{"id":76,"date":"2026-10-16T09:05:21","date_gmt":"2026-10-16T09:05:21","guid":{"rendered":"https:\/\/therisk.global\/climate-hazards\/?page_id=76"},"modified":"2026-10-16T18:35:52","modified_gmt":"2026-10-16T18:35:52","slug":"climate-projections","status":"publish","type":"page","link":"https:\/\/therisk.global\/climate-hazards\/topics\/climate-projections\/","title":{"rendered":"Climate projections"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/climate-hazards\/topics\/climate-projections\/ \u00b7 source authored \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" 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8fp+vUiTnQnH8MTjE9x39Lh64Ir4CZ+2cfiZtRJ4ifMI\/GjL5P813hhfjjl3m53WKJj\/PD4OMLbzei7TjnP0qOESa+DUv4Cp3NuW5uPPaDgPMZLKZHksi36wOaESZT+vzdLvYsAf5iGjl+WmyElQvoOEiXmVE9uFb+Fl4kgyHX1AJnmjvTztEkVn9QvXz9OXy0uL\/yC9h33+W31HvSk+Zl8RN+X7\/e9TSAdXsgfgl4tkAXiq+Lb2dXecXmg9Xn6YDNGmXWcLSI\/wgP2rPUilvwpvdRbZgvXAv1VSke\/4p\/23+uwZKM+jI+gxZxpBLMwuPx7kZ6BzE5obe7Rh0liw3xLCqa05H1DPO2jqFd0XjTrs29t2d6a6Oqxfrg9yGcSdhIaf50AyWN+qn4Wo8qzfi5eOjsKImEjYLjLiAKaZ19TmHcS86rM22TfF6ULmJwTO2jsKvgvDN8fxuDtH2TC44jG8OjBUPm4uL0+aSL31kArb9Wc\/aoPkyNn3v9Y5l3uCgHdSWK6MEcl9We2tJe6ve5f6kZH2o7PjaYCAgKRoFo46g8JRRx1huBn3RFZEP9Zvlht30GcrIUoQqBlekrSCw6pyh+TiOW5KlDqnBM1F4tMmvsFeoQGPkwpDhaStl5j10VGDKBVqes8JUyCS8J4UjhDmRQqhiC\/2QQ+FWdEOvceArB6lNdUy+54Ae6EnyWYYUthxqw0dJGKNqW5CRq9q75tUovB89Sm0eWx5sRDFy1QJTl6rsg1zejjeOruWPQQ56beL0+Da\/7bZNnN7108WdsAjSLovtSk3eNJ70d+q32N3sI3fJzNgqLNPIczJumlwsRHOJDV0dUlbNVwKQVYD5vljLrGT2o\/NWMIIDuFFW1LqoD1l0hqxP2CJqfKKekbbz09nac6+bmhY8GYwrzEFzIN6kdKs9LIkF66JoIoOjBQPZlMUJSj8q78yGAoICahgntqRC+dUMmddCzErW+W4SfNE0Qxe504WYhtojlIfFyLTIrDM8OIC+z5wn2hk2c5V36BMNpZ9jWrQMfA7zo8O4CgSDp84s7W12Z9CQOsakoqXX+tPU2NRgzmywLD2jMSiSXM9Igd4BhgnbuWXu1i4GvqYsThlzx4SpYCNZ+hUuY04Mhp4Ea\/ohVscG0EaPLSdi7Sy7xsFlN0eG2tLVNBrkZO25W0YaTUAXqQt8SbS42r0SOtoWLgko7e3qpVOp3w6q+6H0CrmIRf+8qi6nHZqIaPjtWRbeZzyydehc4tfCsgkDVsQhH8Mk9G2RXZDAMSbhWfQda9xtECnEdQrMhuPy9i4IlpzM5fBMLrvdw0mdhiOqBjTHXiFUKn2uOIy2LyTpaLeYyXm3LKms2EgrUp5nkI1IQqxkHrpizfGyUaFf7GFLHw3HHZ7AbMas5NgOlxpsEGx7ftqIaSx4Vs1gTQruJpzks0noVAi7sRxZIrBhnAb5YtkNOnL31t1VWOd+b7JgXvCtmR0UqgQpk5K0v7rPUs5d4WgIJ2hm7gaFJWrYXSbn5mf2T\/vzL\/emcKd74YVrs+RlCHHhv85e9m13J145WGa3WluYseBzvhloO4NOzxYHNpDWy7Wdslt+OX3pYH7AQQ4nPUaSFm4F6\/Wrqxs33BKXqS2meTVsSsp5mV62hq+3W9\/123ywsOv2c+yuJonPrUYf\/b68eYfYWtYNC1rpqF2vmS7BGgukdcvF2tC2HzcMcToVx1ePdLLSBMg21r5dG4ItZpPKpqLz9vpRSI7PhacnWVplj5xnXSlwl+x3hrWyirPKRyUmnsdIWZV5Yys\/kyvKJbC5dEQJ0owKtJYHysWK9ZllcIJAC+w8jUNACbqIcad0ruWGlmi5VJGsOITWU+6roYh0LNk6R0MKyZapx1UkQ6nLftGWXCYuhxClStSpMnhmnCO2Z7fFQN1rWHGuLtWZqkqFuN9vqn6oxAPVE1yEi+U7ff9YhcufGMyHumQP3Hzz4b13+weKb2pFN3d6okpdYtm6cs3ZKJY1D2XRy2pHRSxqkMOdvjAlG3kuVFD0zJHkXkkbXd2SbnG8Kty8H3woO5z6UBsSHVLXi2reX2sZguiUl4x7hpdeIkLFeNx\/gc5e91kn1SylxNor5\/5gcKSul7o46rcqMsV8X5S6Fy+9SDjVpc38BF5zTEZFJkUY7FeZtmVz7mhoFZGrbNTiVfHqpZYejBOKFPiMT+uOeMHpfGST7\/p290ofelY1Mno9uUX7kfNQsvFMrb7llWLKU\/1sCbt3SyobmThxqvRkQOcuYcdofzGOVbclTndj9TjmIc4lskA5uDOtv+yx7aq6yVGDYqJHCyOoWnORjaTOomE5K+JVth7bwhbMBuxCIppaWkGDyGJoxboQtA\/r4DBUBKUbqE6xZq699EoFV7Hs+gsUMbsNsWSZMjBNUywKQVXWzE7G1Hd+BA20HXEyoBi69oilosfWvYauy5AqoYnMHbMFeod6cxXiVOFCRcrQucSXMZvN0J76lOKWcYHaTdkxg\/RFuRTMt3SNnM4I8kBEuCbQLqIIBvpdR6c2YFrfzQsW5YgsiqIgYpxO86nsg+teXE6JdtIed20YhqznkSyesaF9NcbEU6Dp5Dn1TTgpiDjdJsu8B6KD52R4Dy1BeErKk1BV7yVWKjZiXlJUzMlKYXuLO1R51UGO5QpX5hgWWAhCbIH9VhV66THcHtyUVSxjRhk5StoRQW4gRxNd1ZzkQ6TkSZakYJiCAFQIcavcpKcRi8A6rBiBuZnyzhP2mWqBQ\/lieQEGGMXpPCTexCTpm9hcrZF1g3yaJXpDIH25bAZPUlUwcpkN6rqehIgTMc4YYuaMgMIVKnKpOuNGsU2MD90GuRxi6qdA3tx9iO7d+ijcw9dUECcHpM9IKL0ffzNMYl5+2qwSpwEGPMkxDDwtR3wn+izKbdSIfrDcDAMqWZA18bQwmIU3CclQlbA5+778iJ74fe+SSG8Sjy0fiADdarfqcj1ecMQ91dNPoRZKPDQ\/TyZ2G76JlNzrHc7JcaHJCLMbkcp7NliaboMc61p66AksDWekX51SJgRoRckiHRZfLjvZO4l8vMglItGyR3ueSzhiv2Vd0rO8EqEoyZ6CV\/kfGwNwrJ5XPTbxm1YKuFf8HR2LEMm\/UY+mLQH\/mn9O11f5mThyxKwuwuf5oyaMyAORxnVSep8OTUlqT6NNLMaA4RiaEzrG8TQd3sRDNVWF2WBbwkBfXM2bUsMG9YRvwS7\/HsvU4rGTmEUnrrYLfptnNp\/fDsvapluC8b5Kp6pcOfBSwQf5lov1KoUbvJNZlWSi4FP8iza+vtnKfyINNjLnU+fA8u8xFq1NpSfQek5MJPA0BiKxFWfTvxe9tMPnjJMGZXsf86Sic6LYPN+HiQq\/eQoeF0c6V1awcezFlLeDSj5SNwhTdYh\/wiKcppr2yJwK6sOSIyw4hfsfg78hnjbtbtrzJMncQ4M0jyIkH8bOwXlXN18hTtDsbUicLAOGoO7qkn8KR+QWGlKyY\/nW\/G94y3bTzXJGHqfPkhFrkMX7xXVWkgt8Fl73eqDid02cOMcfCYM8jw+m58yD3qYB4\/7N6n5yyTweMMziJkwTCzFepceyjRhDmsEfk8gZCe6Y347r3lxKFstZepYvqMK7pERLx\/FcCRfFL5h4Kuqo3PNiTfrsULnwUAGnxPfqPAp348A36Spb8CjeegoqYbuwCFXWQcQj7+lSUTeLLBjW+JhYtNBJHWzeZ932XyGP0ECrsPEQLPnHda6Do8MgBMsTj60Oh\/SV9b8jB3xdvTt8mUVUpI1dIPGOeLl4LL\/AHyJXeZH36DEfutetz+f7GPIZKjFXZ7KKwVYh9OFJ\/glj33J0BZ7zPd3BQZGVHea8wTUyeqmGn+A\/YBYPm9vF5zmwTZZSyTxSooJ8J\/xL3tdkLASp3Fm7zkyelRp6endeZcVLbjZbIjDFc2Zrf7NNZtw9blmMbN9ZOg\/KZ7HhpDmkzzBKDkSnF+6F8CdSy8S+0FvxH1fP5f9LrYtvSE8Sx0p6lxM+YI5ieUk8YrjVG\/Al\/k87fGT54PxPrEmrlTFP1TPxcj3ihCrm6816xt7t7ovhHSDZv\/ChcfxoanJZR0J6Zk1E8GRkUjEKJI8isU0svOGT9QJYCJEVw8ZxGXBucluCbyuhrHZIoul07jD1tsKCtFQw8DP6lEjVJlkwEbEUSalAFYunxtUm1H+F\/Kr4g+i+0\/8SfhRq3wtvidTf8B8Dnb\/XjcQOuZiYTYuXR+\/1D6vTcK99Qn8msuTD19MwtPBZv\/IU+iZH1T6b2HzBxuF0YjmSu5GH+y2NHl8Kz8W+U\/F8Sl3lIp26A9rk3ZNMAJgsQOl+IP4lXHBGfGfD\/caFK+UrseUL2\/d32X7op2P+Td2DC69erRr7ArvXodekWr\/RtpHy3pSnmcrGw5o1VVN8Je466qfkSlIh+2N4zE4Tynvde9z1SKGdPaP\/ZaTZqNua2en+9dCytWPtc9TXfTqPyhpqnYgv+tLfbMeuoYu4aYjvtMWlL4PPR3FoomOxO8HT\/sRb+pbCPIjsaSeZN2xR9MIa1zUzx\/k2L2Bdz0RiVVpywpYcZOmb0ZFM7BTcLDd9nydiCm14btv1hmWuOGNv4lpR4kYPL79aMr5J72DgVJ4Kl7GljNxyt3p1PCdUfkZIuMxk1gphSBajIbzYe5pctA+yhhPsYMBeoAkZ30pXmZAtJoLZmdK3gdCrleBFXKKgjvYF4kxKtmBcGThWm8OnUTDf+53wPLnqEW+Kfb5Hr1OPLMx4K9+eLnKaPs33scgH6rqQdFh9ZDShNTxJLWP14+nMCc7L57iUCQft+3pPyu8J446ysiDmQThd3iLj9Y\/0lNiH99PfoZZK9q54gW\/Yh5GxBU7IR2HvV2jP\/4Z3iM3qumO49AldewjrQGMblG1DgbvR+HyC57nNjSZFk7tEvQ6STI1NPK0aEgMMQ5OLEOMEM+Vkwy+S8kmPmp7Xcey71744aY7pwGPYz+dMjm0eWMyFj7DAQyvDyB7lYViQiQ\/krlWx4\/MAaRV78ShuzH7dzeBjsA6k3XNv7V4qfiMdN9\/pTP4L9bTaNxXoQLv7zIAP4l\/z6Lv05+k9y1P5Af56t9G9P747\/t\/pTHohi5ATy0P8G\/YZPYK+NRnzfRvfXv5t8l2BOQ1n2N7kcfFoPKfuLT7Cf44ineHfLyyx8An5vCCbD4oHhu+sv0f8LNOjU3Cp2CJXkdOWETmCMxS5y1vqQq\/EAxao8ltqyELY7Gq6ISn3lOKlKLsufQfb0GX\/sd5H0pD32jdUu+hAuQF7oxdxT44Ts9FLcr7u+V7Iqa82u0G6uPnfKFVpRtkwD4yBYTPIj5mt06f6bynfyxLyNAw+KNJ3yIQAXrElHfpTg1Ccw4vpfHchshTIPEi7ypKf7e6hu\/5h3DQfwp1V4XRH09KJkGBmpuH+xtjF9YNg4pD1JPACtwcXh4XaFISX8HpZFBdGu\/UHyp280\/toeIANyDeFLXFOlXT36KNQqG0GTIiHp29wJt71RL0p3c\/OmqPB96WRnMRhO85jMqxLPqJvNRtyw+3Q4fpH6SRg7q8afr8duZwEvE\/LfInWBVvd031QKztqZRjWAXuuTyfuXabW93OhlV+4RETI+Krdcy59la28CqPwcuRxWQawLUuhq+EqWrPQId1Ip0ztrJOdTb11L\/ScST0+8DzsBaBfdS\/I4xhtAYfReozrJKOOPfNCfjDGKHOTCgfRL99lnsb3rt4Km2GaivQNs4\/CG\/8+wMf+f27\/+0\/A\/KNw0v6mOCaj4mPwDN3DKavxTzY\/Bkn\/NHnCb9PT4dvY\/VTRNT5SPVZe4QP151jyj8KD1VNM0cs0Ipefl4fka+IatZSLy+Sz\/AhDv4wj+vr1D8pztOHZvIUULBCBmgqW+BF+np92b1Xz4i1kx59lVp4l7xAKx+HH2RP5x+S707vqOmx5n1RobWCPVonUdmN9GL+Xf3Pe8z36OspIEFdYgQkOSs0OWBEv4CXxR6WmPA98hve7S\/gt8T5ScBRnU+1sxHQPbrqhfYKOSxpHwiPGDdMn95nQ\/39jmTg\/GFbNyO8ek9NcCV3X\/KSsPi8IFg6zqoEOBLCaJjJgkY245yL1WaYVI2RUDYfvTeqK+D32Q4RUzus7sIj97G+leZvvuM5hDHBXkqrLkkXkojtz0EuEY1v5paHrSBc30i0SkMojBTCguijNXUX5BtFKofREFnG+Oi4IlLLlZW5VopcC5xX1SH1ML6BjQKQy+RK9wRI\/A5qxvMOqfFsN\/URoVqKjPFZYBUEGDLCmkXLi2wOhNy5D4IztIsYOXVUTiZ7t5qmiOKCOFfQUmYoy9JBSjSRpzMWOFSrhaXpU3yMw1syLLZOrXhOwxwIjdBRL1dDTtsfJYDdu2dbE4ZnMdVQbLJBh4LHL0uS6px90K3IzDj3N9\/LCb+ZFZHliHK\/SQzd+ULPMbGwP\/c3yX4nbPJCj1cXkzOlArZn21o+KmiW6VI0U7VtZv1pzGD+aJmbUUyKL9aZS8\/iG9TAd2HVzD9uuGd1kqfeeoFBQq85AP60yhhBYWOV7ZAUXi8teOJ96EsWkXvCB+8b9D9Y9aHrTvCoIFT1CGo4k1PfsbueHw87Kt6tu1EHwd1BvOq3Tcj93noU5dSjIFbMZHxCy2FNc9ntWMlri6Xa4Tr4m23inIET2rLyan2FUueFgdFdV4rQi3EMVuEPbOR5CKNx76q9IAw\/xJZ\/AePUInPEprNYxkFKBcsTYpFjm\/aqpVXWT32WBM6EFk39XH9qxXMp7yutkV9wU9zAz+CgMYJ9J8vpcBg0j+VDY8gEFA3mc30LXiCIN3m4fcC\/H9+gjOMXL\/LY4ypgi9DxLkdVWgLBOHJpTer76dHM1TRfPydPVB8gRr8ip5BLGARt7GXySLgcXStRVHw2t4LtSmbsA\/lR6Qky4Y5RuuwntBcHK3DenQxd6cZ7GFsT19TaKyFPTju0uVpOtboKP6nuZJIbJdFE5YvkoH7PM7+OaoP6xfDOuk8BH7ZIh7RzAKuTM6KjaCY\/4MhyF874jZ10JNg74N8Un9M4qh0mHQdhO9ksQ58O38klXxE0nyIYoCkM0kxzcE\/SN3TeY7T8GfaO8ltvcj5gjHvsb7GwQKeCuFqTqikCSs+OQvNC6fM7j4R9G4rvmlc73DsML7TGmkpm7PjITNVpvujQ\/tMEUnMe67TRJhaahY4ErMKZtzFL5jsztyoQ1o9rO0a1JY+a3P7B\/tqhHJbAzj\/3l4jxGUdAwUrjDj+PR2oYTDnc1u5oaxVOzUYb\/8PIXXExDz+AV3+abzLNJ8VRqIhITMrAU2DOu41387PSVzs5fWUz3\/yJArGFjkaBQQMvgYmka0pe1doQNeN6annORWq9M8vLW8Ype6W7fuDt78ZnZDT9ncwXBMpJDswbtSOy6bp6Pnm1it3F1cgwJlzatfKZLD9TZJLJeSYdSun4x8sRymcuRzS0\/qddYZKRTEktqBoy1MSpnbsyvYGa1oNBh3tgsTF6t191ha\/K+9o7aUxZtDBKKqsTSjPNm66hxB4E6T3SgBwfN1rV6viluR016qw3D11fIRI9sA4XNoAN3wVKirbm9xk4Lp4lLRQPEBJpdY+MisPWK6JW21zCEBM4DtZTWXYgrBtrF11i+TK2zuXEao\/FahgimdrVgOpKki86nuGrXRHuive2OzfE4xK899oUe8SvS+Omr3PtMbERwQfogdatSLNpGuLU22Z4R5QLWkvLoTQWDtpzlxZBQG5p9eHl+REl9VBzz0sVkuK2hvHah4VdgVc44DxFSd+4ZCf3m8aYwRQI\/XoMp85kihTpvFsTv5ZFxaSOxsB0qzLYOwq5ScNw7upyp7GP2Kjtfk647py62JhU6CcakoRR1SFUKQSafS3NOV9a1mzbaILtosLMkcMxO0pU+ESIopyG7MukMXUmZ98yH5rBF400bpzETfvv2\/qttCtPGoQ127a9z6r14fn2MuV1ZW6TjlXXtcLoZ3nTrvva+o4e1pDQwAFbZIR86UeaWI4uUQxOJOykseHNMuzPX+W4l7FzMSyOUb3kizchQPfDmFda4J+WMfekknEsH6\/VNPh3t89nrr8fuRJSa5xqjzvLq4Og0iYaFeLe\/zZF7MSfaemKG7IGHH7mdW9FW5tz+5KXbzFl3N\/vpUsfZQufj9qazXT7+fLOCdbOfDtomHFJd+QtOuB3c7Kr1xVnvuNIbrk+2mnpW2jK\/5UVoz4pXlsPp3sKllTga31XP7rZ1dHM23Z6p43yHL7ee2tBCEi3N5tcfctAuSH24DT01SgM1Um8u+rG4FbLMepb+yedfePHq1770dDI6+O7lRfS39HTQ+Q51vF6sR6twh9n4irp63C2ba\/uHRzep+1JPYKAvp04fP2OD50iX+Wo3O3rp1qvPnXDkztM2GHzeLtNd2xYHPMFJ0TGVdNTIchBPzc8099zaMrtpZC\/m\/\/zJh7LkD1Sntyd4\/7yvHjnkg9iwsKsfeD4Lpiet5ZRx3beJS9knrkAmV0QUQMNQbWPfcIye6SKBlc4SOMYQSPIiWpqXVVNGyqglnNj+mh4j11+1Nq+Ovy7vEn5C0OAy7Wce5+urfPX4n4qlBGJ7hsnsBPbWCsSyjMzFJHOKGESmimlUcc4No6xFSdwQgmQb6bhyiP0pqlF9qdiAkUE2oKOVDxPs17vFaPNMUY+2e2pv63S\/qn2fblf9Qf+eezdp7YipYZcVnuaNvXepN8CGr4odv1deCkikZqIKrFkf10dHmmcVALnhZotsdpenZffQeov2lFJYB4WDc\/aMYeEeLdPZ5nWDB\/IwcPQh+hGeUvWbtoW8GEoVFmzVHMfZ4DppmpCW2CkPt2Q\/H6MoO8nEVKJjtOSGceU4S4uKqgoewUCRjtmSk\/Rgb8K3yD1O5IGWVOl72CQOi+1KDu25L42eR0E8xTysBa2qJQww8yHL6z\/rFie8S4emoNs2kOnqOuqKiqNqGzN7FZFqMiFt5VqKzi9XTWznKXWc5HjTJLP2zsz6buRTvjm\/U9V5pY79bUt9yRrDROcY8XWXvM6zAWqPoVud0SC7qHWRLDOHSmrnK+uCdIKWTdE3W5zzZdovNZNi0ddcn2W9aXUt9qoFnfUWlEt98v5PaKWeRUGju9Vx7ztcb88LXbk6bxo\/f0CXJpUdzlba1oaE1mTdUTOuJh1fqpANUmIKB+vJTdpV601X3OyW85eq583Chhk7+Epi+3c1OqVX6+CnjU5fX9+pl5zlUGh3TA4U20yZk5blorCW2PuGm6FkKmXPKHNI6rOhR3fc+1i5rXIcY1v11wSrxNbSyQyKLpEwize4oRI9SKIZiDOuoqcmGmpHybkThZ7aGcniAgxxkYZ4wvlFWfS4GLLdqE7UhqQA6RliwJLancEBF9zXielNSCXnWcjkTphnSUb19oGLPb+2yTaehGCqEPO2ibkqd3KxPIeZNjz5auPbY484o0hVVmxQqqbL9YU47uNwuSUGVao4LMSJ1tELUtzvH1WYhBjGDWnYkYjuRQZ2ob\/IGHNRS2QHm3hy\/k34osJEB5KryWCDDUvAFQP4uo9uHtEaK5vl+tngEub2JD8P3LhIk5vR1F9OumMGr8I+5aFgNNVwAMfUKt9riU1+iZZFtnYudmg5fIUikn6odbWoEa5TSx0LmcG3wn9Lk2tdSx6HH2X\/vKCdQCUFEC4z50RIIfuctBdoHQVlmVHqZB5hDZIRuskE3+R8eDpXIvCCIwJNiNSiZIhAsLC5Ya1oc0MzUvJSsuxaDe\/FI5tPavPGh+RcjDaBFT4E9wa4nm96s+9CMCSImCzvYqdb0Gh1awO46PlR8NB5HxuveWdW3IKRzfgI1ynQ4CNdedt5aMKySTGBKU1YoS5d7EiTgk8OcnRxF27iH5WReG29N7l1Pi\/9ElzUPsAN4SXhHgnNxJarrLmFGXeSClBsWvoWTDf38xgFVGxVloJBvUaeRhR67DG1e0PCD7JGqkwdzZSlHqUMfpVxpZgMGCj8I0YV5JOeKGr\/Y1\/DbzMn86FvA6QgD\/wi38Eur+x+vkZfm4N4Gn47veSrpJgQpZBVzVFVrIcbksVxntCzdVkqVqAM5ckEIewkCWaBNj14kP1CEVd6nWguNfXe6\/1ZYj6FhW3Ow+\/TGwaTWKrAHYvqdgw0RCcalsEKyzrus6eEJGTKlaF3J9puxQ9hjrN8pK5Ai752u0Dp\/3KSQ4VEvF9jDszmuDbTsKC5M8F1Oh+rOfHRyI467HI4iVfwDPRz5pwCKqoKYL2yQuWpRSKjfM1HS8MTJ32mYLsp4dfhx6kwMqjMo4QiVhxU5hI+HT9V0ZTnuum8NWFewCdhBn7d6dj4oOdpxY5Cg\/BTeJ7KPs8McuqHcX0xFx7hLkHZgSn5a1YgTiUSxBAepR+RiaTkWu2iizp3YWrX5Ch2MZjQpgYF\/Dp+B0UHIZmcM1L4NfxG6vr\/X5+HCP+M3ykYSZs1\/GPoE4KMcl4lZUlOjpkUmAG3B++gZxSUqJJkZeYIKIREApyJxJECm4xwAoMwahXyWMQc0ROoQk6cwT\/An+5IVzjiJ\/BZ\/GznQ8xUY8iLmKOPKYLnhkRKCs0yRupupRVpUsfgZfxSB8wRYygc4pc6FxBmuO7qbnBw4tFPdrxDGLM\/60w6Hkj47jyiRAjGUp+NYkW2YQh3SDUvO9HCKtwxd5vVkV233bqx1t7NnYtuuUxr68BZCBEsh++mP04xC5RQ15fgU\/hdxFXk9DoYGqM98Q9MmHLiuU7K0ywixfrkdFnGRCGkbKsYEolPqCEZsxqp8BVSFqox\/LP4yxUuc2O6ZKxJVnehczZkr2NcZ8dCCtrnAgB3MUvPA2QWTwcSlMcKvp1+r2QlI4wndqJW8tEKl4Ji8CH2e\/REU98ECr+Pv0H5Boc\/w09SDpSy1H+JwlX8u5RpDvv40xQCGvQibcK3s39MqUk+eNqFO8nFpCkkny0NKYcErTCF9Y7EJOFT+PuQSuzXp+gml7FQr+0MjaRlDtbBQDt4roY\/gw\/TrIpKMAYY66pPd8iZdV+UhMOT8Gl64qw1oC3hGP6IlpmHfkCPqSI8DU25pvAf8A+En43hOv6SIKE8Zkd5LQ7AsLY0TMvITM9Vh5i44UCygE\/gQIak58XLxSHdR\/hJ+t+hmZCNAfwxfSOSUeCEe+IRmMcwsEVAC3MRWegXoFDiyarDwKPWfuayZwVcwndgSGn\/RHmKKz87ORBG4ZMkCREofIY4MSMMvkwOhE3eB8DX7CiXnMHzpJCORrTI4BrpRFsulQf6mh17EvbJvjA8MpcC19Qx\/tpI5oECiyhhSa6IRrY5oiOJxoyvjVie+D3wI\/QdIkBM2YVwksc1dCmbya3tWFgZi4CpyIpxhCxPRNRMkL7eQxFprpAH6TFlAR+n\/xAdcyc\/LR4zg\/emXw1K8UQ8gw+mXw7ocqCJwg+k7w\/El\/Aj6TuDMGCTz0uXeEpBZIgUfiqNAvESfilxD6xX16yCshvfEvA76Wl3tIUyqbagnMM4H7me5VRFRiRcwTcVgaHygpymw3JvAMdoCvQyK6PSSHOLBB0mbLNT+\/lumFZgyHcrK1vhk1WyCioQohAzpfAJ+j9Lwr8VPkl\/TwJzRciBEQ6spZERFUpEdnJbjJVVWCgn54XGrvKCFr1UUOWKPKCSZIa5ZkyWmE+YX9Gjw1Gvr8ZRFYzyEkSWvsx7QebyJE4Fd5L\/mqRNJ0z4f0q40hhbruJcp6rO0t333rl3Zt6897xhAzYYsTiELYGINeBYcWIlIBFWG0gQcRBZ2AVYFvwBoWAgCCkgEgU5OEgsMjIBAsImJAICgQiDY2EcA\/bjbTNzZ+7t7tNnqRP1+Fd9ur9a3bpV9X1VX6X0K\/ahK9DoOem4TU05hg7hm\/hemzYtfB0HZ6lZnLhEz7XmqYM76TY7TixZ40Km1UWEBv5cXpVKzYh6aqxGuF9dqxHH+HuaFMED6g81qKzwCKmI8At1jVYF4f34TGPCJnwIn2qc18vZIa\/disUN7jzlQUrGcyJRxqeO+WL4LH5eZ58Esg+D5NjmA38gS+xTUoMcnIvrACAq5RALSB\/WqqtWJYR1TIOGa9SfWaccT5ozM4Tr1Fvtrmf4I\/V2G3QGYQOvVW+xKWcVcg+rluAZfJ92vVku4IX8LU2DTSrbKU20c1hH8ljMGX0frSjDL6mdw3\/yDTpNo40lK8mZM\/jzSQSTpBghDwkugCfjt+2KW1drpxS2lGUorSq1m0ce5GjOjoJkUM3HmYq1QNaCgXfil6w3Ejt7D3d6Ct8u16GYiNpZZYyhyWj7MGm0J9odeET5hrKFsSrzfgMXUqkqTA5smlYN8Lg6mzZ+odcw2AM4zNnCk+DVaJDELFmMh\/634Sf80kZN+oWqUCNWiTlOwQkNCFNb87yi0mSLLARkNRVL9UIvSKvkAqayokNuF6e1wgUTTxDsBKeUkeiEuhAJEwLUNEfWhhVWapYVsFzMYPg2mw\/VaQkEj+f3BKTSEVzFfx1wKAPDVfzqgCtepbMIT+H1oH7xKLgJP2o7HWDgVXN++tPJuTLQoNpJIaUTDWqv+\/UsugRDH3NWMnSZOOqAZWGmgr6PuCrrPhDBBt8IZQ+Hx8JX+I1VOtWdM\/sUdDRn1d7+g3Hl+9L2B\/nM0IPvD0qIKXnoUy5dOJRaKEvuIuXx0sQQaSi+yg6OVTMxSR591K30VYtBR0lrOZ85SzzsumF1GPw6SlT79cFkUIH9Zqa4vf\/ospM4wkHlYwz+fLq7\/4n6rrQ5bcCxMkUabOCCxEpnlQxY4mIVOouN03BLuRCNamS6f2F28N1i0Mhx2PA1mcLR7l4G3+MfdtTlFs7pPV3q7zl2YnztMehCg8mUcE979wCurDeufrCKvIw\/M3sUbNRImgAzwqv0e1u9pqNovK4RXqvf1pblw9H6k3BVeTBobEQ1rOzUGWUsU1VJjcagdojOamDTNBMyjsjMam0IbqI\/6SVh1nAz\/UGvos0Lo6WGx4AJxbCbuosnXB6la1O5Y+jg0\/Cs4KDK1X4DJDPSQoD8LstRn63g32UVNgYnFqehQaa5aKzhevxLU6r1TsZigy4WtdhyJcNp+E13SAO3jTnC0fQlcjSp0vA6tW9d4xvtUJ2AG9XMaZbpuo4mK196FXS2GTIPIhT0svQUJOEewDDE7FMheAHyQKQ0wovQDmMmvBrNQPico1ivGGiPYh1VIlBiVaUbZ1OjaqEj\/kfA2qJ1E2Y9pTJ+CcWAUoRyBZP9CY+Kju2sVMhGkxWeWE2qaXkwohXmJm\/eZ5I5sMkWa5Ul1sxJBQ4EX6CPekOgEe6gT\/lCJ+CVdK2PEzUb5qebtTqssxM19olBC6MuhrfGXFe0b3AqE10VbeAd9FifaoHCqJJp4FZ6YT\/qZ9qisZWeBa22hGTC8GXa9lmJbZngTvpiT5fJtoaL8y2N5SZiJ4ngifndDa5LPAlX5Tc0tF9iKhCrrj6whdcpVYmT8hK4kyQQkw7YBukhh0CS52DwEpfKoJKkoELIe4xWw2RLtHXD3GqeEUz5HYAZ2gra9MWQ57DIk3UddtqNbJM+CVfCzYG3yoS4cN2A9u6c8VBilyNEDhtUpwUtpD44ERad3p1nlqqGy\/PbQ0sRShX10manq+gGi\/Aa+vEw9l+vg3dDyB7wCLVAcCPcDHFQazxCQ9LwJngvRBVzryOcgC\/DlcXSIrEtRtfWIGuF2rmNGk0zw4mxk0unlS3IKIiqONvAf8ArwZdIxfiNUrduwHO5xf3A8DT12YJFk9lAeK76WkGF8Hz1b0VrgqvVnSVDCosjpMldKtu7k84J+3I4bU0\/PeDCy83VdsJYTsJvqQ\/ghLTRDbNRhptxH73ojH59KClJ10qgYRq2M2kNHLlszzfgAfURPFZM4GK1htJhXKyqrgYtDdVmrip4Bt5mvY2lxAMTYS+kgHEb5nxvhyQExhBZ2WkiKe3w2HSrNHGCm8nJTFR27dzAI\/j9vd8GQj2b48423IAftH7W6aRXzUP13bCvh8OVyTErIZFWJYopKE85TuEmvML2Jlk2yskjE2TCOlmZFPa6hpN8q5HTlJuCI29Yl5UeeO8K+B7fpGEqGnfkMpjGy8MMXLRgky5mXR3Ra0KOFqpoMijtp6XKetDiPI\/emd53OcR4EEvkAnTUW1Cjtk4eIex00Ycu1A+YnqRyyFQUjvoSZoaxumLSCsPGxBQ3xQXBU\/XztGxy9TAiV7YQnq5fOZ7+gF\/R9UqstqbUQ3MOvC3U6ozn9dj39k3FsAmGXjqolErb8ljaYgoUxoZexRSzSj4qXCfZgSvpzkEPo3v0MEaffc4ZIKYskBIkHcqSW51UlByVeH1UE9WeOY0PUo\/wySzKdifgtryv6oNqyBLblFxrs0pVgDh0R3Q7yOA9nqNVJRwkh5xDA1\/Lv4vj5CVJWQcPMUvqeF3iRfAkaGJqzXlKXGwAnxPG+ZoPnGyomSWobK3qiZ2XKlmyDIrFsOYtMyX4HFweS2NrgjvgMTFBEoK74Amxy5IJvg2PjF4Ga+FmeU0y0RWKkDiWjPAheU7CyHCLPC6liEkiwSvy9TFOxgz+hnx19E2cPozyRlc1cH\/+i5hCr4Z4IGF4SPZXwS9LZysg+Xo8m70vwUfsYzD3l97AE+T7MaVeSlY81QTPlp9H33aB4PWjJJf3PcH7ZJZi8OlS+KXcHsswHA5D6x5+yNiHlKAPvl8XH7INKuT2cGnPpo6zrN2ZqsuxD7hqe+l8hm24nt\/cFTKzvMM7hRIKqy1TazTZ8QZgzaUwV3LMHrfwMb6k58ZUZSML1Iouh3v5n7h0qo1e1uhNck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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-n28t8mxv.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n28t8mxv.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n28t8mxv.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n28t8mxv.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n28t8mxv.nxe :where(ul,ol){padding-left:20px}#nxe-n28t8mxv.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n28t8mxv.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n28t8mxv.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n28t8mxv.nxe svg{display:none}#nxe-n28t8mxv.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n28t8mxv.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n28t8mxv.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=\"dossier\" 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-projections<\/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 projections<\/h1><p class=\"nx-tagline\">Climate projections describe how the climate may change under different futures of emissions and land use. They come from ensembles of global models, often downscaled to regions, and are increasingly reported by global warming level. This page sets out how projections are made, what their uncertainty contains, and how they serve planners who must make long-lived decisions about infrastructure, water and land.<\/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-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Dossier<\/strong><\/span><span class=\"nx-eyebrow\">G-P02 \u00b7 topic<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">Definition and scope<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">4 mechanisms<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">H3 field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">6<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Pipeline<\/span><span class=\"nx-register-v\">Run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">5<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">08<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">09<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">5<\/span><\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 In development \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Climate signals in World<\/a><a href=\"#nx-s-4-sec\"><span>03<\/span>Multi-hazard outlook, in outline<\/a><a href=\"#nx-sec-question\"><span>04<\/span>Climate projections: how the risk\u2026<\/a><a href=\"#nx-sec-terms\"><span>05<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>06<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>07<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>08<\/span>Where the evidence comes from<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"climate\" data-variant=\"stack\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Climate projections are simulations of how the climate may change under stated scenarios of emissions and land use. They come from model ensembles such as CMIP6, often downscaled and reported by global warming level. Their uncertainty combines scenario choice, model differences and natural variability, so they inform plans without predicting one future.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" 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\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Climate signals in World.<\/h2><p class=\"nx-lede\">For climate projections, in GCRI's spatial-intelligence reading, the map opens on daytime surface heat, rain and true-colour imagery with a past-year temperature chart at the centre, framed on World; 3 further NASA layers wait in the 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=\"world:climate\" data-ml-src=\"climate\" data-ml-plan=\"p-de407ea6\" 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=\"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=\"true||||\" aria-pressed=\"false\">True colour<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"cover||||\" aria-pressed=\"false\">Land cover<\/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=\"lstd\" aria-pressed=\"true\" data-wm-z=\"20\" 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=\"21\" 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=\"true\" aria-pressed=\"true\" data-wm-z=\"22\" 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=\"false\" data-wm-z=\"23\" 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=\"ssta\" aria-pressed=\"false\" data-wm-z=\"24\" 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=\"flood\" aria-pressed=\"false\" data-wm-z=\"25\" 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><\/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 projections, in GCRI's spatial-intelligence reading, the map opens on daytime surface heat, rain and true-colour imagery 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.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.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-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>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>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>Sea surface temperature anomaly: GHRSST MUR25, NASA JPL PO.DAAC \u00b7 <span data-wm-date=\"ssta\">12 Oct 2026<\/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><\/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-projections\/#map\" data-nxf-title=\"Climate and Hazards live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-s-4-sec\" 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\">Console<\/span><\/div><h2 id=\"nx-s-4\" 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 projections.<\/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=\"systemic\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Climate projections: how the risk develops.<\/h2><p class=\"nx-lede\">Scenario models, ensembles and uncertainty. 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\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><polygon points=\"16.24 7.76 14.12 14.12 7.76 16.24 9.88 9.88 16.24 7.76\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Scenarios set the forcing<\/h3><p class=\"nx-p nx-mt-1\">Shared Socioeconomic Pathways combine emissions and socioeconomic storylines. Projections are conditional on them; they are not forecasts of which future will happen.<\/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\">Models differ in sensitivity<\/h3><p class=\"nx-p nx-mt-1\">Climate models differ in how much they warm for the same forcing and in regional patterns of rainfall. Ensembles sample this spread, and some models run hotter than assessed evidence supports.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M22 12h-2.48a2 2 0 0 0-1.93 1.46l-2.35 8.36a.25.25 0 0 1-.48 0L9.24 2.18a.25.25 0 0 0-.48 0l-2.35 8.36A2 2 0 0 1 4.49 12H2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Natural variability blurs the signal<\/h3><p class=\"nx-p nx-mt-1\">Year-to-year and decade-to-decade variability can mask or exaggerate the forced trend, especially for rainfall and at small scales. Over the next decades it is a large share of uncertainty.<\/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\">Downscaling adds detail and assumption<\/h3><p class=\"nx-p nx-mt-1\">Regional models and statistical methods add local detail. They inherit errors from the driving model and add their own, so downscaled precision is not the same as accuracy.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Shared Socioeconomic Pathways<\/td><td data-label=\"Definition\">Scenarios of societal development used with emissions assumptions to drive climate projections.<\/td><\/tr><tr><td data-label=\"Term\">Downscaling<\/td><td data-label=\"Definition\">Deriving local climate information from coarser global model output by regional models or statistics.<\/td><\/tr><tr><td data-label=\"Term\">Equilibrium climate sensitivity<\/td><td data-label=\"Definition\">The long-term global warming from a doubling of atmospheric carbon dioxide.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Indicators<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Change in annual mean temperature<\/td><td data-label=\"Unit\">degrees Celsius at a stated warming level<\/td><td data-label=\"Cadence\">per ensemble release<\/td><td data-label=\"Source type\">CMIP6 and regional ensembles<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Change in heavy precipitation<\/td><td data-label=\"Unit\">percent change in annual maximum daily rainfall<\/td><td data-label=\"Cadence\">per ensemble release<\/td><td data-label=\"Source type\">Model ensembles<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Change in hot days<\/td><td data-label=\"Unit\">days above a threshold per year<\/td><td data-label=\"Cadence\">per ensemble release<\/td><td data-label=\"Source type\">Model ensembles<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Ensemble spread<\/td><td data-label=\"Unit\">range across models<\/td><td data-label=\"Cadence\">per ensemble release<\/td><td data-label=\"Source type\">Ensemble statistics<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Model agreement on sign of change<\/td><td data-label=\"Unit\">percent of models<\/td><td data-label=\"Cadence\">per ensemble release<\/td><td data-label=\"Source type\">Ensemble statistics<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Bias against observations<\/td><td data-label=\"Unit\">difference over reference period<\/td><td data-label=\"Cadence\">per model<\/td><td data-label=\"Source type\">Model evaluation<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/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-projections\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Climate projections 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-projections-ipcc-ris-t nx-dag-g-p02-topics-climate-projections-ipcc-ris-d\" data-nx-z=\"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\"><title id=\"nx-dag-g-p02-topics-climate-projections-ipcc-ris-t\">Climate projections: risk as hazard, exposure and vulnerability<\/title><desc id=\"nx-dag-g-p02-topics-climate-projections-ipcc-ris-d\">Risk arises from the interaction of hazard, exposure and vulnerability (sensitivity and adaptive capacity); responses act on each driver and leave a residual risk that is monitored. 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=\"systemic\" 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\">Sources<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">CMIP6 archive via the Earth System Grid Federation<\/td><td data-label=\"What it gives\">Global climate model output for standard experiments<\/td><td data-label=\"Licence class\">Open, CC BY 4.0 for most models (to check per model)<\/td><\/tr><tr><td data-label=\"Source\">CORDEX regional climate downscaling<\/td><td data-label=\"What it gives\">Regional model ensembles for defined domains<\/td><td data-label=\"Licence class\">Open, terms per domain and model (to check)<\/td><\/tr><tr><td data-label=\"Source\">IPCC WGI Interactive Atlas<\/td><td data-label=\"What it gives\">Regional projections and observations by warming level and scenario<\/td><td data-label=\"Licence class\">Public, CC BY 4.0<\/td><\/tr><tr><td data-label=\"Source\">NASA NEX-GDDP-CMIP6<\/td><td data-label=\"What it gives\">Statistically downscaled daily projections<\/td><td data-label=\"Licence class\">Open, NASA data policy<\/td><\/tr><tr><td data-label=\"Source\">Copernicus Climate Data Store projections<\/td><td data-label=\"What it gives\">Global and regional projections with documentation<\/td><td data-label=\"Licence class\">Free and open with attribution, Copernicus licence (to check current terms)<\/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-projections\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Climate and 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\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Infrastructure owners and design standards bodies<\/td><td data-label=\"The question\">Which climate change allowances to build into long-lived assets<\/td><td data-label=\"Evidence this page serves\">Projections by warming level with spread and agreement<\/td><\/tr><tr><td data-label=\"Who decides\">Water resources planners<\/td><td data-label=\"The question\">How to plan supply and storage for a range of futures<\/td><td data-label=\"Evidence this page serves\">Projected changes in rainfall, evaporation and extremes<\/td><\/tr><tr><td data-label=\"Who decides\">National adaptation planning teams<\/td><td data-label=\"The question\">Which climate futures to plan against<\/td><td data-label=\"Evidence this page serves\">Projection summaries and limitation statements<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Projection summaries by global warming level, with ensemble spread<\/li><li>Guidance on selecting models and downscaled products for a region<\/li><li>Bias evaluation notes against local observations<\/li><li>Scenario limitation statements for planners<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" 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\">Core questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">What experts ask.<\/h2><p class=\"nx-lede\">Projection questions are about what could happen, and how far to trust it.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Which scenarios are being used, and what do they assume about emissions and society?<\/li><li>How much do models agree, and where do they disagree?<\/li><li>Which part of the uncertainty comes from scenarios, from model differences and from natural variability?<\/li><li>At what spatial scale can projections be trusted, and how were they downscaled?<\/li><li>How should low-likelihood, high-impact outcomes be handled?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"climate\" data-variant=\"stack\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Mechanisms and drivers.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Global climate models solve equations for the flow of energy, water and momentum on a grid, with processes too small to resolve, such as clouds, represented by approximations. Different models make different approximations, which is one reason they disagree. Scenarios describe possible futures for emissions and land use; they are not forecasts and carry no probability on their own.<\/p><p class=\"nx-p\">Uncertainty has three main sources: the scenario, the model and internal variability, which is the chaotic year-to-year fluctuation of the climate. Over the next few decades internal variability and model differences dominate many regional projections; later in the century the scenario matters most. Downscaling to local scales adds detail but also adds its own assumptions.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and data<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">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\">Multi-model ensembles<\/td><td data-label=\"What it shows\">The range of projections across models<\/td><td data-label=\"Limits\">Models share some biases, so spread may understate uncertainty<\/td><\/tr><tr><td data-label=\"Method or data\">Large single-model ensembles<\/td><td data-label=\"What it shows\">The role of internal variability<\/td><td data-label=\"Limits\">Reflect one model's physics<\/td><\/tr><tr><td data-label=\"Method or data\">Statistical and dynamical downscaling<\/td><td data-label=\"What it shows\">Regional and local detail<\/td><td data-label=\"Limits\">Add uncertainty and depend on the driving model<\/td><\/tr><tr><td data-label=\"Method or data\">Bias adjustment<\/td><td data-label=\"What it shows\">Projections aligned with observed statistics<\/td><td data-label=\"Limits\">Can distort physical relationships between variables<\/td><\/tr><tr><td data-label=\"Method or data\">Emulators and storylines<\/td><td data-label=\"What it shows\">Rapid exploration and coherent narratives<\/td><td data-label=\"Limits\">Simplify the underlying physics<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"climate\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/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\/computing\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/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><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/spatial-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/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\/forecasting\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Forecasting and time-series analysis<\/span><span class=\"nx-mledger-role\">Ensemble forecast interpretation \u00b7 Seasonal outlook use \u00b7 Forecast verification<\/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\/forecasting\/\" aria-label=\"Forecasting and time-series analysis: 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\/extreme-value\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">05<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Extreme value theory and tail risk<\/span><span class=\"nx-mledger-role\">Return level estimation \u00b7 Non-stationary extremes \u00b7 Regional frequency analysis<\/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\/extreme-value\/\" aria-label=\"Extreme value theory and tail risk: 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\">Projections depend on scenarios and models; they are not predictions. Model spread does not capture every uncertainty. Rainfall projections often disagree even on the sign of change regionally. Downscaled outputs carry the driving model's errors and add method-specific artefacts. Climate and Hazards summarises and evaluates projections; it does not choose planning scenarios for any authority.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" aria-labelledby=\"nx-s-15\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connected<\/span><\/div><h2 id=\"nx-s-15\" class=\"nx-section-title\">Where this page leads across the Consortium.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/topics\/scenario-analysis\/\" target=\"_blank\" rel=\"noopener\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Related topic<\/span><span class=\"nx-dest-host\">GRA<\/span><\/span><span class=\"nx-dest-title\">Scenario analysis<\/span><span class=\"nx-dest-why\">Climate scenarios are translated to financial contexts with separate assumptions.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><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><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-16-sec\" class=\"nx-section\" data-hue=\"climate\" aria-labelledby=\"nx-s-16\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">15<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-16\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What is a global warming level?<\/summary><div class=\"nx-answer\">A level of global mean surface warming relative to pre-industrial, such as one and a half or two degrees, used to report regional changes independently of when that level is reached.<\/div><\/details><details><summary>What is the difference between a projection and a forecast?<\/summary><div class=\"nx-answer\">A forecast predicts what will happen from current conditions. A projection describes what would happen under a stated scenario of future emissions and land use.<\/div><\/details><details><summary>Should I use downscaled projections?<\/summary><div class=\"nx-answer\">They add local detail useful for planning, but they inherit and add errors. Using several models and methods, and checking against observations, shows whether the detail is reliable.<\/div><\/details><details><summary>Is a scenario a prediction?<\/summary><div class=\"nx-answer\">No. A scenario is a coherent assumption about the future used to explore consequences. Projections under a scenario show what could happen if that assumption held.<\/div><\/details><details><summary>Why not just use the average of all models?<\/summary><div class=\"nx-answer\">The average hides the range of plausible outcomes, including those that matter most for risk. Good practice reports the spread and explains why models differ.<\/div><\/details><details><summary>Can projections be used at the scale of a single site?<\/summary><div class=\"nx-answer\">With caution. Local detail requires downscaling, which adds uncertainty. Site decisions should rely on qualified analysis that states its methods and limits.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-17\" 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\/climate-baselines\/\">Climate baselines <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\/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\/\">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-18\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Climate and Hazards<\/span><h2 id=\"nx-close-18\" 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%20projections\">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-projections\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/climate-hazards\/topics\/climate-projections\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is a global warming level?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"A level of global mean surface warming relative to pre-industrial, such as one and a half or two degrees, used to report regional changes independently of when that level is reached.\"}},{\"@type\":\"Question\",\"name\":\"What is the difference between a projection and a forecast?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"A forecast predicts what will happen from current conditions. 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