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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-ndh84cny.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=\"editorial\" 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>A-P04 \u00b7 TOPIC \u00b7 model-and-measurement-gaps<\/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\">Climate and Nature Financial Risk<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Climate and Nature Financial Risk<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Model and measurement gaps<\/h1><p class=\"nx-tagline\">Climate and nature financial risk is measured with models that leave much out: tipping points, compound and cascading events, nature, social and political responses, and the feedback between finance and the economy. Gaps can lead institutions and supervisors to understate risk. This page sets out where the main gaps are, how they arise, what research is closing them, and who decides how to treat what is unknown.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/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\/climate-nature-financial-risk\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\" data-variant=\"contents\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>In this dossier<\/strong><\/span><span class=\"nx-eyebrow\">7 parts<\/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\">The short answer<\/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\">Model and measurement gaps: how the risk develops<\/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\">Terms used on this page<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\">What is measured, and how well<\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Canvas<\/span><span class=\"nx-register-v\">From sources to decisions<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\">Where the evidence comes from<\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Decisions<\/span><span class=\"nx-register-v\">Who decides, and what the evidence serves<\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GRA \u00b7 In development \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>From a satellite tile to an exposure\u2026<\/a><a href=\"#nx-s-4-sec\"><span>03<\/span>Nature risk screening, in outline<\/a><a href=\"#nx-sec-question\"><span>04<\/span>Model and measurement gaps: how the\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=\"climate\" 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\">Climate financial model gaps are the parts of climate and nature risk that current models omit or simplify, such as tipping points, compound events, nature and feedback between finance and the economy. Gaps can lead to understated risk. Supervisors, risk functions, research funders and boards decide how to treat them.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"biodiversity\" 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\">Spatial finance<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">From a satellite tile to an exposure update.<\/h2><p class=\"nx-lede\">How satellite radar turns a flood into an exposure update. Synthetic scene; no real event or place.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><figure class=\"nx-fk nx-sf\" data-fk=\"geoai-eo\" data-gl=\"sf:geoai-eo\" data-sf=\"geoai-eo\" data-sx-credit=\"synthetic scene and schematic model\" data-sx-src=\"Synthetic scene ~ illustrative, not data\" data-sf-learn-views=\"pipeline pr\" aria-label=\"Interactive figure: the four steps of a flood mapping workflow on a synthetic radar scene, from the tile to the detected flood and an update of affected buildings. The panel steps through or plays the sequence.\" data-nx-z=\"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\"><figcaption class=\"nx-fk-cap\"><span>How satellite radar maps a flood and updates the count of affected buildings.<\/span><span data-honesty=\"true\">Synthetic scene and schematic model; no real event or place.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gra\/A-P04\/topics\/model-and-measurement-gaps\/#map\" data-nxf-title=\"Climate and Nature Financial Risk live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"finance\" 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\">Nature risk screening, 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-climfin-nature\" data-cx=\"climfin.nature\" data-variant=\"section\" aria-label=\"Nature risk screening: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Nature risk screening<\/h3><p class=\"nx-fk-sub\">Model and measurement gaps \u00b7 Nature-sensitive sectors \u00b7 LEAP cycle 2<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Evaluate phase<\/span><span class=\"nx-cx-prod\">GRA \u00b7 Climate and Nature Financial Risk<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"steps\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">LEAP<\/h4><\/div><\/div><ol class=\"nx-cx-steps\" data-n=\"4\"><li data-st=\"done\"><span class=\"nx-cx-sn\">Locate<\/span><span class=\"nx-cx-snote\">borrower sites<\/span><\/li><li data-st=\"now\"><span class=\"nx-cx-sn\">Evaluate<\/span><span class=\"nx-cx-snote\">dependencies \u00b7 impacts<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Assess<\/span><span class=\"nx-cx-snote\">credit and reputational risk<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Prepare<\/span><span class=\"nx-cx-snote\">targets \u00b7 disclosure<\/span><\/li><\/ol><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Dependencies by sector<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-climfin-nature-t1\"><table class=\"nx-fk-table\" data-fk-table=\"cx-climfin-nature-t1\" aria-label=\"Dependencies by sector\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Sector<\/button><\/th><th scope=\"col\" data-col=\"c1\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Exposure (local bn)<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Water<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Pollination<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Soil<\/button><\/th><th scope=\"col\" data-col=\"c5\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c5\">Materiality<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-climfin-nature:r1-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Agriculture<\/td><td data-num=\"true\" data-sv=\"3\">3<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><\/tr><tr data-fk-key=\"cx-climfin-nature:r1-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Food processing<\/td><td data-num=\"true\" data-sv=\"1\">1<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Medium<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Medium<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Medium<\/span><\/td><\/tr><tr data-fk-key=\"cx-climfin-nature:r1-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Mining<\/td><td data-num=\"true\" data-sv=\"1\">1<\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Low<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Medium<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Medium<\/span><\/td><\/tr><tr data-fk-key=\"cx-climfin-nature:r1-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Real estate<\/td><td data-num=\"true\" data-sv=\"15\">15<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Medium<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Low<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Low<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Low<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Nature risk screening: the screen's structure, terms and states for Model and measurement gaps.<\/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=\"climate\" data-tone=\"alt\" data-variant=\"split\" 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\">Model and measurement gaps: how the risk develops.<\/h2><p class=\"nx-lede\">Geolocation, uncertainty and aggregation. 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=\"M22 12h-2.48a2 2 0 0 0-1.93 1.46l-2.35 8.36a.25.25 0 0 1-.48 0L9.24 2.18a.25.25 0 0 0-.48 0l-2.35 8.36A2 2 0 0 1 4.49 12H2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Tipping points are excluded<\/h3><p class=\"nx-p nx-mt-1\">Abrupt changes such as ice sheet loss or forest dieback are rarely in economic damage functions, so severe outcomes are underweighted.<\/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\">Compound events are missed<\/h3><p class=\"nx-p nx-mt-1\">Simultaneous or sequential hazards, such as drought then fire, and their effects on supply chains are harder to model than single perils.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"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\">Second-round effects are thin<\/h3><p class=\"nx-p nx-mt-1\">Few models capture how financial losses reduce lending, which slows the economy and raises losses further.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M2 12s3-7 10-7 10 7 10 7-3 7-10 7-10-7-10-7Z\"\/><circle cx=\"12\" cy=\"12\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">False precision<\/h3><p class=\"nx-p nx-mt-1\">Point estimates from complex chains of models look precise. Without uncertainty ranges, users treat them as more reliable than they are.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"biodiversity\" data-tone=\"alt\" data-variant=\"inset\" 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\">Tipping point<\/td><td data-label=\"Definition\">A threshold beyond which a system changes abruptly and often irreversibly.<\/td><\/tr><tr><td data-label=\"Term\">Compound event<\/td><td data-label=\"Definition\">A combination of hazards occurring together or in sequence with amplified impact.<\/td><\/tr><tr><td data-label=\"Term\">False precision<\/td><td data-label=\"Definition\">Presenting an uncertain estimate with more precision than the evidence supports.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"finance\" 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 exercises including tipping points<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Supervisor and research publications<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Disagreement between physical risk providers<\/td><td data-label=\"Unit\">correlation of scores<\/td><td data-label=\"Cadence\">per study<\/td><td data-label=\"Source type\">Comparison studies<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Models with second-round effects<\/td><td data-label=\"Unit\">count in supervisory exercises<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Exercise documentation<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Nature risk metrics in use<\/td><td data-label=\"Unit\">count by framework<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Framework reviews<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Uncertainty ranges reported with results<\/td><td data-label=\"Unit\">share of published results<\/td><td data-label=\"Cadence\">per review<\/td><td data-label=\"Source type\">Disclosure reviews<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Research outputs on climate-financial modelling<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Bibliographic databases<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gra\/A-P04\/topics\/model-and-measurement-gaps\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-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 Model and measurement gaps 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-a-p04-topics-model-and-measurement-gaps-n-t nx-dag-a-p04-topics-model-and-measurement-gaps-n-d\" data-nx-z=\"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\"><title id=\"nx-dag-a-p04-topics-model-and-measurement-gaps-n-t\">Model and measurement gaps: climate scenario analysis pipeline<\/title><desc id=\"nx-dag-a-p04-topics-model-and-measurement-gaps-n-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=\"biodiversity\" data-tone=\"alt\" data-variant=\"stack\" 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\">NGFS technical documentation and research<\/td><td data-label=\"What it gives\">Scenario limitations and research agenda<\/td><td data-label=\"Licence class\">Free, NGFS terms<\/td><\/tr><tr><td data-label=\"Source\">IPCC Sixth Assessment Report chapters on tipping points and compound events<\/td><td data-label=\"What it gives\">Assessed evidence on low-likelihood high-impact outcomes<\/td><td data-label=\"Licence class\">Free, IPCC terms<\/td><\/tr><tr><td data-label=\"Source\">Institute and Faculty of Actuaries reports on climate scenarios<\/td><td data-label=\"What it gives\">Critiques of scenario damage estimates<\/td><td data-label=\"Licence class\">Free to read, terms to check<\/td><\/tr><tr><td data-label=\"Source\">FSB and BCBS reports on climate data and methodologies<\/td><td data-label=\"What it gives\">Gaps in data and methods<\/td><td data-label=\"Licence class\">Free, FSB and BIS terms<\/td><\/tr><tr><td data-label=\"Source\">Academic comparisons of physical risk scores<\/td><td data-label=\"What it gives\">Divergence among providers<\/td><td data-label=\"Licence class\">Free to read, terms per publisher<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gra\/A-P04\/topics\/model-and-measurement-gaps\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"finance\" 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\">Climate and Nature Financial Risk 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\">Supervisors and the NGFS<\/td><td data-label=\"The question\">How to incorporate tail risks and second-round effects<\/td><td data-label=\"Evidence this page serves\">Research findings and exercise experience<\/td><\/tr><tr><td data-label=\"Who decides\">Risk functions<\/td><td data-label=\"The question\">How much judgement overlay to apply to model results<\/td><td data-label=\"Evidence this page serves\">Gap analysis and uncertainty evidence<\/td><\/tr><tr><td data-label=\"Who decides\">Research funders<\/td><td data-label=\"The question\">Which modelling gaps to prioritise<\/td><td data-label=\"Evidence this page serves\">Gap assessments and user needs<\/td><\/tr><tr><td data-label=\"Who decides\">Boards<\/td><td data-label=\"The question\">How to use results whose uncertainty is large<\/td><td data-label=\"Evidence this page serves\">Ranges, scenario spreads and limitations<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Guide to known gaps in climate-financial models<\/li><li>Method note on presenting uncertainty with model results<\/li><li>Brief on tipping points and compound events for financial users<\/li><li>Questions for boards relying on model output<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" data-variant=\"inset\" 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 model validators ask.<\/h2><\/div><div class=\"nx-section-body\" data-lv=\"columns\"><ul class=\"nx-list\"><li>How accurately are exposed assets located, and how much does location error change results?<\/li><li>How is uncertainty in hazards, damage functions and scenarios propagated and reported?<\/li><li>Does aggregation across assets and portfolios hide concentration or create false precision?<\/li><li>How are models validated when the future differs from the past?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"biodiversity\" 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\">Where errors enter.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Physical risk depends on precise location: a few metres of elevation can determine whether a building floods. Yet financial data often record only an address, a postcode or a company headquarters rather than the operating assets. Hazard data vary in resolution and may not reflect future climate. Damage functions relating hazard to loss are uncertain and often derived from limited data.<\/p><p class=\"nx-p nx-mt-2\">Errors compound as models are chained: climate projections feed hazard models, which feed damage models, which feed financial models. Aggregating results into a single score can conceal both the uncertainty and the concentration that matter most.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"stack\" 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 data<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">Addressing the gaps.<\/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\">Geolocation improvement<\/h3><p class=\"nx-p nx-mt-1\">Linking assets to precise locations, using <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/stem\/spatial-statistics\/\">spatial statistics and geostatistics<\/a> and Earth observation. Coverage remains incomplete.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Uncertainty quantification<\/h3><p class=\"nx-p nx-mt-1\">Reporting ranges and sensitivity rather than single values. Communicating uncertainty clearly is difficult.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Model validation<\/h3><p class=\"nx-p nx-mt-1\">Comparing models with observed losses and with each other, using <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/stem\/scenario-stress\/\">scenario design and stress testing<\/a>. Validation against the future is impossible.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Aggregation review<\/h3><p class=\"nx-p nx-mt-1\">Checking whether aggregation hides concentration or tail risk.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"climate\" 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:\/\/globalriskalliance.com\/climate-nature-financial-risk\/stem\/climate-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Climate and atmospheric science<\/span><span class=\"nx-mledger-role\">Hazard projections for portfolios \u00b7 Tail and compound hazards \u00b7 Scenario physical variables<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/climate-science\/\" aria-label=\"Climate and atmospheric science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/stem\/scenario-stress\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Scenario design and stress testing<\/span><span class=\"nx-mledger-role\">Translating NGFS scenarios \u00b7 Short-term climate scenarios \u00b7 Dynamic balance sheets<\/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\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/stem\/ecology\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Ecology and biodiversity science<\/span><span class=\"nx-mledger-role\">Ecosystem service dependency \u00b7 Ecosystem condition at asset sites \u00b7 Thresholds and regime shifts<\/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\/ecology\/\" aria-label=\"Ecology and biodiversity science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/stem\/spatial-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Spatial statistics and geostatistics<\/span><span class=\"nx-mledger-role\">Geolocating exposures \u00b7 Aggregating location risk \u00b7 Resolution sensitivity<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/spatial-statistics\/\" aria-label=\"Spatial statistics and geostatistics: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/stem\/financial-economics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">05<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Financial economics and macro-finance<\/span><span class=\"nx-mledger-role\">Credit risk transmission \u00b7 Market pricing studies \u00b7 Cross-sector transmission<\/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\/financial-economics\/\" aria-label=\"Financial economics and macro-finance: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Knowledge of tipping points and compound events is limited and probabilities are uncertain. Research is moving fast and assessments date. Gap assessments themselves rely on judgement. Climate and Nature Financial Risk explains gaps and methods; it does not quantify any institution's exposure or give investment advice.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"biodiversity\" 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\">Questions<\/span><\/div><h2 id=\"nx-s-15\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Why might climate stress tests understate risk?<\/summary><div class=\"nx-answer\">Because many damage functions omit tipping points and compound events, balance sheets are held static and second-round effects are limited. Supervisors and actuarial bodies have noted these gaps.<\/div><\/details><details><summary>What is a compound event?<\/summary><div class=\"nx-answer\">A combination of hazards occurring together or in sequence, such as heat and drought, whose combined impact exceeds the sum of each alone.<\/div><\/details><details><summary>How should uncertain results be used?<\/summary><div class=\"nx-answer\">With ranges and scenarios shown, judgement documented and decisions tested for robustness across outcomes, not optimised for one point estimate.<\/div><\/details><details><summary>Why does asset location matter so much?<\/summary><div class=\"nx-answer\">Because physical hazards vary over short distances. A small location error can change estimated exposure substantially.<\/div><\/details><details><summary>What is false precision?<\/summary><div class=\"nx-answer\">Presenting uncertain results as exact numbers or scores, which can lead decision-makers to place more confidence in them than is justified.<\/div><\/details><details><summary>Does the platform validate commercial models?<\/summary><div class=\"nx-answer\">No. It publishes guidance on model and measurement gaps and does not assess or endorse any model or vendor.<\/div><\/details><details><summary>Can models be validated for future climate?<\/summary><div class=\"nx-answer\">Not directly. They can be tested against past events, compared with each other and checked for plausibility, with their limits stated.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-16\" class=\"nx-h3 nx-mt-2\">Around Climate and Nature Financial Risk.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/topics\/physical-climate-risk\/\">Physical climate risk <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\/climate-nature-financial-risk\/topics\/transition-risk\/\">Transition risk <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\/climate-nature-financial-risk\/topics\/nature-dependencies\/\">Nature dependencies <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\/climate-nature-financial-risk\/topics\/scenario-analysis\/\">Scenario analysis <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\/climate-nature-financial-risk\/topics\/insurance-bank-investment-effects\/\">Insurance bank investment effects <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\/climate-nature-financial-risk\/topics\/disclosure-and-data\/\">Disclosure and data <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\/climate-nature-financial-risk\/\">Climate and Nature Financial Risk 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\/climate-nature-financial-risk\/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-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Climate and Nature Financial Risk<\/span><h2 id=\"nx-close-17\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. 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