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\"><style>#nxe-ny298w10.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-ny298w10.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"split\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G-P19 \u00b7 EVIDENCE \u00b7 sources<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Systems Science and Modelling<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Source and data register<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Source and data register<\/h1><p class=\"nx-tagline\">Where Systems Science and Modelling gets its data, on what terms, with what quality and with which known gaps.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/systems-modelling\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/systems-modelling\/research\/\">Back to Research and evidence<\/a><\/div><dl class=\"nx-facts\"><div><dt class=\"nx-eyebrow\">Publisher<\/dt><dd>The Global Centre for Risk and Innovation<\/dd><\/div><div><dt class=\"nx-eyebrow\">Field<\/dt><dd>Methods and modelling, Risk management and systemic risk, Research and evidence<\/dd><\/div><div><dt class=\"nx-eyebrow\">Status<\/dt><dd>In development<\/dd><\/div><div><dt class=\"nx-eyebrow\">Service level<\/dt><dd>R0: information and enquiries<\/dd><\/div><\/dl><\/div><div data-lv-fill=\"console\" data-lv-id=\"workbench\"><div class=\"nx-window\"><div class=\"nx-window-bar\" aria-hidden=\"true\"><span class=\"nx-window-dots\"><span><\/span><span><\/span><span><\/span><\/span><span><strong>GCRI<\/strong> \u00b7 Systems Science and Modelling \u00b7 Evidence grading<\/span><span class=\"nx-window-note\">Illustrative<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-systems-evidence-grading\" data-cx=\"systems.evidence-grading\" data-variant=\"hero\" aria-label=\"Evidence grading: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h2 class=\"nx-fk-title\">Evidence grading<\/h2><p class=\"nx-fk-sub\">Source and data register \u00b7 Review wave 2<\/p><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Two sources downgraded<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Systems Science and Modelling<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"matrix\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Certainty by criterion<\/h4><p class=\"nx-fk-panel-sub\">0 low to 100 high<\/p><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 520 138\" width=\"520\" height=\"138\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Certainty by criterion\" data-fk-chart=\"cx-systems-evidence-grading-heat\" data-nx-z=\"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\"><\/svg><\/div><p class=\"nx-fk-note\">Higher is more certain. Values are placeholders.<\/p><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"queue\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Review queue<\/h4><\/div><\/div><ol class=\"nx-cx-q\"><li><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>R-1<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Models in library<\/span><span class=\"nx-cx-qm\">second reviewer<\/span><\/span><span class=\"nx-cx-age\"><span class=\"nx-cx-n\">1<\/span> d<\/span><\/li><li><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>R-2<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Models with validation record<\/span><span class=\"nx-cx-qm\">second reviewer<\/span><\/span><span class=\"nx-cx-age\"><span class=\"nx-cx-n\">2<\/span> d<\/span><\/li><li><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>R-3<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Coupled runs completed<\/span><span class=\"nx-cx-qm\">second reviewer<\/span><\/span><span class=\"nx-cx-age\"><span class=\"nx-cx-n\">6<\/span> d<\/span><\/li><\/ol><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><\/figure><\/div><\/div><p class=\"nx-caption\"><strong>Systems Science and Modelling \u00b7 Evidence grading<\/strong><span>Evidence grading, in outline: domain structure with placeholder names and illustrative values, not a record.<\/span><\/p><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-s-3-sec\"><span>02<\/span>Draft to published version<\/a><a href=\"#nx-sec-field\"><span>03<\/span>Connected activity in North America<\/a><a href=\"#nx-sec-what-is-recorded\"><span>04<\/span>Each source carries five facts<\/a><a href=\"#nx-sec-pg-register\"><span>05<\/span>Every source the topic dossiers\u2026<\/a><a href=\"#nx-sec-pg-gaps\"><span>06<\/span>Where the systems modelling data\u2026<\/a><a href=\"#nx-sec-status\"><span>07<\/span>How the register grows<\/a><a href=\"#nx-sec-terms\"><span>08<\/span>Terms used on this page<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"project\" data-variant=\"inset\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">The Systems Science and Modelling source register lists the datasets and records the platform draws on, such as CMIP6 archive via the Earth System Grid Federation, each with its producer, licence and permitted uses, quality and known gaps. A source is listed only once its terms permit the use described, and data held by agreement is used under those terms and never republished.<\/p><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"search\" data-nxf-kind=\"search\" data-nxf-resource=\"nexus:\/\/gcri\/G-P19\/research\/sources\/#search\" data-nxf-title=\"Search publications\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Draft to published version.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Canvas<\/strong> \u00b7 draft to published version<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g-p19-research-sources-prisma-t nx-dag-g-p19-research-sources-prisma-d\" data-nx-z=\"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\"><title id=\"nx-dag-g-p19-research-sources-prisma-t\">Source and data register: systematic evidence synthesis<\/title><desc id=\"nx-dag-g-p19-research-sources-prisma-d\">A question is framed with its owner and a protocol registered; records are searched, screened and checked for eligibility by two reviewers; data are extracted, synthesised and graded for certainty before a brief is written. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig.<\/strong><span>How a finding is reviewed before it is published. Design, not a record.<\/span><\/p><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Connected activity in North America.<\/h2><p class=\"nx-lede\">For source and data register, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery, land cover and night lights with relief in 3D and true colour from NASA GIBS, framed on North America; every other NASA layer, live feed and forecast waits in the layer list.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"north-america:digital\" data-ml-src=\"digital\" data-ml-plan=\"p-17db85f6\" data-ml-relief=\"1.3\"><div class=\"nx-wm\" data-nx-water=\"ctx-digital\" data-wm-domain=\"ctx-digital\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"-170,7,-52,72\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"Connected activity, North America: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"true||||\" aria-pressed=\"false\">True colour<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"cover||||\" aria-pressed=\"false\">Land cover<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">3<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Connected activity, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"1\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.7\" data-wm-short=\"Land cover\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite classification; latest year GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land cover type (IGBP), yearly<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Terra and Aqua land cover (MCD12Q1) \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"cover\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"flood\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-short=\"Flood water\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite detection; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Flood water, 3-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS Global Flood Product \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"flood\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"imerg\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-short=\"Precipitation\" data-wm-prov=\"NASA GES DISC\" data-wm-kind=\"Satellite estimate, near real time\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Precipitation rate, daily mean<\/span><span class=\"nx-wm-layer-src\">NASA GES DISC GPM IMERG \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"imerg\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"tools\" aria-controls=\"nx-wm-menu\" aria-expanded=\"false\" aria-label=\"Expert tools\" title=\"Expert tools\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 4.5l10 0m-10 3.5 10 0m-10 3.5 10 0m-7.5-8.5 0 3m5 .5 0 3m-3.5.5 0 3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><span class=\"nx-wm-sep\" aria-hidden=\"true\"><\/span><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"in\" aria-label=\"Zoom in\" title=\"Zoom in\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 3v10M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"out\" aria-label=\"Zoom out\" title=\"Zoom out\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"reset\" aria-label=\"Reset the view\" title=\"Reset the view\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.2 8a4.8 4.8 0 1 0 1.5-3.5M3.2 2.6v2.6h2.6\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"xt\" data-wm-xt=\"6oPh6EhWj+gDMzpLLT8H\/wVfxJakWdyAB8snze2Nado=\">More expert tools<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>For source and data register, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery, land cover and night lights with relief in 3D and true colour from NASA GIBS, framed on North America; every other NASA layer, live feed and forecast waits in the layer list.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 Copernicus Sentinel-2 L2A \u00b7 NASA HLS S30<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.modis-viirs.land\">MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.gpm.imerg\">GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\" target=\"_blank\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer<\/li><li>Observed (EO): NASA HLS S30 (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/li><li>Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><li>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/li><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/li><li>Precipitation rate, daily mean: GPM IMERG, NASA GES DISC \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G-P19\/research\/sources\/#map\" data-nxf-title=\"Systems Science and Modelling live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-what-is-recorded\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">What is recorded<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Each source carries five facts.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"3\"><div><span class=\"nx-eyebrow\">01<\/span><h3 class=\"nx-h4 nx-mt-2\">Origin<\/h3><p class=\"nx-p nx-mt-1\">Who produces the data and how.<\/p><\/div><div><span class=\"nx-eyebrow\">02<\/span><h3 class=\"nx-h4 nx-mt-2\">Access terms<\/h3><p class=\"nx-p nx-mt-1\">Licence, restrictions and permitted uses.<\/p><\/div><div><span class=\"nx-eyebrow\">03<\/span><h3 class=\"nx-h4 nx-mt-2\">Quality<\/h3><p class=\"nx-p nx-mt-1\">Coverage, resolution, update frequency and known errors.<\/p><\/div><div><span class=\"nx-eyebrow\">04<\/span><h3 class=\"nx-h4 nx-mt-2\">Provenance<\/h3><p class=\"nx-p nx-mt-1\">How the data reached the platform and what was changed.<\/p><\/div><div><span class=\"nx-eyebrow\">05<\/span><h3 class=\"nx-h4 nx-mt-2\">Gaps<\/h3><p class=\"nx-p nx-mt-1\">What is missing and how the gap is handled.<\/p><\/div><\/div><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P19\/research\/sources\/#evidence\" data-nxf-title=\"Evidence records\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-sec-pg-register\" class=\"nx-section\" data-hue=\"project\" data-variant=\"split\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Register<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Every source the topic dossiers cite, with its terms.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th>Source<\/th><th>What it gives<\/th><th>Terms<\/th><th>Used in<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">AgMIP crop model intercomparisons<\/td><td data-label=\"What it gives\">Crop model ensemble protocols and results<\/td><td data-label=\"Terms\">Public, terms per project<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/model-intercomparison\/\">Model intercomparison<\/a><\/td><\/tr><tr><td data-label=\"Source\">ASME V&amp;V 10, V&amp;V 20 and V&amp;V 40<\/td><td data-label=\"What it gives\">Verification, validation and credibility standards<\/td><td data-label=\"Terms\">Licensed standards, purchase required<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/uncertainty-and-validation\/\">Uncertainty and validation<\/a><\/td><\/tr><tr><td data-label=\"Source\">CMIP6 archive via the Earth System Grid Federation<\/td><td data-label=\"What it gives\">Climate model outputs from common experiments<\/td><td data-label=\"Terms\">Open, CC BY 4.0 for most models (to check per model)<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/model-intercomparison\/\">Model intercomparison<\/a><\/td><\/tr><tr><td data-label=\"Source\">CoMSES Net and model archives<\/td><td data-label=\"What it gives\">Archived models with documentation<\/td><td data-label=\"Terms\">Open, licence per model<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/reproducible-modelling\/\">Reproducible modelling<\/a><\/td><\/tr><tr><td data-label=\"Source\">CoMSES Net Computational Model Library<\/td><td data-label=\"What it gives\">Archive of agent-based models with code and ODD documentation<\/td><td data-label=\"Terms\">Open, licence per model<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/agent-based-and-complexity\/\">Agent based and complexity<\/a><\/td><\/tr><tr><td data-label=\"Source\">Coupling frameworks such as OASIS, BMI and preCICE documentation<\/td><td data-label=\"What it gives\">Technical standards for linking models<\/td><td data-label=\"Terms\">Open source, licence per project<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/coupled-systems-modelling\/\">Coupled systems modelling<\/a><\/td><\/tr><tr><td data-label=\"Source\">Data assimilation literature<\/td><td data-label=\"What it gives\">Methods for combining models and observations<\/td><td data-label=\"Terms\">Licence per publication<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/digital-twins-method\/\">Digital twins method<\/a><\/td><\/tr><tr><td data-label=\"Source\">Digital Twin Consortium definitions and resources<\/td><td data-label=\"What it gives\">Industry definitions and capability frameworks<\/td><td data-label=\"Terms\">Public, terms to check<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/digital-twins-method\/\">Digital twins method<\/a><\/td><\/tr><tr><td data-label=\"Source\">EMA Workbench<\/td><td data-label=\"What it gives\">Exploratory modelling and analysis toolkit<\/td><td data-label=\"Terms\">Open source, BSD licence<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/optimization-under-uncertainty\/\">Optimization under uncertainty<\/a><\/td><\/tr><tr><td data-label=\"Source\">FAIR principles for research software (FAIR4RS)<\/td><td data-label=\"What it gives\">Principles for reusable research software<\/td><td data-label=\"Terms\">Open, CC BY 4.0<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/reproducible-modelling\/\">Reproducible modelling<\/a><\/td><\/tr><tr><td data-label=\"Source\">Input-output and trade networks (OECD ICIO, BACI)<\/td><td data-label=\"What it gives\">Economic dependency networks<\/td><td data-label=\"Terms\">Public, OECD terms; open, Etalab licence<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/networks-and-cascades\/\">Networks and cascades<\/a><\/td><\/tr><tr><td data-label=\"Source\">Integrated assessment model documentation (IAMC wiki)<\/td><td data-label=\"What it gives\">Structure and assumptions of integrated assessment models<\/td><td data-label=\"Terms\">Public, terms to check<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/coupled-systems-modelling\/\">Coupled systems modelling<\/a><\/td><\/tr><tr><td data-label=\"Source\">IPCC uncertainty guidance note<\/td><td data-label=\"What it gives\">Calibrated uncertainty language<\/td><td data-label=\"Terms\">Public, IPCC terms<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/uncertainty-and-validation\/\">Uncertainty and validation<\/a><\/td><\/tr><tr><td data-label=\"Source\">ISIMIP cross-sectoral simulations<\/td><td data-label=\"What it gives\">Linked impact model results<\/td><td data-label=\"Terms\">Open, licence per dataset (to check)<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/coupled-systems-modelling\/\">Coupled systems modelling<\/a><\/td><\/tr><tr><td data-label=\"Source\">ISIMIP repository<\/td><td data-label=\"What it gives\">Impact model outputs for water, agriculture, health and other sectors<\/td><td data-label=\"Terms\">Open, licence per dataset (to check)<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/model-intercomparison\/\">Model intercomparison<\/a><\/td><\/tr><tr><td data-label=\"Source\">ISO 23247 digital twin framework<\/td><td data-label=\"What it gives\">Reference architecture for manufacturing digital twins<\/td><td data-label=\"Terms\">Licensed standard, purchase required<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/digital-twins-method\/\">Digital twins method<\/a><\/td><\/tr><tr><td data-label=\"Source\">Journal of Artificial Societies and Social Simulation<\/td><td data-label=\"What it gives\">Peer-reviewed agent-based research<\/td><td data-label=\"Terms\">Open access, CC BY<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/agent-based-and-complexity\/\">Agent based and complexity<\/a><\/td><\/tr><tr><td data-label=\"Source\">Literature on model genealogy and ensemble independence<\/td><td data-label=\"What it gives\">Analysis of shared model components<\/td><td data-label=\"Terms\">Licence per publication<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/model-intercomparison\/\">Model intercomparison<\/a><\/td><\/tr><tr><td data-label=\"Source\">NASA-STD-7009<\/td><td data-label=\"What it gives\">Credibility assessment of models and simulations<\/td><td data-label=\"Terms\">Public domain, US government<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/uncertainty-and-validation\/\">Uncertainty and validation<\/a><\/td><\/tr><tr><td data-label=\"Source\">National academies reports on digital twins<\/td><td data-label=\"What it gives\">Assessment of foundational research gaps<\/td><td data-label=\"Terms\">Public, terms per publisher<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/digital-twins-method\/\">Digital twins method<\/a><\/td><\/tr><tr><td data-label=\"Source\">National integrated planning models where published<\/td><td data-label=\"What it gives\">Applied coupled models<\/td><td data-label=\"Terms\">Licence per publisher<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/coupled-systems-modelling\/\">Coupled systems modelling<\/a><\/td><\/tr><tr><td data-label=\"Source\">NetLogo and Mesa<\/td><td data-label=\"What it gives\">Open-source agent-based modelling platforms<\/td><td data-label=\"Terms\">Open source, GPL and Apache licences<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/agent-based-and-complexity\/\">Agent based and complexity<\/a><\/td><\/tr><tr><td data-label=\"Source\">Network science literature on cascades<\/td><td data-label=\"What it gives\">Models and validation studies<\/td><td data-label=\"Terms\">Licence per publication<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/networks-and-cascades\/\">Networks and cascades<\/a><\/td><\/tr><tr><td data-label=\"Source\">NetworkX, igraph and graph-tool<\/td><td data-label=\"What it gives\">Open-source network analysis software<\/td><td data-label=\"Terms\">Open source, BSD and GPL licences<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/networks-and-cascades\/\">Networks and cascades<\/a><\/td><\/tr><tr><td data-label=\"Source\">ODD protocol publications<\/td><td data-label=\"What it gives\">Documentation standard for agent-based models<\/td><td data-label=\"Terms\">Licence per publication<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/agent-based-and-complexity\/\">Agent based and complexity<\/a><\/td><\/tr><tr><td data-label=\"Source\">Open-source optimization tools such as Pyomo and JuMP<\/td><td data-label=\"What it gives\">Modelling languages for stochastic and robust optimization<\/td><td data-label=\"Terms\">Open source, BSD and MPL licences<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/optimization-under-uncertainty\/\">Optimization under uncertainty<\/a><\/td><\/tr><tr><td data-label=\"Source\">Operations research literature on stochastic programming<\/td><td data-label=\"What it gives\">Methods and applications<\/td><td data-label=\"Terms\">Licence per publication<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/optimization-under-uncertainty\/\">Optimization under uncertainty<\/a><\/td><\/tr><tr><td data-label=\"Source\">Pattern-oriented modelling literature<\/td><td data-label=\"What it gives\">Validation approaches for complex models<\/td><td data-label=\"Terms\">Licence per publication<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/agent-based-and-complexity\/\">Agent based and complexity<\/a><\/td><\/tr><tr><td data-label=\"Source\">Power grid network models for research<\/td><td data-label=\"What it gives\">Grid topology datasets<\/td><td data-label=\"Terms\">Licence per dataset (to check)<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/networks-and-cascades\/\">Networks and cascades<\/a><\/td><\/tr><tr><td data-label=\"Source\">Published adaptive pathway plans, such as delta programmes<\/td><td data-label=\"What it gives\">Applied adaptive planning<\/td><td data-label=\"Terms\">Public records, licence per government<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/optimization-under-uncertainty\/\">Optimization under uncertainty<\/a><\/td><\/tr><tr><td data-label=\"Source\">Published city and utility digital twin case studies<\/td><td data-label=\"What it gives\">Applied twins and lessons<\/td><td data-label=\"Terms\">Licence per publication<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/digital-twins-method\/\">Digital twins method<\/a><\/td><\/tr><tr><td data-label=\"Source\">Published network datasets such as SNAP and Netzschleuder<\/td><td data-label=\"What it gives\">Benchmark networks for methods testing<\/td><td data-label=\"Terms\">Open, licence per dataset<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/networks-and-cascades\/\">Networks and cascades<\/a><\/td><\/tr><tr><td data-label=\"Source\">Published validation studies in each field<\/td><td data-label=\"What it gives\">Evidence on model performance<\/td><td data-label=\"Terms\">Licence per publication<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/uncertainty-and-validation\/\">Uncertainty and validation<\/a><\/td><\/tr><tr><td data-label=\"Source\">Reproducibility studies in computational science<\/td><td data-label=\"What it gives\">Measured reproduction rates<\/td><td data-label=\"Terms\">Licence per publication<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/reproducible-modelling\/\">Reproducible modelling<\/a><\/td><\/tr><tr><td data-label=\"Source\">SALib and other open sensitivity analysis libraries<\/td><td data-label=\"What it gives\">Implementations of global sensitivity methods<\/td><td data-label=\"Terms\">Open source, MIT licence<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/uncertainty-and-validation\/\">Uncertainty and validation<\/a><\/td><\/tr><tr><td data-label=\"Source\">Scenario Modeling Hub publications for epidemics<\/td><td data-label=\"What it gives\">Multi-model epidemic scenario projections<\/td><td data-label=\"Terms\">Public, terms per hub<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/model-intercomparison\/\">Model intercomparison<\/a><\/td><\/tr><tr><td data-label=\"Source\">Society for Decision Making under Deep Uncertainty resources<\/td><td data-label=\"What it gives\">Methods and case studies for robust and adaptive planning<\/td><td data-label=\"Terms\">Public, terms to check<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/optimization-under-uncertainty\/\">Optimization under uncertainty<\/a><\/td><\/tr><tr><td data-label=\"Source\">Software Heritage archive<\/td><td data-label=\"What it gives\">Archived source code with identifiers<\/td><td data-label=\"Terms\">Open, archive terms<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/reproducible-modelling\/\">Reproducible modelling<\/a><\/td><\/tr><tr><td data-label=\"Source\">Water-energy-food nexus modelling literature<\/td><td data-label=\"What it gives\">Approaches and case studies<\/td><td data-label=\"Terms\">Licence per publication<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/coupled-systems-modelling\/\">Coupled systems modelling<\/a><\/td><\/tr><tr><td data-label=\"Source\">Zenodo and institutional repositories<\/td><td data-label=\"What it gives\">Deposited models and data with DOIs<\/td><td data-label=\"Terms\">Open, licence per record<\/td><td data-label=\"Used in\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/reproducible-modelling\/\">Reproducible modelling<\/a><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-gaps\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" data-variant=\"inset\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Known gaps<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Where the systems modelling data record is thin.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Shared data on interdependencies.<\/li><li>Validation data for rare events.<\/li><li>Open model code for many sector models.<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-status\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Status<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">How the register grows.<\/h2><p class=\"nx-lede\">Sources are added to the register as they are reviewed. A source is listed only once its terms permit the use described.<\/p><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Provenance<\/td><td data-label=\"Definition\">Information about the entities, activities and people involved in producing a record, used to judge its quality and reliability, in the W3C PROV model.<\/td><\/tr><tr><td data-label=\"Term\">FAIR principles<\/td><td data-label=\"Definition\">Guiding principles that make data findable, accessible, interoperable and reusable by people and machines.<\/td><\/tr><tr><td data-label=\"Term\">Open licence<\/td><td data-label=\"Definition\">A licence that allows anyone to access, reuse and redistribute data, sometimes with attribution.<\/td><\/tr><tr><td data-label=\"Term\">Data lineage<\/td><td data-label=\"Definition\">The traceable path of data from its origin through each transformation to its current form.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section\" data-hue=\"project\" data-variant=\"inset\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Where this page's references lead.<\/h2><p class=\"nx-lede\">The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/www.isimip.org\/\" target=\"_blank\" rel=\"noopener\"><span>ISIMIP Inter-Sectoral Impact Model Intercomparison Project<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.jasss.org\/23\/2\/7.html\" target=\"_blank\" rel=\"noopener\"><span>ODD protocol for describing agent-based models (Grimm et al.)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.iso.org\/standard\/72140.html\" target=\"_blank\" rel=\"noopener\"><span>IEC 31010:2019 Risk assessment techniques (ISO\/IEC)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.nature.com\/articles\/sdata201618\" target=\"_blank\" rel=\"noopener\"><span>FAIR Guiding Principles for scientific data management (Wilkinson et al., Scientific Data)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-11-sec\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Can I suggest a data source?<\/summary><div class=\"nx-answer\">Yes. Write to <a class=\"nx-link\" href=\"mailto:contact@therisk.global?subject=Systems%20Science%20and%20Modelling%3A%20data%20source\">contact@therisk.global<\/a> with the source, its owner and its terms.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-12\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-12\" class=\"nx-h3 nx-mt-2\">Around Systems Science and Modelling.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/systems-modelling\/research\/methods\/\">Methods and uncertainty <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/systems-modelling\/\">Systems Science and Modelling home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/systems-modelling\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-13\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Systems Science and Modelling<\/span><h2 id=\"nx-close-13\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. 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