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id=\"nxe-maplibre-engine\" 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\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auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-nmw9gcji.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-nmw9gcji.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-nmw9gcji.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-nmw9gcji.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-nmw9gcji.nxe :where(ul,ol){padding-left:20px}#nxe-nmw9gcji.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-nmw9gcji.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-nmw9gcji.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-nmw9gcji.nxe svg{display:none}#nxe-nmw9gcji.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-nmw9gcji.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nmw9gcji.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=\"fieldmap\" 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-P02 \u00b7 TOPIC \u00b7 climate-baselines<\/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\">Climate and Hazards<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Climate and Hazards<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Climate baselines<\/h1><p class=\"nx-tagline\">Every statement about a changing climate or an unusual event is a comparison with a baseline: a reference period of observed weather, averaged and described. Baselines come from station records, satellites and reanalyses, each with gaps and biases. This page sets out how baselines are built, why the choice of period and dataset matters, and what evidence they serve for the institutions that plan against today's climate and tomorrow's.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/climate-hazards\/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\/climate-hazards\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-stage\" data-lv-fill=\"map\" data-lv-id=\"hazard\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"world:climate\" data-ml-src=\"climate\" data-ml-plan=\"p-4c760d9b\" data-ml-chart=\"f.era5\"><div class=\"nx-wm\" data-nx-water=\"ctx-climate\" data-wm-domain=\"ctx-climate\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"-180,-58,180,84\" 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=\"Climate signals, World: 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=\"lstd||||\" aria-pressed=\"false\">Surface heat<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"imerg||||\" aria-pressed=\"false\">Rain now<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ssta||||\" aria-pressed=\"false\">Marine heat<\/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\">Climate signals, 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=\"lstd\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Land temperature, day\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite 8-day composite; persistent cloud still leaves gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land surface temperature, day, 8-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 Level 3, 8-day \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"lstd\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"imerg\" aria-pressed=\"true\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-short=\"Precipitation\" data-wm-prov=\"NASA GES DISC\" data-wm-kind=\"Satellite estimate, near real time\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Precipitation rate, daily mean<\/span><span class=\"nx-wm-layer-src\">NASA GES DISC GPM IMERG \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"imerg\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ssta\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-op=\"0.85\" data-wm-short=\"Marine heat (anomaly)\" data-wm-prov=\"NASA JPL PO.DAAC\" data-wm-kind=\"Satellite analysis\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Sea surface temperature anomaly<\/span><span class=\"nx-wm-layer-src\">NASA JPL PO.DAAC GHRSST MUR25 \u00b7 <span data-wm-date=\"ssta\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ssta\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"false\" data-wm-z=\"24\" 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=\"ice\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-short=\"Sea ice\" data-wm-prov=\"NASA JPL PO.DAAC\" data-wm-kind=\"Satellite analysis\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Sea ice concentration<\/span><span class=\"nx-wm-layer-src\">NASA JPL PO.DAAC GHRSST MUR \u00b7 <span data-wm-date=\"ice\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ice\" 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=\"nD8AHC9C+3M3ObZpd9R\/Lxb2bo29sfEuijTslQu3cAY=\">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 climate baselines, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery, daytime surface heat and rain with a past-year temperature chart at the centre, framed on World; 3 further NASA layers wait in the list.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 NASA EONET \u00b7 GDACS \u00b7 Copernicus Sentinel-2 L2A<\/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.gpm.imerg\">GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.podaac.ghrsst-mur\">GHRSST Level 4 MUR analyses, NASA Jet Propulsion Laboratory; distributed by the NASA Physical Oceanography DAAC (PO.DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.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-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\" target=\"_blank\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Live: NASA EONET Events are indicative, not official warnings.<\/li><li>Live: GDACS (EC JRC \/ UN OCHA) Events are indicative, not official warnings.<\/li><li>Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer<\/li><li>Optional layers (24 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 surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/li><li>Precipitation rate, daily mean: GPM IMERG, NASA GES DISC \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/li><li>Sea surface temperature anomaly: GHRSST MUR25, NASA JPL PO.DAAC \u00b7 <span data-wm-date=\"ssta\">12 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>Sea ice concentration: GHRSST MUR, NASA JPL PO.DAAC \u00b7 <span data-wm-date=\"ice\">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-P02\/topics\/climate-baselines\/#map\" data-nxf-title=\"Climate and Hazards live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-s-3-sec\"><span>02<\/span>Multi-hazard outlook, in outline<\/a><a href=\"#nx-sec-question\"><span>03<\/span>Climate baselines: how the risk\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>05<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>06<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>07<\/span>Where the evidence comes from<\/a><a href=\"#nx-sec-decisions\"><span>08<\/span>Who decides, and what the evidence\u2026<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"climate\" data-variant=\"split\" 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\">A climate baseline is the reference description of past climate against which change and unusual events are measured, usually a thirty-year normal. Baselines come from stations, satellites and reanalyses, each with gaps and biases. The reference period and dataset must always be stated, because both change the size of an anomaly.<\/p><\/div><\/div><\/section><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"systemic\" 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\">Console<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Multi-hazard outlook, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-hazards-multi\" data-cx=\"hazards.multi\" data-variant=\"section\" aria-label=\"Multi-hazard outlook: illustrative console with placeholder names and values\" data-nx-z=\"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\"><figcaption class=\"nx-fk-cap\"><span>Multi-hazard outlook: the screen's structure, terms and states for Climate baselines.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"climate\" 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\">The question<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Climate baselines: how the risk develops.<\/h2><p class=\"nx-lede\">Historical trends and reference periods. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M5 22h14\"\/><path d=\"M5 2h14\"\/><path d=\"M17 22v-4.172a2 2 0 0 0-.586-1.414L12 12l-4.414 4.414A2 2 0 0 0 7 17.828V22\"\/><path d=\"M7 2v4.172a2 2 0 0 0 .586 1.414L12 12l4.414-4.414A2 2 0 0 0 17 6.172V2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Reference periods move<\/h3><p class=\"nx-p nx-mt-1\">Climate normals are averages over a fixed thirty-year period. As the climate warms, a recent normal makes today's extremes look less unusual than an earlier one would, so the period must always be stated.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M14.106 5.553a2 2 0 0 0 1.788 0l3.659-1.83A1 1 0 0 1 21 4.619v12.764a1 1 0 0 1-.553.894l-4.553 2.277a2 2 0 0 1-1.788 0l-4.212-2.106a2 2 0 0 0-1.788 0l-3.659 1.83A1 1 0 0 1 3 19.381V6.618a1 1 0 0 1 .553-.894l4.553-2.277a2 2 0 0 1 1.788 0z\"\/><path d=\"M15 5.76v15\"\/><path d=\"M9 3.24v15\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Stations are unevenly spread<\/h3><p class=\"nx-p nx-mt-1\">Long station records cluster in wealthier, populated and low-lying places. Mountains, oceans, deserts and much of Africa are sparsely observed, so gridded products interpolate or model across large gaps.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Reanalysis blends model and observation<\/h3><p class=\"nx-p nx-mt-1\">Reanalyses run a weather model through the past, constrained by every available observation. They give complete, consistent fields, but where observations are few the model's own biases dominate.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M21 12a9 9 0 0 0-9-9 9.75 9.75 0 0 0-6.74 2.74L3 8\"\/><path d=\"M3 3v5h5\"\/><path d=\"M3 12a9 9 0 0 0 9 9 9.75 9.75 0 0 0 6.74-2.74L21 16\"\/><path d=\"M16 16h5v5\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Records need homogenising<\/h3><p class=\"nx-p nx-mt-1\">Station moves, new instruments and urban growth create jumps in records that are not climate. Homogenisation detects and adjusts them, and the adjustments must be documented to be trusted.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" data-variant=\"stack\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-5\" 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\">Climate normal<\/td><td data-label=\"Definition\">An average of a climate variable over a standard thirty-year period, computed under WMO rules.<\/td><\/tr><tr><td data-label=\"Term\">Anomaly<\/td><td data-label=\"Definition\">The difference between an observed value and its average over a stated reference period.<\/td><\/tr><tr><td data-label=\"Term\">Homogenisation<\/td><td data-label=\"Definition\">Detecting and adjusting non-climatic jumps in records caused by station moves or instrument changes.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"climate\" data-variant=\"stack\" 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\">Indicators<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Temperature anomaly<\/td><td data-label=\"Unit\">degrees Celsius against a stated reference period<\/td><td data-label=\"Cadence\">monthly<\/td><td data-label=\"Source type\">Station and gridded observations<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Precipitation anomaly<\/td><td data-label=\"Unit\">percent of reference-period mean<\/td><td data-label=\"Cadence\">monthly<\/td><td data-label=\"Source type\">Gauge and satellite precipitation products<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Station record completeness<\/td><td data-label=\"Unit\">percent of days with valid observations<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">National station networks<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Reanalysis temperature<\/td><td data-label=\"Unit\">degrees Celsius<\/td><td data-label=\"Cadence\">hourly<\/td><td data-label=\"Source type\">Global reanalysis<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Observing network density<\/td><td data-label=\"Unit\">stations per ten thousand square kilometres<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">WMO observing system records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Homogenisation adjustments applied<\/td><td data-label=\"Unit\">count of breakpoints adjusted<\/td><td data-label=\"Cadence\">per release<\/td><td data-label=\"Source type\">Dataset documentation<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G-P02\/topics\/climate-baselines\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" aria-labelledby=\"nx-s-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\">Canvas<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Climate baselines as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g-p02-topics-climate-baselines-flood-ews-t nx-dag-g-p02-topics-climate-baselines-flood-ews-d\" data-nx-z=\"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\"><title id=\"nx-dag-g-p02-topics-climate-baselines-flood-ews-t\">Climate baselines: flood forecasting and warning chain<\/title><desc id=\"nx-dag-g-p02-topics-climate-baselines-flood-ews-d\">Rainfall forecasts drive a hydrological then a hydraulic model; inundation maps are compared with thresholds; the mandated authority issues the warning, it reaches people through every channel, and action follows. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"climate\" 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\">Sources<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">ERA5 reanalysis (Copernicus Climate Change Service, ECMWF)<\/td><td data-label=\"What it gives\">Hourly global atmospheric, land and ocean fields from the mid-twentieth century<\/td><td data-label=\"Licence class\">Free and open with attribution, Copernicus licence (to check current terms)<\/td><\/tr><tr><td data-label=\"Source\">NOAA Global Historical Climatology Network daily (GHCN-Daily)<\/td><td data-label=\"What it gives\">Daily station temperature and precipitation worldwide<\/td><td data-label=\"Licence class\">Public domain, US government data<\/td><\/tr><tr><td data-label=\"Source\">HadCRUT5 (Met Office Hadley Centre and University of East Anglia)<\/td><td data-label=\"What it gives\">Global gridded surface temperature anomalies with uncertainty ensemble<\/td><td data-label=\"Licence class\">Open Government Licence<\/td><\/tr><tr><td data-label=\"Source\">Berkeley Earth surface temperature<\/td><td data-label=\"What it gives\">Gridded land and ocean temperature series<\/td><td data-label=\"Licence class\">Open, CC BY-NC 4.0<\/td><\/tr><tr><td data-label=\"Source\">GPCC precipitation (Deutscher Wetterdienst)<\/td><td data-label=\"What it gives\">Gridded gauge-based precipitation over land<\/td><td data-label=\"Licence class\">Free with attribution, DWD terms (to check)<\/td><\/tr><tr><td data-label=\"Source\">CHIRPS (Climate Hazards Center, UC Santa Barbara)<\/td><td data-label=\"What it gives\">Blended satellite and station rainfall for the tropics and subtropics<\/td><td data-label=\"Licence class\">Open, licence to check<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P02\/topics\/climate-baselines\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" 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\">Decisions<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Climate and Hazards prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">National meteorological and hydrological services<\/td><td data-label=\"The question\">Which reference period and products to publish as the national baseline<\/td><td data-label=\"Evidence this page serves\">Product comparisons; station completeness; homogenisation records<\/td><\/tr><tr><td data-label=\"Who decides\">Infrastructure and building standards bodies<\/td><td data-label=\"The question\">Which climate values to use as design inputs<\/td><td data-label=\"Evidence this page serves\">Baselines with periods and uncertainty stated<\/td><\/tr><tr><td data-label=\"Who decides\">Ministries of environment and planning<\/td><td data-label=\"The question\">Where observing networks need strengthening<\/td><td data-label=\"Evidence this page serves\">Station density and gap maps<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Baseline climatologies with reference period and dataset stated<\/li><li>Comparisons of observational products for a region, with spread shown<\/li><li>Station network gap maps for national services<\/li><li>Anomaly series labelled by evidence class<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"climate\" data-variant=\"stack\" 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\">Core questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">What experts ask.<\/h2><p class=\"nx-lede\">Baseline questions concern the record and the reference.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>How long and how reliable is the observational record at a given place?<\/li><li>Which reference period is being used, and does it already include warming?<\/li><li>How have the mean and the extremes of temperature, rainfall and other variables changed?<\/li><li>How much of an observed change can be attributed to human influence rather than natural variability?<\/li><li>Is the past still a sound guide to design and planning?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Mechanisms and drivers.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Climate varies naturally from year to year and decade to decade, through phenomena such as El Ni\u00f1o and the Southern Oscillation. A baseline must be long enough to average over that variability, which is why multi-decade reference periods are used. When the climate is warming, however, a recent baseline already includes part of the change, and an older baseline may understate the conditions people now experience.<\/p><p class=\"nx-p\">Extremes can change faster than averages: a modest shift in the mean temperature can make formerly rare hot extremes much more common, because the tail of the distribution moves. Changes in measurement, such as relocated stations, new instruments or urban growth around a site, can introduce artificial trends that must be identified and corrected.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"climate\" data-variant=\"split\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and data<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">How it is studied, and where the methods stop.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Method or data<\/th><th scope=\"col\">What it shows<\/th><th scope=\"col\">Limits<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Method or data\">Station records<\/td><td data-label=\"What it shows\">Long local histories of temperature, rainfall and wind<\/td><td data-label=\"Limits\">Gaps, relocations and instrument changes require homogenization<\/td><\/tr><tr><td data-label=\"Method or data\">Gridded observational datasets<\/td><td data-label=\"What it shows\">Consistent coverage across regions<\/td><td data-label=\"Limits\">Sparse stations in many regions mean values are interpolated<\/td><\/tr><tr><td data-label=\"Method or data\">Reanalysis<\/td><td data-label=\"What it shows\">Physically consistent reconstructions of past weather<\/td><td data-label=\"Limits\">Model-dependent, especially where observations are sparse<\/td><\/tr><tr><td data-label=\"Method or data\">Satellite records<\/td><td data-label=\"What it shows\">Global coverage of many variables<\/td><td data-label=\"Limits\">Records are relatively short and need calibration across missions<\/td><\/tr><tr><td data-label=\"Method or data\">Detection and attribution studies<\/td><td data-label=\"What it shows\">Whether change exceeds natural variability and why<\/td><td data-label=\"Limits\">Depend on models and on the framing of the question<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/climate-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Climate and atmospheric science<\/span><span class=\"nx-mledger-role\">Detection and attribution of change \u00b7 Extreme event attribution \u00b7 Process-based model evaluation<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/climate-science\/\" aria-label=\"Climate and atmospheric science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/spatial-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Spatial statistics and geostatistics<\/span><span class=\"nx-mledger-role\">Interpolating station data \u00b7 Merging satellite and gauge data \u00b7 Spatial clustering of events<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/spatial-statistics\/\" aria-label=\"Spatial statistics and geostatistics: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/earth-observation\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Earth observation and remote sensing<\/span><span class=\"nx-mledger-role\">Flood extent mapping \u00b7 Vegetation and drought monitoring \u00b7 Active fire and burned area<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/earth-observation\/\" aria-label=\"Earth observation and remote sensing: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/computing\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">High-performance, cloud and edge computing<\/span><span class=\"nx-mledger-role\">Running and storing ensembles \u00b7 Analysis near the data \u00b7 Edge processing for observations<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/computing\/\" aria-label=\"High-performance, cloud and edge computing: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Baselines differ between datasets, especially where observations are sparse, and no single product is correct everywhere. Reanalysis is model output constrained by observations, not a measurement. Homogenised records carry adjustment uncertainty. A recent reference period understates long-term change. Climate and Hazards compares and documents datasets; national services publish official climatologies.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-14-sec\" class=\"nx-section\" data-hue=\"climate\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What is a climate normal?<\/summary><div class=\"nx-answer\">An average of a climate variable over a standard thirty-year reference period, computed under WMO rules so that anomalies and comparisons between places are consistent.<\/div><\/details><details><summary>What is a reanalysis?<\/summary><div class=\"nx-answer\">A complete reconstruction of past weather made by running a fixed weather model through history while assimilating available observations, giving consistent gridded fields.<\/div><\/details><details><summary>Why do temperature datasets disagree?<\/summary><div class=\"nx-answer\">They use different stations, ocean data, interpolation methods and adjustments. Disagreement is largest where observations are few, and comparing several products shows that uncertainty.<\/div><\/details><details><summary>Why do different reports use different baselines?<\/summary><div class=\"nx-answer\">Because they answer different questions. A pre-industrial baseline measures total warming; a recent baseline describes deviations from current normal conditions. Good practice states the baseline explicitly.<\/div><\/details><details><summary>Is the historical record still useful?<\/summary><div class=\"nx-answer\">Yes, but with care. It remains the foundation of hazard estimates, but for climate-sensitive hazards it should be read together with trends and projections rather than treated as a stable guide.<\/div><\/details><details><summary>Does the platform publish official climate normals?<\/summary><div class=\"nx-answer\">No. Official normals are the responsibility of national meteorological services.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-15\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-15\" class=\"nx-h3 nx-mt-2\">Around Climate and Hazards.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/climate-hazards\/topics\/heat-and-drought\/\">Heat and drought <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\/climate-hazards\/topics\/flood-and-storm\/\">Flood and storm <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\/climate-hazards\/topics\/wildfire-and-land\/\">Wildfire and land <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\/climate-hazards\/topics\/earthquakes-and-geohazards\/\">Earthquakes and geohazards <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\/climate-hazards\/topics\/compound-hazards\/\">Compound hazards <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\/climate-hazards\/topics\/climate-projections\/\">Climate projections <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\/climate-hazards\/\">Climate and Hazards 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\/climate-hazards\/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-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Climate and Hazards<\/span><h2 id=\"nx-close-16\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Climate%20and%20Hazards%3A%20Climate%20baselines\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/climate-hazards\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/climate-hazards\/topics\/climate-baselines\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/climate-hazards\/topics\/climate-baselines\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is a climate normal?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"An average of a climate variable over a standard thirty-year reference period, computed under WMO rules so that anomalies and comparisons between places are consistent.\"}},{\"@type\":\"Question\",\"name\":\"What is a reanalysis?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"A complete reconstruction of past weather made by running a fixed weather model through history while assimilating available observations, giving consistent gridded fields.\"}},{\"@type\":\"Question\",\"name\":\"Why do temperature datasets disagree?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"They use different stations, ocean data, interpolation methods and adjustments. Disagreement is largest where observations are few, and comparing several products shows that uncertainty.\"}},{\"@type\":\"Question\",\"name\":\"Why do different reports use different baselines?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because they answer different questions. A pre-industrial baseline measures total warming; a recent baseline describes deviations from current normal conditions. Good practice states the baseline explicitly.\"}},{\"@type\":\"Question\",\"name\":\"Is the historical record still useful?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Yes, but with care. 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