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aria-labelledby=\"nx-scene-title\"><div class=\"nx-scene-intro nx-es-intro\"><p class=\"nx-eyebrow\"><abbr title=\"The Global Centre for Risk and Innovation\">GCRI<\/abbr> \u00b7 Reports<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Scenarios and methods<\/h1><p class=\"nx-scene-lede\">Scenarios and methods reports set out the analytical machinery behind the series: scenario frameworks, models, statistical methods and the assumptions that drive them. A scenario is a coherent account of a possible future, not a prediction, and its value depends on whether readers can see and test what went into it. This page sets out how analytical studies are documented, reviewed and reproduced, and how their uncertainty is stated.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/nexus-reports\/write-to-us\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/nexus-reports\/topics\/\">Back to Topics<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-1\"><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\">Register<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">Scenarios and methods on the record.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"fieldmap\"><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\">Reports \u00b7 topic<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">4 mechanisms<\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">hexagonal field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">03<\/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-sources\"><span class=\"nx-register-n\">04<\/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\">05<\/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\">06<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><\/ol><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-1\" data-hue=\"project\" aria-label=\"The question, Monitor, In the five domains, Simulator\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"The question, Monitor, In the five domains, Simulator\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-question\" aria-selected=\"true\" data-key=\"p1\">The question<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-s-3-sec\" aria-selected=\"false\" data-key=\"p2\">Monitor<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-sec-pg-in-the-domains\" aria-selected=\"false\" data-key=\"p3\">In the five domains<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-4\" aria-controls=\"nx-sec-instrument\" aria-selected=\"false\" data-key=\"p4\">Simulator<\/button><\/div><section id=\"nx-sec-question\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"split\" aria-labelledby=\"nx-s-2\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-1\"><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\">The question<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">Scenarios and methods: how the risk develops.<\/h2><p class=\"nx-lede\">Transparent analytical studies. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M14 2v4a2 2 0 0 0 2 2h4\"\/><path d=\"M4.268 21a2 2 0 0 0 1.727 1H18a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v3\"\/><path d=\"m9 18-1.5-1.5\"\/><circle cx=\"5\" cy=\"14\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Hidden assumptions<\/h3><p class=\"nx-p nx-mt-1\">Discount rates, baselines, elasticities and exposure data can drive results more than the model does. When assumptions sit in code rather than in the text, reviewers cannot test what matters most.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"6\" cy=\"19\" r=\"3\"\/><path d=\"M9 19h8.5a3.5 3.5 0 0 0 0-7h-11a3.5 3.5 0 0 1 0-7H15\"\/><circle cx=\"18\" cy=\"5\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Scenarios read as forecasts<\/h3><p class=\"nx-p nx-mt-1\">Illustrative pathways are quoted as expected outcomes, and a middle scenario is read as most likely. Without stated purpose and plausibility, scenario results become false predictions in decision documents.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"18\" cy=\"18\" r=\"3\"\/><circle cx=\"6\" cy=\"6\" r=\"3\"\/><path d=\"M6 21V9a9 9 0 0 0 9 9\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Model lineage<\/h3><p class=\"nx-p nx-mt-1\">Models are reused and extended across studies, so an error in a shared component or dataset propagates into every study built on it. Version identifiers make that lineage traceable.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"3\"\/><circle cx=\"19\" cy=\"5\" r=\"2\"\/><circle cx=\"5\" cy=\"19\" r=\"2\"\/><path d=\"M10.4 21.9a10 10 0 0 0 9.941-15.416\"\/><path d=\"M13.5 2.1a10 10 0 0 0-9.841 15.416\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Reproduction is rarely tried<\/h3><p class=\"nx-p nx-mt-1\">Code and data may be available yet never rerun by anyone else. Without independent reproduction, errors in implementation can persist through review and into the reports that cite the results.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-s-3-sec\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-3\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-2\"><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\">Monitor<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Series production desk.<\/h2><p class=\"nx-lede\">The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-reports-series\" data-cx=\"reports.series\" data-variant=\"section\" aria-label=\"Series production desk: illustrative console with example names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Series production desk<\/h3><p class=\"nx-fk-sub\">Scenarios and methods \u00b7 Annual synthesis \u00b7 Edition 9<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure&#8217;s values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Data check behind plan<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Reports<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Editions in production<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-reports-series-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-reports-series-t0\" aria-label=\"Editions in production\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Edition<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Series<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Stage<\/button><\/th><th scope=\"col\" data-col=\"c3\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Values traced (%)<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Due<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-reports-series:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\" aria-current=\"true\" data-cur=\"true\"><td>Annual synthesis<\/td><td>Global<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Data check<\/span><\/td><td data-num=\"true\" data-sv=\"75\">75<\/td><td>W13<\/td><\/tr><tr data-fk-key=\"cx-reports-series:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Country profile 7<\/td><td>Country<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Peer review<\/span><\/td><td data-num=\"true\" data-sv=\"99\">99<\/td><td>W32<\/td><\/tr><tr data-fk-key=\"cx-reports-series:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Water outlook<\/td><td>Sectoral<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Drafting<\/span><\/td><td data-num=\"true\" data-sv=\"50\">50<\/td><td>W15<\/td><\/tr><tr data-fk-key=\"cx-reports-series:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Methods note 4<\/td><td>Methods<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Released<\/span><\/td><td data-num=\"true\">100<\/td><td>done<\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"bullets\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Data check, annual synthesis<\/h4><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 360 92\" width=\"360\" height=\"92\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Data check, annual synthesis\" data-fk-chart=\"bars\"><g data-m=\"row\" data-k=\"r-b0\"><text data-m=\"rlabel\" x=\"104\" y=\"17\" text-anchor=\"end\">Values traced, %<\/text><rect data-m=\"bar\" data-k=\"b-b0-v\" data-c=\"acc\" x=\"112\" y=\"4\" width=\"100.7\" height=\"18\"\/><rect data-m=\"bar\" data-k=\"b-b0-r\" data-c=\"rule\" x=\"213.7\" y=\"4\" width=\"14.3\" height=\"18\"\/><text data-m=\"vlabel\" data-k=\"v-b0\" x=\"234\" y=\"17\">88 of 100 required<\/text><rect data-m=\"hit\" x=\"0\" y=\"-1\" width=\"360\" height=\"28\"\/><\/g><g data-m=\"row\" data-k=\"r-b1\"><text data-m=\"rlabel\" x=\"104\" y=\"45\" text-anchor=\"end\">Labels attached, %<\/text><rect data-m=\"bar\" data-k=\"b-b1-v\" data-c=\"acc\" x=\"112\" y=\"32\" width=\"100.4\" height=\"18\"\/><rect data-m=\"bar\" data-k=\"b-b1-r\" data-c=\"rule\" x=\"213.4\" y=\"32\" width=\"14.6\" height=\"18\"\/><text data-m=\"vlabel\" data-k=\"v-b1\" x=\"234\" y=\"45\">87 of 100 required<\/text><rect data-m=\"hit\" x=\"0\" y=\"27\" width=\"360\" height=\"28\"\/><\/g><g data-m=\"row\" data-k=\"r-b2\"><text data-m=\"rlabel\" x=\"104\" y=\"73\" text-anchor=\"end\">Uncertainty stated, %<\/text><rect data-m=\"bar\" data-k=\"b-b2-v\" data-c=\"acc\" x=\"112\" y=\"60\" width=\"103.3\" height=\"18\"\/><rect data-m=\"bar\" data-k=\"b-b2-r\" data-c=\"rule\" x=\"216.3\" y=\"60\" width=\"11.7\" height=\"18\"\/><text data-m=\"vlabel\" data-k=\"v-b2\" x=\"234\" y=\"73\">90 of 100 required<\/text><rect data-m=\"hit\" x=\"0\" y=\"55\" width=\"360\" height=\"28\"\/><\/g><\/svg><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"steps\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Edition pipeline<\/h4><\/div><\/div><ol class=\"nx-cx-steps\" data-n=\"7\"><li data-st=\"done\"><span class=\"nx-cx-sn\">Outline<\/span><span class=\"nx-cx-snote\">board<\/span><\/li><li data-st=\"done\"><span class=\"nx-cx-sn\">Draft<\/span><span class=\"nx-cx-snote\">authors<\/span><\/li><li data-st=\"now\"><span class=\"nx-cx-sn\">Data check<\/span><span class=\"nx-cx-snote\">every value<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Peer review<\/span><span class=\"nx-cx-snote\">two rounds<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Editorial<\/span><span class=\"nx-cx-snote\">decision<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Release<\/span><span class=\"nx-cx-snote\">DOI<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Corrections<\/span><span class=\"nx-cx-snote\">versioned<\/span><\/li><\/ol><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Series production desk: the screen&#8217;s structure, terms and states for Scenarios and methods.<\/span><span data-honesty=\"true\">Example names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-pg-in-the-domains\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"inset\" aria-labelledby=\"nx-s-4\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-3\"><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\">In the five domains<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Scenario and methods editions serve every domain&#8217;s analysts.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><ul class=\"nx-dir\" data-cols=\"3\" aria-label=\"Domain\"><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/water-nexus\/topics\/drought-and-flood\/\"><span class=\"nx-dir-name\">Water<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">In practice<\/span><span class=\"nx-dir-v\">Drought and flood scenarios.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">What a reader can check<\/span><span class=\"nx-dir-v\">Scenario labels<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/food-nexus\/topics\/food-system-shocks\/\"><span class=\"nx-dir-name\">Food<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">In practice<\/span><span class=\"nx-dir-v\">Compound food shocks.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">What a reader can check<\/span><span class=\"nx-dir-v\">Assumptions<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/energy-nexus\/topics\/grid-disruption-and-recovery\/\"><span class=\"nx-dir-name\">Energy<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">In practice<\/span><span class=\"nx-dir-v\">Outage cascades.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">What a reader can check<\/span><span class=\"nx-dir-v\">Model documentation<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><p class=\"nx-p\">Methods follow reporting guides such as PRISMA 2020 for reviews; scenario results are never presented as forecasts. Models carry NS-12 cards.<\/p><ul class=\"nx-list\"><li>Methods papers.<\/li><li>Scenario critiques.<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-instrument\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-ns-layout=\"es-wide\" aria-labelledby=\"nx-s-5\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-4\"><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\">Simulator<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Stocks, flows, delays and a tipping threshold.<\/h2><p class=\"nx-lede\">Two stocks, pressure and <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 adaptive-capacity\" data-tk=\"Nexus risk vocabulary\" data-td=\"The ability of a system, institution or community to adjust to actual or expected change, take advantage of opportunities and moderate harm. Adaptive capacity works over longer time horizons than coping.\" data-ts=\"NRS-C1\" data-tr=\"draft\">adaptive capacity<\/a>, joined by a reinforcing growth loop, a delayed balancing response and damage when pressure outruns capacity; past the threshold the system can tip. Teaching model with stated illustrative values, not a prediction.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-in nx-fk\" id=\"nx-in-xus-reports-topics-scenarios-and-methods-0\" data-nxi=\"sd\" data-nxi-id=\"sd\" data-nxi-z=\"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\" aria-label=\"Stocks, flows, delays and a tipping threshold\"><div class=\"nx-in-body\"><div class=\"nx-in-main\"><div class=\"nx-in-tabs\" data-nxi-tabs=\"true\" aria-label=\"Views of the model\" hidden><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"result\">Result<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"loops\">Loops<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"fan\">Uncertainty<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"tornado\">Sensitivity<\/button><\/div><div class=\"nx-in-stage\" id=\"nx-in-xus-reports-topics-scenarios-and-methods-0-stage\" data-nxi-stage=\"true\" data-view=\"result\"><svg class=\"nx-in-svg\" viewBox=\"0 0 720 340\" role=\"img\" aria-label=\"Stocks over time\" data-nx-z=\"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\"><\/svg><\/div><p class=\"nx-in-tip\" data-nxi-tip=\"true\" aria-live=\"polite\"><\/p><div class=\"nx-in-bar\" data-nxi-bar=\"true\" role=\"group\" aria-label=\"Play over time\" hidden><button type=\"button\" class=\"nx-in-btn\" data-nxi-prev=\"true\" aria-label=\"Step back\">&#8249;<\/button><button type=\"button\" class=\"nx-in-btn\" data-nxi-play=\"true\" aria-pressed=\"false\">Play<\/button><button type=\"button\" class=\"nx-in-btn\" data-nxi-next=\"true\" aria-label=\"Step forward\">&#8250;<\/button><span class=\"nx-in-step\" data-nxi-step=\"true\" aria-live=\"polite\"><\/span><\/div><\/div><div class=\"nx-in-side\"><p class=\"nx-eyebrow\">Controls<\/p><div class=\"nx-in-ctl\" data-nxi-ctl=\"true\"><dl class=\"nx-in-pv\"><div><dt>Growth of pressure<\/dt><dd>6.0% a year<\/dd><\/div><div><dt>Efficacy of capacity in reducing pressure<\/dt><dd>4.0% a year<\/dd><\/div><div><dt>Investment response to perceived pressure<\/dt><dd>20%<\/dd><\/div><div><dt>Perception delay<\/dt><dd>4.0 years<\/dd><\/div><div><dt>Tipping threshold of pressure<\/dt><dd>60 index<\/dd><\/div><div><dt>Amplification past the threshold<\/dt><dd>2.0 times<\/dd><\/div><div><dt>Years simulated<\/dt><dd>50 years<\/dd><\/div><\/dl><\/div><p class=\"nx-eyebrow\">Readouts<\/p><dl class=\"nx-in-out\" data-nxi-out=\"true\" aria-live=\"polite\"><div><dt>Peak pressure<\/dt><dd>113 index<\/dd><\/div><div><dt>Capacity at the end<\/dt><dd>186 index<\/dd><\/div><div><dt>Years over the threshold<\/dt><dd>15.8 years<\/dd><\/div><\/dl><\/div><\/div><details class=\"nx-in-more\"><summary>Numbers, methods and sources<\/summary><div class=\"nx-in-more-in\"><div class=\"nx-in-tblw\" data-nxi-table=\"true\"><table class=\"nx-in-tbl\"><thead><tr><th scope=\"col\">Year<\/th><th scope=\"col\">Pressure<\/th><th scope=\"col\">Capacity<\/th><th scope=\"col\">Perceived<\/th><\/tr><\/thead><tbody><tr><th scope=\"row\">0<\/th><td>20.0<\/td><td>50.0<\/td><td>20.0<\/td><\/tr><tr><th scope=\"row\">4<\/th><td>23.3<\/td><td>44.9<\/td><td>21.2<\/td><\/tr><tr><th scope=\"row\">8<\/th><td>27.2<\/td><td>42.2<\/td><td>24.0<\/td><\/tr><tr><th scope=\"row\">12<\/th><td>31.7<\/td><td>42.3<\/td><td>27.7<\/td><\/tr><tr><th scope=\"row\">16<\/th><td>36.8<\/td><td>45.5<\/td><td>32.2<\/td><\/tr><tr><th scope=\"row\">20<\/th><td>42.3<\/td><td>51.5<\/td><td>37.2<\/td><\/tr><tr><th scope=\"row\">24<\/th><td>47.9<\/td><td>60.3<\/td><td>42.6<\/td><\/tr><tr><th scope=\"row\">28<\/th><td>53.2<\/td><td>71.3<\/td><td>48.0<\/td><\/tr><tr><th scope=\"row\">32<\/th><td>57.8<\/td><td>84.3<\/td><td>53.1<\/td><\/tr><tr><th scope=\"row\">36<\/th><td>66.4<\/td><td>98.4<\/td><td>58.4<\/td><\/tr><tr><th scope=\"row\">40<\/th><td>82.7<\/td><td>115.9<\/td><td>69.7<\/td><\/tr><tr><th scope=\"row\">44<\/th><td>97.8<\/td><td>139.7<\/td><td>83.8<\/td><\/tr><tr><th scope=\"row\">48<\/th><td>109.1<\/td><td>169.4<\/td><td>97.3<\/td><\/tr><\/tbody><\/table><\/div><button type=\"button\" class=\"nx-in-btn\" data-nxi-csv=\"true\" hidden>Download the numbers (CSV)<\/button><h4 class=\"nx-h4\">Methods<\/h4><ol class=\"nx-in-meth\"><li>System dynamics <span class=\"nx-in-cite\">Forrester (1961), Industrial Dynamics, MIT Press; Sterman (2000), Business Dynamics<\/span><\/li><li>Critical transitions and tipping points <span class=\"nx-in-cite\">Scheffer and others (2009), Early-warning signals for critical transitions, Nature 461<\/span><\/li><li>Causal loop diagram <span class=\"nx-in-cite\">Sterman (2000), Business Dynamics, McGraw-Hill<\/span><\/li><li>Uncertainty fan (parameter Monte Carlo) <span class=\"nx-in-cite\">Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333<\/span><\/li><li>One-at-a-time sensitivity (tornado) <span class=\"nx-in-cite\">Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley<\/span><\/li><\/ol><h4 class=\"nx-h4\">Data<\/h4><p class=\"nx-p\">No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme&#8217;s own evidence.<\/p><\/div><\/details><figcaption class=\"nx-caption\">Stocks, flows, delays and a tipping threshold. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: System dynamics (Forrester (1961), Industrial Dynamics, MIT Press; Sterman (2000), Business Dynamics); Critical transitions and tipping points (Scheffer and others (2009), Early-warning signals for critical transitions, Nature 461); Causal loop diagram (Sterman (2000), Business Dynamics, McGraw-Hill).<\/figcaption><div class=\"nx-in-pls\"><p class=\"nx-eyebrow\">Across the six pillars, led by Nexus Consortium<\/p><ul class=\"nx-in-pl\" aria-label=\"Where this instrument connects across the pillars\"><li data-pillar=\"labs\" data-hue=\"social\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Experiments<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-labs\/\">Labs<\/a><\/li><li data-pillar=\"foundry\" data-hue=\"infrastructure\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Built in<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-reports\/foundry\/\">Reports in Foundry<\/a><\/li><li data-pillar=\"universe\" data-hue=\"water\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Tested at<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-reports\/universe\/\">Reports in Universe<\/a><\/li><li data-pillar=\"standards\" data-hue=\"biodiversity\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Codified in<\/span> <a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/data\/\">Data and Evidence in Standards<\/a><\/li><li data-pillar=\"reports\" data-hue=\"energy\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Published in<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-reports\/reports\/\">Reports in Reports<\/a><\/li><li data-pillar=\"academy\" data-hue=\"risk\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Taught in<\/span> <a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/risk-science\/\">Faculty of Risk Science and Methods in Academy<\/a><\/li><\/ul><\/div><span class=\"nx-in-keep\" hidden><i data-c=\"c1\"><\/i><i data-c=\"c2\"><\/i><i data-c=\"c3\"><\/i><i data-c=\"c4\"><\/i><i data-c=\"c5\"><\/i><i data-c=\"c6\"><\/i><i data-c=\"l0\"><\/i><i data-c=\"l1\"><\/i><i data-c=\"l2\"><\/i><i data-c=\"l3\"><\/i><i data-c=\"l5\"><\/i><i data-c=\"h3\"><\/i><i data-c=\"neg\"><\/i><i data-c=\"on0\"><\/i><i data-c=\"on1\"><\/i><i data-l=\"0\"><\/i><i data-l=\"1\"><\/i><i data-l=\"2\"><\/i><i data-l=\"3\"><\/i><i data-l=\"4\"><\/i><i data-l=\"5\"><\/i><i data-on=\"0\"><\/i><i data-on=\"1\"><\/i><i data-pol=\"p\"><\/i><i data-pol=\"n\"><\/i><i data-k=\"R\"><\/i><i data-k=\"B\"><\/i><i data-k=\"dash\"><\/i><i data-dash=\"true\"><\/i><i data-view=\"result\"><\/i><i data-nxi-live=\"on\"><\/i><i data-nxi-live=\"off\"><\/i><i class=\"nx-in-svg nx-in-grid nx-in-ax nx-in-tk nx-in-at nx-in-ln nx-in-band nx-in-lbl nx-in-lk nx-in-ref nx-in-reft nx-in-mk nx-in-x nx-in-rect nx-in-val nx-in-rowl nx-in-cl nx-in-arrow nx-in-pol nx-in-cln nx-in-loop nx-in-edge nx-in-node nx-in-nl nx-in-reach nx-in-trib nx-in-agent nx-in-flow nx-in-legend nx-in-sw nx-in-note nx-in-loops nx-in-3d nx-in-cv nx-in-field nx-in-fl nx-in-fv nx-in-range nx-in-btn nx-in-err nx-in-tbl nx-in-cite\"><\/i><\/span><\/figure><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-2\" data-tone=\"alt\" data-hue=\"project\" aria-label=\"Indicators, Methods and evidence, Sources, Decisions\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Indicators, Methods and evidence, Sources, Decisions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-1\" aria-controls=\"nx-sec-indicators\" aria-selected=\"true\" data-key=\"p1\">Indicators<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-2\" aria-controls=\"nx-sec-audience\" aria-selected=\"false\" data-key=\"p2\">Methods and evidence<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-3\" aria-controls=\"nx-sec-sources\" aria-selected=\"false\" data-key=\"p3\">Sources<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-4\" aria-controls=\"nx-sec-decisions\" aria-selected=\"false\" data-key=\"p4\">Decisions<\/button><\/div><section id=\"nx-sec-indicators\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-6\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-1\"><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-6\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Studies with archived code and data<\/td><td data-label=\"Unit\">percent of studies<\/td><td data-label=\"Cadence\">per version<\/td><td data-label=\"Source type\">Repository deposit records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Assumptions documented in an assumptions register<\/td><td data-label=\"Unit\">percent of key parameters<\/td><td data-label=\"Cadence\">per study<\/td><td data-label=\"Source type\">Editorial audit<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Independent reproduction status<\/td><td data-label=\"Unit\">category: not attempted, partial, full<\/td><td data-label=\"Cadence\">per study<\/td><td data-label=\"Source type\">Reproduction record<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Sensitivity analyses reported for key parameters<\/td><td data-label=\"Unit\">percent of key parameters<\/td><td data-label=\"Cadence\">per study<\/td><td data-label=\"Source type\">Editorial audit<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Model and dataset versions cited with identifiers<\/td><td data-label=\"Unit\">percent of model and data citations<\/td><td data-label=\"Cadence\">per version<\/td><td data-label=\"Source type\">Reference metadata<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Statistical or methods review completed<\/td><td data-label=\"Unit\">yes or no, with reviewer role<\/td><td data-label=\"Cadence\">per study<\/td><td data-label=\"Source type\">Review record<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G11\/topics\/scenarios-and-methods\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-audience\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-7\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-2\"><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\">Methods and evidence<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">How scenarios and methods is modelled, measured and tested.<\/h2><p class=\"nx-lede\">The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-au\" data-au-voice=\"science\" data-au-n=\"1\"><figure class=\"nx-au-c\" data-au-fig=\"method-panel\"><h3 class=\"nx-h4\">Model, equations and assumptions<\/h3><p class=\"nx-p nx-au-what\">The model structure used for scenarios and methods, the assumptions it makes and how each is tested.<\/p><div class=\"nx-au-eqs\"><div class=\"nx-au-eq\"><span class=\"nx-au-k\">Risk of element i<\/span><code>R<sub>i<\/sub> = f(H<sub>i<\/sub>, E<sub>i<\/sub>, V<sub>i<\/sub>, C<sub>i<\/sub>)<\/code><span class=\"nx-au-n\">hazard, exposure, vulnerability and coping capacity<\/span><\/div><div class=\"nx-au-eq\"><span class=\"nx-au-k\">Expected annual loss<\/span><code>EAL = &#8721;<sub>k<\/sub> p<sub>k<\/sub> &#183; L<sub>k<\/sub><\/code><span class=\"nx-au-n\">over events k with annual probability p<sub>k<\/sub><\/span><\/div><div class=\"nx-au-eq\"><span class=\"nx-au-k\">Coupled systems<\/span><code>x<sub>t+1<\/sub> = A x<sub>t<\/sub> + B u<sub>t<\/sub> + &#949;<sub>t<\/sub><\/code><span class=\"nx-au-n\">A carries the couplings, u the shock, &#949; the error<\/span><\/div><\/div><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Assumption<\/th><th scope=\"col\">Why it is made<\/th><th scope=\"col\">How it is tested<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Assumption\">Hazard and exposure are independent within an event<\/td><td data-label=\"Why it is made\">Keeps the loss integral tractable<\/td><td data-label=\"How it is tested\">Compare with a copula fit on joint records<\/td><\/tr><tr><td data-label=\"Assumption\">Couplings are linear near the operating point<\/td><td data-label=\"Why it is made\">Lets shocks propagate through A<\/td><td data-label=\"How it is tested\">Perturb beyond the linear range and compare<\/td><\/tr><tr><td data-label=\"Assumption\">Vulnerability curves transfer between places<\/td><td data-label=\"Why it is made\">Local curves are rarely available<\/td><td data-label=\"How it is tested\">Validate against observed losses where they exist<\/td><\/tr><\/tbody><\/table><\/div><dl class=\"nx-au-kv\"><div><dt>Inputs<\/dt><dd>versioned datasets with provenance<\/dd><\/div><div><dt>Outputs<\/dt><dd>distributions, never single numbers<\/dd><\/div><div><dt>Code<\/dt><dd>released with the model card and tests<\/dd><\/div><div><dt>Reproduction<\/dt><dd>same data, code, environment and seed<\/dd><\/div><\/dl><figcaption class=\"nx-caption\"><span>Standard risk and state-space formulations; the assumptions listed are typical of the method, stated for review, not results.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-chips nx-au-fw\" aria-label=\"Frameworks cited\"><span class=\"nx-chip\">FAIR guiding principles \u00b7 GO FAIR and FORCE11<\/span><span class=\"nx-chip\">W3C PROV \u00b7 World Wide Web Consortium<\/span><span class=\"nx-chip\">Guidance on consistent treatment of uncertainties \u00b7 IPCC<\/span><span class=\"nx-chip\">CEOS Analysis Ready Data \u00b7 Committee on Earth Observation Satellites<\/span><\/div><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"stack\" aria-labelledby=\"nx-s-8\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-3\"><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-8\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">AR6 Scenarios Database (IAMC and IIASA)<\/td><td data-label=\"What it gives\">Integrated assessment scenarios assessed by the IPCC with metadata<\/td><td data-label=\"Licence class\">Free with registration, terms per IIASA<\/td><\/tr><tr><td data-label=\"Source\">SSP Database (IIASA)<\/td><td data-label=\"What it gives\">Shared Socioeconomic Pathway projections of population, economy and emissions<\/td><td data-label=\"Licence class\">Free with registration, terms per IIASA<\/td><\/tr><tr><td data-label=\"Source\">NGFS climate scenarios<\/td><td data-label=\"What it gives\">Climate-related financial scenarios with documentation<\/td><td data-label=\"Licence class\">Free to use, terms per NGFS<\/td><\/tr><tr><td data-label=\"Source\">Zenodo<\/td><td data-label=\"What it gives\">Archived code, data and model versions with DOIs<\/td><td data-label=\"Licence class\">Metadata CC0, licence per record<\/td><\/tr><tr><td data-label=\"Source\">Software Heritage<\/td><td data-label=\"What it gives\">Archived source code with intrinsic identifiers<\/td><td data-label=\"Licence class\">Code under its own licence<\/td><\/tr><tr><td data-label=\"Source\">OSF Registries<\/td><td data-label=\"What it gives\">Pre-registered analysis plans and study protocols<\/td><td data-label=\"Licence class\">Metadata CC0, licence per registration<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G11\/topics\/scenarios-and-methods\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"split\" aria-labelledby=\"nx-s-9\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-4\"><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-9\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports\">Reports<\/a> prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Central banks and financial supervisors<\/td><td data-label=\"The question\">Which scenario sets are fit for climate and systemic stress testing<\/td><td data-label=\"Evidence this page serves\">Scenario documentation, assumptions and sensitivity of results<\/td><\/tr><tr><td data-label=\"Who decides\">Planning and environment ministries<\/td><td data-label=\"The question\">How to use scenario results in national plans without reading them as forecasts<\/td><td data-label=\"Evidence this page serves\">Stated scenario purpose and the range across scenarios<\/td><\/tr><tr><td data-label=\"Who decides\">Statistical and methods review panels<\/td><td data-label=\"The question\">Whether a method is adequately documented and reproducible<\/td><td data-label=\"Evidence this page serves\">Assumptions registers, archived code and reproduction records<\/td><\/tr><tr><td data-label=\"Who decides\">Research funders<\/td><td data-label=\"The question\">Whether to require code, data and reproduction for funded analytical work<\/td><td data-label=\"Evidence this page serves\">Archive and reproduction indicators across studies<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Method reports with assumptions registers and sensitivity analyses<\/li><li>Archived code and data with persistent identifiers<\/li><li>Scenario descriptions stating purpose, framing and plausibility<\/li><li>Reproduction records from independent reruns<\/li><\/ul><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-3\" data-hue=\"project\" aria-label=\"Core questions, Scope, Methods and evidence, Methods\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Core questions, Scope, Methods and evidence, Methods\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-1\" aria-controls=\"nx-sec-core-questions\" aria-selected=\"true\" data-key=\"p1\">Core questions<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-2\" aria-controls=\"nx-sec-scope\" aria-selected=\"false\" data-key=\"p2\">Scope<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-3\" aria-controls=\"nx-sec-methods-and-evidence\" aria-selected=\"false\" data-key=\"p3\">Methods and evidence<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-4\" aria-controls=\"nx-sec-methods\" aria-selected=\"false\" data-key=\"p4\">Methods<\/button><\/div><section id=\"nx-sec-core-questions\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"inset\" aria-labelledby=\"nx-s-10\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-1\"><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-10\" class=\"nx-section-title\">What the series asks.<\/h2><p class=\"nx-lede\">Findings are only as reliable as the methods behind them. Scenario studies and stress tests are powerful tools for exploring plausible futures and testing resilience, but they are easily misread as predictions or as verdicts on institutions. Publishing methods in full, with their assumptions and validation, lets readers judge what a result means and lets other researchers reproduce or challenge it.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Which assumptions drive a scenario&#8217;s results, and how sensitive are the conclusions to them?<\/li><li>Has the model been validated against historical events or independent data, and with what result?<\/li><li>How are uncertainties combined and communicated, including <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 deep-uncertainty\" data-tk=\"Nexus risk vocabulary\" data-td=\"A situation in which the parties cannot agree on the models describing a system, the probability of key inputs, or how to value outcomes. Under deep uncertainty Nexus favours scenarios and robust decisions over single\u2026\" data-ts=\"NRS-C1\" data-tr=\"draft\">deep uncertainty<\/a> that cannot be quantified?<\/li><li>Can another team reproduce the result from the published data and code?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-scope\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-11\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-2\"><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\">Scope<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">What the series covers.<\/h2><p class=\"nx-lede\">Two series publish analysis and the methods behind it.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"3\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><polygon points=\"16.24 7.76 14.12 14.12 7.76 16.24 9.88 9.88 16.24 7.76\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Scenarios<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Plausible futures<\/h3><p class=\"nx-p nx-mt-1\">Narrative and quantitative scenarios that explore how <a class=\"nx-link nx-term\" href=\"https:\/\/docs.therisk.global\/organization\/systems\" data-tc=\"Systems\" data-tk=\"Nexus Standards\" data-td=\"The twenty Nexus systems, NXS-CMD to NXS-LAB\">systems<\/a> could evolve under stated assumptions.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M22 12h-2.48a2 2 0 0 0-1.93 1.46l-2.35 8.36a.25.25 0 0 1-.48 0L9.24 2.18a.25.25 0 0 0-.48 0l-2.35 8.36A2 2 0 0 1 4.49 12H2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Stress tests<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Severe but plausible shocks<\/h3><p class=\"nx-p nx-mt-1\">Tests of how systems respond to defined shocks; they describe systems, not the soundness of any firm.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect width=\"8\" height=\"8\" x=\"3\" y=\"3\" rx=\"2\"\/><path d=\"M7 11v4a2 2 0 0 0 2 2h4\"\/><rect width=\"8\" height=\"8\" x=\"13\" y=\"13\" rx=\"2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Technical notes<\/h3><p class=\"nx-p nx-mt-1\">Model documentation, data pipelines and validation reports for reuse and review.<\/p><\/div><\/div><p class=\"nx-p\">Good scenario practice distinguishes between exploratory scenarios, which map a range of plausible futures, and stress scenarios, which test a system against a severe but plausible shock. Both are useful, and both are misused when a single path is presented as the expected outcome. Editions therefore present sets of scenarios with their driving assumptions and show where results diverge.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-evidence\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"stack\" aria-labelledby=\"nx-s-12\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-3\"><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\">How editions are built<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">How editions are built, and their limits.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Model documentation<\/h3><p class=\"nx-p nx-mt-1\">Purpose, structure, inputs, assumptions and known limits, published alongside results.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Validation<\/h3><p class=\"nx-p nx-mt-1\">Back-testing, comparison with independent data and <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 sensitivity-analysis\" data-tk=\"Nexus risk vocabulary\" data-td=\"Testing how much a model's outputs change when inputs or assumptions change, to identify which drive results.\" data-ts=\"NRS-C1\" data-tr=\"draft\">sensitivity analysis<\/a>, using <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/uncertainty-quantification\/\">uncertainty quantification and model validation<\/a>.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Reproducibility<\/h3><p class=\"nx-p nx-mt-1\">Data and code released where rights permit, with pipelines documented under <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/technology\/data-engineering\/\">data engineering, interoperability and stewardship<\/a>.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Communication<\/h3><p class=\"nx-p nx-mt-1\">Results labelled Scenario, Modelled or Forecast, with ranges rather than single numbers where uncertainty is material.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-13\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-4\"><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-13\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/nexus-reports\/stem\/uncertainty-quantification\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Uncertainty quantification and model validation<\/span><span class=\"nx-mledger-role\">Calibrated language in assessments \u00b7 Certainty of evidence ratings<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/uncertainty-quantification\/\" aria-label=\"Canonical \u00b7 STEM Commons: Uncertainty quantification and model validation\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/nexus-reports\/stem\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Meta-analysis with heterogeneity stated \u00b7 Small-study and publication bias<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/probability-statistics\/\" aria-label=\"Canonical \u00b7 STEM Commons: Probability and statistics\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/nexus-reports\/stem\/data-engineering\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Data engineering, interoperability and stewardship<\/span><span class=\"nx-mledger-role\">Structured publishing in JATS XML \u00b7 Persistent identifiers across the record<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/data-engineering\/\" aria-label=\"Canonical \u00b7 STEM Commons: Data engineering, interoperability and stewardship\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Documentation shows what was assumed; it does not show that the assumptions are right. Scenario ranges reflect the scenarios chosen, not the full range of possible futures, and probabilities are rarely assignable to them. Reproduction confirms that results follow from code and data, not that the model represents reality. Some models and data cannot be archived for licence or security reasons, and this is stated. Reports does not select scenarios for any regulator or ministry.<\/p><\/aside><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-4\" data-tone=\"alt\" data-hue=\"project\" aria-label=\"Sources, Questions\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Sources, Questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-4-tab-1\" aria-controls=\"nx-sec-pg-sources\" aria-selected=\"true\" data-key=\"p1\">Sources<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-4-tab-2\" aria-controls=\"nx-s-15-sec\" aria-selected=\"false\" data-key=\"p2\">Questions<\/button><\/div><section id=\"nx-sec-pg-sources\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"inset\" aria-labelledby=\"nx-s-14\" role=\"tabpanel\" data-band-tab=\"nx-band-4-tab-1\"><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\">Where this page&#8217;s references<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">Where this page&#8217;s references lead.<\/h2><p class=\"nx-lede\">The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/doi.org\/10.1136\/bmj.n71\"><span>Page and others, The PRISMA 2020 statement, BMJ 372 (2021)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/doi.org\/10.1038\/d41586-020-01812-9\"><span>Saltelli and others, Five ways to ensure that models serve society, Nature 582 (2020)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/standards\/ns-12\/\"><span>NS-12, Software, model and AI\/ML artefacts, a proposed standard<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-15\" role=\"tabpanel\" data-band-tab=\"nx-band-4-tab-2\"><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-15\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Is a scenario a forecast?<\/summary><div class=\"nx-answer\">No. A scenario is a coherent and plausible description of a possible future used to explore consequences and decisions. It carries no probability unless one is explicitly and defensibly assigned.<\/div><\/details><details><summary>What is the difference between reproduction and replication?<\/summary><div class=\"nx-answer\">Reproduction reruns the same code on the same data to obtain the same result. Replication tests the finding with new data or methods. Both matter; they answer different questions.<\/div><\/details><details><summary>Why publish an assumptions register?<\/summary><div class=\"nx-answer\">Because results often depend more on a few assumptions than on the model structure. A register lets reviewers and users test the assumptions that drive the result.<\/div><\/details><details><summary>Is a scenario a prediction?<\/summary><div class=\"nx-answer\">No. A scenario explores what could happen under stated assumptions. It is labelled Scenario and should not be read as a forecast.<\/div><\/details><details><summary>Are the stress tests regulatory stress tests?<\/summary><div class=\"nx-answer\">No. They are research studies of how systems respond to shocks, and they make no finding about the soundness of any institution.<\/div><\/details><details><summary>Can I reuse the models?<\/summary><div class=\"nx-answer\">Where rights permit, code and data are released with a licence stated in the source and rights register.<\/div><\/details><details><summary>What if a method is found to be flawed?<\/summary><div class=\"nx-answer\">The method note and every edition that relied on it are corrected in new versions, with the change recorded on the corrections page.<\/div><\/details><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-nr-gateway-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">Reports<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Contribute<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute evidence from this page.<\/h2><p class=\"nx-lede\">Reports is the Consortium&#8217;s quarterly publication. 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They are not advice, forecasts or warnings; the limits of the information are set out in the Disclaimers and Data Notices.<\/p><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/nexus-reports\/topics\/scenarios-and-methods\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/nexus-reports\/topics\/scenarios-and-methods\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Is a scenario a forecast?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. A scenario is a coherent and plausible description of a possible future used to explore consequences and decisions. 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