{"id":2087,"date":"2026-10-17T07:07:41","date_gmt":"2026-10-17T11:07:41","guid":{"rendered":"https:\/\/globalriskalliance.com\/insurance-nexus\/?page_id=2087"},"modified":"2026-10-18T15:01:33","modified_gmt":"2026-10-18T19:01:33","slug":"methods","status":"publish","type":"page","link":"https:\/\/globalriskalliance.com\/insurance-nexus\/research\/methods\/","title":{"rendered":"Analysis and uncertainty"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/globalriskalliance.com\/insurance-nexus\/research\/methods\/ \u00b7 source template \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><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\">(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-a01-research-methods\"><div class=\"nxe\" id=\"nxe-n8js5ugw\" data-inst=\"gra\" data-theme=\"light\" data-grammar=\"atlas\" data-domain=\"finance\" data-arche=\"evidence\" lang=\"en\" data-nx-css=\"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\"><style>#nxe-n8js5ugw.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-n8js5ugw.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n8js5ugw.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n8js5ugw.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n8js5ugw.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n8js5ugw.nxe :where(ul,ol){padding-left:20px}#nxe-n8js5ugw.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n8js5ugw.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n8js5ugw.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n8js5ugw.nxe svg{display:none}#nxe-n8js5ugw.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n8js5ugw.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n8js5ugw.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=\"timeline\" 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>A01 \u00b7 EVIDENCE \u00b7 methods<\/strong>GRA 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\">GRA<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Insurance Nexus<\/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>Methods and uncertainty<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Analysis and uncertainty<\/h1><p class=\"nx-tagline\">The methods Insurance Nexus 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:\/\/globalriskalliance.com\/insurance-nexus\/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:\/\/globalriskalliance.com\/insurance-nexus\/research\/\">Back to Professional research<\/a><\/div><dl class=\"nx-facts\"><div><dt class=\"nx-eyebrow\">Publisher<\/dt><dd>The Global Risks Alliance<\/dd><\/div><div><dt class=\"nx-eyebrow\">Field<\/dt><dd>Insurance and catastrophe, Climate and hazards, Health and biosecurity<\/dd><\/div><\/dl><\/div><div class=\"nx-hero-rail\"><ol class=\"nx-lv-rail\"><li><div><span class=\"nx-lv-rail-k\">01<\/span><span class=\"nx-lv-rail-t\">Draft<\/span><span class=\"nx-lv-rail-n\">sources cited, labels attached<\/span><\/div><\/li><li><div><span class=\"nx-lv-rail-k\">02<\/span><span class=\"nx-lv-rail-t\">Evidence check<\/span><span class=\"nx-lv-rail-n\">every value traced<\/span><\/div><\/li><li><div><span class=\"nx-lv-rail-k\">03<\/span><span class=\"nx-lv-rail-t\">Independent review<\/span><span class=\"nx-lv-rail-n\">conflicts declared<\/span><\/div><\/li><li><div><span class=\"nx-lv-rail-k\">04<\/span><span class=\"nx-lv-rail-t\">Edition<\/span><span class=\"nx-lv-rail-n\">published with its limits<\/span><\/div><\/li><li><div><span class=\"nx-lv-rail-k\">05<\/span><span class=\"nx-lv-rail-t\">Correction<\/span><span class=\"nx-lv-rail-n\">a new version, never a silent edit<\/span><\/div><\/li><\/ol><\/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>Hazards and exposure in the Gulf of\u2026<\/a><a href=\"#nx-sec-methods\"><span>04<\/span>The methods in use<\/a><a href=\"#nx-sec-pg-nx-gra-a01-me-actuarial\"><span>05<\/span>Actuarial and catastrophe methods,\u2026<\/a><a href=\"#nx-sec-pg-nx-gra-a01-me-climate\"><span>06<\/span>When the past is a biased sample<\/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=\"finance\" data-variant=\"stack\" 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 Insurance Nexus methods page sets out the methods the platform relies on, among them actuarial mathematics, extreme value theory and tail risk, and probability and statistics, 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:\/\/gra\/A01\/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=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">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-a01-research-methods-ipcc-risk-t nx-dag-a01-research-methods-ipcc-risk-d\" data-nx-z=\"zVzLcuM6kv0VBGfTHWPSxIuPiJIjPLbmXke75Go\/7p27pCnYYpREqknKj1r1ctaz6T+YX5h995\/0l0zgQQqURAkUafddlAu0iURmIvMgkUjiy5Q9FWdfllFZsjwFyXRkpW\/2NHq2IxfaOStYlMcze8HKWTYt7GQZx3aeFN\/taVYWFnhNpuVsZEHPAjOWPM9K2VbkHtKkLEbWqmD53TKK2U36UDDr7Euc5PGcgXgeFfzPnNZTwuZTC8RvIyuwQPwu\/stHluv41unZl1NF8ezLIsq\/s7wDo1GeZ68WeEnY639kbyPLBS4IAKfOnv5rZPmi8dvIIhaQtH+VMnnV889KMM8CWZ6wtBxZ0arM7KKM8tLO2QvLhVTLqJytZVLDTkfWV8CHvAYBIOBaDP5DiCSpHyuRPU9e2L9ILDW2gWyn0rxyFpdrGnGUvkSa8SDXXZsP9YgF8jfO16nq2P7eUzKfj6xVPv\/Dv5lb7R9rwjVHyyhlc5tTswDXpQXexc+dI3suJzBPUs2CZ1GS24UF3qDo94aqTu9QdADvqOpYsjdt5EWWZmBlJ+l3JIaGgRgbUws8ZWlpF8kPNrKg61AL8J52lMazLB9ZYposMGfcL+xiGcVJ+sz9xSVsYZ3lq7QApyBJi1UepTGzU\/a2Er+pdRHPoiQFpyBKo\/l7kRR2lE7tVRqzvIyS9MspH25TUWk2ZXYZPYOVXT7aj9H0mQm2iQcF3wjWSguRhgmBnFPcqoCKsM3\/KkhS15eqwE5TGcGWLhbJdDpnu5QBuS4ux3dXP03A7cOkEup5PX75aIFpVEZ2FJdJlo6sH1m2sJPUAnk2ZyPrcVWWWWqBMnpM0imT1hHlSWTPo0c2l++DJLW2rHyWLIUgYeA7RGpnbVKIOBpm8j9w\/ZDDBhKGoaMUQw7ZSLteXI8r5t8rfZw+G+gkW5XdlMI7tGuFEicYTiue78CBtPLP\/\/4fU708JeYq4e+2a8MNN3WBfa6fY3SBfCccSBf\/eXVvqovlPHo3VoZ4uVUbAfW4HTT1QQj3oiP0EfiBsrT++vh2ff6brpAWAXy6Zdqhe6RpBy528EDsX5\/\/dvNwD\/7+f+D6djfAP+fZSsqApD\/54doiMXWgNgcYISlFsE8KLKhhSS3EDRFC00UNIgHkt1e\/jG\/vDnGOqSv4fOcLD25lH1Wrkgn73ppk6PeR4fzubnx393U8uT8khueHDgoPTUIXKbygpthvIm7Hd99uJnfjQyJA1w0cgremAvquQ30tPoDEWAjowjXNnnPxcP\/zze3Vfe3SzViXTZ8ZkP9VES8HvKJkSzGUeHrKs8XImv1Qj2U2svLvYgc0u2bps5BWhcrQDx3qA0gQuACYYgcS8aCaiHiAIs\/xIW9WYbrN0mmnEHcdoYtAd1sk+2le70y6sXTaWAGYwPIOStm0E0nAfnyWLkaoUzmt72jBN9VxH+JDkaSiWioowCougKFYU0ziyLN\/\/E3H+KONgr2ZGwXX9IWu9n+9URiy1NEoNpViahQIh8MbBSLBxxtF0JC\/YJr8L6u9RoGpCy4A8l0n8MSD1sQe4pOBqfupRmHI0mkPDUWxgYYwIWosbqN+UD1gtG5+soa6sXTaA1i4Ug4CC3UD7qKSHUpQ9UBCpFz304GlG0sdgWVTKfuBhULXkWkeFMKhgIVCv9qbu+7gwJKKzIgmP4QNBXBDqBWQLXdbhedjB4UK233Xrx48Kpp87fdCqJr9rKLFIJoioIYInOv1HBa7RQj4zthTMUvgw+ohQKLJpQkoVc1PF6ExC20iNGfBI9VyqzU\/VQTSFKHQRJjGLUuU6yKHYCUDdLFXPYVB3YQuclX746XA7abEg47DphTUDzaUk4CHYn0\/kO3nfD+QEQg5smyFzaSRPuoIZATXsXiHsDmKywJkaUvCiGd4q0TvNEubc1f5EP+rtnFQ2aKfox9RPq208r5kI4s3C7bGw6hkI+vyZjJWv1nAkZWkJUuLpHznCY+nnP1lxdL4vXoBjaxv2TyJ30E0XSRpUpR5xDNZgL2VeRRXpMVmdmRd5gk\/EDFOcEmWT4Di8wQIkXem0x+zNxmWqj2tq+2TidfYJ\/vB5tlIk9SMRVNTWsjrSAv6rbQgaiGSxFxLwkwVQ6FGRCNANPts+rmg8zx\/X84sUOZRWjxl+WJkieY8KtkfCDyBbvhH6dIYEIfGrg0BsqFDAeE\/CwJ4E0CHvtDYBdBGvG2L3xQ2sXmbv\/jjKwY+fwGIF2SXgv9dEtr2niJKC5mdgGBlv3r8zIcrVYmL3I3DC+GtZ9I6KkfZn++oNEcOnYIcSp6d35\/fje8PDYoag9LQIL9yttvRuonnI5ORWjz2n3\/93\/3nVTJzhInjy\/gMYm+dUfMaSEm7H1VBvqFUhEkzIxV0PKq6mdRJtc1T8mXGp5efkMu9mDwmF2FaPrKwtM4uoIsboFtvzBWCjd+WWbHKWWfYXbJsOWfcFKKiYGUBkhRcZFFRRnPAZXjK5kmmoXCSvrC0zPL3fohb8XsM5iLXHwxz99HqirlIO089GnMRxB+BuQji3yXmIkR2Ym5lH51gCZHw81EXeSbJ+bM2P9PA0ExG3zMDeeWm3ZAWEfdjkBZR+PFIy\/0wFlJ4OsqaQfNGpy7QTBvQXOcMFdTdidU2eUnK987o\/DrLQFKAWZQv2FRD4ThLpwlfTfuhsMbaMUCMIRwMiPfR6grEGNH+QIwbEfRgQIyh\/7sEYp733AXEmol0wilM8edjMfZMThjPGl7VTarANRmgds9u6IsJ+Rj0xZR+bpwr0vjHganXANP6eEEh1vk0WpbJCwNxxJk8AlIXjPtBmYE4W7JGYFuUSbnis1b0Q9UtHjthKwx9ocah8NWQnjHG6vR64Sxy6Zqx4bFWkv\/94S1Ca7FbMHfLgMwwSlfop6KvPrAZAjecsLt0Ziise7QBEKMwdDD5ACDG\/KCJfB4Qy6PN3kAcNIC4PrBTIPfLap6yPHpM5psgvMimWsZ8d6p3WucvZDS7WGZFUjIg3p824fe8KFhRLFhqXr3ZYO4ECI6M4lpx4jtgbGtGzzy+1ej1wl7su2vGhsdeSb6BvRDOsU0BAhhg2zNGSxyuGW1By8Zkm2GJLn5fpPx6czm+NsNJfVgznBTm3V0m0yi16XYGGEk87ITwAzCSBMjB8BMxUnlSXEliki5odKKGOQZZRtEVjVtrSiQa1+fWCvBuk+L7IRC+fZhMriY\/aTg8Ewcb4B9\/A0yl23j7ZQeyc5TOo7Q+wz0emjmnNSLnqzRN0uf9oCyLTIbL\/BrSMwZlnV6vDDDlO8GPywJL8o1M8JGgTOma0Zb8LZ9mM9zSpe6bv+2AxfqwZhncVm8xTuHqY5qlcYXPGeCy54ZOEG6lcGmzPuoIXPaw79BwiBSugp82aI7imKUlWCnki4VQrhBKZmd9bgy54n4P3CpvFJ2wIbA3OpkmjxudaHCoE5D\/6fKJuqJqVLcnAWp6sviXFVvVMfZGbZpcXeqalgqzWbHM0oKBbKmnR+RKU0b10qMWmj8\/jB\/Gl9o6k7PpKhZnHxKYWC7OQfgut7ELKMqNzEs1sPnqssHpCeDsnQAl8951RlbSDVfVYUjPeJ3R6fWq7vDCcM3Y8BUeknyjygPPgpfgZ\/zDeIXx4ZrFlqqMzak2g2Bd9r41Gvfnd38yW2z0Uc2KNFpdxnix0cc0K9cQDmiw2PiB63jeVmUGCR3Ub7EJXOogb4jKDAlBh7cBlU\/tqM1o7yTrEFUn7B3RiQSGWP0clS31q2ofUGwhdTJdRXOQb24IGpQETP90fq8nZaKnkuUgrxG3xuVFliZllvdH5jVnJ4CzI3\/uB2VZWDtc8G9IzxiUdXq9gv\/AwzWhDwj+JXkt+PcBmlNAbfHPpubQHARrRtuCf32uzdBKF7\/vLoAbthku66OabQKaXtJdNrOwX7mcARaH1Hc8\/AG1G6HvOS4eIvDXp2MPPipHMgyGd3SihvCtauE7V32wOCnWFRcbtfgSjqcbp5WXzT7qkHKTkEDj+utWDZLvVkuWvyRFDb4cjlfplN8\/w4u3X1OQr+ZsI2g+X5WzLBe5G0Nsrtg8AdO6FdVU9p9Wym8GhgNoU4Lm55U6wV4QDV1Uf8v8ERit6GsgjYA\/gy7H6hfoGiM0dMmazxaIrqbcDMEakvcushtfXN1d3UzMILoxtBlGr93mCOnMAHqHE5qUerg83NwCa8\/vXeoBEa0+ku0H1lsf2e\/DUeVYh3GU138voqW18yanag7kChloH\/dp1zgRol3B0SSyWOw4xxQkMVVXiUDqaPtcjz\/UhCVdeBRdJPJrw9PFZFB+ebr2I+j6WF38MgRdmdaSXoKqC2UG0G+V7hJusv78agCLkFsqQRe71YfvQ1hEHSAI2iR0cC\/a\/Na5ysKQ2l2v6eBAvyNG0kGVD3e4N40gdXEab5y2ezqSiiJo7em+fmEbRPqVcocuepG0iLexxBmvSESlpsH91dfx9dVkzNMsN5Mx2L75ZVsXUhOQ13YIXYgiD64KfjbIVUGJgRDQl05PPHLswirvC2p+p9TGLnY9TpgzrJrdWcbyNqMhmN4s9G9jm+BQMi0a3VkmaoHvzfDOcoM2rqkPK2WrZnfOqU+HUrZ+KtfGsu8qcxaN7uz67kDmfNtpk11BwUbpQ9uoG87SBCv+Rel35ZsKrfw1YlKsXy+pBWsbROb2Y5Rvr5o+UVcZ6DR96vi7iZpJHbqOWTJ7y98OSh6IDcTQsjeo9pSeutBM9h217AfFDz9A+HA40WVAYyJ8a1HpIRVQlw5mAYhU92E2qfZVA0JmStgJ3gcVAL2BxMeo+lJfp9ldeNgQHiNTG9Dx\/6DUyOs77XVIT1yotqdNqn2nnWBDuVvOCg\/qAPv9NKBtPojvqYs+dartGmikIV+bWcfqMs83u2K2en5VjKqk5Ct\/gfCsA0EB9qlLPeKH1ubqn4pbgYSRwup9FW2ptowDUCMOaAouCziUqNipwvxGUnr7igu0b7LtLG2QrXjhZEOnV5Xg5ObX9ptB15sVn7hbuxXSkKPDbsWnaJDtytXk7tv44v7mlu9V7sbX44v78SWY3Fy2nHpspwnFU2GXSTlnTda8DdZQVczFx4qzxWOSmn4yVdMMjg4ExVTd\/DoZ3zaGFMadpMXIyl5TlltrHrhUL2DHQQ91d\/LSkt67qi7iBhN+EXdHecOwl7xXk28P93ctAifpcsWrZMwlDo3qDcpZzhiYyi+dToA4GJh3nWkKe870w\/0e0bNV2VH2TX7aai24eb8m5Qw0yu0MZUb9Znv8y9XleHIxbhGavSRTlsasi9TIaMZFreT1+JI7dn2PfPm+UQtuqATSb+IfJtc3F39qm\/hVOs\/i750mnhhNfEtY8P8=\"><title id=\"nx-dag-a01-research-methods-ipcc-risk-t\">Analysis and uncertainty: risk as hazard, exposure and vulnerability<\/title><desc id=\"nx-dag-a01-research-methods-ipcc-risk-d\">Risk arises from the interaction of hazard, exposure and vulnerability (sensitivity and adaptive capacity); responses act on each driver and leave a residual risk that is monitored. 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=\"health\" 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\">Hazards and exposure in the Gulf of Mexico coast.<\/h2><p class=\"nx-lede\">For analysis and uncertainty, in GRA's spatial-finance reading, the map opens on population density, night lights and flood water with built-up and settlement extent from NASA GIBS, framed on the Gulf of Mexico coast; every other NASA layer, live feed and forecast waits in the layer 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=\"gulf-coast:risk\" data-ml-src=\"risk\" data-ml-plan=\"p-84f303f7\"><div class=\"nx-wm\" data-nx-water=\"ctx-risk\" data-wm-domain=\"ctx-risk\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"-98,24,-80,33\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"Hazards and exposure, the Gulf of Mexico coast: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"flood,people||||\" aria-pressed=\"false\">People and floods<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"flood,ntl||||\" aria-pressed=\"false\">Floods and lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl,people||||\" aria-pressed=\"false\">Lights and people<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">3<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Hazards and exposure, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"flood\" aria-pressed=\"true\" data-wm-z=\"22\" 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=\"lstd\" aria-pressed=\"false\" data-wm-z=\"23\" 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=\"true\" aria-pressed=\"false\" data-wm-z=\"24\" 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=\"false\" data-wm-z=\"25\" 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><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"tools\" aria-controls=\"nx-wm-menu\" aria-expanded=\"false\" aria-label=\"Expert tools\" title=\"Expert tools\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 4.5l10 0m-10 3.5 10 0m-10 3.5 10 0m-7.5-8.5 0 3m5 .5 0 3m-3.5.5 0 3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><span class=\"nx-wm-sep\" aria-hidden=\"true\"><\/span><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"in\" aria-label=\"Zoom in\" title=\"Zoom in\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 3v10M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"out\" aria-label=\"Zoom out\" title=\"Zoom out\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"reset\" aria-label=\"Reset the view\" title=\"Reset the view\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.2 8a4.8 4.8 0 1 0 1.5-3.5M3.2 2.6v2.6h2.6\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"xt\" data-wm-xt=\"6oPh6EhWj+gDMzpLLT8H\/wVfxJakWdyAB8snze2Nado=\">More expert tools<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>For analysis and uncertainty, in GRA's spatial-finance reading, the map opens on population density, night lights and flood water with built-up and settlement extent from NASA GIBS, framed on the Gulf of Mexico coast; every other NASA layer, live feed and forecast waits in the layer list.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 GDACS \u00b7 CIESIN\/Columbia, NASA SEDAC HBASE<\/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=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS 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.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-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: GDACS (EC JRC \/ UN OCHA) Events are indicative, not official warnings.<\/li><li>Context: CIESIN\/Columbia, NASA SEDAC HBASE. Center for International Earth Science Information Network (CIESIN), Columbia University, and NASA Socioeconomic Data and Applications Center (SEDAC): Global Human Built-up And Settlement Extent (HBASE) 2010; Seto, Guneralp and Hutyra 2012, Global Grid of Probabilities of Urban Expansion to 2030; Global Urban Heat Island (UHI) Data Set, 2013.<\/li><li>Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">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>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>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><\/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:\/\/gra\/A01\/research\/methods\/#map\" data-nxf-title=\"Insurance Nexus live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"finance\" 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:\/\/globalriskalliance.com\/insurance-nexus\/stem\/actuarial-math\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Actuarial mathematics<\/span><span class=\"nx-mledger-role\">Loss reserving with development triangles \u00b7 Experience rating and credibility<\/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\/actuarial-math\/\" aria-label=\"Actuarial mathematics: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/extreme-value\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Extreme value theory and tail risk<\/span><span class=\"nx-mledger-role\">Large-loss pricing for excess layers \u00b7 Tail measures for solvency capital<\/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\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Frequency and severity modelling \u00b7 Bayesian updating of assumptions<\/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\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/climate-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Climate and atmospheric science<\/span><span class=\"nx-mledger-role\">Climate-conditioned hazard catalogues \u00b7 Supervisory climate stress scenarios<\/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\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/ai-ml\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">05<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Artificial intelligence and machine learning<\/span><span class=\"nx-mledger-role\">Exposure enrichment from imagery \u00b7 Fraud and claims triage \u00b7 Fairness testing of pricing models<\/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\/ai-ml\/\" aria-label=\"Artificial intelligence and machine learning: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">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:\/\/gra\/A01\/research\/methods\/#evidence\" data-nxf-title=\"Evidence records\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-sec-pg-nx-gra-a01-me-actuarial\" 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\">Methods<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Actuarial and catastrophe methods, side by side.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th>Method<\/th><th>Strength<\/th><th>Limit<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Method\">Experience rating and credibility<\/td><td data-label=\"Strength\">Uses the portfolio's own loss record<\/td><td data-label=\"Limit\">Fails for rare perils and changing hazard<\/td><\/tr><tr><td data-label=\"Method\">Catastrophe modelling<\/td><td data-label=\"Strength\">Simulates many events, including ones never observed<\/td><td data-label=\"Limit\">Vulnerability curves and event-set assumptions dominate uncertainty<\/td><\/tr><tr><td data-label=\"Method\">Generalised linear models for pricing factors<\/td><td data-label=\"Strength\">Transparent rating structures<\/td><td data-label=\"Limit\">Assume a stable relationship between factors and loss<\/td><\/tr><tr><td data-label=\"Method\">Extreme value theory<\/td><td data-label=\"Strength\">Principled tail estimation from limited data<\/td><td data-label=\"Limit\">Sensitive to threshold choice and non-stationarity<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-nx-gra-a01-me-climate\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" data-variant=\"stack\" 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\">Non-stationarity<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">When the past is a biased sample.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Loss histories assume the hazard that produced them still applies. Where warming changes the frequency or intensity of a peril, historical burning cost becomes biased. Insurance Nexus methods therefore separate a trend-adjusted hazard view from the observed history and show both. The actuarial treatment continues at <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/topics\/climate-adjusted-pricing\/\">Actuarial and Quantitative Risk<\/a>; the climate science at GCRI climate projections.<\/p><\/div><\/div><\/section><section id=\"nx-sec-uncertainty\" class=\"nx-section\" data-hue=\"finance\" 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\" data-lv=\"timeline\"><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=\"climate\" 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\">Independent testing that a model performs as intended and is fit for a stated use.<\/td><\/tr><tr><td data-label=\"Term\">Actuarial mathematics<\/td><td data-label=\"Definition\">Actuarial mathematics applies probability, statistics and financial theory to measure and price contingent risks, particularly in insurance and pensions.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section\" data-hue=\"health\" 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\">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:\/\/oasislmf.org\/\" target=\"_blank\" rel=\"noopener\"><span>Oasis Loss Modelling Framework (open-source catastrophe modelling)<\/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.ipcc.ch\/assessment-report\/ar6\/\" target=\"_blank\" rel=\"noopener\"><span>IPCC AR6 Working Group I and II assessments<\/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=\"finance\" 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 Insurance Nexus.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/research\/sources\/\">Financial source and licence 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:\/\/globalriskalliance.com\/insurance-nexus\/\">Insurance Nexus 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:\/\/globalriskalliance.com\/insurance-nexus\/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:\/\/globalriskalliance.com\/\">The Global Risks Alliance 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:\/\/globalriskalliance.com\/trust\/\">GRA 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\">Insurance Nexus<\/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@globalriskalliance.com?subject=Insurance%20Nexus%3A%20Analysis%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:\/\/globalriskalliance.com\/insurance-nexus\/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:\/\/globalriskalliance.com\/insurance-nexus\/research\/methods\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskalliance.com\/insurance-nexus\/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:\/\/globalriskalliance.com\/insurance-nexus\/research\/methods\/#terms\",\"name\":\"Key terms: Analysis and uncertainty\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskalliance.com\/insurance-nexus\/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:\/\/globalriskalliance.com\/insurance-nexus\/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:\/\/globalriskalliance.com\/insurance-nexus\/research\/methods\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Model validation\",\"description\":\"Independent testing that a model performs as intended and is fit for a stated use.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskalliance.com\/insurance-nexus\/research\/methods\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Actuarial mathematics\",\"description\":\"Actuarial mathematics applies probability, statistics and financial theory to measure and price contingent risks, particularly in insurance and pensions.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskalliance.com\/insurance-nexus\/research\/methods\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:3958343fdc30d914 -->\n<!-- nx-path:\/research\/methods\/ -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto A01 \u00b7 EVIDENCE \u00b7 methodsGRA dossier \u00b7 service level R0 GRA\u00b7Insurance Nexus\u00b7Established Methods and uncertainty Analysis and uncertainty The methods Insurance Nexus relies on, the assumptions they carry and &hellip; <a href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/research\/methods\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Analysis and uncertainty&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":2074,"menu_order":795,"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-2087","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/pages\/2087","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/comments?post=2087"}],"version-history":[{"count":1,"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/pages\/2087\/revisions"}],"predecessor-version":[{"id":2135,"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/pages\/2087\/revisions\/2135"}],"up":[{"embeddable":true,"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/pages\/2074"}],"wp:attachment":[{"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/media?parent=2087"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}