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\">Scope<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">What the series covers.<\/h2><p class=\"nx-lede\">Two series publish analysis and the methods behind it.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"3\"><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=\"12\" cy=\"12\" r=\"10\"\/><polygon points=\"16.24 7.76 14.12 14.12 7.76 16.24 9.88 9.88 16.24 7.76\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Scenarios<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Plausible futures<\/h3><p class=\"nx-p nx-mt-1\">Narrative and quantitative scenarios that explore how systems could evolve under stated assumptions.<\/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=\"M22 12h-2.48a2 2 0 0 0-1.93 1.46l-2.35 8.36a.25.25 0 0 1-.48 0L9.24 2.18a.25.25 0 0 0-.48 0l-2.35 8.36A2 2 0 0 1 4.49 12H2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Stress tests<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Severe but plausible shocks<\/h3><p class=\"nx-p nx-mt-1\">Tests of how systems respond to defined shocks; they describe systems, not the soundness of any firm.<\/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\"><rect width=\"8\" height=\"8\" x=\"3\" y=\"3\" rx=\"2\"\/><path d=\"M7 11v4a2 2 0 0 0 2 2h4\"\/><rect width=\"8\" height=\"8\" x=\"13\" y=\"13\" rx=\"2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Technical notes<\/h3><p class=\"nx-p nx-mt-1\">Model documentation, data pipelines and validation reports for reuse and review.<\/p><\/div><\/div><p class=\"nx-p\">Good scenario practice distinguishes between exploratory scenarios, which map a range of plausible futures, and stress scenarios, which test a system against a severe but plausible shock. Both are useful, and both are misused when a single path is presented as the expected outcome. Editions therefore present sets of scenarios with their driving assumptions and show where results diverge.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-evidence\" class=\"nx-section\" data-hue=\"project\" data-variant=\"inset\" 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 evidence<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">How editions are built, and their limits.<\/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\">Model documentation<\/h3><p class=\"nx-p nx-mt-1\">Purpose, structure, inputs, assumptions and known limits, published alongside results.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Validation<\/h3><p class=\"nx-p nx-mt-1\">Back-testing, comparison with independent data and sensitivity analysis, using <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/uncertainty-quantification\/\">uncertainty quantification and model validation<\/a>.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Reproducibility<\/h3><p class=\"nx-p nx-mt-1\">Data and code released where rights permit, with pipelines documented under <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/technology\/data-engineering\/\">data engineering, interoperability and stewardship<\/a>.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Communication<\/h3><p class=\"nx-p nx-mt-1\">Results labelled Scenario, Modelled or Forecast, with ranges rather than single numbers where uncertainty is material.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"project\" 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\/nexus-reports\/stem\/uncertainty-quantification\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Uncertainty quantification and model validation<\/span><span class=\"nx-mledger-role\">Calibrated language in assessments \u00b7 Certainty of evidence ratings<\/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\/uncertainty-quantification\/\" aria-label=\"Uncertainty quantification and model validation: 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\/nexus-reports\/stem\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Meta-analysis with heterogeneity stated \u00b7 Small-study and publication bias<\/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\/probability-statistics\/\" aria-label=\"Probability and statistics: 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\/nexus-reports\/stem\/data-engineering\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Data engineering, interoperability and stewardship<\/span><span class=\"nx-mledger-role\">Structured publishing in JATS XML \u00b7 Persistent identifiers across the record<\/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\/data-engineering\/\" aria-label=\"Data engineering, interoperability and stewardship: 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\">Documentation shows what was assumed; it does not show that the assumptions are right. Scenario ranges reflect the scenarios chosen, not the full range of possible futures, and probabilities are rarely assignable to them. Reproduction confirms that results follow from code and data, not that the model represents reality. Some models and data cannot be archived for licence or security reasons, and this is stated. Nexus Reports does not select scenarios for any regulator or ministry.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-14-sec\" class=\"nx-section\" data-hue=\"project\" 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>Is a scenario a forecast?<\/summary><div class=\"nx-answer\">No. A scenario is a coherent and plausible description of a possible future used to explore consequences and decisions. It carries no probability unless one is explicitly and defensibly assigned.<\/div><\/details><details><summary>What is the difference between reproduction and replication?<\/summary><div class=\"nx-answer\">Reproduction reruns the same code on the same data to obtain the same result. Replication tests the finding with new data or methods. Both matter; they answer different questions.<\/div><\/details><details><summary>Why publish an assumptions register?<\/summary><div class=\"nx-answer\">Because results often depend more on a few assumptions than on the model structure. A register lets reviewers and users test the assumptions that drive the result.<\/div><\/details><details><summary>Is a scenario a prediction?<\/summary><div class=\"nx-answer\">No. A scenario explores what could happen under stated assumptions. It is labelled Scenario and should not be read as a forecast.<\/div><\/details><details><summary>Are the stress tests regulatory stress tests?<\/summary><div class=\"nx-answer\">No. They are research studies of how systems respond to shocks, and they make no finding about the soundness of any institution.<\/div><\/details><details><summary>Can I reuse the models?<\/summary><div class=\"nx-answer\">Where rights permit, code and data are released with a licence stated in the source and rights register.<\/div><\/details><details><summary>What if a method is found to be flawed?<\/summary><div class=\"nx-answer\">The method note and every edition that relied on it are corrected in new versions, with the change recorded on the corrections page.<\/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 Nexus Reports.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/nexus-reports\/topics\/global-systems-series\/\">Global systems series <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\/nexus-reports\/topics\/country-and-regional-series\/\">Country and regional series <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\/nexus-reports\/topics\/sectoral-series\/\">Sectoral series <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\/nexus-reports\/topics\/frontier-technology-series\/\">Frontier technology series <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\/nexus-reports\/topics\/labs-and-foundry-series\/\">Labs and foundry series <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\/nexus-reports\/topics\/universe-annual-synthesis\/\">Nexus Universe annual synthesis <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\/nexus-reports\/\">Nexus Reports 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\/nexus-reports\/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\">Nexus Reports<\/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=Nexus%20Reports%3A%20Scenarios%20and%20methods\">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\/nexus-reports\/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\/nexus-reports\/topics\/scenarios-and-methods\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/nexus-reports\/topics\/scenarios-and-methods\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Is a scenario a forecast?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. A scenario is a coherent and plausible description of a possible future used to explore consequences and decisions. It carries no probability unless one is explicitly and defensibly assigned.\"}},{\"@type\":\"Question\",\"name\":\"What is the difference between reproduction and replication?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Reproduction reruns the same code on the same data to obtain the same result. Replication tests the finding with new data or methods. Both matter; they answer different questions.\"}},{\"@type\":\"Question\",\"name\":\"Why publish an assumptions register?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because results often depend more on a few assumptions than on the model structure. A register lets reviewers and users test the assumptions that drive the result.\"}},{\"@type\":\"Question\",\"name\":\"Is a scenario a prediction?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. A scenario explores what could happen under stated assumptions. It is labelled Scenario and should not be read as a forecast.\"}},{\"@type\":\"Question\",\"name\":\"Are the stress tests regulatory stress tests?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. They are research studies of how systems respond to shocks, and they make no finding about the soundness of any institution.\"}},{\"@type\":\"Question\",\"name\":\"Can I reuse the models?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Where rights permit, code and data are released with a licence stated in the source and rights register.\"}},{\"@type\":\"Question\",\"name\":\"What if a method is found to be flawed?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The method note and every edition that relied on it are corrected in new versions, with the change recorded on the corrections page.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/therisk.global\/nexus-reports\/topics\/scenarios-and-methods\/#terms\",\"name\":\"Key terms: Scenarios and methods\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/nexus-reports\/topics\/scenarios-and-methods\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Scenario\",\"description\":\"A coherent and plausible description of a possible future under stated assumptions, not a forecast.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/nexus-reports\/topics\/scenarios-and-methods\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Shared Socioeconomic Pathways\",\"description\":\"Five narratives of global socioeconomic development used in climate research, held in the IIASA SSP database.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/nexus-reports\/topics\/scenarios-and-methods\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Assumptions register\",\"description\":\"A list of every assumption a study makes, with its source and the sensitivity of results to it.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/nexus-reports\/topics\/scenarios-and-methods\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:63c3b06fe62973a7 -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto G11 \u00b7 TOPIC \u00b7 scenarios-and-methodsGCRI dossier \u00b7 service level R0 GCRI\u00b7Nexus Reports\u00b7Established Topic dossier \u00b7 Nexus Reports Scenarios and methods Scenarios and methods reports set out the analytical machinery &hellip; <a href=\"https:\/\/therisk.global\/nexus-reports\/topics\/scenarios-and-methods\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Scenarios and methods&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":2366,"menu_order":1278,"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":"","inline_featured_image":false,"footnotes":""},"class_list":["post-2394","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/therisk.global\/nexus-reports\/wp-json\/wp\/v2\/pages\/2394","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/therisk.global\/nexus-reports\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/therisk.global\/nexus-reports\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/therisk.global\/nexus-reports\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/therisk.global\/nexus-reports\/wp-json\/wp\/v2\/comments?post=2394"}],"version-history":[{"count":1,"href":"https:\/\/therisk.global\/nexus-reports\/wp-json\/wp\/v2\/pages\/2394\/revisions"}],"predecessor-version":[{"id":2492,"href":"https:\/\/therisk.global\/nexus-reports\/wp-json\/wp\/v2\/pages\/2394\/revisions\/2492"}],"up":[{"embeddable":true,"href":"https:\/\/therisk.global\/nexus-reports\/wp-json\/wp\/v2\/pages\/2366"}],"wp:attachment":[{"href":"https:\/\/therisk.global\/nexus-reports\/wp-json\/wp\/v2\/media?parent=2394"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}