{"id":61,"date":"2026-10-16T09:05:58","date_gmt":"2026-10-16T09:05:58","guid":{"rendered":"https:\/\/therisk.global\/climate-hazards\/?page_id=61"},"modified":"2026-10-16T18:25:42","modified_gmt":"2026-10-16T18:25:42","slug":"methods","status":"publish","type":"page","link":"https:\/\/therisk.global\/climate-hazards\/research\/methods\/","title":{"rendered":"Methods and uncertainty"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/climate-hazards\/research\/methods\/ \u00b7 source template \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\">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<\/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-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=\"nD8AHC9C+3M3ObZpd9R\/Lxb2bo29sfEuijTslQu3cAY=\">(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-p02-research-methods\"><div class=\"nxe\" id=\"nxe-n23rjfdd\" data-inst=\"gcri\" data-theme=\"light\" data-grammar=\"atlas\" data-domain=\"climate\" data-arche=\"evidence\" lang=\"en\" data-nx-css=\"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\"><style>#nxe-n23rjfdd.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-n23rjfdd.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n23rjfdd.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n23rjfdd.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n23rjfdd.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n23rjfdd.nxe :where(ul,ol){padding-left:20px}#nxe-n23rjfdd.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n23rjfdd.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n23rjfdd.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n23rjfdd.nxe svg{display:none}#nxe-n23rjfdd.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n23rjfdd.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n23rjfdd.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=\"split\" 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-P02 \u00b7 EVIDENCE \u00b7 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\">Climate and Hazards<\/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>Methods and uncertainty<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Methods and uncertainty<\/h1><p class=\"nx-tagline\">The methods Climate and Hazards relies on, the assumptions they carry and the limits of what they can show.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/climate-hazards\/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\/climate-hazards\/research\/\">Back to Research and evidence<\/a><\/div><dl class=\"nx-facts\"><div><dt class=\"nx-eyebrow\">Publisher<\/dt><dd>The Global Centre for Risk and Innovation<\/dd><\/div><div><dt class=\"nx-eyebrow\">Field<\/dt><dd>Climate and hazards, Disaster and crisis<\/dd><\/div><div><dt class=\"nx-eyebrow\">Status<\/dt><dd>In development<\/dd><\/div><div><dt class=\"nx-eyebrow\">Service level<\/dt><dd>R0: information and enquiries<\/dd><\/div><\/dl><\/div><div data-lv-fill=\"console\" data-lv-id=\"hazard-watch\"><div class=\"nx-window\"><div class=\"nx-window-bar\" aria-hidden=\"true\"><span class=\"nx-window-dots\"><span><\/span><span><\/span><span><\/span><\/span><span><strong>GCRI<\/strong> \u00b7 Climate and Hazards \u00b7 Evidence grading<\/span><span class=\"nx-window-note\">Illustrative<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-hazards-evidence-grading\" data-cx=\"hazards.evidence-grading\" data-variant=\"hero\" aria-label=\"Evidence grading: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h2 class=\"nx-fk-title\">Evidence grading<\/h2><p class=\"nx-fk-sub\">Methods and uncertainty \u00b7 Review wave 2<\/p><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Two sources downgraded<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Climate and Hazards<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"matrix\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Certainty by criterion<\/h4><p class=\"nx-fk-panel-sub\">0 low to 100 high<\/p><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 520 138\" width=\"520\" height=\"138\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Certainty by criterion\" data-fk-chart=\"cx-hazards-evidence-grading-heat\" data-nx-z=\"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\"><\/svg><\/div><p class=\"nx-fk-note\">Higher is more certain. Values are placeholders.<\/p><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"queue\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Review queue<\/h4><\/div><\/div><ol class=\"nx-cx-q\"><li><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>R-1<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Heat index days above threshold<\/span><span class=\"nx-cx-qm\">second reviewer<\/span><\/span><span class=\"nx-cx-age\"><span class=\"nx-cx-n\">1<\/span> d<\/span><\/li><li><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>R-2<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Extreme rainfall, 1-in-100 depth<\/span><span class=\"nx-cx-qm\">second reviewer<\/span><\/span><span class=\"nx-cx-age\"><span class=\"nx-cx-n\">1<\/span> d<\/span><\/li><li><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>R-3<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Fire weather index<\/span><span class=\"nx-cx-qm\">second reviewer<\/span><\/span><span class=\"nx-cx-age\"><span class=\"nx-cx-n\">1<\/span> d<\/span><\/li><\/ol><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><\/figure><\/div><\/div><p class=\"nx-caption\"><strong>Climate and Hazards \u00b7 Evidence grading<\/strong><span>Evidence grading, in outline: domain structure with placeholder names and illustrative values, not a record.<\/span><\/p><\/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>Draft to published version<\/a><a href=\"#nx-sec-field\"><span>03<\/span>Climate signals in World<\/a><a href=\"#nx-sec-methods\"><span>04<\/span>The methods in use<\/a><a href=\"#nx-sec-pg-method-register\"><span>05<\/span>Each method, its role in this field\u2026<\/a><a href=\"#nx-sec-pg-uncertainty\"><span>06<\/span>Where uncertainty in hazard analysis\u2026<\/a><a href=\"#nx-sec-uncertainty\"><span>07<\/span>How uncertainty is reported<\/a><a href=\"#nx-sec-terms\"><span>08<\/span>Terms used on this page<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"climate\" 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\">The Climate and Hazards methods page sets out the methods the platform relies on, among them climate and atmospheric science, Earth and geophysical science, and forecasting and time-series analysis, with their assumptions, validation and limits. Each analysis lists its assumptions and data, reports ranges and confidence beside central estimates, is checked against observations or other models, and states what it cannot show.<\/p><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"search\" data-nxf-kind=\"search\" data-nxf-resource=\"nexus:\/\/gcri\/G-P02\/research\/methods\/#search\" data-nxf-title=\"Search publications\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"systemic\" 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\">Canvas<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Draft to published version.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Canvas<\/strong> \u00b7 draft to published version<\/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-p02-research-methods-source-passport-t nx-dag-g-p02-research-methods-source-passport-d\" data-nx-z=\"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\"><title id=\"nx-dag-g-p02-research-methods-source-passport-t\">Methods and uncertainty: from a source to a labelled evidence record<\/title><desc id=\"nx-dag-g-p02-research-methods-source-passport-d\">A source is registered with its licence and steward, checked for quality and coverage, labelled by evidence class, versioned and published with a passport; corrections create a new version. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig.<\/strong><span>How a finding is reviewed before it is published. Design, not a record.<\/span><\/p><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"climate\" 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\">Geography<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Climate signals in World.<\/h2><p class=\"nx-lede\">For methods and uncertainty, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery and land cover, framed on World; 4 further NASA layers wait in the list.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"world:climate\" data-ml-src=\"climate\" data-ml-plan=\"p-86c0d8fb\"><div class=\"nx-wm\" data-nx-water=\"ctx-climate\" data-wm-domain=\"ctx-climate\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"-180,-58,180,84\" 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=\"Climate signals, World: 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=\"true||||\" aria-pressed=\"false\">True colour<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"cover||||\" aria-pressed=\"false\">Land cover<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"lstd||||\" aria-pressed=\"false\">Surface heat<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"imerg||||\" aria-pressed=\"false\">Rain now<\/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\">2<\/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\">Climate signals, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"true\" data-wm-z=\"20\" 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=\"cover\" aria-pressed=\"true\" data-wm-z=\"21\" 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=\"lstd\" aria-pressed=\"false\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Land temperature, day\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite 8-day composite; persistent cloud still leaves gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land surface temperature, day, 8-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 Level 3, 8-day \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"lstd\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"imerg\" aria-pressed=\"false\" data-wm-z=\"23\" 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><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"flood\" aria-pressed=\"false\" data-wm-z=\"24\" 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=\"ssta\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-op=\"0.85\" data-wm-short=\"Marine heat (anomaly)\" data-wm-prov=\"NASA JPL PO.DAAC\" data-wm-kind=\"Satellite analysis\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Sea surface temperature anomaly<\/span><span class=\"nx-wm-layer-src\">NASA JPL PO.DAAC GHRSST MUR25 \u00b7 <span data-wm-date=\"ssta\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ssta\" 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=\"nD8AHC9C+3M3ObZpd9R\/Lxb2bo29sfEuijTslQu3cAY=\">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 methods and uncertainty, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery and land cover, framed on World; 4 further NASA layers wait in the 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=\"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.podaac.ghrsst-mur\">GHRSST Level 4 MUR analyses, NASA Jet Propulsion Laboratory; distributed by the NASA Physical Oceanography DAAC (PO.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=\"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 (24 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>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">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>Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/li><li>Precipitation rate, daily mean: GPM IMERG, NASA GES DISC \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/li><li>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/li><li>Sea surface temperature anomaly: GHRSST MUR25, NASA JPL PO.DAAC \u00b7 <span data-wm-date=\"ssta\">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-P02\/research\/methods\/#map\" data-nxf-title=\"Climate and Hazards live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"systemic\" 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\">Methods<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">The methods in use.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/climate-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Climate and atmospheric science<\/span><span class=\"nx-mledger-role\">Detection and attribution of change \u00b7 Extreme event attribution \u00b7 Process-based model evaluation<\/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\/climate-science\/\" aria-label=\"Climate and atmospheric 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\/climate-hazards\/stem\/geoscience\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Earth and geophysical science<\/span><span class=\"nx-mledger-role\">Seismic source characterisation \u00b7 Ground deformation monitoring \u00b7 Site condition mapping<\/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\/geoscience\/\" aria-label=\"Earth and geophysical 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\/climate-hazards\/stem\/forecasting\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Forecasting and time-series analysis<\/span><span class=\"nx-mledger-role\">Ensemble forecast interpretation \u00b7 Seasonal outlook use \u00b7 Forecast verification<\/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\/climate-hazards\/stem\/extreme-value\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Extreme value theory and tail risk<\/span><span class=\"nx-mledger-role\">Return level estimation \u00b7 Non-stationary extremes \u00b7 Regional frequency 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\/mathematics\/extreme-value\/\" aria-label=\"Extreme value theory and tail risk: 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\/climate-hazards\/stem\/earth-observation\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">05<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Earth observation and remote sensing<\/span><span class=\"nx-mledger-role\">Flood extent mapping \u00b7 Vegetation and drought monitoring \u00b7 Active fire and burned area<\/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\/earth-observation\/\" aria-label=\"Earth observation and remote sensing: 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\/climate-hazards\/stem\/spatial-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">06<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Spatial statistics and geostatistics<\/span><span class=\"nx-mledger-role\">Interpolating station data \u00b7 Merging satellite and gauge data \u00b7 Spatial clustering of events<\/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\/spatial-statistics\/\" aria-label=\"Spatial statistics and geostatistics: 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\/climate-hazards\/stem\/computing\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">07<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">High-performance, cloud and edge computing<\/span><span class=\"nx-mledger-role\">Running and storing ensembles \u00b7 Analysis near the data \u00b7 Edge processing for observations<\/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\/computing\/\" aria-label=\"High-performance, cloud and edge computing: 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\/climate-hazards\/stem\/hydrology\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">08<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Hydrology and water science<\/span><span class=\"nx-mledger-role\">Catchment flood modelling \u00b7 Drought propagation \u00b7 Flood frequency with changing climate<\/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\/hydrology\/\" aria-label=\"Hydrology and water 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\/climate-hazards\/stem\/ocean-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">09<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Ocean and coastal science<\/span><span class=\"nx-mledger-role\">Extreme sea-level analysis \u00b7 Marine heatwave detection \u00b7 Climate mode monitoring<\/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\/ocean-science\/\" aria-label=\"Ocean and coastal 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\/climate-hazards\/stem\/space-systems\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">10<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Space systems and satellite services<\/span><span class=\"nx-mledger-role\">Observation continuity planning \u00b7 Satellite communications for warnings<\/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\/space-systems\/\" aria-label=\"Space systems and satellite services: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><\/div><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P02\/research\/methods\/#evidence\" data-nxf-title=\"Evidence records\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-sec-pg-method-register\" class=\"nx-section\" data-hue=\"climate\" data-variant=\"split\" 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\">Method register<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Each method, its role in this field and how it is checked.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><ul class=\"nx-dir\" data-cols=\"3\" aria-label=\"Method\"><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/climate-science\/\"><span class=\"nx-dir-name\">Climate science<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Climate and atmospheric science is the core science this platform stewards for the network.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Multi-dataset comparison; Calibrated confidence; Model fitness<\/span><\/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><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/geoscience\/\"><span class=\"nx-dir-name\">Geoscience<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Earth and geophysical science explains the solid-Earth hazards: earthquakes, volcanic activity, tsunamis, landslides and subsidence.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Catalogue completeness; Logic-tree sensitivity; Ground truth for deformation<\/span><\/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><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/forecasting\/\"><span class=\"nx-dir-name\">Forecasting<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Forecasting and time-series analysis supply the predictive side of hazard evidence: weather and flood forecasts, seasonal outlooks and statistical predictions.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Proper scoring rules; Reliability diagrams; Reference comparison<\/span><\/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><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/extreme-value\/\"><span class=\"nx-dir-name\">Extreme value<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Extreme value statistics estimate how large and how frequent rare events can be from limited records.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Goodness of fit in the tail; Confidence intervals; Stationarity tests<\/span><\/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><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/earth-observation\/\"><span class=\"nx-dir-name\">Earth observation<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Earth observation and remote sensing measure hazards and their footprints from space and the air: rainfall, soil moisture, vegetation, fire, flood extent and ground deformation.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Accuracy assessment; Cross-sensor consistency; Detection limits<\/span><\/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><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/spatial-statistics\/\"><span class=\"nx-dir-name\">Spatial statistics<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Spatial statistics and geostatistics interpolate, smooth and compare hazard data across space.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Cross-validation; Variogram review; Uncertainty maps<\/span><\/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><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/computing\/\"><span class=\"nx-dir-name\">Computing<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">High-performance, cloud and edge computing run the models and handle the data volumes that hazard science needs.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Bit-for-bit reproducibility; Format and metadata compliance; Resource accounting<\/span><\/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><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/hydrology\/\"><span class=\"nx-dir-name\">Hydrology<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Hydrology explains how rainfall becomes streamflow, floods, soil moisture and groundwater.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Split-sample testing; Rating curve review; Multi-model comparison<\/span><\/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><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/ocean-science\/\"><span class=\"nx-dir-name\">Ocean science<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Ocean and coastal science supplies the marine drivers of climate hazards: sea-level rise, storm surge, waves, marine heatwaves and the ocean's role in cyclones and climate variability.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Vertical land motion; Climatology consistency; Projection traceability<\/span><\/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><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/space-systems\/\"><span class=\"nx-dir-name\">Space systems<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Space systems and satellite services provide the observation, communication and positioning that hazard monitoring and warning depend on.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Mission status verification; Single-mission dependency; Data latency<\/span><\/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><\/a><\/li><\/ul><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-uncertainty\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" data-variant=\"split\" 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\">Uncertainty<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Where uncertainty in hazard analysis comes from, and how it is shown.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th>Source<\/th><th>Why it matters here<\/th><th>How it is reported<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">Emission pathway<\/td><td data-label=\"Why it matters here\">Dominates late-century change<\/td><td data-label=\"How it is reported\">Results by scenario, never averaged across scenarios<\/td><\/tr><tr><td data-label=\"Source\">Model structure<\/td><td data-label=\"Why it matters here\">Dominant for regional precipitation and extremes<\/td><td data-label=\"How it is reported\">Multi-model ensembles with spread<\/td><\/tr><tr><td data-label=\"Source\">Internal variability<\/td><td data-label=\"Why it matters here\">Dominant for the next decades locally<\/td><td data-label=\"How it is reported\">Large ensembles<\/td><\/tr><tr><td data-label=\"Source\">Observational baseline<\/td><td data-label=\"Why it matters here\">Station density and reanalysis bias<\/td><td data-label=\"How it is reported\">Comparison of products<\/td><\/tr><tr><td data-label=\"Source\">Rare-event statistics<\/td><td data-label=\"Why it matters here\">Short records for extremes<\/td><td data-label=\"How it is reported\">Confidence intervals on return levels<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-p\">Projections carry IPCC calibrated language where they draw on assessed findings.<\/p><\/div><\/div><\/section><section id=\"nx-sec-uncertainty\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" 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\">Uncertainty<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">How uncertainty is reported.<\/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\">State assumptions<\/h3><p class=\"nx-p nx-mt-1\">Each analysis lists its assumptions and the data it depends on.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Quantify where possible<\/h3><p class=\"nx-p nx-mt-1\">Ranges and confidence are reported alongside central estimates.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Validate and compare<\/h3><p class=\"nx-p nx-mt-1\">Models are checked against observations and, where possible, against other models.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Publish limits<\/h3><p class=\"nx-p nx-mt-1\">What an analysis cannot show is stated beside what it can.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" data-variant=\"split\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-9\" 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\">Uncertainty quantification<\/td><td data-label=\"Definition\">Characterising and propagating the uncertainties in a model to state confidence in its outputs.<\/td><\/tr><tr><td data-label=\"Term\">Sensitivity analysis<\/td><td data-label=\"Definition\">Repeating an analysis under different assumptions to show how much the result depends on them.<\/td><\/tr><tr><td data-label=\"Term\">Model validation<\/td><td data-label=\"Definition\">Comparing model predictions with independent observations to judge fitness for a stated use.<\/td><\/tr><tr><td data-label=\"Term\">Climate and atmospheric science<\/td><td data-label=\"Definition\">Climate science studies the physical processes that govern the atmosphere, oceans, cryosphere and land surface over seasons to centuries.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section\" data-hue=\"climate\" data-variant=\"split\" 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\">Sources<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Where this page's references lead.<\/h2><p class=\"nx-lede\">The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/www.ipcc.ch\/report\/ar6\/wg1\/\" target=\"_blank\" rel=\"noopener\"><span>IPCC Sixth Assessment Report, Working Group I<\/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><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/cds.climate.copernicus.eu\/\" target=\"_blank\" rel=\"noopener\"><span>Copernicus Climate Data Store (ERA5 and derived products)<\/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><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/wcrp-cmip.org\/\" target=\"_blank\" rel=\"noopener\"><span>Coupled Model Intercomparison Project (WCRP CMIP)<\/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><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.undrr.org\/publication\/hazard-information-profiles-hips\" target=\"_blank\" rel=\"noopener\"><span>UNDRR-ISC Hazard Information Profiles<\/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><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-11-sec\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" 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\">Questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Are the methods open?<\/summary><div class=\"nx-answer\">Method descriptions are public on the STEM Commons. Code and data follow their own licences and access terms, listed in the source register.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-12\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-12\" class=\"nx-h3 nx-mt-2\">Around Climate and Hazards.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/climate-hazards\/research\/sources\/\">Source and data register <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\/climate-hazards\/\">Climate and Hazards 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\/climate-hazards\/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-13\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Climate and Hazards<\/span><h2 id=\"nx-close-13\" 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=Climate%20and%20Hazards%3A%20Methods%20and%20uncertainty\">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\/climate-hazards\/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\/climate-hazards\/research\/methods\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/climate-hazards\/research\/methods\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Are the methods open?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Method descriptions are public on the STEM Commons. Code and data follow their own licences and access terms, listed in the source register.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/therisk.global\/climate-hazards\/research\/methods\/#terms\",\"name\":\"Key terms: Methods and uncertainty\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/climate-hazards\/research\/methods\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Uncertainty quantification\",\"description\":\"Characterising and propagating the uncertainties in a model to state confidence in its outputs.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/climate-hazards\/research\/methods\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Sensitivity analysis\",\"description\":\"Repeating an analysis under different assumptions to show how much the result depends on them.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/climate-hazards\/research\/methods\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Model validation\",\"description\":\"Comparing model predictions with independent observations to judge fitness for a stated use.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/climate-hazards\/research\/methods\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Climate and atmospheric science\",\"description\":\"Climate science studies the physical processes that govern the atmosphere, oceans, cryosphere and land surface over seasons to centuries.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/climate-hazards\/research\/methods\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:ca717496dae7159a -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto G-P02 \u00b7 EVIDENCE \u00b7 methodsGCRI dossier \u00b7 service level R0 GCRI\u00b7Climate and Hazards\u00b7In development Methods and uncertainty Methods and uncertainty The methods Climate and Hazards relies on, the assumptions &hellip; <a href=\"https:\/\/therisk.global\/climate-hazards\/research\/methods\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Methods and uncertainty&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":49,"menu_order":493,"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-61","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/therisk.global\/climate-hazards\/wp-json\/wp\/v2\/pages\/61","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/therisk.global\/climate-hazards\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/therisk.global\/climate-hazards\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/therisk.global\/climate-hazards\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/therisk.global\/climate-hazards\/wp-json\/wp\/v2\/comments?post=61"}],"version-history":[{"count":2,"href":"https:\/\/therisk.global\/climate-hazards\/wp-json\/wp\/v2\/pages\/61\/revisions"}],"predecessor-version":[{"id":165,"href":"https:\/\/therisk.global\/climate-hazards\/wp-json\/wp\/v2\/pages\/61\/revisions\/165"}],"up":[{"embeddable":true,"href":"https:\/\/therisk.global\/climate-hazards\/wp-json\/wp\/v2\/pages\/49"}],"wp:attachment":[{"href":"https:\/\/therisk.global\/climate-hazards\/wp-json\/wp\/v2\/media?parent=61"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}