{"id":13,"date":"2026-10-18T02:58:28","date_gmt":"2026-10-18T02:58:28","guid":{"rendered":"https:\/\/risksacademy.com\/earth-environment\/?page_id=13"},"modified":"2026-10-20T10:54:30","modified_gmt":"2026-10-20T10:54:30","slug":"climate-science","status":"publish","type":"page","link":"https:\/\/risksacademy.com\/earth-environment\/climate-science\/","title":{"rendered":"Climate science, variability and change"},"content":{"rendered":"\n<!-- Risk Academy page \u00b7 https:\/\/risksacademy.com\/earth-environment\/climate-science\/ \u00b7 generated by integrations\/wordpress\/academy\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-ast-engine\" 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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nwvnwsun.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><\/defs><\/svg><div class=\"nx-ra-bar\"><div class=\"nx-ra-bar-in\"><nav class=\"nx-ra-crumb\" aria-label=\"Breadcrumb\"><ol><li><a href=\"https:\/\/risksacademy.com\/\">Risk Academy<\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/earth-environment\/\">Faculty of Earth and Environmental Sciences<\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/earth-environment\/departments\/\">Departments of the Faculty of Earth and Environmental Sciences<\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/earth-environment\/departments\/climate-ocean\/\">Department of Climate and Ocean Sciences<\/a><\/li><li aria-current=\"page\"><span>Climate science, variability and change<\/span><\/li><\/ol><\/nav><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\">System<\/button><\/div><\/div><\/div><section class=\"nx-scene nx-ra-scene\" data-scene=\"academy\" aria-labelledby=\"nx-sc-title\" data-av-hero=\"gcm\"><div class=\"nx-scene-stage nx-ra-stage\"><div class=\"nx-av\" data-av=\"gcm\" data-av-tone=\"climate\" data-av-od=\"nENm7tCYcRkXxmpZgNUlKS332O+9kVZ3yMb8rB3Sq8E=\" data-av-o=\"{&quot;seed&quot;:925,&quot;lon0&quot;:3.31}\" aria-hidden=\"true\"><svg class=\"nx-av-poster\" viewBox=\"0 0 800 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r=\"3\"\/><path class=\"p2\" d=\"M372.8 284.4Q440.9 160.2 509 176\"\/><circle class=\"p4\" cx=\"372.8\" cy=\"284.4\" r=\"3\"\/><path class=\"p2\" d=\"M524.8 295.7Q472 222 419.3 288.3\"\/><circle class=\"p4\" cx=\"524.8\" cy=\"295.7\" r=\"3\"\/><path class=\"p2\" d=\"M368.3 255Q370.8 144.9 373.4 174.8\"\/><circle class=\"p4\" cx=\"368.3\" cy=\"255\" r=\"3\"\/><path class=\"p2\" d=\"M456.2 292.2Q411.8 209.9 367.3 267.7\"\/><circle class=\"p4\" cx=\"456.2\" cy=\"292.2\" r=\"3\"\/><\/svg><\/div><div class=\"nx-av-ui\"><p class=\"nx-av-cap\">Illustrative: zonal winds, the subtropical and polar-front jets and the Hadley, Ferrel and polar cells (heights exaggerated)<\/p><button type=\"button\" class=\"nx-av-pause\" data-av-act=\"pause\" aria-pressed=\"false\" aria-label=\"Pause the background animation\" disabled><svg width=\"12\" height=\"12\" viewBox=\"0 0 10 10\" aria-hidden=\"true\"><path fill=\"currentColor\" d=\"M2 1h2v8H2zM6 1h2v8H6z\"\/><\/svg><\/button><\/div><\/div><div class=\"nx-scene-intro\"><p class=\"nx-eyebrow\">Risk Academy, led by the Nexus Consortium \u00b7 Earth and Environmental Sciences<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-sc-title\" class=\"nx-scene-title\">Climate science, variability and change<\/h1><p class=\"nx-scene-lede\">Climate science covers the variability of precipitation, temperature and soil moisture over years and decades and the extremes at their edges.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"#nx-sec-scene\">Play the chain <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=\"#nx-sec-courses\">See the courses<\/a><\/div><p class=\"nx-ra-more\"><a class=\"nx-link\" href=\"#nx-sec-maps\">Map climate science, variability and change on a real place<\/a><\/p><\/div><\/section><nav class=\"nx-index-strip nx-ra-jump\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-stage\"><span>01<\/span>Model<\/a><a href=\"#nx-sec-scope\"><span>02<\/span>Scope<\/a><a href=\"#nx-sec-chapter\"><span>03<\/span>The discipline<\/a><a href=\"#nx-sec-measures\"><span>04<\/span>Measures<\/a><a href=\"#nx-sec-methods\"><span>05<\/span>Methods<\/a><a href=\"#nx-sec-debates\"><span>06<\/span>Debates<\/a><a href=\"#nx-sec-bodies\"><span>07<\/span>Bodies and data<\/a><a href=\"#nx-sec-instrument\"><span>08<\/span>Simulator<\/a><a href=\"#nx-sec-maps\"><span>09<\/span>Maps<\/a><a href=\"#nx-sec-standards\"><span>10<\/span>Nexus Standards<\/a><a href=\"#nx-sec-research\"><span>11<\/span>Research hub<\/a><a href=\"#nx-sec-hub\"><span>12<\/span>Hub<\/a><a href=\"#nx-sec-profile\"><span>13<\/span>Methods and standards<\/a><a href=\"#nx-sec-frontier\"><span>14<\/span>What is changing now<\/a><a href=\"#nx-sec-courses\"><span>15<\/span>Courses<\/a><a href=\"#nx-sec-also\"><span>16<\/span>Also taught here<\/a><a href=\"#nx-sec-labs\"><span>17<\/span>Labs<\/a><a href=\"#nx-sec-technology\"><span>18<\/span>Technology in this area<\/a><a href=\"#nx-sec-ladder\"><span>19<\/span>Achievements<\/a><a href=\"#nx-sec-pathways\"><span>20<\/span>Pathways<\/a><a href=\"#nx-sec-practice\"><span>21<\/span>Where this is practised<\/a><a href=\"#nx-sec-foundry\"><span>22<\/span>Practised in<\/a><a href=\"#nx-sec-connected\"><span>23<\/span>Connected disciplines<\/a><a href=\"#nx-sec-ecosystem\"><span>24<\/span>Across the ecosystem<\/a><a href=\"#nx-sec-across\"><span>25<\/span>Consortium<\/a><a href=\"#nx-sec-references\"><span>26<\/span>References<\/a><\/div><\/nav><section id=\"nx-sec-stage\" class=\"nx-section nx-as\" data-as=\"wide\" data-ra-wide=\"true\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-stage-h\"><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\">Model<\/span><\/div><h2 id=\"nx-sec-stage-h\" class=\"nx-section-title\">The model, step by step<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><section class=\"nx-sc\" data-ra-scene=\"climate-science\" 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id=\"nx-sec-scene\" data-sc-band=\"true\" aria-label=\"The model: From a degree of warming to a changed return period: how a shifted distribution turns a rare heat extreme into a common one\"><div class=\"nx-sc-stage\" data-sc-stage=\"true\"><svg class=\"nx-sc-svg\" viewBox=\"0 0 1047 684\" role=\"img\" aria-label=\"From a degree of warming to a changed return period: how a shifted distribution turns a rare heat extreme into a common one: the model, the standards it teaches and relies on, and neighbouring disciplines\" preserveAspectRatio=\"xMidYMid meet\" data-nx-z=\"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\"><\/svg><\/div><div class=\"nx-sc-intro nx-sc-bh\"><p class=\"nx-sc-eb\">The model<\/p><p class=\"nx-sc-bt\">From a degree of warming to a changed return period: how a shifted distribution turns a rare heat extreme into a common one<\/p><p class=\"nx-sc-key\" aria-label=\"Key\"><span><i class=\"nx-sc-g\" data-k=\"data\"><\/i>Data<\/span><span><i class=\"nx-sc-g\" data-k=\"model\"><\/i>Model<\/span><span><i class=\"nx-sc-g\" data-k=\"gate\"><\/i>Gate<\/span><span><i class=\"nx-sc-g\" data-k=\"decide\"><\/i>Decision<\/span><span><i class=\"nx-sc-g\" data-k=\"std\"><\/i>Standard it teaches<\/span><span><i class=\"nx-sc-g\" data-k=\"dep\"><\/i>Standard it relies on<\/span><span><i class=\"nx-sc-g\" data-k=\"disc\"><\/i>Neighbouring discipline<\/span><\/p><\/div><div class=\"nx-sc-player\" role=\"group\" aria-label=\"Step through the chain\"><button type=\"button\" class=\"nx-sc-ib\" data-sc-act=\"prev\" aria-label=\"Previous step\" disabled><svg width=\"14\" height=\"14\" viewBox=\"0 0 14 14\" aria-hidden=\"true\"><path fill=\"currentColor\" d=\"M3 2h1.6v10H3zM12 2v10L5.5 7z\"\/><\/svg><\/button><button type=\"button\" class=\"nx-sc-ib\" data-sc-act=\"play\" aria-label=\"Play\" disabled><svg width=\"14\" height=\"14\" viewBox=\"0 0 14 14\" aria-hidden=\"true\"><path fill=\"currentColor\" d=\"M3 1.5v11L12 7z\"\/><\/svg><\/button><button type=\"button\" class=\"nx-sc-ib\" data-sc-act=\"next\" aria-label=\"Next step\" disabled><svg width=\"14\" height=\"14\" viewBox=\"0 0 14 14\" aria-hidden=\"true\"><path fill=\"currentColor\" d=\"M9.4 2H11v10H9.4zM2 2v10l6.5-5z\"\/><\/svg><\/button><span class=\"nx-sc-ticks\" aria-hidden=\"true\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/span><span class=\"nx-sc-pl\" data-sc-pl=\"true\">7 steps<\/span><\/div><aside class=\"nx-sc-insp\" aria-label=\"Inspector\"><div class=\"nx-sc-tabs\" role=\"group\" aria-label=\"Inspector views\"><button type=\"button\" data-sc-tab=\"model\" aria-pressed=\"true\" disabled>Model<\/button><button type=\"button\" data-sc-tab=\"step\" aria-pressed=\"false\" disabled>Step<\/button><button type=\"button\" data-sc-tab=\"std\" aria-pressed=\"false\" disabled>Standards<\/button><\/div><div class=\"nx-sc-pane\" data-sc-pane=\"model\"><div class=\"nx-sc-is\"><p class=\"nx-sc-eb\">New 100-year level above the old location<\/p><p class=\"nx-sc-big\" data-sc-out=\"x100new\">8.70 \u00b0C<\/p><div class=\"nx-sc-curve\" data-sc-curve=\"true\" aria-label=\"Return period (years) and probability ratio (x) against Global mean warming (C)\"><\/div><p class=\"nx-sc-p0\">New return period of the old 100-year heat; Probability ratio; Return period at the chosen warming.<\/p><\/div><div class=\"nx-sc-is\"><p class=\"nx-sc-eb\">Set the model<\/p><div data-sc-sliders=\"true\"><dl class=\"nx-sc-kv\" data-sc-params=\"true\"><div data-sc-param=\"dT\"><dt>Global mean warming since 1850 to 1900 (C)<\/dt><dd>1.2 \u00b0C<\/dd><\/div><div data-sc-param=\"a\"><dt>Local amplification (local shift per degree global)<\/dt><dd>1.5<\/dd><\/div><div data-sc-param=\"sigma\"><dt>Scale of annual maxima (C)<\/dt><dd>1.5 \u00b0C<\/dd><\/div><\/dl><\/div><\/div><div class=\"nx-sc-is\"><p class=\"nx-sc-eb\">Results<\/p><dl class=\"nx-sc-kv\"><div><dt>Shift of the local distribution<\/dt><dd data-sc-out=\"shift\">1.80 \u00b0C<\/dd><\/div><div><dt>Old 100-year level above the old location<\/dt><dd data-sc-out=\"x100\">6.90 \u00b0C<\/dd><\/div><div><dt>New return period of the old 100-year level<\/dt><dd data-sc-out=\"Tnew\">30.5 years<\/dd><\/div><div><dt>Probability ratio<\/dt><dd data-sc-out=\"PR\">3.3\u00d7<\/dd><\/div><div><dt>New 100-year level above the old location<\/dt><dd data-sc-out=\"x100new\">8.70 \u00b0C<\/dd><\/div><\/dl><\/div><div class=\"nx-sc-is\"><p class=\"nx-sc-p0\">A teaching model with stated values, not a forecast, an assessment or a warning; the amplification, the scale and the shift-only assumption are stated teaching values, and real attribution uses fitted distributions with uncertainty ranges.<\/p><\/div><\/div><div class=\"nx-sc-pane\" data-sc-pane=\"step\" hidden><div class=\"nx-sc-is\" data-sc-step=\"true\"><p class=\"nx-sc-eb\">Step 1 of 7 \u00b7 Global<\/p><p class=\"nx-sc-p1\">The global mean surface temperature anomaly, about 1.2 degrees above 1850 to 1900 in the 2011 to 2020 decade, is the chain's input. It comes from blended land and ocean records such as HadCRUT5, with an uncertainty near 0.1 degrees for recent decades.<\/p><p class=\"nx-sc-cite\">Morice et al. (2021), Journal of Geophysical Research: Atmospheres 126, e2019JD032361; IPCC AR6 WG1 (2021).<\/p><\/div><\/div><div class=\"nx-sc-pane\" data-sc-pane=\"std\" hidden><div class=\"nx-sc-is\"><p class=\"nx-sc-eb\">Standards this discipline teaches<\/p><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-X1.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-X1\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-X1<\/span><span>Climate change risk and adaptation<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-H5.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-H5\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-H5<\/span><span>Hazard family: Thermal extremes<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-H7.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-H7\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-H7<\/span><span>Hazard family: Large-scale circulation anomalies<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-H28.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-H28\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-H28<\/span><span>Hazard family: Climate-state shifts<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-H15.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-H15\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-H15<\/span><span>Hazard family: Glacier, ice-sheet and permafrost change<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-H65.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-H65\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-H65<\/span><span>Hazard family: Planetary boundary transgressions<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-H66.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-H66\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-H66<\/span><span>Hazard family: Ice tipping elements<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-H69.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-H69\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-H69<\/span><span>Hazard family: Carbon-cycle feedbacks<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-H70.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-H70\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-H70<\/span><span>Hazard family: Atmospheric circulation and monsoon tipping<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-H14.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-H14\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-H14<\/span><span>Hazard family: Snowpack hazards<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-M2.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-M2\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-M2<\/span><span>Method fabric: Hazard science<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-M17.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-M17\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-M17<\/span><span>Method fabric: Climate, nature and biodiversity<\/span><\/a><\/div><div class=\"nx-sc-is\"><p class=\"nx-sc-eb\">Standards it relies on<\/p><a class=\"nx-sc-row\" href=\"https:\/\/nexustandards.com\/standards\/ns-1\/\"><span class=\"nx-sc-gl\" data-glyph=\"NS-1\" data-stage=\"PROPOSED\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NS-1<\/span><span>The UNI and the artifact catalog<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/nexustandards.com\/standards\/ns-16\/\"><span class=\"nx-sc-gl\" data-glyph=\"NS-16\" data-stage=\"PROPOSED\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NS-16<\/span><span>UNI application profile (how articles, documents, code, data, APIs and interfaces carry the UNI)<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-C1.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-C1\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-C1<\/span><span>Risk vocabulary and ontology<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-C2.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-C2\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-C2<\/span><span>Risk assessment method<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-C3.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-C3\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-C3<\/span><span>Hazard, exposure, vulnerability and capacity data<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-C4.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-C4\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-C4<\/span><span>Risk data model, identifiers and exchange<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-C7.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-C7\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-C7<\/span><span>Early warning, triggers and anticipatory action<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-C8.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-C8\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-C8<\/span><span>Evidence, uncertainty and provenance<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-C9.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-C9\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-C9<\/span><span>Risk models, methods and validation<\/span><\/a><\/div><div class=\"nx-sc-is\"><p class=\"nx-sc-p0\">The Academy proposes how each discipline teaches toward the Nexus Standards; the mapping is open for review by the editors of the Nexus Standards.<\/p><\/div><\/div><\/aside><dl class=\"nx-sc-figs\" data-sc-figs=\"true\"><div data-sc-out=\"x100new\"><dt>New 100-year level above the old location<\/dt><dd>8.70 \u00b0C<\/dd><\/div><div data-sc-out=\"shift\"><dt>Shift of the local distribution<\/dt><dd>1.80 \u00b0C<\/dd><\/div><div data-sc-out=\"x100\"><dt>Old 100-year level above the old location<\/dt><dd>6.90 \u00b0C<\/dd><\/div><div data-sc-out=\"Tnew\"><dt>New return period of the old 100-year level<\/dt><dd>30.5 years<\/dd><\/div><\/dl><div class=\"nx-sc-find\" data-sc-find=\"true\"><svg width=\"16\" height=\"16\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><circle cx=\"7\" cy=\"7\" r=\"5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\"\/><path d=\"M11 11l3 3\" stroke=\"currentColor\" stroke-width=\"1.5\"\/><\/svg><span class=\"nx-sc-q\" data-sc-q=\"true\" aria-hidden=\"true\">Search a step, standard or discipline<\/span><kbd>\/<\/kbd><\/div><div class=\"nx-sc-tools\"><button type=\"button\" class=\"nx-sc-btn nx-sc-sheet\" data-sc-act=\"sheet\" aria-expanded=\"false\" disabled>Model<\/button><button type=\"button\" class=\"nx-sc-ib\" data-sc-act=\"reset\" aria-label=\"Reset the view\" disabled><svg width=\"14\" height=\"14\" viewBox=\"0 0 14 14\" aria-hidden=\"true\"><path fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\" d=\"M2.5 7a4.5 4.5 0 1 0 1.4-3.3M2.5 1.8v2.4h2.4\"\/><\/svg><\/button><button type=\"button\" class=\"nx-sc-ib\" data-sc-act=\"clear\" aria-pressed=\"false\" aria-label=\"Scene only\" disabled><svg width=\"14\" height=\"14\" viewBox=\"0 0 14 14\" aria-hidden=\"true\"><path fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\" d=\"M1.5 5l0-3.5 3.5 0m4 0 3.5 0 0 3.5m0 4 0 3.5-3.5 0m-4 0-3.5 0 0-3.5\"\/><\/svg><\/button><\/div><p class=\"nx-sc-cap\"><span class=\"nx-sc-eb\">The model<\/span> From a degree of warming to a changed return period: how a shifted distribution turns a rare heat extreme into a common one<\/p><\/section><\/div><\/div><\/section><section id=\"nx-sec-scope\" class=\"nx-section nx-as\" data-as=\"wide\" data-ra-wide=\"true\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-scope-h\"><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\">Scope<\/span><\/div><h2 id=\"nx-sec-scope-h\" class=\"nx-section-title\">What the discipline covers<\/h2><p class=\"nx-lede\">The subtopics its courses and labs teach.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-ra-sig\" data-motif=\"strata\" data-scope=\"discipline\"><svg class=\"nx-ra-sig-svg\" viewBox=\"0 0 480 300\" role=\"img\" aria-label=\"Climate science, variability and change: 0 primary courses open, 4 in preparation and 5 also taught here, across 9 subtopics and 5 connected disciplines. Courses: RAF-110 L1 in preparation, RAN-336 L2 in preparation, RAN-363 L2 in preparation, RAT-234 L2 in preparation, RAN-329 L2 also taught here, RAN-330 L2 also taught here, RAN-335 L2 also taught here, RAS-410 L2 also taught here, RAT-227 L2 also taught here.\" focusable=\"false\" 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\"><title>Climate science, variability and change: 0 primary courses open, 4 in preparation and 5 also taught here, across 9 subtopics and 5 connected disciplines. Courses: RAF-110 L1 in preparation, RAN-336 L2 in preparation, RAN-363 L2 in preparation, RAT-234 L2 in preparation, RAN-329 L2 also taught here, RAN-330 L2 also taught here, RAN-335 L2 also taught here, RAS-410 L2 also taught here, RAT-227 L2 also taught here.<\/title><\/svg><figcaption class=\"nx-ra-sig-cap\"><span><span class=\"nx-ra-sig-t\">Climate science, variability and change at a glance<\/span><\/span><ul class=\"nx-ra-key\"><li data-k=\"live\">Open, 0<\/li><li data-k=\"prep\">In preparation, 4<\/li><li data-k=\"also\">Also taught here, 5<\/li><li data-k=\"topic\">Subtopics, 9<\/li><\/ul><span class=\"nx-ra-sig-src\">Course codes from the curriculum; study levels L1 to L4.<\/span><\/figcaption><\/figure><dl class=\"nx-as-std\" data-cols=\"2\"><div><dt>Faculty<\/dt><dd><a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/earth-environment\/\">Faculty of Earth and Environmental Sciences<\/a><\/dd><\/div><div><dt>Department<\/dt><dd><a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/earth-environment\/departments\/climate-ocean\/\">Department of Climate and Ocean Sciences<\/a><\/dd><\/div><div><dt>Courses<\/dt><dd>In development<\/dd><\/div><div><dt>Levels<\/dt><dd>L1 Introductory, L2 Intermediate<\/dd><\/div><div><dt>Labs<\/dt><dd>Map lab, Trigger lab, Geo quiz, Exposure lab, GeoAI lab, Network lab<\/dd><\/div><\/dl><ul class=\"nx-list\"><li>Climate baselines and observations<\/li><li>Variability modes such as ENSO<\/li><li>Climate models and projections<\/li><li>Scenario families (SSPs and RCPs)<\/li><li>Downscaling and bias correction<\/li><li>Attribution of extreme events<\/li><li>Glaciers, permafrost and mountain hazards<\/li><li>Climate services<\/li><li>Physical climate risk for organisations<\/li><\/ul><p class=\"nx-note nx-mt-3\">Courses in development extend the scope to further subjects: Working with climate projection data and downscaling; Extreme event attribution; Arctic risk.<\/p><\/div><\/div><\/section><section id=\"nx-sec-chapter\" class=\"nx-section nx-as\" data-as=\"plain\" data-ra-wide=\"true\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-chapter-h\"><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\">The discipline<\/span><\/div><h2 id=\"nx-sec-chapter-h\" class=\"nx-section-title\">The field and its scope<\/h2><p class=\"nx-lede\">For climate analysts, risk modellers, planners and advisers who need to read a projection, an attribution statement or a reanalysis field and know its scenario, its model spread and the confidence it carries.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-measures\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-measures-h\"><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\">Measures<\/span><\/div><h2 id=\"nx-sec-measures-h\" class=\"nx-section-title\">Quantities and units<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section nx-as\" data-as=\"plain\" data-ra-wide=\"true\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-methods-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-sec-methods-h\" class=\"nx-section-title\">Methods and their limits<\/h2><p class=\"nx-lede\">Each method is listed with what it assumes and where it fails.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-debates\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-debates-h\"><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\">Debates<\/span><\/div><h2 id=\"nx-sec-debates-h\" class=\"nx-section-title\">What the field debates<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-bodies\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-bodies-h\"><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\">Bodies and data<\/span><\/div><h2 id=\"nx-sec-bodies-h\" class=\"nx-section-title\">Bodies that set practice, and the data they publish<\/h2><p class=\"nx-lede\">Bodies and standards are named so learners can find and apply their published work; the Academy teaches their use and links to the publisher, and no affiliation is implied.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-instrument\" class=\"nx-section nx-as\" data-as=\"wide\" data-ra-wide=\"true\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-instrument-h\"><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\">Simulator<\/span><\/div><h2 id=\"nx-sec-instrument-h\" class=\"nx-section-title\">Run the discipline's simulator<\/h2><p class=\"nx-lede\">Climate science, variability and change's own model, as a live chart: move each parameter and read how the outputs respond.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-maps\" class=\"nx-section nx-as\" data-as=\"maps\" data-ra-wide=\"true\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-maps-h\"><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\">Maps<\/span><\/div><h2 id=\"nx-sec-maps-h\" class=\"nx-section-title\">Build a twin of any place<\/h2><p class=\"nx-lede\">Search any place or open the world; the layers and generators follow climate science, variability and change on the planet map, the globe and in 3D.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><div class=\"nx-ra-map nx-tw\" data-ra-map=\"earth-environment\" data-ra-map-od=\"LgP+LKa6JUZ9BHUqUb+7mXFUA6iQ9+7f28VFj3jp1Kg=\" data-ra-map-state=\"idle\" data-ra-map-mode=\"learn\" data-ra-view=\"map\" data-tw-pip=\"twin\"><div class=\"nx-tw-head nx-ra-map-bar\" role=\"toolbar\" aria-label=\"Twin builder controls\"><p class=\"nx-tw-path\"><span>Earth and Environmental Sciences<\/span><span>Any place<\/span><strong>Twin builder<\/strong><\/p><div class=\"nx-ra-tb-search\" data-tw-search=\"true\"><\/div><span class=\"nx-ra-map-seg\" role=\"group\" aria-label=\"View\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"view-map\" aria-pressed=\"true\">Planet map<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"view-globe\" aria-pressed=\"false\">Globe<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"view-twin\" aria-pressed=\"false\">3D twin<\/button><\/span><span class=\"nx-ra-map-seg\" role=\"group\" aria-label=\"Extent\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"world\" aria-pressed=\"true\" disabled>World<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"anchor\" aria-pressed=\"false\" disabled>Worked example: Casale Monferrato<\/button><\/span><span class=\"nx-ra-map-seg\" role=\"group\" aria-label=\"Mode\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"learn\" aria-pressed=\"true\" disabled>Learn<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"expert\" aria-pressed=\"false\" disabled>Expert<\/button><\/span><span class=\"nx-tw-more\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"share\" disabled>Share and cite<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"tools\" disabled>Expert tools<\/button><\/span><\/div><div class=\"nx-tw-gens nx-ra-tb-gens\" role=\"group\" aria-label=\"Twin generators\"><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"water\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">Extent<\/span><span class=\"nx-ra-tb-gt\">Flood and surface-water extent<\/span><span class=\"nx-ra-tb-gp\">OPERA surface water from optical and radar granules with the twin's rivers.<\/span><\/button><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"soil\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">Field<\/span><span class=\"nx-ra-tb-gt\">Soil water and rain field<\/span><span class=\"nx-ra-tb-gp\">SMAP surface soil moisture with the IMERG rain rate.<\/span><\/button><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"veg\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">Index<\/span><span class=\"nx-ra-tb-gt\">Vegetation through the season<\/span><span class=\"nx-ra-tb-gp\">MODIS NDVI and EVI of the newest 8-day period over the plain; the date control steps the season.<\/span><\/button><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"basin\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">Channels<\/span><span class=\"nx-ra-tb-gt\">Basin channels and discharge<\/span><span class=\"nx-ra-tb-gp\">The rivers of the twin and the GloFAS discharge forecast at any clicked point.<\/span><\/button><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"t3d\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">3D<\/span><span class=\"nx-ra-tb-gt\">Scientific 3D basin<\/span><span class=\"nx-ra-tb-gp\">The twin above: terrain, channels and the cross-section instruments in three.js.<\/span><\/button><\/div><div class=\"nx-tw-body\"><div class=\"nx-ra-map-views\"><div class=\"nx-ra-map-stage\"><div class=\"nx-ra-map-idle\"><button type=\"button\" class=\"nx-btn\" data-variant=\"secondary\" data-ra-map-act=\"load\">Load the map<\/button><\/div><\/div><div class=\"nx-ra-map-twin\"><div class=\"nx-ah\" data-ah=\"twin\"><div class=\"nx-ast\" data-ast=\"twin\" data-ast-state=\"flat\" data-ast-faculty=\"earth-environment\" data-ast-mode=\"metres\" data-ast-od=\"K6alfnk26sxMkmDdim1wu9P63Vd2+EX\/m3\/ilzwF69I=\" data-ast-data=\"Z86r75wQYyXeuGd9sr\/df0B0X3egoEvNnJOJreeMLQs=\" data-ast-exag=\"1.5\"><div class=\"nx-ast-stage\" tabindex=\"0\" role=\"region\" aria-label=\"Digital twin of The Po at Casale Monferrato and the Vercelli rice plain\" aria-describedby=\"nx-ast-twin-help\"><figure class=\"nx-ra-sig nx-ast-flat\" data-scope=\"twin\" id=\"nx-ast-fig\"><svg class=\"nx-ra-sig-svg nx-ast-svg\" viewBox=\"0 0 1200 846\" role=\"img\" aria-label=\"The Po at Casale Monferrato and the Vercelli rice plain: a flat plan of the faculty twin. Terrain 63 to 471 m; River 435 km; Canal 2,280 km; River discharge, GloFAS via Open-Meteo: read live when the 3D twin opens; Vegetation index, MODIS Terra NDVI 8-day: read live when the 3D twin opens; Soil moisture, SMAP L3 (daily): read live when the 3D twin opens; Precipitation rate, GPM IMERG (30 minutes): read live when the 3D twin opens; Surface water extent, OPERA DSWx (HLS): read live when the 3D twin opens; True colour at 30 m, HLS Sentinel-2 (daily granules): read live when the 3D twin opens. Contours every 50 metres from the elevation grid; rivers and named canals by class.\" focusable=\"false\" 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vDPiVBfRQG2dnMuISBv9tNpa5PsjQH62LOMJBDIYRxcmzJ9CMgq6IyIEQTrdmSEuhJKdcgtiYqEIw40SQEPHrtQ8SyIOTsSzA6IcmD99Ew5YqzPO3fEy4JnDcF8xqw27\/MzWEnYsOFdY77ntQ8JgvfQh0tCpxDrgC046w7ptSVNPnoCqyLYZQZ5JPQnAQ3EGwI4NNDQ5w5gtZc9eNTWMCbgpe0NwHzAaulnR44GJdshSXOFfIfAcRv78c0x0OUZyHnaOn+NMjxg+34FaWHVEyXwBRG4tcTL23cDUz5YuxnXxOIubKUk1goMdXyweacqI7BfBspzDMT57Jlwp5aCDRUswPUR8TYEFJKLLibcFsi3IVmE3BJJihP\/vcxfPwljn0hMwywGL7yQ7LnCtANDPtiN5NP3+LnjjhacdGhi3OwvR9BzYwsW3ciqsyikCD10bMJgifvtcDG2kWrG\/EV1yzHkPreOtwqc1MBszksVl5xF8jaBK3mWstL4OMbU0yVjvNIxxR\/HOyYS\/QXDFzhSjLW7ZjcWgSX2g92Cqwk1kQdFO\/NIAm59Evdg+3eO48iqNoIbp6xoi6Q7AldO3D22dL84JOD+gReCIxAgbgEmcGJ3XkE0wJ4w+Ae+KiG7hzsXBusGyJ1eyyq9Bvb75NAnqHBTeTimqF7yn7fEysP4c9K8B38PnMiR2XmwaHeiXsGZOGDwFSfoMMsQCmmsY5\/T4A564u0Hu5zJ933whF6zhX0yPqpDCdrHcBg+V1BTQNnGESwgNMw9AUU0pQKBs3rQzTnGPgubBLa0A0GXU9F4YfUc7sVdykVzS\/Jqp\/LRrCbYrXFdi8tBBhnPTwheA7sXszQEtmIgKOBLme42dKWCfZRQktzBMZKJcgLRgcCyXQoMOEZcZyTndGxYeJKVCr+4P+X7NISdBN+0gl8rx0a6SI7Aj\/Rk\/zgrgDsqB90XzVDnYx21iy+VsB8Zfvl687UbPIZgzxwbcebpcFOUyiHGHvl9j0VlJ\/iMqEm+AEwUxaSPmDEnSEbOvjn+mpJr+7S5EGuYvR0X38iHv8RucgEeVw9wQoRFGTgOzGmIPoYFSi04RAS+Hl4F7yi5tvmWhpxK3ATm6FN1EBWiydo7cHsHb55M3JXbnvIx9rcnjgv8n6sYONYPxi3Wk9vVda3zA+AeWxe6rlPZGoAFZaIQVbkN7L8nYFHjFYBHAxSZoHKujxuERvJmn1jJF3gSJJc6KxKGCM5npI4JpowEi\/lWfRW6qnMjXul41zPWPQHu8GNuc2AJM5acmdyF\/QheNRLtgXRWkHIcvYDxUuCSwVElp8q5QjxaFPzuZdeS52L4Qrrs7Uhf6fMdth8wO1Kf4FuhJEMlTHi8+N9M4Pi2X2E3D5MbVUTB23HuEcHeGqg76qjwv31pB4xg9YGpnemX7YmU4yTOYfsEsWj4CQlb6nAL9DHbnj20Ph7D2MqAfZ8f8ZlnBjvViTfXKGH1QrYFCxNAd7d36OD25Irj4llX2FmLUJvvETz78OdyS4rVeCIPuqwJa38OU1dK9iVwK7G9YiNBGoYCUFKrcnQIGWNcGpDIj3b2INBK+IGU+LBy36CxwZmGxRSHyDIKsE5+7Q8LWcrhtbL5QlDEYYpCUXelWzVwghb0si\/kGmkTZzjjAqdRziuFpGqgecRZVhPOk+2OCKmSN\/teNDaba9KgWGdPZ51bUtTzOxfjAKuTuBPG2kcIWuzUItLlTHwL3YH\/RCB8KtFRhBsLLg3ed6JH68q08d\/fLkRe7OhtqmcOJZgwyNeKtHUggu9slnZu0WIkoPiOU2uVREfxAH2nRjZfZS3rh59T8mHzR\/Xyz5ST49FHPoh0sg\/9K\/Sxy6arkEbrOuQHqlB9RQp1\/D083\/Dv1Z3D\/Fulmt3Iz\/03kT9DqVYr9jFTuQLNc7kjEj7\/jmQbnB+UqylT3BRaunRAN6FwADfzfV+ZDX0zPnrZH1easM5CkzN7yyv\/vpdBiY5MayFxbmZobMGhDPr7KAzd0Xbzo\/T6qNgfbjQc9vteqqD9M7QLxkdSVelKNgkBhzEbXwdVm2owKlei3MkJVZQ7ffVHHU\/0tzKcrF0jVo\/1sW6sBvF3\/8GIjIsb1zf4ybaUrQ09XMRAHyKGr7ZH24f057Y9KETlr\/fU7hxyZu4ztRsJiTi6G5Lab5z2UE4fNo0+avzoB2z43LepsPLrHwCXQ1tvPHfPLtzy61wt\/aRuow7KhrIupf+o\/L5r64yr6OAnZr\/ri06zb4yqT45EJEWxP\/B31rXjb+TVd\/TrgD\/PGrefmJ7fOmf8cF7J+lzQLaxwp0M\/mR2aKJWWS3Iwv25l7YnRfVYiFAiv\/NXXacXvM6++Ft8ftesSbHwK33MDf3vUrkXBz\/oFfPn0O5JUcEb4LB+qOjnUWSCQV+Yn6DaHaupUVnsByviRMbT2Gp9ML2XiDY7s63r77JPxU1u88LlYbCpKmj9ZMp9NI3IW2g+M4VAByQAxLeBuOpISw62yPqrXYCM8f6MfrEfrCJHNLNDcoH1dV\/pBj1mcZapRVMvIEy3H+1ow04sVVR5lSY82a6AeRgCsSP4JQK0ACBpXbVNU9v5e1tYh3AxBW9BHBJgLRMclnu\/QI8T\/ZjLuLRURd5J\/ClxSGZNcuZfJxd8OgHv+6aBfCHhd2J\/C8wK1xccWGQmIDAAJfLczLCuKBT62XoyfJPBwgGlKci9i131aHiK46L89B4DOaOeHf48EOOL5RoKTLeb3B\/E8dfrbNyZrIrC\/FZX9+vc\/yj\/\/+S9\/rv\/0pz\/+67\/9t3\/5r7E7xewxIz9lqDEs4zbpPkMDQwbXzqwdZxRbNaeiAB71gGmKZKHlQlGRYGs2rK6n9PLUoHGbE4yFoZMIgLFlmhr6nciVA8Sx1d3w\/1mCVN8leDRjq9A7h1DJIoXMcuKx9aOsl5pIZgyTI2Ak9o9W+Mh1FaWpD14fXCg+2\/2XQ3ot9qamFykPSJgoYzU8BcDKScnldKsrXB7cggFFMnQBNv5kCBp4XVuW+sFtw74hO5mATvTDT3l8EvA561WSvNdAxiGF2Mdy+l\/QWdjYTgO6HEa0WU1dHfuQkTVVqE8hsedJHhgVyxQNKr30ZqK0q7+Vxqg8bM0tjMO0F5kBw5YJFyxQSUx7WcLutOi4Y4gd33OWlARAMvvj6RJ+qg\/z4\/PsC2Yn9N6yanToHHGhjnuyXY71\/xPIt+CaHcZsJE+mBnhiAUS04DMxYIA4RSDU\/Nc00LXbTPuAFo2WFbIgr6jWm2sZakigwC\/vGLYaFcQ6RDo5Wy8D4rWVjspInTDYLs8H6WxtnSCf+seqrf0ZHdGliYays2ahJekE7io9BBgdlDV1vKFXqetG0uehICdDgx67fF8U6PTfiT0TZAYeD7aqMnZTT51nWKRD8XWQEFHSfRRsLXpEwq4xSLEzMeJUbX4faGYGI1yO9Tw7vOE5KdceR3klvCml3YzxotB3gcojECySbxvPNXA1gtIMn4mxAOEb9wqSJT4fpUKu8Z\/p731HtySXgtSHUc2RjoJ8\/AZK6LxM6r5LfMJJDsGTgUpOEuxeAzF+AqPldFW\/6xegdfO7zCgTwwiHotBpWMnxnHl3j5xm1j60+71B5\/ZsGRAuo+eMTmyHVYLy66mR65hN+BYz5ahgzEtimXmw448FmalOylu1YUSlhwu7LMDDXHdIOtAWjaWyokHIM4CSq6khM9eGQNurBG5OTzE75ld9QF0Q\/u5Wymz7VU2cfjUMc2K8tvu27baHzSw8oErcv8+yFQc3gN9WW4PGww3mdNvvzzRRpDThdnxGBGv9CRtcbRho4N1bFu+xG+6pF+Z0M1ImxEN6tcfoXH8zKSEAOJ6Ua3\/pWXXwupSykjZEku0YOdMdsYkaXvie3AkhNYlJJugbudwawI7GWg1yAYHUyaFOjzQhTki\/53189B4zhV0RjjQUrspF4aIsG5Rp4Ehn13A9Fum2pCcCbGnFQ3Hq321pYyJ04hzflraG8FNBuUgIDSj1s4ynnrAClPdErJ27z8ht3IcRvIUCucH+j6zAAkGdLaJ1N6R3XtlBcSdF48NrjZDwwoeqwcvqv\/QjFijsKhY7xG0Oky6V3rpk1L5mBBUgy\/BbLZM3srgg\/xUN2wdmKDSu1BGLdpjfcExhIJ\/a08U08\/I9qaSG8Cz6Mk9EJIyN1aFAMMNBGWJ4vjehQLVoYWZbNEI9qgbbkWWlpIZBn7pH4LT\/4tQoQoqWmWVLVX7sn6N+9ZxghofG71Ohd8ynPGbQXMwzczVbpESn23P4Hr0\/fHM2jGkYfsbwLr8+WUTYoOxzw5vRY1RS4Q0m8PmFdEcwnhof2Tdm4ZaKuJYi7adm1oGZDcdESRr6TDcMmhrVcoJ8zjZ3sD5vnbLq2r5eOK\/egIdc6fy1hiKAoaf6Zoh9PLAZLP+owb82jzfJUwzJhRD1hoLcLSQzPZuOx8ul7AhLD8IuRAKcMUR47YFIKhr2CDjmY29C7BJe8o6NOGct47D+1r65jnHEL4yNNDwAbxj5mbddtrCC+pUrUG2l4yWv1MBibTLnsK80LkwmBpMhwGN4dg3SiTxvDNfeEc8iYg8C+rHf6jUo9YXZbu94ntobPs2VWkm9YxZszHyG6TYtxWRXYbwtlZZB3BNamsypJoY6BndUD4lG4qEd+6jn0orx6ZXfSjIU3bNEaCe4BzvevGeAh2dSaSEspzCJzbCDE71rdPh49YctuzBwKaeCEUfW+NY1Ru2yytUpJN2iwR4mcDhhbDg\/rhc8gt0Fs5Bbk6CjTOdfox8NYSWgDCcCWofkMmjmepIAvy9liEknePbnTudprh5aW6p0ufhwrXkH5L3t+jRf778rvYNHFV6RGwfk2iMEc2PL2HyS1i+WkafuPU188yhtZVQRxk4yniAcOEBlvbVzEWnYiOPONhJ4n7g4RauVqFXJPOpY7AACCAAJYxvEW51TAlzcdrpDnViOS8hYGeghp\/wv8kaC1oYR4PtOdBPMuuxZqM7h5Wi63SNop4wPYJhixqHGm9crhWJDjYB7MxjNUZ63PptKF7pEN6tQ2o527UMHPslgAU5rNvJ3nuCeHVqzsMvU1C8RjdL7vGuoTi05RsHLOlDLA2TYt1k0OPL6lMjOvYmnlDi+pqeYrkN4FwGQZKzaqryV9qzCUb7UM2TVh3YA7YhruBxtwUpFWTg+8YD+FRvMnpYhrP0BR\/nDCo5gApCA3Ml6zxG\/k\/d2bQLfPwZ\/rcoTIInDLo\/v4EoZCFHuVom4Ub+1dRy49jGTsqQM7l27prGip\/rDEthRxjs4SwdG7O2TaB9oVxDHSrYXaLXrpx\/B1truMw0VW7Z2iN6nFW5OXMxY89Gs0MBFf\/DJtfddgAy3o0WHsRC3+eHd+8vWaf4BcCmZd4eDEtTOQWboYzP3SBxKAK3av8lWUaNZFu2oXz37O7MpimiknopFcwDv83gTrhmVh1n19dStUkx9glEX90yZDsgj0PZOZB22E1\/rX5qLuVI5OAxn0y3O3M2x5f3WZxUxCMAiiqnxjtSJq6YpDF+C0rqPNLa\/Mqh2tNzqZlRmL7wPOhNZMpc7q+uvrFZ5xrLvwFPN4r7SeqW9CjvGsUlj415a7qvA0gVxr\/1e51VkmUsnitb4b+9cZQYiddCPVtTGbinSp0UO7e3zqUyCML\/le8PCvpX6U3lGgynbhlT4eVLAiMTkpbkrL7oaYVyRdGmvNvfr5kAtIheqrJGL\/mi2IhQiqfFWWVx5bXgkQ17fOkZRbhFv+UqTyo+xD2+VtupagYG+YUi6JpzEVGm2ci0InYhCbHmM4kmzkjyBrr3axla7qlKRt\/a1Kj\/hW19Fb0mM5Xn7qLSapxebR+nPKeppld6+elWW3a4zeqW5IjN6D2ZI71QOgTnyl7duanUa\/Evv7qv0OXzqiHbtc9tw1tGmvYM9lmga3\/4\/NGA3v\/VPf\/73P\/+KMwu0WS+7jySjEuwlLNpe0FtPz8IPKsmJ+hr2T5ksNIPXJhAtX5ICU7Fgy3cmMRZLWVgiCYiMrHkz5qVlIRnSQZiAeWGR9CT8gwyEESBvWKWNKl8K2oQ8X\/Z3mcieoqDuQR7ckuloHjKfGERQbSCO2PVMXiLGmjYUG7\/eE8UVnbndW9GDhnadXFgqSxmtio5Xr9QRLQ1b0ZW3btlReOhmUdqoGQvRqiaaVGUWGXWQ\/pClcNf\/6nUsN5DH5cQIlN1WW5UByvwJvViM6NqVkWzqJlpP6T1i5paBiIKus1LLAJ\/x99bniuqaG7QKQjPS81bv75\/cgBIE8+\/sgLxgzD8yjhLokptbyhpl\/eGu1NK9b+Dl07J1yqVKLSHyE2HC4saT3OhAPTbN7ztR\/8B2UlyDWW+ZA7UrZuV63C9lrEpJwBwQgDPboiQ+4rfPU9AHjHpnVzOHIbEw2woHeIWyWSOLWVYAWqNmllcO8XBn82nZE3YIGNUriuTy3kEfdMCYrVxrop5M6xAgdOVhkguLr+6fDDDYp\/GGMH5bP7koY705QP0oI12jhjCMmVf05LNkra9ceOLJKinFJbaAnKacifFs5N4HkcmlGqW8JRLfQJqjDaYNxFunOr\/nqf5NIpDpOw8VfOrU+AvtHHbVUMYFHLqlH9fTkxoAb7emn2CJ+lpUFXoTDZPu76r\/t\/TChclytf7Y9me8+lTDTG3kPf6KSoZYveMofZfpUJ9Q4VWYy7AlJG99NIrY9mirTnsFf3K11THqRthOe2rn8Z8yLMPaidVYVDrKVhvUCtNbuxrPKCUelq9180JMlt80+8JByoFvGlK93T25nwChIxpJvayZwgPECQBIC055ZdcIg5qANe4yL5yNsw13dxcWnPN0fnclcrfA8I8sZHWshuYrNqELGGoAeZ7ar4xGg7SMVJFTDsFBJdQDJVPiZC4McJgAQiFkUKf6mDKrcfp\/pJv0+\/UEECd4vMA2Bl6OHE6SRlWPKojrNpsmyzydw6\/2hb0uCa5rEb9Khe1Jp8ID\/Xnq2NCbQv1gj2zTO4cuTg2PXgtaNT5rRTZAjVEiWgUIGpSeP5c4BMMANqZPuv4fmB9p0itF3kBJHmcA2el6N9urHjk+Y9LlAq7M52wEGEvJwO6o+gDk7ikB4e+DtPrf6+2kSTBjtlcNIn+6nGReiQJIF0yi2ya+UOz+Yeq7ObGDcgepkdrJnPKbWzop0uEMyF8b9pnfutQYTRhR3kj7XJQ04ROHD7GqU3ZQUZVZN+zUcJSd+dUAB5wdkkOJj\/reeDI+EARzG+QfO9whVvw3DiSdrKWbc73dLMdxxTsm6Gg5w+YqLG42ODdfy9b3DOihAWWdNToN+ju6iIMypUXnQKXOyqGSo0mCm1xy8E2NFb\/qnkRQ1BrcjxXf2cUfiG077FOHzaKsRAm3PuvRjXA6a0qT44H7rpGQE2JmSvLFPZ7Ra5qQPrV3V8EIRCADMzABFxy2zndZdWhqJweNRDDrwfhwSgqLbV0V\/fGcSD3l7innGLYIN5ZiYMi7xitHeM7Z6fNooWZaVZyWi84mDYP0gOsSXwb9Cu80qaxzUlXmZKmr42asfKvWF05d3VbtlZ+os8C3Moi7+Q5ZZQjE084fxZXv8E8Qy\/oj2gNBjxYg3mNeEJ7qQZJmxPur4d4+aBCnJA6ts9PJcDZY2L4rQoTWzAuQBI\/GpSeXRlGPLPiAQiWV+6q9rYyGuZyE6ZD\/HtH5Ep0OkUkcXuF8zkgBZuSN2hfYfI2BU9XPUkgpSrRt6hnuh8HoyA8TgFxoDutaQoGSk+BcB1YnPe8zKtug6vA+bi3ZeVYg5rqI1d+JQSacWjd7I3L5MtLEWTpZoKT4BSukSt7FQsrBtqMyvCNCEuvQG70tArVZnoVuLFPy55JMmns2NgW9M59KrV2AIAGGZ+DB7WoJ2ILj6KkrpezbJXbWDnjsDNAmYmBPkjvwp+m7hLrmvZRz2TL2tvQ80pD+G4AUxzlKtNaE\/xm59Frq3oKt2G4Da7IV2PrPKy6hGCH\/DnlkdPiYKSVsWVHr4kWCL\/V4hbyHhjo5ViwEPsJA+obck4I4IdNHZ4jWSrcknsmiYnnnVPtyMqGVmPICUNjQrebIP+S484z+OJtcCSKH5TFXnm2NTuxvpUV19fzcCD1rS+iVYKYlowW5Rl9S3EEZbJ7cJ0xpMEUdfmWY7QpVDoi3t07alQWcAGn+QI\/roZ7sd7Dx7LvIOa+b6lQj0KqmIPq0w324Z2O6fD0sIMezbTtWfmVT7a3bNMmFp3PGyiOMgP\/MLMxjsPndhyalyrFZbVF4uCItE\/GVQRGfzThhziekAQdEtiJSR3Ytiny52\/BcrY\/kUmzEtHLGGZzaTVSHhzTiNIrryQkxJG+cJ60HD8qZRyseWbtSwyk4tLebUcQNUW67OJEe5RW+id\/aG1c2WOlJ7aLtZ6thcdnIgjSgFX5QHE4qRdMaKYE7zr54iGsC7R7lkHRRpy\/pqOgwBDnJAWJAEpxaypbo3a3xClaDLwakQbHGbx3qhtYAezZdtYhse3qqu\/we5Ek5WRD3UlPwbrjYKaSBMTVhrAJq7WZhJ+Z1AWfgFGRMGA5F6x+uskZmar5ZH\/dJlPSbXA6aMjp0iz4uGEcSuuoZJ7bkmhPww0\/7B+CXymIFNLk+u860G5EzjXBIDbxCSxGL5faYx0AOBXTSRLZp2fArGn4RcuPKqft3Vq\/5GlNgYBdXeGzQgdTABsx2yeA2vAc7rN0g1kJ679GAvlN7CvcAjzuCKroUFIyEVS4+uyfXQoIMDV42BB55FLBpeWvYYX7pGbWzXWBF8VGMVkVKRFFYshEFs9JVrcoel9KRE3ZzqD\/RCUuoenr7WZ32XmaIPWjTZEh26cqqBeFXL5sYBi6PHbpo95jGbWwue\/4DSA4L9l3yGL1z4\/+UUMLvmnH7fnBYUoPVOhqzBcRjX3wfSKTdqPQ2kbkZ\/jMCHLJRMq8+S3\/Ho\/sWVrU7JMZu\/2YMlaZCrbLxP1Y7hcNdDJiOIMcVZ3IZkmj5YVuC1GcbUzc9inppsj8jkHwYSkJEEFSJM81YhTBc45hAG8mXlXF8zCFEp1SuB2F+rkAqEucQoi9FVjbc4PbM75lKOjSL4qIQZVky5KHTc6HfUsb7jFm69PQynM1jCaLEeXVOamjC0pHAhzQNQTy0Ct56wTi9vuvQiMehaIpjzO72wZKddQRtkKWGahXl\/xaRz3fNXRYdwUKlRP4oD9Q9WVUqMqN5pFt1uQoAKMEZT\/z51eFonMf3hSByZotA91kWxHnVycx4XfAIRz\/B76TKI\/T4oVwOritQD\/KqEzou2x6vVwjK11t5rio8MPKMPn39AkaC2nKzbL2yQjea9AXaxLGtYFGqGFKQB2nwrVGExKFSblvO0rERnt858FPYoJa\/8lq1z+cSdSGWzVMtffluWwz3wYn9qo6JcYgoSqNKU5AsGNx5aYrvIpaWxqk5AyqX5uqIIikrQsLFcbbxQhM7vPP0oIs1X\/HAnyIY0RTqQdshM3qdLESkyODtql4cGyltSD9bFjREZ7dWjsiLLRL0B9sv9WWBifuv7YsvEPFwzdE47hTTITd4qUnpFlXaYx6hGmVydgppQicOkXSLNWqB0Du4ikxI61o2Tb10LVcZY0vktTvkTvZ\/DcvXY7IbrnEKSMs6Jsf0Q4beoMf2Dbb9SSwDeM1wRkZJPt3OLj3Rn5GS9LLE4TWXwfzEeqFL2uwxiCRU0U6MmUfTRJ+Fc3LjJ9xv0b+C7bvOsT9UmZzlAc75Qn4YyT5n5hDyx08lDZr0XQRtO+rEl+dTOjfstijlG9h1rXhOFphmSw1\/OL3Eqq+o3mJp4lX7iCIn\/+jILpI9gUwBeQOncaSbkOfxq36pD+8zug1\/GzgKxkvH52nj3XIFYIdqyrMN+CEU3pLVbp5Ob4Qz7LIPcH87rzqmrZkn\/GfSAbrIdsXCtKBMwwXVb4iJXpxG2Mm4eBA2UXd66ujgh4a7P02tpI7Rrc4x4JljlSYShtNWO+zXEYQ+GLgZnYVf1t3fZ26S03moAwgGlmnPuKFNQ49Z+O9ZVYDvYfVG4Wi7JyuV9wGTm1QMWHeIOOJdsk7sZeZqIikaF87XAaAvjNmKimNd7Spw7xq9WG2qubpEAQeCxXWJIANpkqy9AuphatX1VKtFu\/AzQmUYhiscxUZOPgufv4sfvGYNRd+hiMfyeMIwXNeuA4nyTMQM9+ML0mu7wgMjsqGoeHsSWaHEjX0HSuIw9rYvL6qP5dSCBB6J7cmx3P6es9A8abd1ZKuO6liMXopeQJt1MVch1nHcQMH2W0VD5ycEy+cUywCLJKn0AG8CimhRsJrlf\/Su8VQ9Q9ZpV5hjyf76IU1CFcxbJ4+q7Zsa3DSHFgQT1C4wgC6ta0M11AV91RMwBA34vGoUB+1C2cm4BaCQADRdVwZjm8p4QGxX6jPy8F6ka1rYYnXh3WlvG3UtGPAqLAE+9hputHv2wLdTNwqe7YAgDEsx0rL2z+IT3QYKcmw1NFlqdcBIDr4L6VfYeMpq29hD5FWM\/HYlWAcDtjvd\/q980cu\/UGgzKn1oRaxL6cu8Ior9rMez4XqQWZxKlAZ+VT6ZgbcyL3PUzjrSiaR69Brnd7a6ewRIHywNFg\/M2AMh1BOHtmpw1t6lTJBBB2wbnJ6oVtJcumjAdQtSadU4rY4ZLsT+fqtoyG0RhVT5WE98qZB66rccIpxZWh2ig5YhRvRNb1cJsosoC\/NxFtQhH17Rj9O1IAS6tb2iBp+dC9260gbKjElTQ6IIV0bpjsg6m+Pk2qnAEJTdWuMXzeu0BYJkhfosDoCcHnsbLzrNcxca66rkGKkDiH4OCRHWMPnBcp2Fi1XzVh6qt+v45aeA+4BGcCDmoIGgMuij\/pLWNCxJwu2oijnKqg5rL3b7laetUN6+9JWscsjSFopLOHK\/JyqYFBJ\/2Hzd8fjBgJV1epLkjjyRJl9yNE+05aX2rErThLI2pz0IyJWlOO2jZE9NhZJmj1xgYYgqj209qV8kf3kMVRbIDY3c9cCzzi63w2LppicyAM8Cr8WCRhzZGaQh6d9gPluefcWJrHGeHGMe\/7WNGQ4xcjZrOWRoQhlplkdNVkSVu73SWqX3Iox4SwGyVsXQJPPxlZ\/30Ys3iigA8y6VrlbUDRgZo9tFdSGxSmByK7P57Yn3euCEdx1ZEdqVIp+VOkfGhXSmZeOFnlVPlKTOkXnEIOXZmO98WlW8z4FYFOKO04QXKhIFNchoMrEQtiUUKtDjziANQovjoTA9q4xVQulr0uOWJ4o8cdaJGRuV1deltQMQ8UCU7It8e8K5dWZm2TO337iqo0ZoXa5eDt1fyeR9755i6C5dmswcq6xa61f18oqLiE9aV93LhvKE3HSwhXfVlRmeZyiTIjtFN\/4Y29iuCT4FDUpskmyDVz1U5jokqcJxELQECfhR6mI0AHq1vxbNq+qy19BtJcVxFfoHGOXaCspOP77AZp19XUWnuRhK1GxG6acjGOgfbWZt2PF+2HmS7vmuJF4pP4gTGzn7VbTsmXQfU63Fnhqbm\/5nhrTLZNuWUszcb4CNpuP3Jc5boas8dtS7OjWi4pF7qGcRnj\/seJXksmwfe6e5qRqnvPWA2TjNvVmtgpYdzEiOqcbBVP06t3h7l6F11Y+n5EHL61X4hqz+gYN5UtXVgNC0WERYZW8fhijxER5kyVa7ojj3SU+eGziTP2LIs5gA0AzjeUYV4VBjn+OBIjO60wFjpKfGBttHycZ3exmS+mR5ae0imnX5pOysgp++3yUUH299ZNXxbDsewRSgJpxQm\/BuMs0ejbKTrgphk9xxQvO09GWr53NxqdUHqOezKiLdgnU85N\/qvbCWr1h7KEFwGGcYtJDVATKKxlABYyk0qpnpDqmPDqrbNAMeXtKCXJ4xdytqqx3i9Y2mHTu0xqmvwhewyhcFc2h7h396lj7kbtcNodIEdCNADu4qEzMMbr6b4iq173UJic4WRicraldth+N4zyi83b95rjxCg1ZxEy++cBEUvdNimKfyVdXLV+Ofm65N3WE9+vrYzYKYj4zlI1Vp9UB5G\/CWeferUF\/Xntqf4UEp1iXOlUh9QOS2WnilRNBIC9JSHLPCFkJxlwWKuml7K32eo96Ct5Kr2rSHHKNBMvfKqNp\/didR3xM37ImOgvhDpmLVJ+xaKux9J4wX2mPSVZvBR+db6QLUe+o1rbxqawVJc7XGdvkWTrd6Z9c6uX7B35LtWM7p8h0ShgimsrLAgEUZswYlPk5J0bR4wiymVGmXyqhfZQHTbUc9QL3LZwwg0wqqqv39bHBnAHU66fupPK7zoO\/UKgpEB4AyahnHgwvQmkLF\/Vp1oHJf2Zw\/3047m23YTNKlS7MzW\/V\/CgzZJCtWvKx1Q88p9GO0LLLQRRG2Qm1Aie18DOC2bFt39ZkQL9h7NGq2ZSjofafZiPpHvd0uQguKgZZiWwkVOwKfd9Y9UEfBecR2B0MVnVZUWfTOodbpMcN2VCd3eZfC5LaanjoufY0xUpJyaIjaXm6jTpxp4ba1QkTeCiX526OWXd0CV9Gp3v7G\/XR7yEXU3z1nkTUqx5gAy+QsqJyxhyJkV0+wn0oLJR6mIqt+o\/6O3ivzjC4rAWejniDJl6tIB6DsdQYiIKDX6gwha7fxoMrZMqghKW1oUVGt2lBUSvQcDgx2twd15MX7TzQiUzEDaeWnCajnxbTwBSef0zuV7NZSNBrZ86eXcRH0ktUI2GeIVrSPgiZE9ZyMipzttwIsp2b7pZWO2lb1jGtqKVzLU2d7sid+TMm+irZ3eQzzXHzJgCLRmigQk2wy5DlHM3nZY00bdW9otPguUQJ7fZS69St45MswYCDqqf3hpFERv3l5A40n\/fUTFQvuqp9Xq5LWuHpShEGh7OXQEopqGbWT0\/3cXY3W0csxBPJ8DL7tvzG8aCJwrXUdlNSy70Mvp2TkqvtOYUMz8kA5yonOe3QV59+FbcjycCaNZS6aMc3CrqNceSwOAbY0Q6kM\/xP6pZm8ashiGzQ9PuoWAb91PVXBI1fa90D1qIU83NWpvB5vrJGRSyBwtobHS2NbCfUpDE9aPHtgRBGrSwp6zQS+Ux1P5ozzOihYgGSjZ9KrgNHmaDPKTl7pezxaLx20YQstV6zDCXlJ9uZ7teJr2\/M8JXhacUA9ACzrzaXaPus64wHfcq4QLWxeVp84o21KHIvX00pFA42eXNzwdL4bWyFof0tXJtWy2Vn4\/YmoyhKbtz5DSp\/00T9NJ2PfdSxIXJdSACo172ieSRkL1QiezL+MZdXx8f1IsjximAlEnHYA7e0aIHTDvLqVU+o86pww5Pb75OXiq2gMsQqC5fpwQjEMtfrsIEmeFDtz9q755Eu87nu3yoz6bAf6vFR9DM24jtTCuMlmZLPWDG\/CeRBPOUfxhgpUxW5KHuyJ6u99AuxmGIxCnVETulL2R5kijtJRGBJR9VCE++o2ikDWUQ6OozcVrlPBtIJifiz2yjO\/psN6832mRgo+LC5GcJCboP+M+u72kqpcdkeY2vMk5+26DUsc65xdUZhZ6KPdlzED2inm5TkLy0gyV9ClOs+HQucvDKDKCOogP+\/F+TaKaH29fXPRBu3R90w+OlsGy7NAc2+p2s1nGDSzgGKjpa0x+r2rZB\/WGEesRtvmeJvTLhdBiu7xV4bauH66zO7jyKd33RhPNj1LsEasQjNkzHNVHtB8IH6HWsPrS5DQvFrFMOL8lB2QelqjbnwIq\/UadM4EmHAjQK4B5ixNo6uOoRwZR9SDRwmJ76dZBqN570AlqkWlJFpzurNwRe4Ipp6mTkDI1EyqsLk5PRKVvFGP5YD6mNbJweoeqIXaLtqP1BOY2G624ZedRAKlZClSxAB0NIJy\/XpcYOXTOfO704cq2bU1zTzcVHZuCtNpRYuKFnPtXmIYUfHAueIW2CqloSFqtnu6ut8FJEe1Zw1i4A2KF2kiMtDJanjX1MdLvKzHSO3PzCZpEAlZDrNV2Lhumirq4ijb6gKbeEl29b4WHQpf5zdREKdLbhRNE2HUAsSOFrKnfD3r7HbwkK7nouEn04kB6Tu5WLGrb9XWRsdl63oP6KZ76xAFbJ9m2aOSU53rbOAeDsjy2dt4o5e31sOqT7FUlruCIvLMq5mW5AmYDQHbgfqak4VaVd3ZDwC1di52vXcp37Ke7FIQPfBOr4PhO5u71MVm9wPRJoWhnjIX5wEST8oUo4W3pU2KV2vxyLyaGDqwN5LmDUwmau\/cn4n23xpY+S4jq6fnQXRj6G+X0h\/XH0uK1yV+tfI1sxGDWoca7VhET6q6d2a+0cRrv8QSbVXM2BpfX0Wt7GpXzexIFpmvWtBTOsiv6IyPgTcJkmWdBD1a3kPjU\/lZWN9PNm2kI7B\/rZKNxwPjstFeYrpImTr65oTMmXTxkMq5aSe1Rdkdz9UhAgjdBW8aCNNjnYgkYjj2evj1aiea3sH61Whe11AqlaqsBx88BVKMAim1e2OVyd6BrWHfQKbxWpOQtgLMGlnY1V2h+PLuVaHO6BIB+OWj3sVMkIIOSoAgAa9e87iuBkYczWXfaj2b+FrGIVBIAysfSa6RgCYGX6hiDU2WtUV96fGSQ87DDM8OQDNqdShDuQdTz9SRGYTu+PVqdtOVKyy7nqMaTHKvjGHRO0w0FMaJo9GQur2sOPnzAIS8FYsDcaaWPOEoAYoZELf46Hhtn0B1jFy1F\/Lq6azsG8zgPP\/dqd\/X9XcVcwRzWHvOVtT4tot3j7TQNuesbOShZNu1jjzsVfyK+Ug7rs4a02lnjWyfZvXXKVtfV0F7JqXv1NkbHVTjOYVox54zukR1gbseB+pnjC9rhcpPWQ+ad7ARyB0DOQLzGcYyRDfYEwbMI47O6GdYb95dZPTsrM4MorRqPyvKxJBB9YXezORRL7P+Thjzma0OXSPjLbO1M1qVaLG0rzY65jo1mpzVqewdmkd+u4hpOO9qHQ49A76X8YW3kHirPE+VKSgHmRbgHaJI63C0uPGxGw2ffS3ebxBLSeCx2Rs82gFJ9qc3vd6sYhUuFDK72Lg9zz6A5uCtS9shXYJqSsxO8oUMW38N4lpoA0Ton6Awqrr+jn7TKxmrloUG8vJuZfCEGMl7pjtZZ1Thy2zKNgGDZGeDKFJuoEHIoFq5uxnRwXKikXeKXFK1ZDR2tb3fU9HS0CBX3rGkrsiBDnVPsdxP3aAm1iYbo6hNOE8EQp5NUKdQtD+DWevpDdUUlGlArb0RjhWoRMNKDQFVhM\/WaS96Tq50nZg0kz2uDBIl66FapvqcY7VCe6oKiFVleZMyXXgqsHDZBWf\/83kJRie6ICrnrWXWI1omWhH789altJsBS9HgJPh0O7RD+cs9oT9r2Y2jIw\/qLi+wxl0tIZieSl9F7rtyRmOWqww2OSmPvB5X1s39VOmeAnsCjTb1T+3v1CZ1fbmSXkrIkeerVRyh5qarpfLwfaot7KyC2IivSl2sQ8RIOZRVz2pAz97iR95H47\/5eOQOdKn5ylEjzNnjRZJBDEOkPRmqxlZHILEBa9nAqd3otXcUTtbUOxo6pU2ai+w4b0JwxpJVpRgX5VGv9B3N3JFtGjj\/Do0HopBDwFsygkD9ceHV47hqezGLF96HKhss0+rvtAHF0UZmX5QvGei761vGttnLDxVZ68ofejaUk2w2oPCfCngeg+k1fXkKj3ZYXGj0E7DkSVXG1fV2xzEXXo7blcneYRZTMSp2BFEeD6LghtG5ycz603mSVflxmwKCNFzpY95CN8dyJWnP41+Um1FgT2pfEKtgE1dHGZvW2G9t4CPXuSwjZWACmoKyS+NeptW7uKVHg4VtqvH5G3PtMqfxWpgsI0Vd7VI1Ttu9mqGN3zoE97sDhXZp1RAt3oKz8Q54OWcnlC1s1n62X52uXX7F4Kccs+waDpgG0LfYYzHLlCr7yUOk6OoMf58VYxHarjyzm0K7RHN0Or28tlw7OtN7bxWtrp5Ns5ir0x2noLkZMDWtT1dyNCMP1rn6qWlco1ivcWTiHRUVINH+peY0sjHxjnD6VTBAm1706i7O++JbwGQVpyrd4KsUfJxzy6+CBA2ElJ\/uPVGm5VXm5DG\/CcZT0kdWtzdQk9uyHIV2T+j3Pt1MFVnvkvI86NlcBtCr7Mn3Wr2ikf1eSK2\/+GpnRh4hcmh5lpdmBfpQbB7kKM6jS3MiPxUKGVaGMHriRM+86sTUfPvWBkcmKVa2RysqrW\/WTmWV12YMFXmQagz5irLPcRGt3EE017s3tryPtqbuE70ykYW5+EhFBZnNGJJmsF417DuOwwDRpLVd2oZtJyMk+dZW2YDqc8rDdLZKOItIBq\/eqK7sd1qTezXpqYXqSjc80ZKlRXt1CMkb8lpXiCglyhuFawP7yzM\/7aS5sxlMQ+TcPEeavcp2Dfb0gH4v7Y67i7Lw610aKAvOrvcTcZafw2PIs4oTZGf52chqYvMiajy1GRKDlN1VLsTC4PvHu12x9v+pkgeyGPprCDhHh1XX07y6tffEmRpe2mqJmbbwfTY6ONAJK8VCMR2DYccledHDtC3kZ34tKNSPzrVZ4C7PykbafNX889Uz\/kJS3UbuncfZ9ai8s6frdcjEtC\/oIhIyjeDz1YR6Tu9yCBAuTtBLXlXj0tnrlJbFtgD6mjcP1la+PAtlnUN00fee6iZbUne4IZEQa1CoBJWVUvhIG4Y5a19xCh5FNMM+c1zYzPmdKHW0aZA4CkwJ0GLEwtX2g3xMNZCtNvvO7lVzeNSHhyTa8HEEye2DM59qHWKyNOJqS4AG08oSTWrZ2ZJR1QVH8q5WhXEilYfU6nqt4SRqu4+zDvivZdRu2NTUFIuhyI+aAR2S3qJbotcCvMuYB\/EeBAFpmxEk0wSfNobDx4OlV8VAz+lCOAnLxEAKlZj6+rmOfNiO7ljHRl7R7LrOaOfA0svwPj1RoooEiLedCTPQfWqeBa1ma5UV\/JtE0X7WBr+6IykElZRpRhAyjtmKucR5mnaH+sgXy7aYuyzJY3o5i+dSRPd2BUTWzEZQFCVz3tpfObRevZ+eAF7TTD7Uf4wA3MHwx5pba++p0yqdk2Q4simTsqvVXLDtp21jmcZpDB1PhZoNQvbsnAEVWp2h7vlWrEiGJBpVvfTU7f0g0ERH0Qg92tN7AZqUXxwbt1L4ehpGnD6vHEHDq7uTeyw4zw\/aq\/u6CVLOjizI7AJVMeMabUcUwtZmVJOjnLS9otx6Hx9HC5ILBTQs0rXMB81eeTCiBZAv0dI0Pw46NRJBc46Bo0Oy1sA0Ya96++H8Y3S9e7e2cebrRBMqAY2cdnPk7DiPWZ+ZLQLltHJ59TRs3j3zgpEHGQI81cB+8YNUljSan4XHvA51uxvleHNasTrap54zoLTxA1nKiuNkvLzOUUT1XYQ89ePsIvMW+uST6\/\/k6MQ48aXO6sWRWkmkMswP0OMcPCHgc5o1AQ0tpIeFup5m02YciLSimbuXP+pRKo8rN+TqbX6q2rpBFDI9K9nu7V56ujaA9Olodbx7lNGfq3GblUjGwRV67pBdwBvqOJRXTCq2riWu9NijveMkTVzLrlA9TmDTQ0ysoeYpWs8WMZbMdm2Na1MLi1gpkwkQ5NqNX7wggfNIqsDydXWYFBl6E0hXX3m0AdXdNnTVUwLvKiNTVzihGBSyL0ibPh5oQ+PCYwWKZKuJEG+7KV4G0Y11Q6mC9jzdlQ1LNLRGAYqRzRrzjIVKVzBMfmyGClM\/DpxUE2knNWynQqxevVrQr91i0TkFtvh99GyE4R0P3IZoxEYPSmn7OU604nheeaScrp5iyjM7+UFbmfadpyfC2FqDKPdg09uhuvNwEkhaz3SDrHkWG9x8I4Yje+kj4Hml63kWPQ57FkuJqGxXaqxAPLoNZKpwT58X+6G+ZkMMHXSwEWQqVejZNig6HHplUtOEZCXEFeJ61kca8zpUcL5sij1GWboGYKoVU8GpQ31+NIM2Z+u753EycvrWuhHTAIPnPNsVJ9u+Ks3rSDa1ZSI2h7n9TtZBmq88CdVP2uExFH1oCw5LSdPDLYTi9ZyDoKyIOgWrqvRxfF5Vcw8jBvXd9NwaBZqXGybde7PHOdLaj0nreK62FfNiTbpDZvRQWSujXaTdL\/c83KOGmFypI5JUPXwCzB5VaAEqN+jLJ8gIGNE+ptF7cRIN5Fm2ZtShSPNTkJf26ysyEcC5JbIaTa0d0LafE51jyU77IOuOGMHkOs0LdaeOsizNZ++aNNa8wpIsoXn1Cr5zW6o3Qj6ns64SRxbJUGae09BNnuvWNU8RULWnx8zSHsc5Lf7oCquseYkITu\/99lGv3a3XWB\/Rci36KyptsVTOkXWd4azkJcUXOjrIWiuR\/WiX6x5Ki+bnhRSaeX4j4MwGQY4ysNuipXnqLV\/VEWms+ETHRpf06fJv9xnaKnBWVb1YcZShQkpFqnZr21pb2lJ9QRm3kg41Aze5ZZfdI+c001j68NpL\/dVCfiQNoQ6UpFUZG9Km6DjzmLBOGfHQkczQvKleWYuSvLPevo6FClHc1EgDLYQ8cPbIXQ+osbLD13N7bx1gi\/zV4u61UpAasiRXr6msV9HnbG5hyh3TQ\/A0DMZrPZAhMMRj0SXIItzVy2M1seRQuVaEeAP\/0zLZtqkGlH5m737VgKzmTaq6Y+zbXiO0Ht5xQ+mtbR2WXZxmJV6vRhG9Z0ln++jopnBkneYTn1dri\/YTU3Bk4unAND3sLdrk6DJdUD8ZU\/DqmSRxIkt0w7D2u4onPdFuDhBi106m7bRScsi3K+Ztfrm5e2eraxrT\/qEyqMlVxoM0bmZ30KGtN8Phe8RvPr4YcoxOJPj5a9W29tn1KjWzKPcQZe+g7skeP+LgZL3P+ru7OdF95khxcGo\/pUNCq\/M+tISnDYgJphMVu4mpRDt6nbd3t206jZHVLhykikrLNxqbun6tMnku4BKc9SoYoeXsUSx7nfjNJVt3WCyx9ke\/ZQiTtVyiaAyTx++6T1x6xHOW3PHbWysy6LczwuUCGdVqa7NbGdbD3ig\/ryXBkYjWr9\/mYKe8Ng501mFXGTb3q1+shHjFwtu+otmrK+8UoR\/ZmdRc5KtZmkSGCx2G2fNHlSEC7Y+BpZoljlM5Qln2H8ZrzTqfqCFU5ZFqslADaFdQNe8iAZPk9U1D9HiBHcwNtp1ibNv2Ubg\/e6mltBYX1JTrM7FaRMAjGnxY98+5zBwB3lY0XIOPmQ0Z0Ubj5cfKGr0aad7yQz2eb3AcyL1TW2wbxk4722jS4JKEvupol5PL0jWvR9JUXyHcUfmKXPuHNUb380Ij2mlEcGiGvCuFNbI7Kw6fUf\/47I+jQYe1KhmqcAriowNN6SG6laJJ6ACvK2afyWFUunpqhhBLC94eqmNnzRlAzFcz74dKnO3Kd6MHDflGX9eJoOflT8Mtral4inhYU3ueEYMyHcMKGGdiZRby+um6e15dajHXfVXly1qu3EBaWfu3FHMKscg+T\/J8u3jmMK9D89of\/+m\/\/L8=\"><title>The Po at Casale Monferrato and the Vercelli rice plain: a flat plan of the faculty twin. Terrain 63 to 471 m; River 435 km; Canal 2,280 km; River discharge, GloFAS via Open-Meteo: read live when the 3D twin opens; Vegetation index, MODIS Terra NDVI 8-day: read live when the 3D twin opens; Soil moisture, SMAP L3 (daily): read live when the 3D twin opens; Precipitation rate, GPM IMERG (30 minutes): read live when the 3D twin opens; Surface water extent, OPERA DSWx (HLS): read live when the 3D twin opens; True colour at 30 m, HLS Sentinel-2 (daily granules): read live when the 3D twin opens. Contours every 50 metres from the elevation grid; rivers and named canals by class.<\/title><\/svg><figcaption class=\"nx-ra-sig-cap\"><span><span class=\"nx-ra-sig-t\">The Po at Casale Monferrato and the Vercelli rice plain, Italy.<\/span> Flat plan of the same data: relief as contours from the inline grid, rivers and canals, and the numbers below. The 3D twin opens on devices with WebGL once its data and library have been checked.<\/span><ul class=\"nx-ra-key nx-ast-key\"><li data-k=\"terrain\">Terrain 63 to 471 m<\/li><li data-k=\"river\">River 435 km<\/li><li data-k=\"canal\">Canal 2,280 km<\/li><li data-k=\"live-discharge\">River discharge, GloFAS via Open-Meteo: read live when the 3D twin opens<\/li><li data-k=\"live-ndvi\">Vegetation index, MODIS Terra NDVI 8-day: read live when the 3D twin opens<\/li><li data-k=\"live-soil-moisture\">Soil moisture, SMAP L3 (daily): read live when the 3D twin opens<\/li><li data-k=\"live-rain\">Precipitation rate, GPM IMERG (30 minutes): read live when the 3D twin opens<\/li><li data-k=\"live-surface-water\">Surface water extent, OPERA DSWx (HLS): read live when the 3D twin opens<\/li><li data-k=\"live-hls\">True colour at 30 m, HLS Sentinel-2 (daily granules): read live when the 3D twin opens<\/li><\/ul><span class=\"nx-ra-sig-src\">Credits and dates per layer are listed under the stage. Relief in the twin is exaggerated \u00d71.5 for legibility.<\/span><\/figcaption><\/figure><p class=\"nx-ast-help\" id=\"nx-ast-twin-help\">Drag to move, right drag or Shift with a drag to turn and tilt, Ctrl with the wheel to zoom. Keyboard: arrows move, Shift with arrows turn and tilt, + and - zoom, 0 resets, V steps through the views, Escape clears.<\/p><\/div><div class=\"nx-ast-bar nx-ah-hud\" role=\"toolbar\" aria-label=\"Twin controls\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"open\" data-variant=\"primary\">Open the 3D twin<\/button><span class=\"nx-ah-status\" data-live=\"true\"><span class=\"nx-ah-dot\" aria-hidden=\"true\"><\/span>6 live layers, checked 19 Oct 2026<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"reset\" disabled>Reset view<\/button><span class=\"nx-ast-group\" aria-label=\"View\" data-ast-views=\"true\" data-ast-default=\"a-instrument\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"style\" data-ast-style=\"a-instrument\" aria-pressed=\"true\" disabled>Drawing<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"style\" data-ast-style=\"b-daylight\" aria-pressed=\"false\" disabled>Photo<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"style\" data-ast-style=\"c-holograph\" aria-pressed=\"false\" disabled>Holograph<\/button><\/span><details class=\"nx-ah-menu\" data-k=\"places\"><summary><span>Places<\/span><span class=\"nx-ah-n\">4<\/span><\/summary><div class=\"nx-ah-pop\"><span class=\"nx-ast-group\" aria-label=\"Views\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"plain\" disabled>Vercelli rice plain and the Canale Cavour<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"hills\" disabled>Monferrato hills<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"sesia\" disabled>Sesia confluence<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"whole\" disabled>The whole box<\/button><\/span><\/div><\/details><details class=\"nx-ah-menu\" data-k=\"layers\"><summary><span>Layers<\/span><span class=\"nx-ah-n\">8<\/span><\/summary><div class=\"nx-ah-pop\"><span class=\"nx-ast-group\" aria-label=\"Layers\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"overlay\" aria-pressed=\"false\" hidden disabled>Analysis overlay<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"terrain\" data-ast-delivery=\"inline\" aria-pressed=\"true\" disabled><span class=\"nx-ah-sw\" data-f=\"terrain\" aria-hidden=\"true\"><\/span><span>Terrain<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"rivers\" data-ast-delivery=\"inline\" aria-pressed=\"true\" disabled><span class=\"nx-ah-sw\" data-f=\"lines\" aria-hidden=\"true\"><\/span><span>Rivers and named canals<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"discharge\" data-ast-delivery=\"browser-direct\" aria-pressed=\"false\" disabled><span class=\"nx-ah-sw\" data-f=\"live\" aria-hidden=\"true\"><\/span><span>River discharge<\/span><span class=\"nx-ah-tag\">Live<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"ndvi\" data-ast-delivery=\"browser-direct\" aria-pressed=\"false\" disabled><span class=\"nx-ah-sw\" data-f=\"live\" aria-hidden=\"true\"><\/span><span>Vegetation index<\/span><span class=\"nx-ah-tag\">Live<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"soil-moisture\" data-ast-delivery=\"browser-direct\" aria-pressed=\"false\" disabled><span class=\"nx-ah-sw\" data-f=\"live\" aria-hidden=\"true\"><\/span><span>Soil moisture<\/span><span class=\"nx-ah-tag\">Live<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"rain\" data-ast-delivery=\"browser-direct\" aria-pressed=\"false\" disabled><span class=\"nx-ah-sw\" data-f=\"live\" aria-hidden=\"true\"><\/span><span>Precipitation rate<\/span><span class=\"nx-ah-tag\">Live<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"surface-water\" data-ast-delivery=\"browser-direct\" aria-pressed=\"false\" disabled><span class=\"nx-ah-sw\" data-f=\"live\" aria-hidden=\"true\"><\/span><span>Surface water extent<\/span><span class=\"nx-ah-tag\">Live<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"hls\" data-ast-delivery=\"browser-direct\" aria-pressed=\"false\" disabled><span class=\"nx-ah-sw\" data-f=\"live\" aria-hidden=\"true\"><\/span><span>True colour at 30 m<\/span><span class=\"nx-ah-tag\">Live<\/span><\/button><\/span><\/div><\/details><span class=\"nx-ast-group nx-ah-time\" aria-label=\"Time\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"earlier\" aria-label=\"Earlier date\" disabled><span aria-hidden=\"true\">&lsaquo;<\/span><span class=\"nx-ah-it\">Earlier<\/span><\/button><span class=\"nx-ast-date\" data-ast-out=\"date\" aria-live=\"polite\">Date: newest<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"later\" aria-label=\"Later date\" disabled><span class=\"nx-ah-it\">Later<\/span><span aria-hidden=\"true\">&rsaquo;<\/span><\/button><\/span><button type=\"button\" class=\"nx-ast-btn nx-ah-tomap\" data-ast-act=\"to-map\" aria-controls=\"nx-sec-maps\"><span class=\"nx-ah-pin\" aria-hidden=\"true\"><\/span>Open in the map<\/button><details class=\"nx-ast-cred nx-ah-info\"><summary aria-label=\"Credits and data dates, The Po at Casale Monferrato and the Vercelli rice plain\"><span class=\"nx-ah-i\" aria-hidden=\"true\">i<\/span><span class=\"nx-ah-it\">Credits<\/span><\/summary><div class=\"nx-ah-pop\"><ul class=\"nx-ast-credits\"><li data-ast-layer=\"terrain\"><strong>Terrain<\/strong> Surface height in whole metres on the plan's grid of cells about three hundred by four hundred metres; the Monferrato hills reach about five hundred metres <span class=\"nx-ast-cr\">Produced using Copernicus WorldDEM-30 \u00a9 DLR e.V. 2010-2014 and \u00a9 Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA; all rights reserved. read 2026-10-17.<\/span> <span class=\"nx-ast-est\">Estimate: A digital surface model: trees and roofs are in the heights. Relief exaggeration is printed on the stage.<\/span><\/li><li data-ast-layer=\"rivers\"><strong>Rivers and named canals<\/strong> The Po, its tributaries and the longest named irrigation canals of the plain as centrelines, with their length by class. <span class=\"nx-ast-cr\"><a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\">\u00a9 OpenStreetMap contributors<\/a>, ODbL 1.0. data as of 2026-07-15.<\/span> <span class=\"nx-ast-est\">Estimate: Centrelines as mapped, simplified to 25 m and capped at the 700 longest ways; no discharge or width is implied by the line.<\/span><\/li><li data-ast-layer=\"discharge\"><strong>River discharge, GloFAS via Open-Meteo<\/strong> Daily river discharge with the member range for the next 30 days at the plan's cell, and on click anywhere in the box. <span class=\"nx-ast-cr\"><a class=\"nx-link\" href=\"https:\/\/open-meteo.com\/\">Weather data by Open-Meteo.com<\/a> (CC BY 4.0); river discharge: contains modified Copernicus Emergency Management Service information 2026 (GloFAS); never a flood warning. Live: this page requests flood-api.open-meteo.com when the layer is opened; the data date is printed with it.<\/span> <span class=\"nx-ast-est\">Estimate: Model output (forecast or reanalysis), shown with the member range where the API gives one; never a warning. The flow-duration percentile instrument adds one request to the same endpoint with start_date=1984-01-01 and end_date=today for the chosen cell (not separately probed).<\/span><\/li><li data-ast-layer=\"ndvi\"><strong>Vegetation index, MODIS Terra NDVI 8-day<\/strong> Vegetation greenness over the plain and hills; scrubbing the season steps the time dimension through the 8-day periods of the current and previous year. <span class=\"nx-ast-cr\">MODIS Terra NDVI 8-day, NASA LP DAAC \/ LANCE, via NASA GIBS, with the product date. Live: this page requests gibs.earthdata.nasa.gov when the layer is opened; the data date is printed with it.<\/span> <span class=\"nx-ast-est\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/span> <span class=\"nx-ast-est\">Estimate: An indicator of vegetation condition, never yield, production or a biodiversity measure.<\/span><\/li><li data-ast-layer=\"soil-moisture\"><strong>Soil moisture, SMAP L3 (daily)<\/strong> Surface soil moisture from the SMAP radiometer as a drought indicator for the plain. <span class=\"nx-ast-cr\">SMAP L3 passive enhanced soil moisture (day), NASA, via NASA GIBS, with the product date. Live: this page requests gibs.earthdata.nasa.gov when the layer is opened; the data date is printed with it.<\/span> <span class=\"nx-ast-est\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/span> <span class=\"nx-ast-est\">Estimate: A satellite retrieval of the top few centimetres, not root-zone or field measurement.<\/span><\/li><li data-ast-layer=\"rain\"><strong>Precipitation rate, GPM IMERG (30 minutes)<\/strong> Satellite precipitation estimate for the half hour shown. <span class=\"nx-ast-cr\">GPM IMERG precipitation (30 min), NASA GES DISC, via NASA GIBS, with the product time. Live: this page requests gibs.earthdata.nasa.gov when the layer is opened; the data date is printed with it.<\/span> <span class=\"nx-ast-est\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/span> <span class=\"nx-ast-est\">Estimate: Satellite estimate, near real time; not a gauge reading or a forecast.<\/span><\/li><li data-ast-layer=\"surface-water\"><strong>Surface water extent, OPERA DSWx (HLS)<\/strong> Open and partial surface water classes on the date shown, as the flood and low-water indicator of the reach. <span class=\"nx-ast-cr\">OPERA Dynamic Surface Water Extent from HLS, NASA JPL OPERA (Copernicus Sentinel-2 and Landsat input: contains modified Copernicus Sentinel data), via NASA GIBS, with the product date. Live: this page requests gibs.earthdata.nasa.gov when the layer is opened; the data date is printed with it.<\/span> <span class=\"nx-ast-est\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/span> <span class=\"nx-ast-est\">Estimate: A classification from optical imagery; clouds leave gaps; never a flood warning or a risk rating.<\/span><\/li><li data-ast-layer=\"hls\"><strong>True colour at 30 m, HLS Sentinel-2 (daily granules)<\/strong> The newest Harmonized Landsat and Sentinel-2 granules over the plain in true colour at 30 metres: fields, rice paddies, the river bed and the towns. <span class=\"nx-ast-cr\">NASA HLS S30 Nadir BRDF-Adjusted Reflectance, NASA LP DAAC (contains modified Copernicus Sentinel data 2026), via NASA GIBS, with the product date. Live: this page requests gibs.earthdata.nasa.gov when the layer is opened; the data date is printed with it.<\/span> <span class=\"nx-ast-est\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/span> <span class=\"nx-ast-est\">Estimate: Surface reflectance shown as published; clouds and gaps between granules stay visible; never a classification.<\/span><\/li><\/ul><p class=\"nx-ast-why\">Why this place: One box of about seventy by fifty kilometres holds a main-stem reach of the Po with the Sesia and Dora Baltea confluences, the Monferrato hills on its right bank and the irrigated rice plain of Vercelli on its left, fed by the Canale Cavour, so catchment hydrology, water allocation to food, floods (1994, 2000, 2016) and the 2022 drought can all be read at one scale. Data quality: Copernicus DEM GLO-30 covers the relief in one 1-degree tile, OpenStreetMap maps the rivers and named canals, the disciplines of GloFAS grid reaches the reach through Open-Meteo, MODIS and Sentinel-2 revisit the plain every few days and the box sits in Sentinel-2 tile 32TMQ. It connects to the Water security and hydrology, Food systems and agriculture and Climate science, variability and change of the atlas and to the water and food nexus field maps of the ecosystem sites, which draw on the same sources.<\/p><\/div><\/details><\/div><div class=\"nx-ast-read\" data-ast-out=\"read\" aria-live=\"polite\" hidden><\/div><p class=\"nx-ast-note\" aria-live=\"polite\">Flat plan of the same data: relief as contours from the inline grid, rivers and canals, and the numbers below. The 3D twin opens on devices with WebGL once its data and library have been checked.<\/p><\/div><\/div><\/div><button type=\"button\" class=\"nx-tw-swap\" data-ra-map-act=\"swap\" aria-label=\"Swap the main view and the inset\"><span class=\"nx-tw-swap-k\" data-tw-swap=\"true\">3D twin<\/span><span class=\"nx-tw-swap-v\">Swap<\/span><\/button><div class=\"nx-ra-tb-insp nx-tw-insp\" aria-live=\"polite\"><\/div><div class=\"nx-tw-ictl\" hidden><button type=\"button\" class=\"nx-tw-ib\" data-tw-insp=\"min\">Hide<\/button><button type=\"button\" class=\"nx-tw-ib\" data-tw-insp=\"close\" aria-label=\"Close the card\">Close<\/button><\/div><\/div><aside class=\"nx-tw-dock\" data-nx-tabs=\"dock\" aria-label=\"Simulator: instruments, layers and sources\"><div class=\"nx-tw-tabs\" role=\"tablist\" aria-label=\"Simulator panels\"><button type=\"button\" class=\"nx-tw-tab\" role=\"tab\" id=\"nx-tw-t-inst\" aria-controls=\"nx-tw-p-inst\" aria-selected=\"true\" tabindex=\"0\" data-key=\"inst\">Instruments<span>3<\/span><\/button><button type=\"button\" class=\"nx-tw-tab\" role=\"tab\" id=\"nx-tw-t-layers\" aria-controls=\"nx-tw-p-layers\" aria-selected=\"false\" tabindex=\"-1\" data-key=\"layers\">Layers<span>14<\/span><\/button><button type=\"button\" class=\"nx-tw-tab\" role=\"tab\" id=\"nx-tw-t-src\" aria-controls=\"nx-tw-p-src\" aria-selected=\"false\" tabindex=\"-1\" data-key=\"src\">Sources<\/button><\/div><div class=\"nx-tw-pane\" role=\"tabpanel\" id=\"nx-tw-p-inst\" aria-labelledby=\"nx-tw-t-inst\"><p class=\"nx-tw-empty\">The instruments run on the faculty home; their worked example is the Po at Casale Monferrato and the Vercelli rice plain:<\/p><ul class=\"nx-ai\"><li><a class=\"nx-ai-a\" href=\"https:\/\/risksacademy.com\/earth-environment\/#nx-sec-instruments\"><span class=\"nx-ai-t\">Basin cross-section<\/span><span class=\"nx-ai-w\">A line across the reach: elevation against distance from the inline terrain grid, with the river and canal crossings marked and the slope between samples.<\/span><\/a><\/li><li><a class=\"nx-ai-a\" href=\"https:\/\/risksacademy.com\/earth-environment\/#nx-sec-instruments\"><span class=\"nx-ai-t\">Index timeline (NDVI)<\/span><span class=\"nx-ai-w\">The MODIS 8-day vegetation index periods the learner scrubs through the season, listed by period date, beside the newest 30 m HLS true-colour granules of the plain for the fields the index summarises.<\/span><\/a><\/li><li><a class=\"nx-ai-a\" href=\"https:\/\/risksacademy.com\/earth-environment\/#nx-sec-instruments\"><span class=\"nx-ai-t\">Drought and flood indicators<\/span><span class=\"nx-ai-w\">The flow-duration curve of the GloFAS cell at the plan's point from its 1984 to today daily series, today's percentile on it and the 30-day forecast band.<\/span><\/a><\/li><\/ul><\/div><div class=\"nx-tw-pane\" role=\"tabpanel\" id=\"nx-tw-p-layers\" aria-labelledby=\"nx-tw-t-layers\" hidden><div class=\"nx-tw-layers\" data-tw-layers=\"true\"><p class=\"nx-tw-empty\">Open the map to switch its 14 layers.<\/p><\/div><\/div><div class=\"nx-tw-pane\" role=\"tabpanel\" id=\"nx-tw-p-src\" aria-labelledby=\"nx-tw-t-src\" hidden><p class=\"nx-tw-empty\">13 live and observed layers and 1 from the twin. Data: Natural Earth, MODIS Terra NDVI, NASA SMAP, NASA GPM IMERG Early, NASA JPL OPERA DSWx-HLS, NASA JPL OPERA DSWx-S1, NASA HLS S30, Open-Meteo.com. Each layer states its provider, licence and date when it is switched on.<\/p><div class=\"nx-tw-cred\" data-tw-cred=\"true\"><\/div><\/div><\/aside><\/div><p class=\"nx-ra-map-note\" role=\"status\">The boundaries, names and designations shown do not imply any judgement on the legal status of any territory, or any endorsement or acceptance of such boundaries. Countries: Natural Earth (public domain).<\/p><\/div><\/div><\/div><\/section><section id=\"nx-sec-standards\" class=\"nx-section nx-as\" data-as=\"wide\" data-ra-wide=\"true\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-standards-h\"><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\">Nexus Standards<\/span><\/div><h2 id=\"nx-sec-standards-h\" class=\"nx-section-title\">Nexus Standards it teaches and relies on<\/h2><p class=\"nx-lede\">The Nexus Standards the discipline teaches toward, grouped by master standard, with the disciplines that teach each.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><ul class=\"nx-fc nx-fs\"><li><a class=\"nx-fc-a\" href=\"https:\/\/nexustandards.com\/hazards\/\"><span class=\"nx-fc-p\">nexustandards.com\/hazards\/<\/span><span class=\"nx-fc-t\">Hazards and Disaster Risk Reduction<\/span><span class=\"nx-fc-s\">NRS-H5 Thermal extremes; NRS-H7 Large-scale circulation anomalies<\/span><span class=\"nx-fc-n\"><span><b>5<\/b>standards taught<\/span><span><b>1<\/b>discipline<\/span><\/span><\/a><\/li><li><a class=\"nx-fc-a\" href=\"https:\/\/nexustandards.com\/systemic-risk\/\"><span class=\"nx-fc-p\">nexustandards.com\/systemic-risk\/<\/span><span class=\"nx-fc-t\">Systemic Risks<\/span><span class=\"nx-fc-s\">NRS-H65 Planetary boundary transgressions; NRS-H66 Ice tipping elements<\/span><span class=\"nx-fc-n\"><span><b>4<\/b>standards taught<\/span><span><b>1<\/b>discipline<\/span><\/span><\/a><\/li><li><a class=\"nx-fc-a\" href=\"https:\/\/nexustandards.com\/climate\/\"><span class=\"nx-fc-p\">nexustandards.com\/climate\/<\/span><span class=\"nx-fc-t\">Climate and Earth Systems<\/span><span class=\"nx-fc-s\">NRS-H28 Climate-state shifts; NRS-M17 Climate, nature and biodiversity<\/span><span class=\"nx-fc-n\"><span><b>3<\/b>standards taught<\/span><span><b>1<\/b>discipline<\/span><\/span><\/a><\/li><\/ul><p class=\"nx-fs-foot\"><a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/nexus-standards\/\">Nexus Standards at the Academy<\/a><span>The Academy proposes how each discipline teaches toward the Nexus Standards; the mapping is open for review by the editors of the Nexus Standards.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-research\" class=\"nx-section nx-as\" data-as=\"wide\" data-ra-wide=\"true\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-research-h\"><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\">Research hub<\/span><\/div><h2 id=\"nx-sec-research-h\" class=\"nx-section-title\">Research hub: papers, preprints and datasets<\/h2><p class=\"nx-lede\">Open scholarly sources searched with the subject terms of Climate science, variability and change.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><div class=\"nx-ra-rh\"><div class=\"nx-rh\" data-rh-data=\"nx-rh-earth-environment-climate-science\" data-ns-data=\"nx-rh-earth-environment-climate-science\" data-rh-state=\"static\" data-ns-credits=\"Research metadata: OpenAlex (metadata CC0); Crossref (metadata facts); DataCite (metadata CC0); Zenodo, CERN (metadata CC0); arXiv (metadata CC0); thank you to arXiv for use of its open access interoperability; Europe PMC (EMBL-EBI); OpenAIRE Graph (CC BY 4.0)\" aria-label=\"Research hub: Climate science, variability and change\"><p class=\"nx-rh-terms\"><span class=\"nx-rh-label\">Search terms<\/span>Climate science, variability and change; Climate baselines and observations; Variability modes such as ENSO; Climate models and projections; Scenario families; Downscaling and bias correction<span class=\"nx-rh-from\">Derived from the Risk Academy page on Climate science, variability and change.<\/span><\/p><ul class=\"nx-rh-sources\" aria-label=\"Sources\"><li class=\"nx-rh-src\" data-rh-state=\"pending\"><span class=\"nx-rh-src-name\">OpenAlex<\/span><span class=\"nx-rh-src-state\">listed for reference; not queried<\/span><\/li><li class=\"nx-rh-src\" data-rh-state=\"pending\"><span class=\"nx-rh-src-name\">Crossref<\/span><span class=\"nx-rh-src-state\">listed for reference; not queried<\/span><\/li><li class=\"nx-rh-src\" data-rh-state=\"pending\"><span class=\"nx-rh-src-name\">DataCite<\/span><span class=\"nx-rh-src-state\">listed for reference; not queried<\/span><\/li><li class=\"nx-rh-src\" data-rh-state=\"pending\"><span class=\"nx-rh-src-name\">Zenodo<\/span><span class=\"nx-rh-src-state\">listed for reference; not queried<\/span><\/li><li class=\"nx-rh-src\" data-rh-state=\"pending\"><span class=\"nx-rh-src-name\">arXiv<\/span><span class=\"nx-rh-src-state\">listed for reference; not queried<\/span><\/li><li class=\"nx-rh-src\" data-rh-state=\"pending\"><span class=\"nx-rh-src-name\">Europe PMC<\/span><span class=\"nx-rh-src-state\">listed for reference; not queried<\/span><\/li><li class=\"nx-rh-src\" data-rh-state=\"pending\"><span class=\"nx-rh-src-name\">OpenAIRE Graph<\/span><span class=\"nx-rh-src-state\">listed for reference; not queried<\/span><\/li><\/ul><p class=\"nx-rh-note\">No source is enabled for live display on this site yet: the sources are listed for reference and none is queried. Once the publisher of record enables a source after its terms are reviewed, recent works are listed here. Metadata and links only: title, authors, venue, year, type, open-access status and licence as each source records them; works are listed for orientation, not reviewed or endorsed.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-hub\" class=\"nx-section nx-as\" data-as=\"hub\" data-ra-wide=\"true\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-hub-h\"><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\">Hub<\/span><\/div><h2 id=\"nx-sec-hub-h\" class=\"nx-section-title\">Research and tools<\/h2><p class=\"nx-lede\">Research and preprints as they are published, by discipline, with the faculty's other tools.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\"><div class=\"nx-ra-feeds\" data-ra-feeds=\"earth-environment\" data-ra-feeds-od=\"lx1sECIMzbZsJ2j7gSEgEYiW1gGLFTpaIHyPJ7t5s10=\" data-ra-feeds-scope=\"climate-science\"><p class=\"nx-tw-empty\">The hub lists the newest research and preprints for Climate science, variability and change, each with its source and date. <a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/earth-environment\/research-hub\/\">Open the research hub<\/a><\/p><\/div><\/figure><\/div><\/div><\/section><section id=\"nx-sec-profile\" class=\"nx-section nx-as\" data-as=\"plain\" data-ra-wide=\"true\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-profile-h\"><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 and standards<\/span><\/div><h2 id=\"nx-sec-profile-h\" class=\"nx-section-title\">Hazard families it covers<\/h2><p class=\"nx-lede\">From the Academy's risk taxonomy: the discipline's own entries and those of its primary courses, with how many courses teach each.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\"><div class=\"nx-ra-prof\"><div class=\"nx-ra-prof-c\" data-lead=\"true\"><h3 class=\"nx-h4\">Hazard families<\/h3><ol><li><span>Climate variability modes<\/span><span class=\"nx-ra-prof-n\">2 courses<\/span><\/li><li><span>Drought<\/span><span class=\"nx-ra-prof-n\">1 course<\/span><\/li><li><span>Extreme heat<\/span><span class=\"nx-ra-prof-n\">1 course<\/span><\/li><li><span>Sea level rise and coastal change<\/span><span class=\"nx-ra-prof-n\">1 course<\/span><\/li><li><span>Tropical cyclone<\/span><span class=\"nx-ra-prof-n\">1 course<\/span><\/li><li><span>Glacier and permafrost change<\/span><span class=\"nx-ra-prof-n\">scope<\/span><\/li><\/ol><\/div><div class=\"nx-ra-prof-c\"><h3 class=\"nx-h4\">Frameworks and standards<\/h3><ol><li><span>Paris Agreement<\/span><span class=\"nx-ra-prof-n\">1 course<\/span><\/li><li><span>TCFD recommendations and ISSB standards<\/span><span class=\"nx-ra-prof-n\">1 course<\/span><\/li><\/ol><\/div><\/div><\/figure><\/div><\/div><\/section><section id=\"nx-sec-frontier\" class=\"nx-section nx-as\" data-as=\"timeline\" data-ra-wide=\"true\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-frontier-h\"><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\">What is changing now<\/span><\/div><h2 id=\"nx-sec-frontier-h\" class=\"nx-section-title\">What is changing now<\/h2><p class=\"nx-lede\">Recent developments in climate science, variability and change, each with its source; sources checked on 16 October 2026.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"vZbhbts2EMdf5SBgWAdYVhTHaVK4Aoq0G9oha9Cs6OczeZaIUKRwR9l1n2rPsCcbSMmO17SruwD9Zkk073j8\/+5\/C29BWRR5nrmPOWO+4qxaWFMttFl\/\/iXXWbUIpiXQGCj+eJ6dnpye5yfneVlmVVnCm94RxHeLIn6vFtKhe7DPXVa9xIBCYVHEBdWi0Gb95ZjLrFo0s4PXzVlWvXbaKAyeBfwKfrN+iRaurGkxEFw16OqUxRy6Pgg0fYsuN073ijRskFvjasAA5XT2FP7+62pRNLNq0T2ILVn1Z0OAzvVooSPinGltaEMa+i4WIYZ\/fXN1lUvYWgJznxdJSOnor4RnQtWQ3ucAxqWUJ8BGUn5L3wc4mZ4Onzti0KRQ0wTQaUCtSQNCi2wcQUMYNrg+SAGk8Zu40f6Txq1A65kgNOggsOksaRDjFEF5eVlOF0X3pTpssmohgb2rqw\/NFkyAFkMglumiGN\/D6wC1WZMAurFgdjsWSU8gMCrCpaV9XWBJYUPkUvlAbZUlmUAvtOotrDyDQmuWjCEeQRQ5ZONhiULWuBRGQ2gIOlTpFnZ1NS4W8A5ar8nK104krLLq1ves6Bm8Qg4N3G4lUAu3ylCsRxQoPLnyHbEzqhe46Zc2VtZ4J79MYIEHm1rj7jJomFbPsyaETp4VBYnoqdr\/f+q5LpCDiQctyotidnFxWURU0sq8vMjjmzy+mTahtcerfFFgNYFD+oZjD1AVkebvJnqen15k1ekFXOP2KKDfUef5\/\/L84frtIG60o2aewWX5E6gG3XC9CFtCjlCsCcrp\/AhsH246gY79gOFym9Tz\/ne4pgBvVyujaAJ1xAQdXJzvY4cGA3hHQ\/wB0vP89GR2AkvCIPH5DFCSAEnCBPCI1EeG4en8IBDByqwpT6tbQgf0URFpARMeQ+YfhJwH4jaefolLY40Eo8D3wXp\/J9CQ7UAoQGfRudQyPJtP3kkCMfaPCWwwEA9Z12xUb0PPlFCbQGh8XzfAVBvv0ILcGWthjWxGUKXxvdWwJFANqTvSYL2KHeIoPj94tjreE3n21tdGoYW3XKMznxKPR9C4af3UuFAwSdpViu6e51wophoX5XXCLB9aWD7qJ1cDdfmgo+KYRflOKPOsGtl9MRhJ8PBy1OWO5veDm+z\/MiB9gN\/jiZ7lp7OsOp3BNbJqfgzTt2H0yCjuzxpY8mfUWoAccb0F0y7RJhT2HvYfhMftOeVHetwrjJ5ZTs9myTNH5C7mJ3l5eXIyASHlnQbPEBrDescseAdMyrOewMaEWJxynqdNY+JluV8Y2ZTp4Bg\/fyHzDQoYp2yfzFkA4Y62B568SqEj6CwB0j1FPnbDAI5pPAb32Poe5BVnAUkkgxGQEPlEpfq2t8lhJyAeumYria1koDvPlR29zgdAkT7mDB32QoCr2BSU95Z4qE3skOF+ZgrUdsSYesUA2Q8n\/gucS5Rl7lc72Edwv\/Y+KSGrviXmkdlDwB5PbZmXZ1lVnsEbdD3y9gcM1\/czz7MYbTaAMCq2YRodqiM2Xn+XIx9MU5+NMbfEa6MIVr53I84RpVjpRGp+CGDU2Kt3L+bDCH\/29ID1jilN2hLYoJ2MUyKGtNP9YXBNjDWNBpum8NGWD+B8cNTgQXsQ\/xg6bxhVMFGMxHuydDRkV\/dGmjiN13aMG7NvexvM8DhkG3kWWLFvwXpXD86+m343DTkwLhB3TGl0vkE2kg4jjbda9gOyNqKsl553Hr3j\/ShCv32VT15dXX\/49ZhJecTscFimvrh\/SneWb1DyQQuND4EkpKLkQ8N8oNrP9APjfwb97Nv9ODn\/m64H0BbeVv8A\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-courses\" class=\"nx-section nx-as\" data-as=\"courses\" data-ra-wide=\"true\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-courses-h\"><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\">Courses<\/span><\/div><h2 id=\"nx-sec-courses-h\" class=\"nx-section-title\">Courses in this discipline<\/h2><p class=\"nx-lede\">Courses for this discipline are in development; until they open, study it through the connected courses and open lessons below.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\"><div class=\"nx-cc\"><p class=\"nx-cc-h\"><span class=\"nx-tw-path\"><strong>Courses with this primary discipline<\/strong><\/span><span>In development<\/span><\/p><ol class=\"nx-ra-reg\"><li><div><span class=\"nx-ra-code\">RAF-110<\/span><span class=\"nx-ra-reg-b\"><span class=\"nx-ra-reg-t\">Climate Risk Foundations: Physical and Transition Risk<\/span><\/span><span class=\"nx-ra-state\" data-state=\"prep\">In development<\/span><span class=\"nx-ra-reg-m\">Foundation, L1 Introductory, 8 hours (estimate)<\/span><\/div><\/li><li><div><span class=\"nx-ra-code\">RAN-336<\/span><span class=\"nx-ra-reg-b\"><span class=\"nx-ra-reg-t\">Southern Africa: Drought, Cyclones and El Ni\u00f1o<\/span><\/span><span class=\"nx-ra-state\" data-state=\"prep\">In development<\/span><span class=\"nx-ra-reg-m\">Nexus, L2 Intermediate, 8 hours (estimate)<\/span><\/div><\/li><\/ol><\/div><\/figure><\/div><\/div><\/section><section id=\"nx-sec-also\" class=\"nx-section nx-as\" data-as=\"plain\" data-ra-wide=\"true\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-also-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">16<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Also taught here<\/span><\/div><h2 id=\"nx-sec-also-h\" class=\"nx-section-title\">Courses from connected disciplines that also teach this field<\/h2><p class=\"nx-lede\">Each course has its primary discipline elsewhere and teaches this field as part of its scope.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-labs\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-labs-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">17<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Labs<\/span><\/div><h2 id=\"nx-sec-labs-h\" class=\"nx-section-title\">How the subject is practised in labs<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-technology\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-technology-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">18<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Technology in this area<\/span><\/div><h2 id=\"nx-sec-technology-h\" class=\"nx-section-title\">How technology helps and what risk it brings<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-ladder\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-ladder-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">19<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Achievements<\/span><\/div><h2 id=\"nx-sec-ladder-h\" class=\"nx-section-title\">Achievements in this discipline<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-pathways\" class=\"nx-section nx-as\" data-as=\"route\" data-ra-wide=\"true\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-pathways-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">20<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Pathways<\/span><\/div><h2 id=\"nx-sec-pathways-h\" class=\"nx-section-title\">Pathways that teach it<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\"><div class=\"nx-ar\" data-start=\"none\"><ol class=\"nx-ar-ways\"><li><a class=\"nx-ar-a\" href=\"https:\/\/risksacademy.com\/pathways\/nrm-flagship\/\"><span class=\"nx-ar-k\">Academy flagship<\/span><span class=\"nx-ar-t\">Nexus-Based Risk Management flagship pathway<\/span><span class=\"nx-ar-m\">2 of its 20 courses are in this discipline.<\/span><\/a><\/li><li><a class=\"nx-ar-a\" href=\"https:\/\/risksacademy.com\/pathways\/climate-risk-officer\/\"><span class=\"nx-ar-k\">Role pathway<\/span><span class=\"nx-ar-t\">Climate risk officer<\/span><span class=\"nx-ar-m\">2 of its 10 courses are in this discipline.<\/span><\/a><\/li><li><a class=\"nx-ar-a\" href=\"https:\/\/risksacademy.com\/pathways\/policy-maker\/\"><span class=\"nx-ar-k\">Role pathway<\/span><span class=\"nx-ar-t\">Policy maker<\/span><span class=\"nx-ar-m\">One of its 11 courses is in this discipline.<\/span><\/a><\/li><\/ol><\/div><\/figure><\/div><\/div><\/section><section id=\"nx-sec-practice\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-practice-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">21<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Where this is practised<\/span><\/div><h2 id=\"nx-sec-practice-h\" class=\"nx-section-title\">Where the subject is practised<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\"><ul class=\"nx-ra-cite\"><li><span class=\"nx-ra-cite-o\">The Global Centre for Risk and Innovation (GCRI Canada)<\/span><span><a class=\"nx-link\" href=\"https:\/\/therisk.global\/climate-hazards\/\">Climate and Hazards<\/a><span class=\"nx-ra-cite-n\">Climate baselines, Climate projections, Climate services and warnings<\/span><\/span><\/li><li><span class=\"nx-ra-cite-o\"><\/span><span><a class=\"nx-link\" href=\"https:\/\/therisk.global\/fields\/climate\/\">Climate and hazards<\/a><\/span><\/li><\/ul><p class=\"nx-ra-cite-f\">Field platforms of the ecosystem where the subject is studied and applied.<\/p><\/figure><\/div><\/div><\/section><section id=\"nx-sec-foundry\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-foundry-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">22<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Practised in<\/span><\/div><h2 id=\"nx-sec-foundry-h\" class=\"nx-section-title\">The three Nexus Foundry systems where it is practised<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"zZPNbtwwDIRfhfB9o3vr+JK2t\/4A+wS0NGurkUWBpJvs2wfeHyBok7Y5FOhJojgcDD5Q\/VooFja77erjTnkXs6Mb+pKH3hrXX5s76YYveFyNPslakx77sAnP8qHnZxMl1\/uOZsXhtpvdm70LwWdotvubqcjIJdTNaXc4OwU7mmOxIC10w9dvdK77wK+Gqd1wV\/LCDlJE0WSkMCepFLnkUdmRqGleWI+0gG1VLKhuz2O\/bPwZrlJkOpKKLFf99dgI\/Z7SPwCTzEI3fNjv34amqXxH9CzVCNWhlBCznWo2sojKmoUMf8Nlf5Hb\/8MFp435+NaV+cGaeSwwilxpBBlQ6aCykOiY\/c8s7mauE14FEdYy9O2F0cNPn+iSmxpPMEqwqHkEPczsBI7ztc81UfYzeSNWbNo8VSRyoSTvyWdQlFUNRn4a3V4W+CzJtrvhYmbErZXjTR\/a8AQ=\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-connected\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-connected-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">23<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connected disciplines<\/span><\/div><h2 id=\"nx-sec-connected-h\" class=\"nx-section-title\">Disciplines it depends on<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-ecosystem\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-ecosystem-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">24<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Across the ecosystem<\/span><\/div><h2 id=\"nx-sec-ecosystem-h\" class=\"nx-section-title\">Across the ecosystem<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-across\" class=\"nx-section nx-as\" data-as=\"wide\" data-ra-wide=\"true\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-across-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">25<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Consortium<\/span><\/div><h2 id=\"nx-sec-across-h\" class=\"nx-section-title\">Across the Consortium<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><ul class=\"nx-ra-xl\"><li><a href=\"https:\/\/therisk.global\/climate-hazards\/\"><span class=\"nx-ra-xl-o\">GCRI Canada<\/span><span class=\"nx-ra-xl-t\">Climate and Hazards<\/span><span class=\"nx-ra-xl-n\">Methods, data and models<\/span><\/a><\/li><li><a href=\"https:\/\/globalriskforum.com\/climate-nature-governance\/\"><span class=\"nx-ra-xl-o\">GRF<\/span><span class=\"nx-ra-xl-t\">Climate and Nature Governance<\/span><span class=\"nx-ra-xl-n\">Mandates, commitments and accountability<\/span><\/a><\/li><li><a href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/\"><span class=\"nx-ra-xl-o\">GRA<\/span><span class=\"nx-ra-xl-t\">Climate and Nature Financial Risk<\/span><span class=\"nx-ra-xl-n\">Exposure, loss and capital<\/span><\/a><\/li><li><a href=\"https:\/\/nexustandards.com\/climate\/\"><span class=\"nx-ra-xl-o\">Nexus Standards<\/span><span class=\"nx-ra-xl-t\">Climate and Earth Systems<\/span><span class=\"nx-ra-xl-n\">Standards that apply<\/span><\/a><\/li><li><a href=\"https:\/\/therisk.global\/nexus-reports\/areas\/climate-hazards\/\"><span class=\"nx-ra-xl-o\">Nexus Reports<\/span><span class=\"nx-ra-xl-t\">Climate and Hazards in Nexus Reports<\/span><span class=\"nx-ra-xl-n\">Where it is reported<\/span><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-references\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"biodiversity\" aria-labelledby=\"nx-sec-references-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">26<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">References<\/span><\/div><h2 id=\"nx-sec-references-h\" class=\"nx-section-title\">Core references and where to begin<\/h2><p class=\"nx-lede\">Start with IPCC, then Hawkins, then Hausfather.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"biodiversity\" 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\">NR<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Nexus Reports gateway \u00b7 GW-ACADEMY<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute to Nexus Reports from this page.<\/h2><p class=\"nx-lede\">Nexus Reports is the Consortium's quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.<\/p><div class=\"nx-chips\"><span class=\"nx-chip\">Risk Academy<\/span><\/div><\/div><div class=\"nx-section-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-1\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-1\" class=\"nx-h3 nx-mt-2\">Around Climate science, variability and change<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/risksacademy.com\/earth-environment\/oceans-coasts\/\">Oceans and coasts <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/earth-environment\/cryosphere-mountain-systems\/\">Cryosphere and mountain systems <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/earth-environment\/earth-observation-system-data\/\">Earth observation and Earth system data <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/earth-environment\/atmosphere-air-chemistry\/\">Atmosphere and air chemistry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/earth-environment\/departments\/climate-ocean\/\">Department of Climate and Ocean Sciences <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/earth-environment\/\">Faculty of Earth and Environmental Sciences <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-2\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Climate science, variability and change<\/span><h2 id=\"nx-close-2\" class=\"nx-section-title\">Prepare with a related course<\/h2><p class=\"nx-lede\">Open courses in connected disciplines teach the methods this discipline will build on.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/risksacademy.com\/courses\/\">Browse the course catalogue <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:\/\/risksacademy.com\/earth-environment\/departments\/climate-ocean\/\">Back to Department of Climate and Ocean Sciences<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? 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