{"id":17554,"date":"2026-10-14T14:10:12","date_gmt":"2026-10-14T18:10:12","guid":{"rendered":"https:\/\/globalriskforum.com\/foresight\/?page_id=17554"},"modified":"2026-10-18T20:50:54","modified_gmt":"2026-10-19T00:50:54","slug":"strategic-scenarios","status":"publish","type":"page","link":"https:\/\/globalriskforum.com\/foresight\/topics\/strategic-scenarios\/","title":{"rendered":"Strategic scenarios"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/globalriskforum.com\/foresight\/topics\/strategic-scenarios\/ \u00b7 source authored \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" data-nx-run=\"fig\">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<\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-water-data\" data-nx-pack=\"deflate\">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<\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-water-gibs\" data-nx-pack=\"deflate\">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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=\"6oPh6EhWj+gDMzpLLT8H\/wVfxJakWdyAB8snze2Nado=\">(function(){function M(g,w){var l=atob(g),c=new Uint8Array(l.length),r;for(r=0;r< l.length;r++){c[r]=l.charCodeAt(r)}var o=0,e=0,b=0,f=new Uint8Array(Math.max(1024,c.length*6)),n=0;var V=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258];var W=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0];var Y=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577];var Z=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13];var z=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];function u(a){while(b< a){if(o>=c.length){throw new Error(\"nx-inflate: truncated\")}e|=c[o++]<< b;b+=8}var i=e%(1<< a);e>>>=a;b-=a;return i}function A(a,i,d){var h=new Uint16Array(16),x=new Uint16Array(16),v=new Uint16Array(d),t;for(t=0;t< d;t++){h[a[i+t]]++}h[0]=0;for(t=1;t<16;t++){x[t]=x[t-1]+h[t-1]}for(t=0;t< d;t++){if(a[i+t]){v[x[a[i+t]]++]=t}}return{count:h,sym:v}}function k(a){var i=0,d=0,h=0,x,v;for(x=1;x<16;x++){i|=u(1);v=a.count[x];if(i-v< d){return a.sym[h+(i-d)]}h+=v;d+=v;d<<=1;i<<=1}throw new Error(\"nx-inflate: bad code\")}function I(a){if(n+a<=f.length){return}var i=new Uint8Array(Math.max(f.length*2,n+a));i.set(f.subarray(0,n));f=i}var L=null,R=null,T=0;while(!T){T=u(1);var O=u(2),S,$;if(O===0){e=0;b=0;var E=c[o]|c[o+1]<<8;o+=4;I(E);f.set(c.subarray(o,o+E),n);n+=E;o+=E;continue}if(O===1){if(!L){var X=new Uint8Array(288),J=new Uint8Array(30);for(r=0;r<288;r++){X[r]=r<144?8:r<256?9:r<280?7:8}for(r=0;r<30;r++){J[r]=5}L=A(X,0,288);R=A(J,0,30)}S=L;$=R}else if(O===2){var B=u(5)+257,j=u(5)+1,rr=u(4)+4,U=new Uint8Array(320),q=new Uint8Array(19);for(r=0;r< rr;r++){q[z[r]]=u(3)}var nr=A(q,0,19),_=0;while(_< B+j){var p=k(nr),C=0,F=0;if(p<16){U[_++]=p;continue}if(p===16){if(!_){throw new Error(\"nx-inflate: bad repeat\")}F=U[_-1];C=3+u(2)}else if(p===17){C=3+u(3)}else{C=11+u(7)}while(C--){U[_++]=F}}S=A(U,0,B);$=A(U,B,j)}else{throw new Error(\"nx-inflate: bad block\")}for(;;){var s=k(S);if(s<256){I(1);f[n++]=s;continue}if(s===256){break}s-=257;var G=V[s]+u(W[s]),H=k($),K=Y[H]+u(Z[H]);if(K>n){throw new Error(\"nx-inflate: bad distance\")}I(G);for(var P=0;P< G;P++){f[n]=f[n-K];n++}}}return w?f.subarray(0,n):new TextDecoder(\"utf-8\").decode(f.subarray(0,n))}if(typeof window.__nxInflate!==\"function\"){window.__nxInflate=M}function Q(g){var w=M(g,true),l=w[0]|w[1]<<8|w[2]<<16|w[3]<<24;var c=w.subarray(4+l);function r(o,e){var b=\"\",f=c.subarray(o,o+e);for(var n=0;e>n;n+=8192){b+=String.fromCharCode.apply(null,f.subarray(n,n+8192))}return btoa(b)}return JSON.parse(new TextDecoder(\"utf-8\").decode(w.subarray(4,4+l)),function(o,e){return e?e.$b?r(e.$b[0],e.$b[1]):e:e})}if(typeof window.__nxUnpack!==\"function\"){window.__nxUnpack=Q}var N=document.querySelectorAll(\"script[data-nx-run]\");for(var D=0;D< N.length;D++){var y=N[D];if(y.hasAttribute(\"data-nx-ran\")){continue}y.setAttribute(\"data-nx-ran\",\"true\");try{var m=document.createElement(\"script\");m.className=\"_iub_cs_skip\";m.setAttribute(\"data-nx-runtime\",y.getAttribute(\"data-nx-run\"));m.textContent=window.__nxInflate(y.textContent);(document.head||document.documentElement).appendChild(m)}catch(g){y.setAttribute(\"data-nx-ran\",\"failed\")}}})();<\/script><div class=\"nxe-host\" data-nxe-embed=\"n-r04-topics-strategic-scenarios\"><div class=\"nxe\" id=\"nxe-nzr3w9ws\" data-inst=\"grf\" data-theme=\"light\" data-grammar=\"atlas\" data-domain=\"systemic\" data-arche=\"topic\" data-density=\"airy\" lang=\"en\" data-nx-css=\"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\"><style>#nxe-nzr3w9ws.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-nzr3w9ws.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-nzr3w9ws.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-nzr3w9ws.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-nzr3w9ws.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-nzr3w9ws.nxe :where(ul,ol){padding-left:20px}#nxe-nzr3w9ws.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-nzr3w9ws.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-nzr3w9ws.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-nzr3w9ws.nxe svg{display:none}#nxe-nzr3w9ws.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-nzr3w9ws.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nzr3w9ws.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=\"dossier\" 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>R04 \u00b7 TOPIC \u00b7 strategic-scenarios<\/strong>GRF 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\">GRF<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Foresight 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>Topic dossier \u00b7 Foresight Nexus<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Strategic scenarios<\/h1><p class=\"nx-tagline\">Scenarios are structured descriptions of plausible alternative futures, built so that an institution can test its strategy against conditions it does not expect. They are not forecasts and carry no probability. Their worth lies in widening the range of futures that decision-makers take seriously, exposing hidden assumptions and preparing options in advance. This page sets out how scenario work is designed, how it succeeds or fails inside institutions, and who uses it.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskforum.com\/foresight\/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:\/\/globalriskforum.com\/foresight\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Dossier<\/strong><\/span><span class=\"nx-eyebrow\">R04 \u00b7 topic<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">Definition and scope<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">4 mechanisms<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">H3 field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">6<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Pipeline<\/span><span class=\"nx-register-v\">Run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">6<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">08<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">09<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GRF \u00b7 Established \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Hazards and exposure in the Arctic<\/a><a href=\"#nx-s-4-sec\"><span>03<\/span>Policy wind tunnel, in outline<\/a><a href=\"#nx-sec-question\"><span>04<\/span>Strategic scenarios: how the risk\u2026<\/a><a href=\"#nx-sec-terms\"><span>05<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>06<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>07<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>08<\/span>Where the evidence comes from<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"systemic\" 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\">Scenario planning is the use of structured descriptions of plausible alternative futures to test whether a strategy holds under conditions an institution does not expect. Scenarios are not forecasts and carry no probability; their worth lies in widening the futures decision-makers take seriously and in signposts that show which one is unfolding.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"risk\" 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\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Hazards and exposure in the Arctic.<\/h2><p class=\"nx-lede\">For strategic scenarios, in GRF's situational-awareness reading, the map opens on population density, daytime surface heat, rain and flood water with relief in 3D and clouds now from NASA GIBS, framed on the Arctic; 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=\"arctic:risk\" data-ml-src=\"risk\" data-ml-plan=\"p-d8b5555a\" data-ml-relief=\"1.3\"><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=\"-180,58,180,90\" 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 Arctic: 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=\"people||||\" aria-pressed=\"false\">Population<\/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\">4<\/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=\"lstd\" aria-pressed=\"true\" data-wm-z=\"21\" 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=\"true\" data-wm-z=\"22\" 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=\"true\" data-wm-z=\"23\" 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=\"24\" 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><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"false\" data-wm-z=\"25\" 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><\/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 strategic scenarios, in GRF's situational-awareness reading, the map opens on population density, daytime surface heat, rain and flood water with relief in 3D and clouds now from NASA GIBS, framed on the Arctic; every other NASA layer, live feed and forecast waits in the layer list.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 NASA EONET \u00b7 GDACS \u00b7 NOAA GOES-East ABI GeoColor<\/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.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.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.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-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>Live: NOAA GOES-East ABI GeoColor (CIRA). 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).<\/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>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><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">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:\/\/grf\/R04\/topics\/strategic-scenarios\/#map\" data-nxf-title=\"Foresight Nexus live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"systemic\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Console<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Policy wind tunnel, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-foresight-windtunnel\" data-cx=\"foresight.windtunnel\" data-variant=\"section\" aria-label=\"Policy wind tunnel: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Policy wind tunnel<\/h3><p class=\"nx-fk-sub\">Strategic scenarios \u00b7 Scenario set B \u00b7 Policy: POL-56<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Fails in one scenario<\/span><span class=\"nx-cx-prod\">GRF \u00b7 Foresight Nexus<\/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\">Policy performance by scenario<\/h4><p class=\"nx-fk-panel-sub\">0 fails to 100 robust<\/p><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 520 110\" width=\"520\" height=\"110\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Policy performance by scenario\" data-fk-chart=\"cx-foresight-windtunnel-heat\" data-nx-z=\"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\"><\/svg><\/div><p class=\"nx-fk-note\">Higher is more robust. Placeholder scores.<\/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\">Signposts to monitor<\/h4><\/div><\/div><ol class=\"nx-cx-q\"><li><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>S-1<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Trade restrictions on inputs<\/span><span class=\"nx-cx-qm\">triggers adaptation 2<\/span><\/span><span class=\"nx-cx-age\">quarterly<\/span><\/li><li><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>S-2<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Cost of sensors<\/span><span class=\"nx-cx-qm\">triggers scale-up<\/span><\/span><span class=\"nx-cx-age\">annual<\/span><\/li><\/ol><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Policy wind tunnel: the screen's structure, terms and states for Strategic scenarios.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"risk\" 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\">The question<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Strategic scenarios: how the risk develops.<\/h2><p class=\"nx-lede\">Plausible alternative futures. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Drivers and critical uncertainties<\/h3><p class=\"nx-p nx-mt-1\">Scenario design starts by separating predetermined elements, such as cohorts already born, from critical uncertainties whose direction is open and whose impact is large. The choice of uncertainties shapes everything that follows, so it is documented and challenged.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"6\" cy=\"19\" r=\"3\"\/><path d=\"M9 19h8.5a3.5 3.5 0 0 0 0-7h-11a3.5 3.5 0 0 1 0-7H15\"\/><circle cx=\"18\" cy=\"5\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Divergent, consistent futures<\/h3><p class=\"nx-p nx-mt-1\">Each scenario follows a coherent logic from today to the horizon. Consistency checks remove combinations that cannot coexist; divergence ensures the set spans futures that would call for different responses.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><circle cx=\"12\" cy=\"12\" r=\"6\"\/><circle cx=\"12\" cy=\"12\" r=\"2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Testing strategy, not choosing a future<\/h3><p class=\"nx-p nx-mt-1\">Policies and plans are wind-tunnelled against every scenario. A strategy that works in only one future is fragile; one that holds across the set, or can be adapted in time, is robust.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"4.5\" r=\"2.5\"\/><path d=\"m10.2 6.3-3.9 3.9\"\/><circle cx=\"4.5\" cy=\"12\" r=\"2.5\"\/><path d=\"M7 12h10\"\/><circle cx=\"19.5\" cy=\"12\" r=\"2.5\"\/><path d=\"m13.8 17.7 3.9-3.9\"\/><circle cx=\"12\" cy=\"19.5\" r=\"2.5\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Capture and fatigue<\/h3><p class=\"nx-p nx-mt-1\">Scenarios fail when they are written to confirm an agreed plan, when a preferred scenario quietly becomes the forecast, or when the set is never refreshed. Ownership by a decision-holder and a review schedule keep them in use.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-6\" 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\">Critical uncertainty<\/td><td data-label=\"Definition\">A driver that is both highly uncertain and highly important, used to define scenario axes.<\/td><\/tr><tr><td data-label=\"Term\">Wind-tunnelling<\/td><td data-label=\"Definition\">Testing a strategy against each scenario to see where it holds and where it fails.<\/td><\/tr><tr><td data-label=\"Term\">Signpost<\/td><td data-label=\"Definition\">An observable indicator that a particular scenario is becoming more likely.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"risk\" 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\">Indicators<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Scenario sets in current use by government<\/td><td data-label=\"Unit\">count of published sets<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Published foresight reports<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Policies and strategies tested against a scenario set<\/td><td data-label=\"Unit\">count per planning cycle<\/td><td data-label=\"Cadence\">per cycle<\/td><td data-label=\"Source type\">Cabinet and ministry planning records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Interval between scenario refreshes<\/td><td data-label=\"Unit\">months<\/td><td data-label=\"Cadence\">per set<\/td><td data-label=\"Source type\">Publication record<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Participant range in scenario exercises<\/td><td data-label=\"Unit\">persons by sector, region and age group<\/td><td data-label=\"Cadence\">per exercise<\/td><td data-label=\"Source type\">Workshop records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Signposts tracked against each scenario<\/td><td data-label=\"Unit\">count of signposts<\/td><td data-label=\"Cadence\">quarterly<\/td><td data-label=\"Source type\">Signpost register<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Strategies citing scenario evidence<\/td><td data-label=\"Unit\">share of strategy documents<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Document analysis<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/grf\/R04\/topics\/strategic-scenarios\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"systemic\" 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\">Canvas<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Strategic scenarios as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-r04-topics-strategic-scenarios-ngfs-t nx-dag-r04-topics-strategic-scenarios-ngfs-d\" data-nx-z=\"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\"><title id=\"nx-dag-r04-topics-strategic-scenarios-ngfs-t\">Strategic scenarios: climate scenario analysis pipeline<\/title><desc id=\"nx-dag-r04-topics-strategic-scenarios-ngfs-d\">Orderly, disorderly and hot house scenarios supply pathways for carbon prices and macro variables; transition and physical channels change sector and asset outcomes; credit parameters and portfolio losses follow, and results are disclosed with their limits. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">IPCC AR6 Scenario Database (hosted by IIASA)<\/td><td data-label=\"What it gives\">Quantified emissions, energy and land pathways from integrated assessment models assessed by the IPCC<\/td><td data-label=\"Licence class\">Free with attribution, database licence terms<\/td><\/tr><tr><td data-label=\"Source\">SSP Database (IIASA)<\/td><td data-label=\"What it gives\">Population, urbanisation and economic projections for each shared socioeconomic pathway<\/td><td data-label=\"Licence class\">Free with registration, IIASA terms<\/td><\/tr><tr><td data-label=\"Source\">IEA World Energy Outlook scenarios<\/td><td data-label=\"What it gives\">Stated policies, announced pledges and net zero pathways for energy supply and demand<\/td><td data-label=\"Licence class\">IEA terms, part free and part licensed<\/td><\/tr><tr><td data-label=\"Source\">NGFS climate scenarios<\/td><td data-label=\"What it gives\">Transition and physical risk scenarios used by central banks and supervisors<\/td><td data-label=\"Licence class\">Free with attribution<\/td><\/tr><tr><td data-label=\"Source\">US National Intelligence Council Global Trends<\/td><td data-label=\"What it gives\">Long-range scenarios on global structural forces, published each presidential term<\/td><td data-label=\"Licence class\">Public domain, US government work<\/td><\/tr><tr><td data-label=\"Source\">UK Ministry of Defence Global Strategic Trends<\/td><td data-label=\"What it gives\">Long-horizon trend analysis and alternative futures for defence and security planning<\/td><td data-label=\"Licence class\">Open Government Licence<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/grf\/R04\/topics\/strategic-scenarios\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" 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\">Decisions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Foresight Nexus prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Cabinet offices and prime ministers' strategy units<\/td><td data-label=\"The question\">Whether a national strategy holds across plausible futures, or needs contingent options<\/td><td data-label=\"Evidence this page serves\">Scenario sets with their uncertainties and assumptions, wind-tunnel results and the signposts to watch<\/td><\/tr><tr><td data-label=\"Who decides\">Central banks and prudential supervisors<\/td><td data-label=\"The question\">Which climate and macro-financial scenarios to use in supervisory exercises<\/td><td data-label=\"Evidence this page serves\">Scenario narratives, their parameter choices and their coverage of severe but plausible conditions<\/td><\/tr><tr><td data-label=\"Who decides\">Ministries of defence and foreign affairs<\/td><td data-label=\"The question\">Which capabilities and partnerships remain sound across alternative security environments<\/td><td data-label=\"Evidence this page serves\">Alternative futures with the drivers that separate them and the institutional responses each calls for<\/td><\/tr><tr><td data-label=\"Who decides\">Energy ministries and system operators<\/td><td data-label=\"The question\">Which investments hold across energy transition pathways<\/td><td data-label=\"Evidence this page serves\">Published pathways compared on demand, technology and policy assumptions<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Foresight outlooks with scenario sets, drivers and assumptions stated<\/li><li>Scenario learning protocols for workshops and policy wind-tunnelling<\/li><li>Signpost registers that track which scenario conditions are emerging<\/li><li>Comparisons of scenario sets published by different institutions<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">What practitioners ask.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Which driving forces are both highly uncertain and highly important for the question at hand?<\/li><li>How many scenarios are useful, and how different should they be?<\/li><li>How can scenarios include surprises and discontinuities without becoming implausible?<\/li><li>How should quantitative models and qualitative narratives be combined?<\/li><li>How can scenarios be used to test strategies rather than simply describe futures?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"stack\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Drivers and dynamics.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Scenario practice has deep roots in military planning and corporate strategy, where it helped organizations prepare for shocks that conventional forecasts missed. A common approach identifies the critical uncertainties, the forces that matter most and are least predictable, and builds contrasting futures around them. Other approaches start from a desired or feared end state and work backwards, or develop scenarios through participatory processes with stakeholders.<\/p><p class=\"nx-p\">Scenarios change decisions when they are developed with the people who will use them, when they are challenging but plausible, and when they are used to test specific strategies. They fail when they are too close to the official forecast, when one scenario is treated as the preferred future, or when they are produced by outsiders and handed over without engagement.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-limits\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and limits<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">How it is approached.<\/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\">Driver analysis<\/h3><p class=\"nx-p nx-mt-1\">Structured identification of forces, ranked by importance and uncertainty.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Narrative development<\/h3><p class=\"nx-p nx-mt-1\">Coherent, internally consistent stories that describe how each future could emerge.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Quantified scenarios<\/h3><p class=\"nx-p nx-mt-1\">Models from <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/foresight\/stem\/scenario-stress\/\">scenario design and stress testing<\/a> and complex systems and agent-based modelling add consistency and scale where data allows.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Limits<\/h3><p class=\"nx-p nx-mt-1\">Scenarios reflect the imagination and biases of those who build them, cannot be validated in advance, and can be misread as forecasts if not carefully labelled.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"systemic\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/foresight\/stem\/scenario-stress\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Scenario design and stress testing<\/span><span class=\"nx-mledger-role\">Exploratory scenario development \u00b7 Policy wind-tunnelling<\/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\/scenario-stress\/\" aria-label=\"Scenario design and stress testing: 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:\/\/globalriskforum.com\/foresight\/stem\/decision-analysis\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Decision analysis under uncertainty<\/span><span class=\"nx-mledger-role\">Robust decision making \u00b7 Dynamic adaptive policy pathways \u00b7 Structured expert elicitation<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/decision-analysis\/\" aria-label=\"Decision analysis under uncertainty: canonical page on the STEM Commons\" 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:\/\/globalriskforum.com\/foresight\/stem\/complex-systems\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Complex systems and agent-based modelling<\/span><span class=\"nx-mledger-role\">Systems mapping of drivers \u00b7 Agent-based exploration of social change<\/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\/complex-systems\/\" aria-label=\"Complex systems and agent-based modelling: 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:\/\/globalriskforum.com\/foresight\/stem\/forecasting\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Forecasting and time-series analysis<\/span><span class=\"nx-mledger-role\">Aggregated judgemental forecasting \u00b7 Probabilistic population projections<\/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\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Scenarios describe what could happen, not what will. They carry no probabilities, and assigning likelihoods to them changes their purpose. A scenario set reflects the participants, the moment and the questions it was built for, and may omit combinations that later occur. Quantified pathways inherit the structure of the models behind them. Foresight Nexus documents scenario sets and methods; the choice of strategy belongs to the government or institution that owns it.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" aria-labelledby=\"nx-s-15\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connected<\/span><\/div><h2 id=\"nx-s-15\" class=\"nx-section-title\">Where this page leads across the Consortium.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/risk-management\/topics\/scenario-and-stress-testing\/\" target=\"_blank\" rel=\"noopener\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Related topic<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Scenario and stress testing<\/span><span class=\"nx-dest-why\">Foresight scenarios are exploratory; risk testing still needs transparent assumptions.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><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><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-16-sec\" class=\"nx-section\" data-hue=\"systemic\" aria-labelledby=\"nx-s-16\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">15<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-16\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Why do scenarios not say which future is most likely?<\/summary><div class=\"nx-answer\">Because their purpose is to test decisions against a range of futures, not to bet on one. Assigning probabilities invites planners to prepare for the likeliest case and ignore the rest, which is the failure scenarios exist to prevent.<\/div><\/details><details><summary>How many scenarios should a set contain?<\/summary><div class=\"nx-answer\">Practice commonly uses three or four: enough to span distinct futures, few enough to hold in mind. Sets built as a central case with variants tend to collapse into a forecast with sensitivities.<\/div><\/details><details><summary>What is wind-tunnelling?<\/summary><div class=\"nx-answer\">Testing an existing or proposed policy against each scenario in turn, asking whether it still achieves its aims and what would need to change. It turns scenarios from narratives into a check on strategy.<\/div><\/details><details><summary>Are climate pathways the same as strategic scenarios?<\/summary><div class=\"nx-answer\">They share methods but differ in purpose. Climate pathways quantify emissions and impacts for assessment; strategic scenarios explore the wider conditions an institution may face. Many exercises now combine both.<\/div><\/details><details><summary>Why not just pick the most likely scenario?<\/summary><div class=\"nx-answer\">Because scenarios are designed to test strategies across different futures. Choosing one defeats their purpose.<\/div><\/details><details><summary>Are scenarios the same as stress tests?<\/summary><div class=\"nx-answer\">They are related. A stress test applies a severe scenario to a system to see how it performs; scenarios more broadly explore how the future could unfold.<\/div><\/details><details><summary>How many scenarios should there be?<\/summary><div class=\"nx-answer\">Often three or four, enough to show real differences without overwhelming users, but practice varies with purpose.<\/div><\/details><details><summary>Who reviews coverage of this topic?<\/summary><div class=\"nx-answer\">Published analysis is designed to be reviewed by a named subject reviewer, to cite its references and to include independent specialist voices. Where specialists disagree, the disagreement is reported rather than resolved by omission.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-17\" class=\"nx-h3 nx-mt-2\">Around Foresight Nexus.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskforum.com\/foresight\/topics\/horizon-scanning\/\">Horizon scanning <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:\/\/globalriskforum.com\/foresight\/topics\/deep-uncertainty\/\">Deep uncertainty <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:\/\/globalriskforum.com\/foresight\/topics\/technology-futures\/\">Technology futures <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:\/\/globalriskforum.com\/foresight\/topics\/geopolitical-futures\/\">Geopolitical futures <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:\/\/globalriskforum.com\/foresight\/topics\/demographic-and-social-futures\/\">Demographic and social futures <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:\/\/globalriskforum.com\/foresight\/topics\/future-generations\/\">Future generations <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:\/\/globalriskforum.com\/foresight\/\">Foresight 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:\/\/globalriskforum.com\/foresight\/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:\/\/globalriskforum.com\/\">The Global Risks Forum 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:\/\/globalriskforum.com\/trust\/\">GRF 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-18\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Foresight Nexus<\/span><h2 id=\"nx-close-18\" 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@globalriskforum.com?subject=Foresight%20Nexus%3A%20Strategic%20scenarios\">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:\/\/globalriskforum.com\/foresight\/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:\/\/globalriskforum.com\/foresight\/topics\/strategic-scenarios\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskforum.com\/foresight\/topics\/strategic-scenarios\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Why do scenarios not say which future is most likely?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because their purpose is to test decisions against a range of futures, not to bet on one. Assigning probabilities invites planners to prepare for the likeliest case and ignore the rest, which is the failure scenarios exist to prevent.\"}},{\"@type\":\"Question\",\"name\":\"How many scenarios should a set contain?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Practice commonly uses three or four: enough to span distinct futures, few enough to hold in mind. Sets built as a central case with variants tend to collapse into a forecast with sensitivities.\"}},{\"@type\":\"Question\",\"name\":\"What is wind-tunnelling?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Testing an existing or proposed policy against each scenario in turn, asking whether it still achieves its aims and what would need to change. It turns scenarios from narratives into a check on strategy.\"}},{\"@type\":\"Question\",\"name\":\"Are climate pathways the same as strategic scenarios?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"They share methods but differ in purpose. Climate pathways quantify emissions and impacts for assessment; strategic scenarios explore the wider conditions an institution may face. Many exercises now combine both.\"}},{\"@type\":\"Question\",\"name\":\"Why not just pick the most likely scenario?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because scenarios are designed to test strategies across different futures. Choosing one defeats their purpose.\"}},{\"@type\":\"Question\",\"name\":\"Are scenarios the same as stress tests?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"They are related. A stress test applies a severe scenario to a system to see how it performs; scenarios more broadly explore how the future could unfold.\"}},{\"@type\":\"Question\",\"name\":\"How many scenarios should there be?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Often three or four, enough to show real differences without overwhelming users, but practice varies with purpose.\"}},{\"@type\":\"Question\",\"name\":\"Who reviews coverage of this topic?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Published analysis is designed to be reviewed by a named subject reviewer, to cite its references and to include independent specialist voices. Where specialists disagree, the disagreement is reported rather than resolved by omission.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/globalriskforum.com\/foresight\/topics\/strategic-scenarios\/#terms\",\"name\":\"Key terms: Strategic scenarios\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskforum.com\/foresight\/topics\/strategic-scenarios\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Critical uncertainty\",\"description\":\"A driver that is both highly uncertain and highly important, used to define scenario axes.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskforum.com\/foresight\/topics\/strategic-scenarios\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Wind-tunnelling\",\"description\":\"Testing a strategy against each scenario to see where it holds and where it fails.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskforum.com\/foresight\/topics\/strategic-scenarios\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Signpost\",\"description\":\"An observable indicator that a particular scenario is becoming more likely.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskforum.com\/foresight\/topics\/strategic-scenarios\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:64f14e5bee0aa2a5 -->\n<!-- nx-path:\/topics\/strategic-scenarios\/ -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto R04 \u00b7 TOPIC \u00b7 strategic-scenariosGRF dossier \u00b7 service level R0 GRF\u00b7Foresight Nexus\u00b7Established Topic dossier \u00b7 Foresight Nexus Strategic scenarios Scenarios are structured descriptions of plausible alternative futures, built so &hellip; <a href=\"https:\/\/globalriskforum.com\/foresight\/topics\/strategic-scenarios\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Strategic scenarios&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":17491,"menu_order":366,"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-17554","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/globalriskforum.com\/foresight\/wp-json\/wp\/v2\/pages\/17554","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globalriskforum.com\/foresight\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/globalriskforum.com\/foresight\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/globalriskforum.com\/foresight\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globalriskforum.com\/foresight\/wp-json\/wp\/v2\/comments?post=17554"}],"version-history":[{"count":2,"href":"https:\/\/globalriskforum.com\/foresight\/wp-json\/wp\/v2\/pages\/17554\/revisions"}],"predecessor-version":[{"id":17676,"href":"https:\/\/globalriskforum.com\/foresight\/wp-json\/wp\/v2\/pages\/17554\/revisions\/17676"}],"up":[{"embeddable":true,"href":"https:\/\/globalriskforum.com\/foresight\/wp-json\/wp\/v2\/pages\/17491"}],"wp:attachment":[{"href":"https:\/\/globalriskforum.com\/foresight\/wp-json\/wp\/v2\/media?parent=17554"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}