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\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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-mount\" 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uE5ZksBibGyZAW51U154m0NmgC1v49uMA4lGgERzgMQjQGJtINdsVcG4+XRtX7ylWZ7TmL0qvvx0ba0s7VfSIGbl50nZpBnMEx4Aa9gs0f168x3dX5l7JbwLKGAuGU13PBw60hk\/dMgbfSzHdHcG6k7Rpxp\/6L72jvH2t65zht1UIH6W9NrKGo\/FEfrq9niQRn1bipsDmbni1otf3aHPhcvMbC7NmwDyZVY8W8rdMfW1Lf16Upbvv3ek3ytvgsm3SC69TcmtSgjIE\/M26Vk9LyCEQH71TVOIQdYQZsmhVMcQnUpNdUUaGhW+LZwhf+pjY3E6go900I+zv7xJxKrBP6TtrAHxc9fZCsena93cjoOoeBdT1p3ogb5s42NIRscgdG\/OB058dRgVzVQ7ningiB4WoGmqj\/iDHEQw3xykLrv9BOxHesCY2uGUvjKcckwPR06HiHHSbkTj6jC64m0jAbnQQNH\/6jF31tQAV+D2WJVZxKGtwqE8b4LOuEduhnX4OgMHXcIXo\/FL7ZpULYMb3QCX28L4QnwTzMcQ0ixuPKzt5LKdKhxDTw79qm1NenExQYVTHqc3LgRRw3uI\/mL3Sf0N5WWi5+LS2aJmBRQ5EoOPSM56JqB524b4u8zcOGN0iPwmbu\/FOIg\/DWbYE5xNx9WFZ3z9WanYZsMAaJVaaXqb6xaL+\/gyboJjMsyw1jVz5g097kpLQLrP5Ke3ubQD2luzwnfk13uEWd2IsURP\/wW3b8n\/U\/mz9IKM9JJjEdgkwRX1B9ubTr6s\/h2tufJ5DMSI77EsAnzCAVu\/P9bXR69LSY\/+jBk6et3YMj1hFKirB9SaA7TLzqIj0cGzyHz1e2KP+Z3WMT8Gq8sIMe3uPgYBBfNOzhlh0\/RGdTkm4uh0hQpTJc3b1PZYSNtj0UWa8qru6zKD5UXb9HkBdQPzJZAuI4ZKSBkqpUZLBcRoBGK0VRofNVCocKQbPDG3k2Bk7psynP3pGX7HB1a9wl+9QJDf0qo83wZj44GSXfCvCPT\/+uhf3jY\/mnJ40TpwCdV+cOAv17yGN\/PDjXoPp9L7aFHGTeuHJ33lk89YQB3vB4q4moLFDSGpwCuZX2sMS0B96lI9WGg6knaTh4JO2Jv8XcN2f2iYwD5djRyFUYMCXYQTpalF0MryTdFNF3GVc72yBxyj9H\/hChmlcLrGob2sMhzY2gaHCraXIeDRR6F9Y7aXIZ0Z5QfujAeP4NBGQoZxmdefn+ynr7cRL+4KXiBoPtpbxp17wpN4JrADecHAcqpi3JQUwElPJHvkRDIg7jDRVRHRq6ql2fnB+NJ0yeD6hQlMRbY2wZU6CKZzu81Kraa3QK7eavNSWZv9KZjMKSN8g3NoqJBsmUh3GcPyRVs1l24VRbIQNrR87yuWY4gan0n9mOw9fzKhoN4wRqliugfJWqqMkMKusiVuHK436ZqjFsEuOXyTaDxcYuDRDMKP1ICWpQfWVHfIPH+atkN193OUHXp+j9J1aJiPUnUomHM0HXu+qkP1JGFggq5jH+bpLhT44UxjcjJr6y4jYAWNyJ8a0xkUVXmBkv385\/bJQzfsv8DmHyqQFfW77Nh+Mos2rSvZQnP6W7JrZXzCmzVJ3Z07SUYcXN3dOxPu+9oq2L4W7GHPnLXk4jb2lnI5FrBsIy+D+zfwDKoGSDb4v+XXevUv5PGsbP5\/B2dzP6ufdjyzPf6cE5qb5aMOaQ6sO\/PIYD9\/j02Gw9RlIiZufxCVdhc4BOrqv2Gn2e1UH5rm+LnUThCEqiCg7CJdrQKcbodcpkGAY0Bq2DRZcazD1VP8YllP26e6Ntv\/c54eUptBa2mk205+49fieXPQ4pOusDXNT\/tAf0ySjfmIYUk5hjsDVc7jxjK5v5mOXc3zaRbU6et+76An3fpzutWXmi2JMOfND0kZG8iyuwsawgw5COGIdzTR70j\/kiSYsxTsjf9W+7u0zLPyJp+kXu9zeox0HPTIh2hVs8tXmaf378RjJly5tGeK7Zt0qgqcQMt8WLqju5IOzEsla8vObDEXvHlo88cY8AUWTT3qqsTg86\/Ei\/HrlL+hJG\/SKGi8Tl1SmxPML7PTV7fJb5KyaWAylr3a6RJbi\/mbF9ZNoByveiTVl+9fBUfGHhd1k8XP39vMSwMhOoyznKT8jypwgsmo8Cg3zbGpfWFtvHP8AcVouK6lH+74zQTj4\/ZXZHw02qTbvU+JegvRtZKyoobNylwZFk5kKnjJ8ePSHNaMGjtdT3yRHUftKkSW4jVL4FfG8qy40uG\/U7nnfMVpjzqmofBcTMAR3d8hSlSGKuAbOeaicnH0woG6YARVhWjOXbnq8RVlAkktnbHABo3vsxi53gnfdzvuwdEYdM8kLneITBD74mMxuT4+2V0LGkmMdiPmHXTr30p0P4qbNYaELmq58em7H7SALmXVzEEo7cArTHC6K3K5LA+zEDtTx1+0YGFyhOTiW7U4bB\/DmAMJKTur\/chSUbtnrx7VOUMX6Bf86xmv0PwwDRFUv+zzIlVGACVlAZeErnTgzsZLBhehXYJ0ezVBPk1uRKBajEXy+YOmzgJbvCDcmGCc1ZnA3+CMkMMObmREIDl2g5r2FaW5SlS+qcIF35PHNuD4\/lFvXId42RdTVU9Mqjmwso+cperRnbQ76QwmE4iNHiRo\/bXZpzcXugQ997F\/aRf3o6TbjGq0zFg6OOxHhfgwdrLSJ0+gcR5iliQRBiTnH+WTNg23QHjVpg5XKic66n6IT+DSDYm\/lnHkBWy0wJAKeLvrWJuYblY8G2UxEoCqItleEzyXSJ392gENi7L52KUH+LrpaU8cGzPewdfwnp7QVtneB+CV8vAcR13\/lXJ+rBcj8rFcSX0Yo7I5zeiLbIN3AC5H38irr9wIiJPsyvHvGEMXZgkvn5+sp69DD0YCsWnBPNdz4dgyODjj61xIjgyS7S6A5MogYczNheTJILnBAki+DBKmqLmQdjJIuyUYD2SQgiUY38sg7Zdg3DKlBGUuwblljRDnElhyQneW4N2SkrrlLsG8JSV2y9PFPS9kzfQPt3a41ZnvIH7vkUesAotOE\/IpO0nUtLKIuzsJUelmnBVpVmQNFBI1VTC5xjBpx4us7+hvmV\/vHyRs\/w9dZLv8GcmoTifTxoIlPWgc6zCCxqQ8g6zgU9klqlR2iXYqO7qLr5RrsVi\/YTqtjxyWbl0FbF4mmeLRjT+VUsjhboLUYUcJHXaU8GmgFBLl2PD5hPjK0WteD8n7Im7aOndA4vd04qo7kKWFFz4wrP07LJoTKU3z0dnwFwvJSClCETqJXqZvcGxV8cjsDI5wPlH4JltYdVyeFsamHXqsP+dRlZAe82i0\/gs06rxstLKZ9G93PDpFyToaVJwHggQlQpfn4BjqLc+KQp7IMsgVzjEVKQkmhi1hM\/+KzkFk+Vz9n\/+9+q\/w7Vqv\/gkNpfr+dBhLmhK0FaDuz2mhLPz4qAvHSbSsMhK4zs1XrDimSmuAFFtSEk2vnC71BbWjmctaDcvOtyu8wkRi12GvAJz5oJBti7LT7MZ26LECKFHF5yfQ5KDuXPFoW1K4Tm30c5BcLKEU7ejnwC1\/uA4A+jnIFpokcERJMrt\/Uaq2zUFhwJV9YvndJ\/1eC9fmDv0ceEtxuDZj9IMfAON4RYQe2sG4fw2Pl9G8mxyuLPyPHFdOgn5EXOExmwpcmVv8o4el7mUpflKAfiT4SV30c1d2TyXKqBSf\/39hTHtj8eXrdQPqeUBcMB3lqGTZgcnVp3b1KVz0VptfzXBWX5RXKXMA22xiICuIT\/RR5WpUxP5kumOu2bOG2Ln\/MdnB+MRFJjs+nC1B9F3kXBQX+yhKx8k6wzKj5Q56nOl1CnuWJ\/dHDWaiD7txCqNR4c4TM5ZJsDdvr7A5oaxAh5wn3G\/l\/bi3iako\/OGlEC+TTMOetx6SpFeuKthGznvorFOMa+GsUsjTPTBZphTMaBbsToksX8VdrTmjhZtUlnfZZMspzoKHHH5p3cLxWeZP58PqPE49bpaOHm9XBieOTBatYM1ydjQgRX59FUWg1LeMIsWUj0Pa806cLa\/kaOdDRC7Sc1KSTZxyQ\/y4j5NmrszZIHrdjy6+qb6InYRIrD50wuTg0GdWoCmT\/IXX0HBM9HubJ9CwzbkribrWC9qXFXc3+eLudQOq5s4BfEmyF6bqMHVCqWxbavAdm5zOLDp\/sIMVyt7ceKdU90GdlEX+vUWI0EUwswtNr2G8yMjBnt7eA+pEv2Bz+ThW4CbyBmlw6vIevuCcm0JuzcPcioi6\/cn9nzU8nBM9j4RpEXRgdd5IqoxpGExyrLyZrsy4pBOW8sITqD9+oUVp5B28+k3I67FZUoEVkzWSvPvBdzaIzb3cjB7uXXyLmTdnAb\/1\/vqzN5wKrFAcAqsHS8Wh0ewr5oHKZmMuhvmFSOS09uLKUtYq5doFRkMVPJRNiiwOk6yT2i34Gu7upKhTY\/jyhxtb25r8R6xGKwznMQnEp8e3+m3Vj7Gtz05Z+ruK7e\/Rd6cb3iUHDJAufMl3vsbxLLiSKlwWXQsG\/yF4AHrz+5AlPBTvku49hMQszc5s9RbDWDWngaLRapF09xap2z6hU7hy+xiKVGWIfXmQ2fTwE2r4Vj98fOhrlPvSgM8IzDPyEbsz9fWqfK2RzWKYDpYrhiLis6ENYpMoAM4zz0hyUM+v5cYHh7aXvbMPcDpnNZ9o2l4ys\/E74LsMMEyyadE8MQ8WlWmdJ5Bps+LsrkYStM83ofWZR2\/3MG8hZ2FrXdjZd8cVv6vEoFNJXvP78fryS8yOoyXn6XyJprb9GKWSUKOZjjKfLUzeU9W+fWxER5ESumcqx44FI2IK0fMioQ41zmGmqoSWe1Oe0PUddcYpLdFJq83w1z6tNsuVQHlMuYdtr2gYpHeFc\/20dsXAsRfDGRBIKUab7f3g+NDmDTtia\/XHlWEdJh09NDGO+\/1Nri\/ePbGpDvSmStMEaLL4MM+IIZInkzdYMGq8Oyp73v9zcDocNSzlE8Qht0CMaGTsW9msN9m7WcfblLaWMqPzfSujYSkXiA3jIHi4jVtK1LTgHdyNaC4rt+ZUd\/PV+Een\/9ZzsaBEGHk6Ym33As6b4IeqcF2w3889a8cNNiZrrTF\/LDNQa\/se64sCMmdyduy+uwznnMih6WhOruo8cgFMdEDyFxkMvinuzDkTnudWwHgZjwlcoy9sNo8zQz9m6aSwv9BO3vS2l2CXINHw7OFSdMCnY3fZhLBlP1zha5938faZMw9NH\/\/uXhc7MeG57Yap7Vnr\/IiK+QAb1uQE8aXBhCu47j0T2l\/shdlyYpE5xz\/mXu3hY+0IQraIUkNszzCcZcYOlpMt0fi\/SMsILGWw6Gy8Y0zUvevjx0WtimgkXnbtSbt89JE87ZLi9KPdzsZ\/tHczVVfwXKj\/RhW0oSmICC149spgFeGUQP5Klzc6XAVr+8iUtdmOQ10OtE+hegb1c2t0nTr7aMvIlrhGn7O3j1mxqqtjJH9v5XhcFA4flnOgRrD6fzOEhR4uCvHn8V4u796FVLjigkr648+UlHPk0zku3QzdmTlCvtbEnuCAU9ZQ5X6gWE53I2J+QBb5Lf6FpLwc3iH9d5M0mGfDWiEeuCII2lK\/z7O840yi48IKziHYMqwF5ZEfGvUkCn53uS7jqXe3LhwpCjboKRHzsWqaVD\/Z\/j0cwNu\/P+HEfqz2d7fku1QFaq2HtNhAUzya7E\/TZJYjgWco7axk7Pyu2cmtL6Tg1js4T1JJVosSp1ntS7W9tYtVx1WZ5xGoaDcxcpVuYvfsdxhXGHaSVt\/7HWvHOnC+nrIGYtYN+0kjNNx3fc5QXg56wkOZHWhK3Nwxj5HuqLzHPeyswGcI5vpjFcFQkJ3RlMcjrRe3H+IMvJyT2H05q6fzJAij0k0PLXy4iq5NUxY3cLlAUKEkDy3Vku3KJEX2+NTcEucz1en9GOlBKTxw4oB96NJbt0kV9DGy+q1DzUwftonc1ZKuiFvxpYJ1DZPBrfixF8tjnc9InozfFHMnG+q6ll\/m6zIj334R9qJCajUHqbVP923facEQByDIyDg6YIEoqNvj9tEz0Dmnf7zPff+sO8kv+Hzobgp\/0m0v1yl3SfVjOm9Ae3CXKHE4x4oO\/VabTvjNgWL3rDpvZbtpF2TzbBNLwRzGDUy+vlvWUNJPdS3UXcitpo\/pj8pVPm70kQ5gZdtTth4+PUsrhFQghl8nEUkZAvmp+lNJrlAXWXHsM11RubNI75sb34sp9T6WzwCJKF\/nLZM4GyoRBypegg54PpUjqE+IyQypuIYcXGxdbVCfRutqm58ce7y09kSKZTJfEnN51z7mQIUnJOqhBygAczvrU4EF4BjOZYl1O9hlMdx7tAAX5boWwcmS9GrIKz0pk2xqX0VEoLKdgMk5tCikcKy8hnYQElEA2TdBBQGqMEbMTOS8fVo9oZcw4CfGmQTLEEg5J3\/ZjwnFlBz\/RD\/HQ0UjDFe4QXRi+tu1brL0OzoB0rb7+xX2KXGEGhZpmRoXLJJBV3nEcDjXIDIW9Ouj5zqisz3Wjighbr2YOikl9zSMSaal5aeBaq37bwlFkpDQ4Y\/Fd3PMBQJIMpAPlv04q+IcrkB7D3B5m75CEOz9n1Axd5yC8I94R5NtLbkM4zuHeZ5darjamR9WgfkBjSLwPqxs88O2vZP+RySZML3tzA\/s9dbDgFICgeepysJjxs4EAD5WVUCdkMc5+F5eGyHVIReyPNv5aqKD6Xhw89HakcyL7Qs9huI3azPfdwvDPsPmVCY1f8B1AbRjX+VI6qtuKMFJV\/NrzEhkLozPUXeNQpSWHsrMKUryzbIHLxWoeH8+vXbABsrMqDdkFPKwZNyWS+foaMNyJm6p+EJsSqG1m0pxI0OhBQHGO7RPBKJr3JOnQ8RpQSYNiG3Eg1Fcz7DK4nDVgAiVg0UN9cRMsHu9hPaRg5k6iplFCIqt0gjKU6Yq4m2Vjjdat\/5AZ\/7F\/ZKk6lz+5YlRV2WuDOYRMtfwpQy9iQ6Opdw4LiPkLuT9JxiMXaXFWHLHMTnNNgxwHOhwfB6o5\/hXtPf\/50cDiQnMsrafoDzTwsJueyDSx5PjJZF1uNgG3eUA1ZZk894uJjTE+jrVlts1W40vOc12at+pVdKJMR3L+0Z0LB89HkJb946qpVDK3kLRoQbL54aHaWfZmCiyE3aBc3nTwtPdVxS2NHnVRNegzhLIVdqUsbJOP+n9mvBNMdJLFToR01MMirKYyTuZbGToZi6Ym1hZvHh8f16sdv2RCicyDq15IG7bOS7mZHhhyD7Y6rzJEqpWDLAqulZhCvAdxT0SJTTriMk6kiyv9UwqCwMT0rmSZvecfEcRwZOvdUtl5DNJGgbXlXqAtCkaz1lTy+JJKNzu\/PjEJr8z8X9tW5FcHMGdFT9i9rEj5qFT4rpg5XlBI9AAosl9q6yGtVHOg8lVK0\/mTqcImx99QfVFLAhTastUos4x0bTPBLBIBJoCqnlCDu8vOB6X1xlZIFfQouJ2GUZJIZIFnGsqKUpX5wbEz8O1ApWHxfzxIJCr3xBcPnx5hBbqVDOjvTyUuk432znvUzfi3fey4M3RwaL0IKpM\/oMDtvlBCWR1Ac1pq3yDmFPV71Qwbm4vMG7KyoBpCmNS\/9qoY5Cj44bcZ6lHQlbxjFIgAJQInLplSp+NGoKN5vc5KBIRAGrlK1amz608xV9Am6O3srLObHlv9ozuPM3u4hLUTd+dpCxl+mzgd8QuAu0ZPUPZhJ6h7gJU2QusJgb5ChoRD9a8ytpiv+eJXlFEnK1bdpYH\/3tZ8IiJxRrtZsB1G4vX5uZQZ3NYnlmVN\/mxoVEIY5v1bVuKJjv3nmtC9XldAsooPEnWId7264HujEXnD\/8RZdf5USG03jUqW7JA3srVps3iKO6qC7igXcBj2vNE0kWDEsakS7pJ2fDUIZ+uODbdkvF8l5ccoBJlW030wGNWFtqvY+7RVYuQa7M1KGpW4ETiOIf\/rHi2u3CUIj4h2fWcJQm6rgZZ0RitHk5wIKLoBPKSx5AzpAJcyMVaVNw0Le3clJQld5V4bG+EsgbkWcyDJfx6FCyJGHg2zuCCBLEjW3psupx5nRrnciiD0Ppjjptc6tTIIagKTggaf5vkO52+G6hT43hFyutwIxOQ\/Jzqm6X2cNlMgDWeOUuUoCNjA4kRweYVwmLI3zfc0SH92F5yU6NTncTVj+nSoLV2yqvopg7DapnQOCBUFlN629mWypBcX\/KXnGrgRqOyEEaghmgzD2n5meXw5auRPhstzI268onsFkl6iYTtbvMxZxS3IdzjwNsnMTIxt+bsk50Vw6YSGti2wjw5CFh8wkLzwwPIVTJxe2rmXR7YkEt16EqMD\/IO+EIsUx3yxO6PEPvyW9A6NRpYnW9SqILt9VokEJuKV0nZII2f273ki\/6t3taOzrHORfIE8wu\/praKN6PxEavKjRuQwY8axCpBFQN6xL3BFJMqwAvHAfqrTSYlsa8FqjsOJ4uPuGKlkXngyVHeWqP1g05GrNZ3xqXMGWNLHsqR4ldmdhZ2BQLokh2u19NyAlNwzRs1ydXjcihxvbnxRKF0l+mEA0mtBu3Fx8Pq0rhODa9P98oQH+Ld0\/dgvF+0nCtOJ7eVDpzdy7rTeGcOQEaY5MuLFiA\/Q5+SCoKx+jVclw1vdTzcKSi1cBPq2JMLbRrprTmKF6qbTLtbTQvF7ToPx3SLOd1Re\/TxHKiO59ZInBp\/q9msQK10+SXPSGAFXRzk60br2quDjlSYz0\/w7QKrZgBP9In5cLCC89RXhk+Nt56\/LwfWMkpE29sF32Eju67SpYCD1J2qzOv7Z\/J8ySinyuI3Z\/MQmPXchIPMVUn6rOU9OjESUcnVd5ls\/8K1LrcOCmdkc15iSUQnMGF6jIS+W53APsgz69Jn5OByu6C3Vlujz8296l6np9wX1kT53O+s8+cndG32xAdBxaLxy\/EO6nLBczrFl26iQZkuV+Yt6aH1Ob4O2c\/k8+SqJx8YeenBHXdzvaMPFOF3pGGihq7TttZ1CrIcSi5\/CngctXA+fhQJRFf8snG8gqp41EDwRTBvJpTn2O+lg1xmQzHvNaA0ubZfNy7vJJGgLKYk7x4LAXs2T0GXJGa2jIGH19FmRdX76qEaUlVaqpq05SnrMm30uizg21BjjLbxa30NiyGTwFzrW5MbxW2W2cXmnUAGwYvVXDpBdan5Il+NGWYkDst8FeBp00+Tr+ozyPPbbKPTAhzHvMffgVa6JCEV0oQbaCAIwAlWWXPQsyDxmtq47eegtMLEgtnIaE5Z\/FzAmhh6FDYiNWreW3HLjZiPUd1qvH0qG7WphNnl97nu9PxR9K4Z8adCGdQnKyVhczCy1vObZTJ0hFKYXLMz9xNPvEsFm+b7yLgut8mC04E89MEfiweRj8pHpcy1R9XmfduOI7PLDDej\/JI\/atC4tJUr2AJj5qe9rAAmUx19uq4Olw5rwqNI9c7JuVEIjECOMgKNdBhjl8zmWnP2T95DU+XCTMR7thSY9pXZVEHpKTYcI4Nhmcxk9ov6wbGKWoJOqyb6qroDilA9NCfWIwzn0feVaqbnK9RMBLHNifL5yRnlk8xrfd59ZhDOj+XKLgPelYJ3fywemf1j9FtKhtZxnEORe5OwsPMh2hs3PoWc4tP4zUBq8Vb5Rh7lRj2LoPckOG2GL8DQ1W1BUIDoSDHdjxHPmxJvDkWCkNSBZrrnU9ksQSdvjJWoleq+awhmeDJ2AwZFoum+ONPXr+0AebIp\/eTkborWLBc1qi+CfolKzjs+WbY4Fkp3v2sg2Ctxvk+iPTh+3eOORg\/CaBa4Ro4OQ13eniHGrIE3qQeUrvOXN93B6Fo\/qI8juB7hiB+dntOcre4AaSCwuc3xf2q\/jK71bTZfPMJCuiYTLAJL3i83Ycatus7P2dUCZ5yym4QcB5tVvyk0wKHkozed3TzPsbLDNTq67\/TxntguJ\/C7nAoEtuUEurt4skdbs0vL1+xS7lnsTHHLNC\/LxNSdv68BzNIEZtsawLTRNA3sVcmMR\/aTrXMPQPVBcUV5P7JTTrpy3tTKIYP0DP5oz2YWZRVlzYPEB3tqn9evoDnx00E+Q1o7Ar84d9vDt5u2MzQvEdbWZhJ6m6bm85MlCXOxZ3wviTupnRnfO+L3pznfu5Lvvc0UdVbNCUcd3eTKiqhaUvYqb69SLecrV5OON8MnW30dQ1WoeEQlGkzQE1kMIb72MaIjn4YvOhowhy+AYlfT9aY0jye2byEDIG\/Lkziq23C0mgWKW8SW1K9dX1SCy6xAdSW7rqn7k6lMgxlJC9p+x6airOALBPnKkeTgQFreuUb1N06z0nLyw\/vkeHfajTVmojAiYysiiTLU8XqnXqdqtjMWzndOCIYCdI5PfFqwPiOdc28+MCn8L2z+M3ntyv179tsu0WThTvP9BzFSN+MdEhmq8rTxmBG8zsx3y2PNV+JGrk5PX9+tmjW+\/B4ShS6sNioftLre9YLaxjumtrE3Wdv43pyn82b3hSuKsn3nrthKr\/fXC184zRtVWPnHz58y7th+747VBaXZOtLmOw1GrE5DIrJ6Rmj7Ms\/Th\/QtlpIfyw0wv7tLnjXvyOE8hmnseKbhPYjlkVlMLJip8BGkJtUeTS\/I7RCl0qDTTNwmMmIy98l39rVqEqa4lF4Zs\/4yu4tFHc\/+oD0O9MaqqRj3Bb7u5pycTLN7VgWKRMeJGBFlZ4S\/ZHWzXfx1Vb7WrJx8mEMlh7i8oot0o4LY26V4y1\/umwryNOmAZkVcwTOOKkWA9Y58VK+ZE1Ik7oGWrXPDL8tXtizJkP7sJcmb\/rPxtGpx8hEhYpvAODuDHHlXY+Hyd1iVm4OygBtT91XqvXV3VrXJvKmMRoBsFnd6Jt3FA1TaZ\/p8a61h4dqK7Nj1Dq11K1zbjrvbgfZvJ1zbqQ8ip\/3bDddeso+h3\/7thWsQxEkakL9PVrh2Iju2kvZvO1z7sevYVvu3g973gN3CP7nhGpq7ndO974XrNI3sHSR\/xwjePtjBdnyxHa6Tvbe32\/5jJ1xb+z3cme3fbriO9wHiv+RvL1wnnmcFbf+xH673ZuDBPfk7Ms1wbUd2ZMOuAWEkdaFndw0IJSAAQdw2WGa49naO6aZdgxWu3ciNdkHXYIdrB+xS0AG1zXC9j90Bhm2F68DxApB0DXa43iVBnLYDryEI1+bO3JvtJ+jmJFxbgQUsOLTY4doyLdvq0IMum8O1F\/mO3\/VNPBrXju\/ErkvajhVowrVlW74VHQbjfLh2QeBHyaHPJ4Nesh2nI4YTSGBYHSPw0dzin087e9O+jTcffmZ73rb7FwWst2+gVAzh2ozM2GyHhk22oaQg9KEzfYcjTLk3jYejJq7BYhlKt2rv3RSOc8IhYDqctNN11uz+zUxan4VMvKwHgISpvXTdocu84WEMrmgzt88KeKQeVVmTxSDvsZGWw0P0V\/ugO1NYpte2biUpOdrvkIgQxtcoi40I\/p7B6qP5ycbLbqEzohNGiQ34j12sOuKgB0nWP0WMom52EGmm5OmSFLjEAQqAOJ6aPoBo4H5JBPepP3A\/4McRDAbuh7hd4g7czwZ+EgUD9zMTJw38gfulCdx33BJxvzSKUj8ZuF\/qBJEbDNwv2XuWnQ7cD\/i2a0cD97PBLkj8gfvByA8cl+J+EUg7bo24H0yARXM\/GOwi4A7cz7c9s4OHuR8M0A\/F\/UAMXehS3M8DcRAHFPdL0miAgbgf8ECSOBT38\/x9EO0p7hdB3wUM94t9GwCK+zmRu9+7FPeDMLVTj+Z+aZzGacRwv9RO7Y5nttwviPYesFjuF\/tx3A2QcD9oQR+y3M9Pgd9Ni3C\/xINeagvczw62TrD17K35yZvifzuP4X9kCoJcQIph1TGiVZSG8nhqRi1kLUEjOecXPf+i578Leh4VM9twqPjzU40uUw2jOyCVV7HMd7bwna31nSN852h95wrfuVrfecJ3ns53JwEvJy28nAS8nLTwchLwctLCy0nAy0kLLycBLyctvMQCXmItvMQCXmItvMQCXmItvMQCXmItvMQCXmI9vPjCd77Od5Fp8h9Gpqn3pSV+ael9aYtfaq1GZImjtfRGa4mjtfRGa4mjtfRGa4ujtfVGa4ujtfVGa4ujtbVGeylr\/stLWet8+YoDvdlPsfehxrcFisplP1V4Z9NfImWG\/xQrOBrfgjjmP1XkM2J7fRY7fdb8UlgapaM\/\/TFSN\/mPSc4ujY\/bxLrMxyTRrdbiklSD3OoqvGrR13PqoSPej646Z4QxUQnptRLxmV0lOP5a2tLPhqLAFh5\/VhwZl40Dyd1mrayVi2pcjX9Nbj24uFqtnHS2qZGTzpYHIXojOek0E6chSeYa9aN22\/wvjGr+yZMq5yOhynQJAGW\/qDLqVNRbX6SjGyCJbVsUKt92uaBCSJ9+z2XzhwXT2fikFUKmgr6J\/US\/plI7sy8aiR4nWFVbD1Za20GSn03IYkIwNw4eZWTTxr\/AE\/h1EdJrURsX\/03nejMXpU7kakjwHqnjli8umpyNr+Qjx3Uv91rLnayqVP9otFpL94ZydbSu++ZkxWrBvmMkepvlDieOgm8XUCQw4dNMyAP4587iCwpf7Jw1XYoxkESCoks2XR5UjLR5RGAT2tKwuN4k9VF+N7IiQWeXT3IAxSCPP6Iwy9VvaPdsDlWXI4HaNrZpylO6kpSdXOXKR+8n9SRX0bVpykIVQNoPN2Czl1A3wzQjFm4S5+5np8vOQFVz5re31qSU5ZG4V9m9tGCrahVb7zolqTw4nN8Zy90l+ZoTy82n\/NJLm6OdI08VU72zFTHVegnLXD5hmRJY65pNYgTUgJ1lgL1JwB4PWAlZWgyKFqPZEqsIoW2xVSVYQ0l5tkwydZaQIua2c1QXNie13VaOo11RXNWBhbp8uc3QEHwNDcGSaghjSauXpxBqx3+93Zk5ooXzwNQRd88paf3fynI88ZPSnCJCSUFey8Ao7SM0mCSrPj9dL09fJb41\/2F7\/2D\/h2n+J\/OJRhKixRdY4Svk7miypuiR7i4pX4vRDv\/xQR0WI1XR8PaxNfSkKepCRQ+eVeICpatayLWdTbTOJ4ft0kyEq\/bsneiZqqk0VZRlPNTROywt7CQZBqhkxZ2ISEDV0PH0IYqlTaaMcMYlo+UJbSV8mtksUJvRWL5knUxP6\/q+WOwU5dGXCq8d8+mz\/Ks7ZLIVniHyAc62+l+UKCwiu8nFaCVvEkChgogzeydW4rH+1fZiyQDKubPHluax7tU8VYBFbM9jwNRWaMm6pKkAjCq9olKWphiZfuIjSXJHhYR1AQXMbyNyGskFbZt3J5ruOpptH+6FLB3rcMBmAR8Gq7QckIEtN91ank5pF2ypnVc8pB8bbZ61JeZZpeC1OFNUS3RsGBuqYWug2rLjykNPf4E6ZEmRfEva9QnkL7DW6Ndi+rWk\/SqONzbBNp2llVDmQIH42kIjuBMbZ0HVTGlIikGJSbNowYVPnCXKKZOueMq+ib3hpmkz6D+4x9jnioevchczqXnRognZpHtzvF7INQ8TvGX1GEx7KVAUKy8KT8srhd+j\/LD5pLvcxuMj08h4zEOtRsBS3qKDrK8J82Ua5uyiRw\/B4H1FGO0RI7DcYjxrTK2SB+pTr+BKs3lpJ4ZSdfP6+ak5ZcXQx5C6QxecRGURkKeTcYaHG4llapVwfeaWpn2ysoI59yuSAQgZcbfzvx6y7zIpEHQx8TITFWagCfjbFcyCu5uBuRksSpuZnEH1jGNvsDFwdMMi7XazeHucxznW5gFV2rQKZ0rT6bhzK2fyM1NWOaWRNjUSXcK9KPqr3RlFVT353vbFva1\/tyOMVDNT9vindNpsnVR7umiMQZ6X10ZFkozp9e+J5oqygbpc4I5xOto8BMU0Tlbflpv6tLlfNUH2usSsK6ZWQCanTmj8LImVRSGjWjkipInKdKk5yVCuFV1JfVZuPmFWUKz6vaUd4B++FC\/gsSeHUtQ9tDzOgC+waGoNxY8baJdA6bkP0LrNyR\/Mwzy1+F7GgtuveS7Mr+Z2ATSqrIlAHI9k1Eyn1GmwqFNddoMLB211t\/kd65MN9DFdsFrouSrrWi65jUz\/LibTdRdnVZzDR1R2t7UPvAQ+TOpZtlJtFSsd3ZYwXUniRqaQlz+rY6HMlUY9rRnIPS6m4PZrxfYki7ddAE7GsFpS0OIw2uqJpJ5W+TzGuEVSq11xsXWXt9C2D90tzI2ZV5aeeEl2lqngtq6mnKBA0UVCo1SA0T5Q4Fsp4pvEFBwea+skXbXE\/DoYLLhclnTlH618svqK97WI5TfVQipbUy+V7X3CIz5Xxzd3ZyzdzoYm5TzVpNVhupgw0ye+nO9XkU3wieGuHInrsSqzJ7o9Jkk2+a0uBEKMOP\/QjpitI\/qfnuH3tAJnWPcDu6VVeaZTmTbl8JeluhuCR7nbgjRogXE\/t9\/B91w50C+tqyztIY+uvkY94pe5x1KKtsrfXeKS8a4+8DqoaR3d593IDp8Td\/NLBeua9jafKvy+oKo7O+q7r9aU5tC4yfVIXF2Nypzow8gf4Doo1jCeN1IcSWQxe0IvrZaG7SOurpGevwa6sOUur\/Ed7uiwUYSWZYujVowmzxJYya6fmdgZYUOW1\/jUxgNNSkK4i5kXxdQ3dwaGSHiXIkyvEmtoS4tQYazM8PnDgKkjF2S5tiHKnnuzR3eWPhvoWNdUBe7sqTldz9HXOyrA2NoYrJvyom811AaLhfuJm4pxYC+AcZjy+3i+e6q8YjTR4gsOzdGx0c3ydk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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-n2jkmlkr.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n2jkmlkr.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n2jkmlkr.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n2jkmlkr.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n2jkmlkr.nxe :where(ul,ol){padding-left:20px}#nxe-n2jkmlkr.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n2jkmlkr.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n2jkmlkr.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n2jkmlkr.nxe svg{display:none}#nxe-n2jkmlkr.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n2jkmlkr.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n2jkmlkr.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=\"dag\" 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>A01 \u00b7 TOPIC \u00b7 climate-and-nature-risk<\/strong>GRA 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\">GRA<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Insurance Nexus<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Established<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Insurance Nexus<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Climate and nature risk<\/h1><p class=\"nx-tagline\">Climate change shifts the frequency, intensity and location of the hazards insurers cover, and nature loss removes buffers such as wetlands, mangroves and forests that once reduced damage. Together they change what is insurable, at what price and for whom. This page sets out how physical climate and nature risk reach insurance portfolios, how they are measured and stressed, and which institutions hold the decisions on capital, cover and adaptation.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/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:\/\/globalriskalliance.com\/insurance-nexus\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-canvas\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Systems<\/strong> \u00b7 around this subject<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-insurance-gap\" data-cx=\"insurance.gap\" data-variant=\"section\" aria-label=\"Protection gap and claims surge: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h2 class=\"nx-fk-title\">Protection gap and claims surge<\/h2><p class=\"nx-fk-sub\">Climate and nature risk \u00b7 Coastal portfolio \u00b7 Event scenario EV-09<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><ul class=\"nx-fk-kpis\" data-n=\"3\"><li class=\"nx-fk-kpi\"><span class=\"nx-fk-kpi-l\">Claims notified<\/span><div class=\"nx-fk-kpi-line\" data-fk-view=\"kpi:k0\"><span class=\"nx-fk-kpi-v\" data-k=\"kv\" data-tn=\"true\">5600<\/span><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>Alert<\/span><\/div><div data-fk-view=\"spark:k0\"><svg class=\"nx-fk-spark\" viewBox=\"0 0 96 26\" aria-hidden=\"true\" focusable=\"false\" preserveAspectRatio=\"none\"><path data-m=\"sarea\" data-k=\"sa\" d=\"M2,7.9L10.2,14.2L18.4,19.5L26.5,21.7L34.7,17.3L42.9,22.3L51.1,16.5L59.3,18.5L67.5,23L75.6,18.9L83.8,15.2L92,3L92,26L2,26Z\"\/><path data-m=\"sline\" data-k=\"sl\" d=\"M2,7.9L10.2,14.2L18.4,19.5L26.5,21.7L34.7,17.3L42.9,22.3L51.1,16.5L59.3,18.5L67.5,23L75.6,18.9L83.8,15.2L92,3\"\/><circle data-m=\"sdot\" data-k=\"sd\" cx=\"92\" cy=\"3\" r=\"2.4\"\/><\/svg><\/div><\/li><li class=\"nx-fk-kpi\"><span class=\"nx-fk-kpi-l\">Adjusters deployed<\/span><div class=\"nx-fk-kpi-line\" data-fk-view=\"kpi:k1\"><span class=\"nx-fk-kpi-v\" data-k=\"kv\" data-tn=\"true\">49<\/span><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Active<\/span><\/div><div data-fk-view=\"spark:k1\"><svg class=\"nx-fk-spark\" viewBox=\"0 0 96 26\" aria-hidden=\"true\" focusable=\"false\" preserveAspectRatio=\"none\"><path data-m=\"sarea\" data-k=\"sa\" d=\"M2,10L10.2,6.1L18.4,8.8L26.5,5.5L34.7,9.6L42.9,11.4L51.1,16.1L59.3,20.9L67.5,17.7L75.6,23L83.8,19.2L92,3L92,26L2,26Z\"\/><path data-m=\"sline\" data-k=\"sl\" d=\"M2,10L10.2,6.1L18.4,8.8L26.5,5.5L34.7,9.6L42.9,11.4L51.1,16.1L59.3,20.9L67.5,17.7L75.6,23L83.8,19.2L92,3\"\/><circle data-m=\"sdot\" data-k=\"sd\" cx=\"92\" cy=\"3\" r=\"2.4\"\/><\/svg><\/div><\/li><li class=\"nx-fk-kpi\"><span class=\"nx-fk-kpi-l\">Backlog<\/span><div class=\"nx-fk-kpi-line\" data-fk-view=\"kpi:k2\"><span class=\"nx-fk-kpi-v\" data-k=\"kv\" data-tn=\"true\">14<\/span><span class=\"nx-fk-kpi-u\">days<\/span><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Watch<\/span><\/div><div data-fk-view=\"spark:k2\"><svg class=\"nx-fk-spark\" viewBox=\"0 0 96 26\" aria-hidden=\"true\" focusable=\"false\" preserveAspectRatio=\"none\"><path data-m=\"sarea\" data-k=\"sa\" d=\"M2,11.7L10.2,12L18.4,12.3L26.5,14.9L34.7,18.8L42.9,23L51.1,19.9L59.3,14.3L67.5,9.4L75.6,3L83.8,9L92,5.7L92,26L2,26Z\"\/><path data-m=\"sline\" data-k=\"sl\" d=\"M2,11.7L10.2,12L18.4,12.3L26.5,14.9L34.7,18.8L42.9,23L51.1,19.9L59.3,14.3L67.5,9.4L75.6,3L83.8,9L92,5.7\"\/><circle data-m=\"sdot\" data-k=\"sd\" cx=\"92\" cy=\"5.7\" r=\"2.4\"\/><\/svg><\/div><\/li><\/ul><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>Surge plan activated<\/span><span class=\"nx-cx-prod\">GRA \u00b7 Insurance Nexus<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Economic loss by who bears it<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 520 210\" width=\"520\" height=\"210\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Economic loss by who bears it\" data-fk-chart=\"cx-insurance-gap-c0\" data-nx-z=\"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\"><\/svg><ul class=\"nx-fk-legend\"><li><span class=\"nx-fk-key\" data-c=\"c1\"><i aria-hidden=\"true\"><\/i>Insured<\/span><\/li><li><span class=\"nx-fk-key\" data-c=\"c2\"><i aria-hidden=\"true\"><\/i>Public<\/span><\/li><li><span class=\"nx-fk-key\" data-c=\"c3\"><i aria-hidden=\"true\"><\/i>Uninsured<\/span><\/li><\/ul><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Protection gap and claims surge: the screen's structure, terms and states for Climate and nature risk.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><p class=\"nx-caption\"><strong>Fig.<\/strong><span>Protection gap and claims surge. Design wireframe with placeholder names and illustrative values, not a record or a live system.<\/span><\/p><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Exposure, hazard and the exceedance\u2026<\/a><a href=\"#nx-sec-question\"><span>03<\/span>Climate and nature risk: how the\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=\"finance\" 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\">Climate and nature risk in insurance is the change in insured loss and insurability as climate change shifts hazards and nature loss removes buffers such as wetlands, mangroves and forests. It reaches insurers through underwriting and through their investments, and supervisors test it with climate scenarios such as those published by the NGFS.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"climate\" 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\">Spatial finance<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Exposure, hazard and the exceedance curve.<\/h2><p class=\"nx-lede\">Which places drive loss in a severe year, and how far it reaches into reinsurance. Illustrative design values.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><figure class=\"nx-fk nx-sf\" data-fk=\"cat-ep\" data-gl=\"sf:cat-ep\" data-sf=\"cat-ep\" data-sx-credit=\"Natural Earth (public domain) | design event set, not a model output\" data-sx-src=\"Natural Earth ~ public domain ~ https:\/\/www.naturalearthdata.com\/ | Design scenario values by the Global Risks Alliance ~ illustrative, not data\" data-sf-learn-views=\"ep\" aria-label=\"Interactive map: coastal exposure under cyclone basins and earthquake belts, linked to a loss exceedance curve. Choosing a return period on the curve marks the places that lose at it.\" 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KxNhsNVc0cYM1CtTF6kOaOsCKUKVyOIzordIyHuvwBm0IVmd2srjAEj9R2FoQ5oSCeLbuRvhMSdciNyJ3yVqPNKSI38Bshj9otmQIDmFvJ9ILmPbRPwqMCWlXcy6irwMiimCq8rc6CN1hzdHcgU8dUvKEK2DjJYssI0HbC2JjiVLEU3litmNDBtkduI9XstIApyZBEWtR9FOIgF3XWTh35oAjnaPI1nLTAgk45BpIVQWjXSgBln900iL+8RrZBSLbM8ymPaZqE9Nvkim253Q25GxQ39XQCYu29T0U5PcciSFaRsjuZ43SBQcqKXnAnlraNzStjfkazgFQJsh077P7NxUhpQcugeB7QHeVWXTkn7DRbGVTbSLaFfTQ1mxoAIrvwRlmIGAuEgsDNDkMAJLYc3epCg4z3KO1TROBP9i74G6YmeIxYgTqyqIDix3WFbxWmwSMoRA5mXIXRDLlDatJ4\/PkYlA3IqisxLJ+7xxxlZgiukK0SnPllhQsSg5aZ6MJtZ9NB1Zf03EZTuRHR9WxI55oWJji+00VzF7ie1NE2GTAZC\/iRA070SMxeYQmyPcoW3nz74H\/kVLzW4IsIZHgRy4W9oRLGDItFMs1qxMh1uViaFjyioOdyDa87RHDckPUgmk9oiJgV02pBOI2Qg0UItLmRQ7Ep7lsIgZtqw8STQglUOmM07T41YjTcaGfGES8UFZsMg+Y\/tLyZZl7yurxEYleVhogDBPsbpiyiETsxZMzFO8crFiVcBChTUU0EZxivewMSTDA29lZJ\/MMpDNW9SQREtylYy4F0YsbZB7bNkdwkL+eWM9Wv8g9ot53hAFHauM540nH5weJ4sWvGKjiKxj1EAqMNc6tF8yW8ignNAbW7Spsp6ACJCda8WHRYQFWH9BDMpGWj\/y0MhGFrsZ3RyjyaIJlWF\/OrArRt5Ma2qKoV6R4DVVfN7g\/jNseTxvrNXKk4wWL55EO39pcT7MUsWsZcnuiAgGEptYZc+CNZW1ZMST0knk\/QSxyKpikgQeDQI1JFOM4u1o2YYkiZFJegY0ODx1yYJBs\/ol04usIBIE+FtGD8cx+wgmYEW3eGJOxgpEyxdziejNu5nIV5lM6JF4AagAyArlIUfyOGkFab0D7wu2wEjzilcexXEDAgnIVoYMyhraDCgWkKcSOQmBBBFR3RnUuCDigHccABshoplwLhmtV15qXYk1XPYtwYTAlntQTiR6IJ8Mio6WDU3qRCMnZbGCHbdIqpnkBG0app5jZQKMhETRAJG8yMzCvt2munXJaUEQ7iMbtUooQCNtFXbSHDeJrC1WmjxkycmyzBjPGzCgIKGGJ\/HP9n6kK4QAkMQgQ0osdiIML6Fhm6Ki\/Vr+QO4EQjYQUWGBQqtn2f4WeymS6csoaFEzohZY4JFXKaqDxajMnzQxTYtNRYYagKhmBdvyIjhp2ag1KxoDtQytbyTBrsjVAF43L44qS7SIrqSrgmfcjPa7xwaQaZIqDg3605YmxZ6xFX3pWAAih5NZ5AtQFIlXompHxhgUo1xEAZpbZXF2FmmJ2tiwc0CypBhHraoQ20G0OC23fd6ECgJtMi\/7kgW+r3hhSY8I4BNItbAVEsjWUOwsWGreFpBMsQWPQ5dGFXv7QKLYVMaK1AkkZ0hvM\/NJ3+TCk8hSrt31rMetQGuWLAkgPo1kVLNXYxhQVTwpyy20GoEUiSmqk+xALf2SI8u2lXisRhBMw\/4fyXXmP\/rGZ4SoxBEr7jc9FGn7BVZ+bO4aphhtqij4GDCHEse2IA25ryIzaeV8gSfEWnEqEfqkC+5LkJHMNJE7Y1RAPSNOmphjjDg7sXIR6kBri\/iSOkIpaUKFXjSzCW8UQqNIwZFJwNI6FIOOcGL\/vAkKoiBbZFMmdMcZa\/OiY0A8a1MFkQ9WwgvmeWNc5QuOQkzCG4fIyrCaJXXFEQbmBluVgaG4R13nrALLnr4vviDeH2j7kN3vKL6SaVVoZCTuUjHhNbu4nm82jI0BFIRPbFOCM9GMI5OSBW8mJIjdrxI7ARZbSlqlcEGugGw6R6RhccHPgeAdDPMBK5TAmpMVs4lsC0cF4qEybwBvRWI7xZ4y8Rv50yi2PDkemu0xYtDI8hZDJoK6mEj7Q\/ZGkI2MdHBWOSdoTG6HzrZDRBMDgVcB44HcM1afpvVpikxKBe4ivVvQ7xJ\/CkqWk0IUBEeQYg7KIWBkRBlmNiJxmqxMGLeRfUTaNjAamJnRBMTgaJJnRNcJP1oBHtmo0CRNSTHzVvYFOSXBzE5dECSFpRErsURML4CDk9CPRr\/RkTPN\/iI7YlBsL8OmgwgZ2RRGPGUyEYjTLG+RimFazY4KGXwJjVMUqxjoExlsCf2sbAFOWJ6SniSbliRQJopx1KfAvLxSxUVhbNribKMEY2LFYrsIQcdcR6JWFAEIZ0TyN9k8ZehYk\/Zhkc1blnvVVfGQGR4AQeCYvKyzLcNTQXEX0AsjgXQqXpKg4iBgRmStQAzOC2J5Yi4qi8KaIX3FW4KNPArc0mqwqPDi0iO5bBtC0oLwApOMIn+06uzpixdHdisHYxCYcyoKtO6YNyxbiwh2ga2ChJoFo7bijwNburgGsSreWFCsUCx5PM4VlFtieKQgcxWcmMjECcTBDEHYFuUQC0GJtMRlohnTXqHFpH4ycSY37ipIzxtH+1RLZECjEkBU25KFzAiY55FIGIplIookG1BMc2iRaGxk\/wpCa9mMJDuUhIyjPZAYFQWDEUlicyA\/KdIOQ88wVi6x5GfYA8SkAcGjLCOuicFUAuHZVWK7kaWsoiBpu44ElpFkBAmnYvAHSPQLBQ2vlGLUyXGgxUZ0+r2oQPIL0VBnKKZdKCP4ZBLbpGI3m2aXxQP3LVkK4kXbiUbm+rYkWUBRGWIOkuzkCpOoDGJZR\/ktPG\/ISWLli06iZR+TfRoagM0YZ8OFyGx9CDZnGKn1VRBeCQwHKVLSWYCC1Pr+HJH0DG0zkEBGoRHYA\/UtchQHQgUtTGw\/ESJkJS7JQTOnvJjBbKxmtiuBMGDXxnmDgOfkU7G5ypiVLFHFBk0W9eQltpE4WCmAtxYcgnaMOI7KZLnHtLCooUQL0MLFRjBNz1kj8m9WAALGYt5EJrMnUbQH\/3veaJFRhgx3JwaeF7PJCyQr8ASDTrZie5EEMrFSJjea9DcjckEZZmqBScUgZyayEmv3bIGL3qYJaon\/kNAmAxPxQvSShVXZNLFivQvIRotHQK8IQUM4tBO9ksRwxdUMlBCCdj49EzjfhFaEPXy6vSoIL6Bq9KJtyK9jf4XH3SJ5gEqD\/CyimBOok\/0A0R+UyQEc3LWCx9Be5kiRKmvIwST2lAV0Q58BdRGvCAiSx3JYs4PJrm5gDIRC2qwQI0e82QsUd6zY6JapVBX7yzOQoknyIadyRCOKJvAs8MncxKaJMCKNadhCwShurW5RRWiVNBn2DASKVcuS1BU7nBX188ZKHE78pDKochttxaw45GfFrqe8IjLKK7BlQblJy9kFNNrMAJAkdvD28YwtBfF6bcktKTYKZXWYVuhxQIygx1ZgsEdlWyVN4kxZmmPlxMTApKkSsWDtbkrskGjpSyATKJzEUarIqCERNFeFbNyrqyIHZpIYsdA6SbjfPcJQyOZBrCCSJ1W0lYsC5TpKpCJ7TaKPWeQY+4ecDEDxaKtl3\/ckqjCFwCFsnWDihGLEylEalJF9yKi64F8VSJKEE9TGt8F8z2pfnAlfuRZ\/AiNiXVeFEYHsGiNoMfAFxqLJBc\/Cg6IyOaMExQrFfjoeYl3kVJTgliNjowqEvDglUC8KjpLI4xlKQLXG8F1BknirOkl4Ig3nilYugKvhNC1OmGIjno0QDlm14YskeU8c6eEVAjLEDZNI7Fx+kvN2NIbv2YoUVzaoKH55lyel25i9kZ0FHORqZRItpfPEVUHM39Z3IjiO159BkaSKQVy2lqskIJWq1vRlMxFk75HJxv4D7zzRY55dCvCKkwEJ2OHQQyWBa0LqxSpnuWhbPRU5rFoSMCwtFRkrHD8mUIG5AP0uk0SFG5aPjMxgXICDLIFbYCNKZJHBiHfhO2Y6x5ashLMqx3IvtCRlq5ISj2xIykDRfsD7GCoLotWIsYv+E+dMs+lE\/KVb5D6ImUKOHqjMsRUrcj2QhEqyuuylS64GM2HGzZM4WE6WKYFOnOAniDtmnzliVEqc4VQEYwk0TxIx9V18kCOluqRdoR\/D+AnCNiTKYkHsS5gsVlFADcmMorbFYyOQw7YxfMQPEkXkyGyyHBHrOBjYfhZnWoS5p9yqQIZZYDOc7SiW\/sqKRmJBbsmMMmRjkhFDIJQtUEoQGxwEK\/HkBlhOsWPQAhctmSoEVbI1XAcYF\/+aklEMR5YsDZoRYMVJv4QkSg4UQVoEXEvcgVxp8TOEMfGTSC1GCbzT5JO4orF1WKHg3cSutsAEBL8xEEcpAMJ1NLws6ZBG4G7CGJmKrOclYgKS3FuSa0wL5xoxeqBAh1ZkHKMhto3KFCReU1qfJjM3Uv4w6AKV8kZAz88lwrY5l4sAE\/RBOUGKV0k4TYIOIAHTkhRGRj9pVFvwAQ4ks7TIKGQlSlixpSH4lojlNmpCssYKNNq6HBZdliLXKCmkZHCxsYCQrngqIIwh8eQ2v5VsWc5HZQfQiwiUVihWjoAVUMa0rUoypJXoOOcGgkUb2qmyqOLzKxaptgBnbMI8bwxZhpbVLxj2Iiyb6MC+MKSskm95isSap8B1SRE1AhYHJGQBRGwFbdDaiefiRX+ynyDZxARvSbDWceYaSlWaKUh+Cd1bJKiRzYarlFF2G7HgGNrCvEfThjXY9EZhhq5FZO5mMUjsgjz3vHHIXMyXmXLme5kPwrVsEZbwOHm7tP1D1Wahcny1AvASlJBcXPQdQ9svgyIstRzNWHIVSPjKRAWrizx1hldYr6ci28uqUe65+HMgCJWjPN6cOduGSIuedhbhx1g7wQNGQxVw1ShkxlOj\/EJlJHUhkGlEjj6rS3HUXSWZIBQxAckUUqI7RVew6qT0BYKoMbXBiOGqSx6eGAsIPbMFUEJbfDVVXbJZIKiQDazIRhlKAhTWHHqzaEsksdAYqEukGFBoOE1WgCqIJHORZ22S6EYUPp7TpViVkglDUjBJQklGqotXLjlmvmgZdrTFwcFrlGyJU\/CMFrDlkNBD5dAdwz8cYCb7hmNe7nmTrMK0ZU7gMV1MvcTQOvQV15b0MTtsApyYkjSQGJqwRQZywrKjbFxOsycEi0n1vPFGOeAsJgWSasgSK5VUWcmgSarkCKQ2sO2kSc+WG0i2OENNlFJhZXSOcsOKXpDMNJpzLi62JJcyOBmJgaBFxjSbdeiWeNLghNSVpfOqgE2RthgZpkWtCSRuWFpbYTFOZsBBtoin4eTCChM2UvEYjGRUaq8kLOq4rIZtI9PZ2xJfjSW\/0VIMzSl\/XheC9WKjYk88Ui1mBSGvE5sMglx6BCs9hoZRTketbL62QbTyo19DEJfYYmsIe2b8PaO3cW1TAX2bBGuIBPb5KvoqRbQjHWX5gnJXt+V15LY4Vg1kVGfUeIGyXqNycPUUQ1RGpzVY0uNOxVzFQJhQquBqSgWtuRlP3pxRKVeZAhZo2VzbSsR0Gp3WznMOSsyVQ6Dq2uf1jdHpAxjDP62\/MVF\/MPnGpPiBLv7Xay0Zbslg3o+xa\/TmKHJAuTYUlkVExOMK4l8JfwH6v6WsLNweJGMpORMIZaNUIEqetJgi4jgtLFBwzWKNACUKozVBECEKuUDGGWJjqEISQYgav7ZkhqIaM+H5yslEfCitK8sRfIxRcbyKsinIpafvSGsk6pmkHV3GaCSjuYQIJfIwCTdBYNtw1ItSQxyVROE0Oeir1dUjDEQNvYaAoC5JaIygI3kxdxkJgV8DSk4cIeeHJAUSvsHV0Bi+oLoASiY1xM0Q8CtsgWxlFMiJgo7o86BYQ4VtOcBIxi+lr2kSxqGycO0EICMaZtcg9QIEr3JWvtTRWfFsANivI00o2FeSTDEslaLymGu7tQmLMdeWcF1SAoRFkZKmLEOq\/CABC1x4o2WNHTIbcFYkZbBIgq6pHI4qCEpP46Ns9yzFSpRRpcXbpS8J3iNXh0JqRrnz4X9ardfd8I+yXw2iNcGuC9zNzhjXQkj2okQD2SGD7j80Q2k5xYwT\/V3Kccr3gg5JqaAkibBdKs4SBM788YJwZ\/EaneAgsTIuMuzZJosYSUcuadscL+7ACJQeLpSbxTIb\/gSxzCXfoeQpPm+ci8ozCiXIUxlvv5Oq1yml1RsSOeLElodsb+IlfVHmQYFhrGQpDRZCCkgnBX7QBocJ94AsbAJdtY60XIAKKFSwuH9LFvqAemzTi\/UtrkBG9tRtlRH0SAcCq7bEGJKCjVqfBqMqayMxhzI7Ck8hEmD7rYjLMu61pdfzxmSnQurRyfTm342uxw04KnJDfIHoBRguXmDhI+hK9CjHAnMc\/GhFgOploeMvpyly292lpVgU5C6sJ0woqJPkeUJbC2ra5ZIkXDztJ5eU8RI7AqlmlCi2wYoh40uS8HgWhSYCBQSKAQZBfkrVolMtk2fykkuWYBkPlMSAjmGw+gsjhrbqUhWMFG7AcONUJniVpLDm5d2G+K0mhSqYCEjmv2CoXO3hxhuvcBIi+RBapwv6PFakUwU+oLFZXCPotpKgkHxTRktJuKPH4yURu1cpZ3NW7iIL9mQcJUw55XK7h1l+mlJ5mLVyth2TkdRyTjJ1vMl9Ire7P2q6prlyQkD8djgUbkHR0ApjkdzQFu0wOhVNi3D2N7rvtlqVtQquFWHdf7obSbvxyQqvyhbqkvh1b2BR4kOFvGd3oEmO2Xa6TXYx\/SHJnnNWAq7i6leS48lAEpY8JSmLM8MJ8k9ZbHcm4QpWxvRxmCDBovRCM8hXoax9b86FUbiokoyfbkLQF2jt7telwte07FEyC5iPrEfLtKQF8ZpKuTV3LsAfVCkKbdtsogo6TcU3lW54J7tWcrYSEzy6Vj2p3EpX4q9YQYQ+E\/QqMPraoWwsn4pCa2VBn4tacWoiZRcxk\/Q2VE9eeYPSonDO9PKGCno7VloQKhW5LbBNaaATUa6T7uQGFGiAu5BUFhPR4\/BF5BfErex5hEBAddpOS3gMWTwgg3YXfLeviFhe5RIrKtR0wgIxV54zzqgWpoSAec9jjWAu2a1KUka9I3UiYriFrmhu6PIOx9gWVeTEcSUzNi24IwWUuz8kMV11mXbmSAEXMZyr5PomQI+loqts7ElP01tN5y06A9BTJlBmQbXbrZxrpR1DhC6rXJhtIMmfNxZPQdBtyo1uBStqRDTgXcusIkdlMCbgwuvBhm6nX2WKup0LVbbxPEd\/izDuiTSDUEivrd4lr9EfK1JY90w4TscFlBqj\/duCuollT7dN26EaShszfeumWw40s1NqLe3hUgHmP+pO0ap22M8bFN8hVdBb\/5Z06Bn1LZXBSB2WUcJYTAqI5Qnl6UlZaZvq0cGk9jsYNpo9Zf6MLEnmfvKW41DdF+YwuLHxYisX2hZIfOrinw13B4lNq6IdL6LoNgJx9Vmbkk3cb9H0urOIcl9YxIDQRux9D53CMCFgEmS33UxPzGDZvDsbJnfonUp27IfwOFEpDCRrr78KEXlvR4wvfGF8VOHCgwkd4nC23eQYB8Q3sj9ffdK\/iMY4M+WYUWUDVLEwsemxAaH2VtPJH73NaMpC2aR86OumsjExOOFUCFP6CwkHiJJBbytCj8ER0Mgjrmm3m1XJXiArpEjMMcXi4C1HmKfnb5Tz0xu8igz1Skf9Nq32CNqPRThrPap5heFmKiYVrpTJ\/a1WdesINlUhlmUsHMXLiPlLMM1wiZawVZCd5f+8yVxk3k2uk8KEkoSiQ0oRCmlXBKN8u65FxZqig2AoS6BM3IJT5ETZngwmoR494i\/QM\/s7AWQRusrnHjTZMYCjzC2bGFUq51A7obdi+0ob+vrQAZ0aUXXH2bRaBqgGFaZEHlptvm+hy6DZMudATHXmyWA9psXCymJ5djZiZTFA6M4oRi2ilZPCwB8wxT6i4IA1FwQe6Ulrzx9lcxpK6XQFQxlTGcRk48CabyfvgKGGEVWKlNF9I3ikRRB9G\/me7cZNsSIj0PQ1lsRi0PoIZ+aO5IxloJN9z\/Q2kyeyMuwmXrWcWIXIJVYiIfpbAvM5gptQ28Q1CQH9bs+3bpd53kQDaKKbNt2HDiZBoD25aWZyuC21GzlqshIBVPQSFy+84tHesLm\/hztLzXlPFt5o4LKsWmOuytAsKJY2ZEya8dN63KZA5wV1GrDlMqrQHtloRb8HjWYjTElqiHwIwYBxi1J1np31gaYWxcHJIt2e7cbzvOEg1nAC4utAaRA60FPwCiyo9xd2Ovo2pGxgJFJJTVE+2ZDzijnpoTLanM2vMK0mi6KbdOdNeI9RE3+2v2QPIbh5QcRXETXDtNjF\/GCwMNLFWmytkNBI7SmHPuQTDQa9xmtBHhgdfOLNQLv32A2p6uwZqMoWBwlm21cgvS1mPCGno6uta6cxYGJ7BrMuxgnKbVQ+6cx6YjHjs2pt9bNendd45t0kJyQ+ewzGZjcja3bkPxcXFcWaveAZeAqp9URzS5sKNKg4XklZEIOouNECXrSYCfvqbfVSUdmE8cQhagDdtnCWIlFDrVpsN6OC7ZDwARvmWBzQ\/uDFeEvk6w\/8j9ZYirxj+m2WeTk6FKScNSj4HVq16AnZCxrcEF+PzcvCRRGzbqbNNmMpgxh6ZqtuoV5MuhhuT8mDSn2ffIjIUaZDG6TpebQMRhh62dC5ziBKBzkbqOeR8vwweGBiCXn0F1U7ZUxubfIBduDJgAzTdK68C5ULI16m2WHB0zSqkC2XkPcvtTBGpMDx0FjA3PxEsV3dAQoD1xfLyjuEz7ZZQKg0kh5EIaRkidKg+4B0u8twy+uSj1cMMvGkJC4CY2WOyBObIwOdINCS1whq6DYvtd2Z3oq50Z9t4RuTKUlJECoiQqRI9zTlAKNJur\/iVetYYt28M+3AhevIJMd0IdO6sQOj1WRBOEbanTZX1D2MCrquMGWDQG7phyoH6LC+HhPL\/PHslNaH7lvMhOQZllpTXIfuJ6EohOBRATopF0vFYWOcR4AVDJ+fQxUefVzTwz4H+5AiqJyI2oEDJFOx1rqUePaGBiZVJpRqXui8KbASiu2N1xllku2Pk8b0WmjYdKFho+O67GTZE30Tru+AdcJCSka5FBSFOTtl5eii9sSqThNCqWxoRRpSOg915llUcABEdiEJHxGP0xIakpiKnGOYvbK5hMN6hpebChbkckpQO+Z+SMAOve4scsr0VrofnOvB9d5r4pX26KW2uIQlFKbAdX6l6QlvLpZhxxoGBvAo1FZBFy9D395hLU6JEZ4H5k2vpAtNqMQngrT7mR0dxh3pIKCClvdM73IOHmcGICgyjqEOgll0Zk7uWbetldvDUcomqiyGH4d2Ep9KRSXMCFtDZaaCYhYBRneGI\/lBZMT2go\/l5KmeX0+7GD0s16OJLTQxGDCKEqsbAJw9D825WNRYF2WEiVAG0Q6Tg4DO2HFtGoRBR82e46FuIE8SiBaTbPGBHQ+UHOV7vATFrbDomoMeif4wCsChtqPTWMsBKf3oI2ggZLk\/H9cKNNQdeaDZSuVqF3ZECDkGGbWRqqyirZIybqC2J1x6wXhzqPxgPcuxZpy6TXHjQhqmhOHTZPMZ+qe7eJO477mLFUF7XAvV0ccqpF4cyRU6kDxDvFqiNOUYhpJw4NA49QIIycAkBo+RlaTC2LH0RXSWdbG5zcPpAl9mwBkmZfS1repMQtkodCqA8e0pCK6\/5gHLUlxb9cny3Qlejkc28SmuLeFsa+Abm5Uex5nGQKdgJmhCGdO3rcbGByoEzcVQbWZBu7ztHPkobNsCkSKlkScwhUEOC27jZGToxlIzaOV0QLL2UjlLtA9BonJBIyz6FgwdIDgVIl8m9YBZ6Mdf0eO1o1hH535mPFRvMhTkED9x061i4A0uIWohVvlS5M1olJpuIp6HCiN7OYRmYh5WpemInaFzSbogcA+9Qunlw1ln4pdjJACmMfLKZddjo3JWMwsVZ6tgx36uONZ4wqnvhT\/6aVeJ8+5GIVBGF3Ike2WSaK6TruMFRIg5pBEkX7a\/DwGjBJ2X2Xd\/Iig7EZMRiRiqeIkyJiZl\/fT0HXCNxziywHwY8Mi\/SdAXA0QmTKMyxqQqmgsLzJlWcIZUlHwvY89Az0IbsmVGaI3Qu7LTmK\/B9wrECyCrDU6F2M\/M6i0vHuYp5W9m4kmvQOI8fbOLs+5zoBcHDCD\/1mGIiQ8JnWJwh5n4\/gzGMXIOdGX7OYbQpTiJF5CnAaCAeap+sPVbsM\/SuWsw2KTtqefOqZCnQ8co+Vy6gPNY55TtJXdVPVvOYHmgmcY5AXwFE04lXeIjCk1vYxdzJXuV0wXWJ9fojGtk8ib7Nuh4FiPCHKIUz+QJjwY9vnABjIPsGHac2qc2QWWmYEeSKBprH2AK9EFo1edpLBM3TZrAqhmv5ZyKFvPRXeofApnDbNkOY7KCf09dg+iVddNhc2eCyu7c5JJEH1uFCyhvtoURR6YuRS1Qenf2LHT8C3gYuIYLmQjRYtHQdBSbazomw08GY0ExXMhSMeiLmD7Ld3ESAlj8xXhrFDxnKoiGOVcmt7WIXQTR4rdmHNOS+UeEjMNZvJIZ0fmqJD+cy2GwFBi5iCMih+fp0AI4OkJ7ck9RiYydznAh3yFqCfyUyCJaUbkfVjU9cYmnKEdf9VRJ\/6LHioFwhjSxzrcdMHKGAru+aBvbZh5lQjDTUVmPxcR9qvUkkRRsTsWMjEMhHC7sqJBVghGkWIRCkBNTzuHBTJUXY7FeIg2BY2JTi4thrxI\/LOF9YQ2MzWWORExuRUYTprI\/5PgsNESmA7MmGBUviQ0s7fUXZBi6xMaMZGYJN6Dlqi9EkTGG6i\/EKVC8xQuZMboKE2k4zNxOmQsBZKtVNBcyPxBOin6c0Flc8cpdyA+ICL7biZAopWFkzOScwNA9KB8uZDWFWEXXz8fugaw+4hhbjGgAS9C7Yy5IUiw28heiJi6j2roQOPcUgusXNbQvIyFUV19I3EKj7pJAJKEA0M8Phd54sNmetT8Ibho8SEL3gN6eIKLSKtcLQ7WZAQ6xv0sZZhiFcnaa3mhAKYAwxCXKVYfZYGHa3KMwuYGe39nHP8DpahAl6ctTyszNbZ5GydRHzggq50HyR2fQGcw7Tq3ZNeB7m7IKF9KPKnABZXsXKtdDt4RjVTAOx6Gjb1S6kHFh8CVHqZ9E3GNGR+LLT+9Rg6ufOwtiiLxV4C6IWorKcgFngR3akHcs+mkQJXL08o0uCWNQAJRQUaS+BdEz5VHxZjcRx7KU5gdT8RHMKvPlhPQ288HjIYGmGiLuxevFKjyplbKD2BJGZ+yFfgzCL7qFNaW0GeM9EeRUhP4CowKCElXQo6xvOrLGtqymu+3LG38Q2moBAEUZbeNYR4VlmkF3+6zdSZJn42I\/nFIKOqhErot6mEtvthtFPazUQSKEGmHd01quX\/Ilw\/S9hP4+pu18UC2\/FSXUid8B7OU04LrIq1l6fOEm6ssouKTHFQWmV4HQFZJ10f6QelvJt06p6xgwhYJUDpPDyssJClIs9qG2qitLM8OoSTmJKrZG68gxHVZ0YcUZ15n0VZBv8Rvc8APIXU4dLgHldJb+TTGfYmHb4PCESz0wcyVigCF650bRhDNgknec94oA0NAWL\/bkLp1VECbr3losBg8JADdd3oFh53iercvlJOJ9VC4Eqn6WUwHktIpy2AyWl8p7HwZEbP1kHboo\/tBiHgYpMKyY3KiUZ8BUdORjPkuR8arvDsascp8g5YwFTk2eyj2X2ZbYX3CYASIv4ZPCHCG4DXT6xxDuHJcJGUpXPneBO5gaONSt2yMnCu+XWzoeRbML7d\/WGLHdUA1XGBt5VHQEIBm7g1NMgaEF0HMquV7tje6h8CCoZMvTtssZ0JSZbqXkxHUCnGIaeO6nGdgjts2xa4lsSphO8vIR6+IIuilnTzhEHMyo5qB1oMgP8OOyEtmv3cu3hoYL1lNFNw3EmuwmPXnOkzUqD\/PVel6utogPTRuuFn1HV2DifkQUR6Or7EYhnk7rY117mi5xwZQZp6cRbDyHIKVB2WM7fz47ZALVR\/OSwL1JiBrQ9rZh0GZLbBPlXGAYAdGaMOo4TnyXKAu+90tfqhkJtuJahJE3xuAevSBkOoldW8yjmMbFsDYgXYBG0F4l7GtiDbE2Xk9ncFo6gOFSIp6cuzwCk2V5McWHipT7WgNK0ZCpbJ7GqAn+gQsYrbN0+Me0XxZLQt2ZM+ojZdtPopueT+qdmmIO6qxcpjjUgU7PnL5GSiB0+RrDDLJkMRVzEtxxOmKu9\/ROy1wUAQOUWcgSS6zLnAUgHB2xMQWmZToAezqKYBBJgDgdKUAbP\/leaLC\/fArMWXkCQ6yJ3\/gxBRRbVYD3HgcKm2HdjrnkG8WsKN8ZBnVEzGRoliY9nWNqbHl\/y1n2Kfrog4EOwvrOVnlYXyteEB9n3ase7dWHW4MIyyUXHuWLGcqt9tFMJ9+oUVZQwfO95ABMZc2jGnAXcEsbQ+VtH7IrLbOkMGAu5Ap7TWJmcrtgVqg+KwUqWKiuLkGhDuvx4xkcyAE7FS+IH\/BcJTSZfo2wbc4XQJ9U+YHN1IsQBIOZJ73d0sF2OVfpEqKF54bp6Zx0iIj7DAtQZN6GzhAaIztlTwd0LmE6uRoreFO+UDpnMLEj9pNhi9uCLIrFXOd6QEpfqbaoj88UkyeoEEYxvqJYMAYwmVuMx6yAm05DdXiojoEp5A09DX2JmJipdQkKQyUuWWxd2m7rKeqqZ1h2WfX0Ohp+dfQ5gIIWdISxGC\/rEwin7XuavQhO6hJ8znLUU2Uu5E6T7rsEtmJRLCdrD0AZKaYEytgZpSsxU9sgNulQl1o0wFIYAaottlGBTyNDsq2xtHRg01lpFGW1J0q9mqyyc5Scb85YgkUrHd\/hW7Hquuzv9i0B5wIp04vFL6HTiJ3ABHJIufIBi0jLy907CAszaYIf+TMl7ZTeJw9jwLAto\/RkFNn+GTGyro4AmYL4SOxBgR+gAEJ6eqfWWWIyql2KF9szGIjON0rnDyA5cxqguEjq17AZJ6euIfsHvS65nab1XcppEHzqOY0hGuWHx5DY8hql3hueC9yb2gQkU5VXtXfyXd6o5csL5s3I1ivHfMqKRVBhUO8gp5j3gSLKl4bQ+rll8QZbOlkEiHrZei0UKG+B4CI2fkfUMLGwqODRyRVJXnEkJ65WwxR1jgU5ihNfPLdBzC0\/DjgY8SXbbDnEsodhPNvGDDPwERrdy9dLkgG+lVP3cwH63pscNjIpjOjd53oiOxsLYjIfZTsqFiP7Qd6he15TgmBvmLYcK4cHHpkLNTZ0xNjQTW6LMaEyblzr3uJhoBxcqO3CmjB\/4fgBRObyWbKTDCbzOYJDepbzkRLx9GRZpVfhgscHabqoW456uUAxIPTnUsUX4eNntp8EYOVIrYk6QBPV2A+W8WOUMOZL+SNYYeAvGI0IqeU8ONKnF7szEjKYrNeKhGdOhoodvoHIjipF2jM5AmHd06OJLUNDW2skhU1Fip2xBKY6mEvmPR2uF6bTXLBy5izcXSxfrNjOoyib6ZcQ5umULAb+8kRojxkjVuZSqAlNDOMu1I8EI+f4DoxAJkDymLJhVe98BYndKU5MHTohfHQCBjblnJ1+xlRIeJTi+JAKtv\/QINbjk9HavF8K2g4KqTqIB821qCc4QgKTY2+olDHi6eZ67FwKnKzcIMzVuRHajCtfe66JDapLhhpGemNbGgG9kJMc0m\/7taaDGGBwku4+yvGgVUtysMXEqgFGR4dnqpVLLkxmNNK7grK\/VP2sDdpUw1G2rE7OxaS+sPgWX9+3gkpWM8Qq+okAm4nyehw9UU+H+dWk\/4Z4AARNpzJB\/8wmsZ+AksanwmWeT784xw2p3CEODmPqXcJiY7BtkI\/fBOMMFTZAeeMefokgodOX6plNYhh0WLZNF6McI35uggfO2BhsOgr8BVTbrTlYrNrXzEEvoTqEDyGtRyPxU9nq5TWFBBiYviQ2\/WDloJYAvUJMigtnlTN98EoCsNhwpGrn1tTzfb5BgE3H8ma+kiglogCjn+msuo\/CBFKmgCBB4oBnKaNxg0xRsXsHu8Mp6B82iV4LJqu1r6JtyxToIP6qdxrH4OAvS2mo\/kJYAKty4BKITzjK2YOiEVOWksZeqFRYCZN\/0nR1P4FdMDzyry2pt4QfTiHq5HpZcwnEjnSCwkgrFMPFUJp5ZUaymqDhpFIfNu4fYAWS0DKt2DDUpuM0cIyGmcnThg0k1RcyPTsJBZOfRgnxbJvpzBoEmLy7dOYRHtrdhSeH6W3uhcQ44HMdJlJeEUx2djozCvNKBsco9RFlPEwAdJyOl1AdqbE9P75\/eoMjU310Bk17qKZpDz2F0UEndKBiHJRu9ixWtHZymD5LiKy2zp\/oQqGUL4mOSrwAuCAO5cwotC27Ak+AgXgBVTeJWXjyoBMseXaXcquicqOadNFcFo81C\/0sij4D62n9yWEDZ\/EEn3PgDvMjBrBXP9euAnfhiqcz1TvTrM2KwBMmwii\/qRydGOgFaWNmEtlTGT1taGChhhuXOEthOVT9ZO3+QJzRVRydkVE2s6O048lyE\/zO5AvQIkazAKaNCkyWC30Dpau1x0q5s9Jz3gjeS2xiiMrQmVmOX+TaO8xRFLc7V9zE3uCm8B1Khj7T6Bt+d6fpVS2\/mpHzUDJyIqbsr22rzlyfAeQAI2jbHh0RSWdXdIiT6R2wVZkCG3VOzmtjEiQq4Ck\/Ynl0Hctbb7uERtUlv9q+We3oXbi9OLG8x0isCzr7LrQkN73U6HKygZxoLG9yDwNc3U6dXj6aR2tCeRXjurTYizOXd0XLAcRmcAhseQkhp4ex2PX8Zgl5+zt0r\/MoCqqC9ixOHmVQtiVcWZ1Q3tVXMNf2NYuuremT915wCS71aeU4gO5EVHphWLc4LX7m5F1nIAWmgn4o22K7tvd6Jtc771mFnpLkNw5KJokKAz4wV5C\/HLofk0qwbl8d2cNwW1nm2rmJzUHvvXNdMX6buVIcKT2wSrEuJYwkjxtB60GoNT4xEKexXB2W66adyGG1vZ+p5ZfbWfBpbmdq+fV2BpDnYaYOtzNj5vrFp4zVc12einNHT0Gep1f6cnPgp5LH3\/gh8+JD3sd5lq5swF\/xKTd3L3cVYJ74qQzzyA\/ZuX9lfNDSQpu54afMPL\/8VDLYAXWly6zMK7MKziGtqSsTygBhDi8\/ZWMhuwGaID6l5+HlxfKu0CKG7iFzxt6H1UY42uI5ZWnNmU2cO0mv\/K34lW+Z3rWHP0P7SfQz0hswIr91nD6h93H0MtBMPy29KzXTO1MNvSOXP5o\/FcjHkNzP9EpUfi0qvhKbf4Yq05sf8BPpv9T+m9ufeJfv\/XSU1R\/pnXEcrhe5gQkP5dR0Kwet8xsiLQ0+08fTO0zLT5xklsnyxJkATBAmCr4J18tPS284yvTOL351ZaZXW2j5lNdcGPlY+eB72rz8DL1PbD\/8b6af+OaP\/sfRSzMSHX\/PItu1uW2swt8cn+4X79\/crZ4W7+9WT2q5ro\/H29n2S\/Xpc7Wp99Vpt1sfZ+qwWze3s\/vD7nE\/U\/VhVVfr+mOzvp39XO\/V06r5ReQjP\/W4up2dDo\/NTD2s7u6a7eL9x8fTabdVp6\/75nbGf3RP1MsTvqFjt6lW22Hr\/7XbbdRqO1u8Pz7dUz\/\/sPtyOyPx6ZRxcjf3Uvr8tFs+HuuPOOBP9frYzAq\/44tGjPJP4Lo9gJEpBeaBvxNy8ACvHvXu8TQxbPz2Vxv3D4\/x0Byb0Sj\/iF+p00PDC\/irjRVfd1onfvEkNjK3lZ\/HAcmdck\/uYWo6F1jxuKzXzQUemxheYbvjvt62D+0eT7czbmih1efN+zd4efF+tXj\/ZlV63p9vgd3TbNiGfLn482G3Xy3rtVp+Xa5320Y1T832pLZNfVCgVlvMPLhR693xqJyZa\/W4XZ2O79\/sL\/R1PJT1WT01t7P9br06NRNdH5r6bragdia37Lq5b7Z4x+N6eLG9sF5NXahOs8XvdvXxVK\/VU71+bN6\/Wa\/wZqHj4JHPzdfBC2kW71cTC0GU\/bD7pTme1EQjy93j9jSaIX33ttGzhfWuLFH5ce14zCvj+cbBwGxhUvzewdiXBvPz6u5u3XzjeMxsYeC7x+NeGs8\/r+4fvnE0drYA892j8a+N5tt5x80WWU+N583j+sVd8epoH16k3T\/Wm\/q+wY2PQpWFQY0SdnVUh+b0eNiqfXNY7e6+lUir7Wf54\/hQo5wnK++FkfzXbtvcqOPqublTH7+q+qk54Mjq7faxXpNEOqcLyyT599gsTyuUx\/LLcHD7etusZxPihy5UDyygqKUHN3XHaXVCKfzTcvm4eVzX1AO+ouv4\/s2DOxOM\/Mzx8eNs8efdXp2a7YVJvVPHZt0sTwqF8WmnPq22d2qFf9KKbOp9T\/pe0DQn1Gq\/HOp9x1uoE\/kVYsfZ4j3dMPFMd\/+JFSM\/MFC55xNWh3r7+eIqYXdIzcX70wF\/VcflDtd\/uWsd0t36dlaspuPucLqdbfFdZ68YBnLnjDilp31PDy9003yRv7aPm4Hy\/dZ+my+zxb+zhrmu57pe\/0pdY0uLn376cG3P+82v1TO2tChmwbXdf5xNCYfjYbb4Y4Ns9NTQLm93Mzb2BnnlTeGbj7u7r8g+7Wg+N1+ZN9\/qmTrVH1fbuwbtvWLkH3a\/lBnSZmruio0nTdzOfl8fT+qn46pG\/rybGiFy9WwBMq4\/16t9g8Kqqd8fN\/V6vWhbeP+Gv3j\/Bhs63Z3RmsXe0+3M67m3weusIUdtIMwWHl5\/TM9Dchm8cybF4A2k2QK\/e\/1JA3OdvdE+gNfZgLGoduejPj\/Wh8GTy9KpF4t6QJfVx\/owGxrZGGcL1xnZao9m\/OGp+em4b5anP6IcaVnwgIKv+PSnQ738PFO8rl\/p319Wd6cHhAD0TD00q\/uH0+0McZ8vtzOCHwbP0zDpj8+3s9XHYTrft7Qq5j1SjPhykhHt9zLiT5vmsFrWx1f40Agf\/ryqNwM2LM9fz4U2zCHoZL3LWmsTw2xhwzVc6H0IEJK1yYEP+Jye+yuehDCPRrsEQeuYPRpbYR6v4kHv498SDyaC8b6bCd1vLQ2tcOGfmt3j+geFoUlzbbNNEaL3GUx26KJcxYfGOm8dOK9TjDkSH5or+NDOo80GrIdgrQ0uzhb43XWciLLzb4cTY0Bs\/Ls5Eb6XE\/+0ezw9ECfdqH96XH96hSGLe\/3z4+ZjPZCL44auZ0xn5zZl61zMPvoUopstnL2GMU1G0QhGG7DBhuyRM01+\/dE8zyEkHbx3OodgzWwBeq6vYkzaOH87jOkwqvEDjBl+axnphSX\/4fFYb39QRoKbR6+9jmB9yjF6ZAx\/FSv65F0OPjgfbADLrHiFsnbzmLQFl7T21kfUv26eruNEn\/+WONFGjH59NyfG35oRQ1HWD\/X2\/qH+UefF+LnWVttkAKLNgAjedaxovQarTbZBZ+sd2Y3Gvf5omLtsg9UxZgshmDhbhLm\/jhXt35TvYt0P2Y3wm\/NiwVb\/vPv8dffjQtEni8afiyZDzFfLRDDWhJC9twYgW2bEKxxwP3fe5+S9BwBnjZkt\/LWMiPvkb4gR4QfY0P\/WXJhaidhsnx+aH9XOJs69y1GjfEsmorl3nQMD0Rkfcsg2eZ1SIkaEeI1E1DHlAMEHAzkYFIjXgTkQ\/6asRON\/zH0x3+2\/\/F58jn9bNvX2VY7MwpH\/q\/5cH071wIEZtfQNAjIgbhKSN8HbmJ33s8U13KXn4HOyYLRPGXw2QK41XGU12gQ6OGu89iaajFaju44zg\/6b4kz7Q6ra\/MY4I5So4782v6j\/3B0+\/xjW6GCenYGgTTBBGwN+tnDmKlZ0AaIOyYdkdAqeMO9r9Lydh6TBh2wQG0KX5FqIB9A0\/RvixKvBxjcSgnlDYcHzCOuljJcTTug3DsD+\/suyae7q7bJRy8fDU\/NK+HWUSvP48W2zny3+bbl8PBwabIRyXer7erU9noYh7xv1y+r0QGHYu+a4ut+q\/WF3f6g3m+b1mOzyoT6cxvFY7Pqc345P9yN2cwFfnuk7DCT0+IEusBhYbe6HwdoPOJlmRKHL05hi34G0meTlLz+v7v7z59Wd2jRNb4o0Y5pj+9WX4+1svbu\/MTegtb5x4ca50F3+ipdX2xt9k\/SNcf7G6N6zn25nh15bx+awao63s5\/Wa1qf9fGvq+3nv67\/Cn81b2FuvItOo+DIPlkb3tm3Zp6TjSlpZ7WJ2cV3\/q2fZ52yySG6ECHl+C6+TfPgonM26wyQknfvQL8FmPtoPHibXYreJ\/cO\/FsIc5eM0ylaZ02yOrwz+q3R8+hChpzA6+CjTe+Mf2vc3HofTXTR5eRtfGf9W5PmKUSdPeRgUUy+8\/qttXMIxhprsjHG+\/Au+rc2z4ON2ScwOQdnNA5Lv8WsLOdzNsYaDTYH\/w68fuviXOegXYbgsrGA49JvXZp7cChTg\/PZa\/fO4L15bgHhpZAiSmgkltdvg5nnDDo5k0324Pw7r6e+jXivm4OF5HIwLqE5jGOb+Pr\/Hueb\/XUJsmR6HnkEUbukTdKZlgzX0PjkrNE6RkNLZl3I2UAIPpvoDC0ZWJPAg9YuZZtAlswBgAnR+piid+HFJbM2JECgwWBkwf7\/SyZL9vv6cHr4y2P9ufnr0rSLpSF6GyAZwFvBWffOvtVznI4GyClpcCHm9M6\/xSChccl7HWzWPnr\/Lr6FuY7eI\/28DilmHWjJ5sGFGEPwLnsEHzMumZkH48GZGMA6F3LEFbNzpF80gE49GO08rpidB5PB5QjJ4Zobj0vm5lHb5GzKLuSkfcYl8\/PsyTDJMaYQksUlC\/Pojc06OJMyemm0YnFuUswkOELCbmnB8hyM8yY4HYMFGyMtGGCoKFsbbTIOo\/28YqDnKWpIMejkkWa8YmDm1kJ0OcQUExoutGRg5xZM8MGDjhEAaMnAzzXyrDagA7qdhtfs\/PvZmWmwvetsA\/yrOrSyurxzsW9rruuvzeEt3fMF9Q2ZDpAiWgxFCfWNEh85PfbUfBn2Soqo1\/W6Ko16R40arecWc0FOzRathPdvsI3Xx7+G0eHJ58PHW3qjN1SDMTX6oLm+4orRS5syeLB5nmeLD9idgquHbkZnC00M3QyGrj1WP0wN3UjlxTVDN4OhQ5qnMnRz7dBPu\/2oQu587HRPN3ijp0eePBfdXDHy0qIM3drZ4qePu6eGjJieEcZzuG9bq79Qutt6te2qS+4Pq7uZ+gI8vi9Gxgk80K\/mdmbcOTOcVmKal0n5PFN4R1Vvlw+7w+1sQ1mwlKjBw7jQK2jP3dIvV\/fLd7\/UsX+tY0dFUtQ1\/3p953L\/S92j4\/hi\/0an0r\/8enX\/5f4X6f7a\/I23WBhF\/fOv1\/cv979I\/lfnnyNuYuqff72+f7n\/Zfq\/NgDrQxmA\/Hr1AMr9Ly\/AawNwGhCVoz3Hv16\/7eT+l1fg1QG0W\/7b9vyrmx5u9IXO6y+r40jctH07f7lzEYL93qMf9U45338cuqhfm\/pwLCN5c\/8d0vCq4fUWhgeHdurU8F5dknG3kBKxmim\/vtY1ZINWyXnX5tv7tmYuk+ZfX+3bhqme3Tf3HAPOATum317rN2LB6kTH4Zs7bjeAfn2N7fQSp7bTSxxcrJjR08cTYiILBCluSmVRx7iDAk+cTmcSrKu6X87MtQVYkxVujIO5\/xDNHG6MDfPwAbS\/MSbN3Qc0AMONQe\/8A2m0GwNm7j9A9PN4Aznh3dnNzQ0kfJK0zg3EMPcfsGzY3ECw8\/SBtMENeJjHDybmub0Ba\/EelNI3VBT7wRo7zzdA7Vtn5u4GsLUPJEhvQIe5\/WBjmrubEOfpA4k3+RWjSjfBzcMH5wL9clbuOqbG8uuyo8ayGMZ39fFhAHP+cjs7PWB9YksrM0+FVmlumFZWt5Qyc+hRKk9SCsf8\/x1KNX\/pEcpcT6jCUlj8zGRytmMpZwqZnMZviUzGxpZMxvp5FjIZ65A0RCZjoSUTMqkVMhkThEjGOCQMEclARmIQkQz4uRMiGSwqFyIZ0HMrVDIaR8BkMtrMI9GJfkNCdZphUx8+Nz3weFMdemZ+vVzO1OlQb4+fdgfGqbfHdX1q\/o6HqP++aBWUMJoFjBaJGi7rkE0nIUTDmWkB0VUcdNJhVDN+tzt1w99Xy8fDaPzLzowalq47FvMdMZYHrFpRBdbnn5dnOLIgcGwDJ+phdbrGGzLGv1rMfFweHks1RVsVdn7XenWHi8mQcPlrAOO2GCpd7OGqx1OzxxjAqMi2Z2HIJSqu3Ky21Fzvm\/rL7Sz1v9nufrmduf43uIa3s7KmUwC4BEKuq9kdKLpDvVrP+osEWv+PIScCCYnBU0f2L\/GpOd1PyzvvHjV9HXnhURRg5dny+9UPU27V\/yjOyTf2bGPXc\/n96od9b8r+W+ccenMO3zrn2Jtz\/NY5p96c07fOGXRv0u0fLz3+6XOFJ6gUNuwx2IBmAxbrSyhk6ofHzcfSAB0PIk+SOOLTS+JYBJxHaZ\/aMrISwzrsK9xSfTHJkuH8YbTojrPJikt6xPcf7ULB\/KcZXvV6dPPo7vHfo\/v96Lp4UMOC1\/+ThZx\/OOw+Ulnkpv6y2jxupMT05VrO\/wuNViyQPZ7q7V19uBtGDLtqzloddr\/8QOUmVd5dX7dJJX99GT45uxcGflNig2SWX1nDedh\/Z13hYT\/yY6+tLdy10cUfLW3cDcPAV1d1\/moDwJYWP93fH5r7+nR1\/53l\/6P9Y0uL33FU7upq2r\/8WtW0f5kt\/jeGmEY9X1MHeth\/c7VJlwlC6VK6lZ2S57J8oGi5nrNUuzbt6ixEPFsAzMNVhUlgXbQag08YNqa6JLiqy1GIk7q8Irf6PNI2W7RjnUw\/Ouy\/OfloSGfjhc7Gj+ms3TfQ+SwqO1sYd82cjZtnyNZHHVOyIeVAT+bfsMvzeCSmI71CZvtDZPaFnf0ZO2vzDWQ+C2nPFtbOr8jdsn4OJmGwFVzwIVo8B+Uabv7uHs9CuZgXq18m8jfXStK3rB9Ow+yxx0NrRg3liu4ZZeOlgG9YivOMAcyiG9eHXahlw+QD5zBXwWesHHdXSZbv7\/IsWD5bxLl9eTH8jwmWltBmgtDafwOhx9kWswV+dVVlf3KAqR7ZZBcdVgjoefoNezzPM6CaQf8yocMPSvCW0BPCRbtvIPRZAstsgd9dQWmYWyooyj5EiBbnjd\/9ln2eJ28QrfPLtI4\/KMY7OT5Ba3M9rc\/yf2aLYK\/Zyf\/nHzzLeyFD6BXhkX7Q+uvENPmgZ6SGbyD1OHtqtsCv\/t\/44FTSEH73zWm\/F1xZjjlRd+v6KyEVD\/X6iUKQv6kjzxktHx8P29e8938cpb8qPEyw5vMERZ3cUKp3vb1Diad2wzTh5vgDHj0O8Ftcerp\/4NP\/\/sue+Lp\/2hIewkRZOGr3aTrF9zpXfv2djtxa6H\/12UT1r3U0UT1b\/HQ61csHXJUrO29+rc4pD\/2hfjyeru68+bUOZcJN07ECJQBcO4bjwwyrgw8NcgudKHWt093LD\/xm2YuHvg0jFr8MMxEvnAjXpQiyONZzjSekGT33JXp8rZzWs8VP61\/qr8cr5GSexxyysRFTPaMlr56Fw1XF9DakCAEr6gGSwbKoeF1dVIr\/TQ8cMdNH38TvrYvqkj1\/ZVa0F1mxJHwyvxEHnnaDE1KvBo1+hL0ywj9a6+gjVivgCTX0bL7qUDEfUwJnAABP3zFUYOWvO+kB9H\/TY5nshVa\/96SHLpv3V+ZN9wpvGuFN4knkzfztUvJH2MvgWXdaW\/ofpsm3juNVvKkDWCzm0BrAJKP5sDEdruJOjX7D39DBdXP4EeaksOivy50PlyXnVN4282NNV76HT3+I15DB+X+zxfZNfRVzuoSlLdknlyLqdeLN686D0Pq\/5xk5D9OSU197WNNrvuZve4jv+bG16EgdmnsqSHnZi\/zTfr064e1UhfidlaD07PXFoBDSdDEoXegVg17JKqMSzsF5vy\/RhjxjHvu47rPM6Nr8Y7AlZcdKZpWTbArnXqhMsJKI69OF1Gzccq9l5huPticl3\/Cv13Zfbn9pAPD6AKwhA4MSePjXawdQbn9pAOb1ATgoecEQru+cb36pazt\/NS2+Xfe2a+zzYue9rOLSe3RTWckTfDuRZNxxJ6m7ItkO1QGdr0HPh65rMFwNApPZ372TZCaLqnoS9GN1sOfZuz2+dr1qfcqw7zb6y7KZWh5nuyLDoIIdNQ2mf1gKtzyY+tOoJOsJyUOtBXrFEZNiYeZ0TOL5nEsOJM+pMpcK2UsC5eVV0Vesipvmh\/bsiisWRb+4KLabQPR9r\/WKRdFTi2J0EDHSa3piuV9bFC1CSUuxjnMo\/1K+YlFM+P5FMVcsSjRTi3J+SOcVi2NeXJzQO4yK3oT1DYtjphYHU9nNuGn9rUtT2srzlh4LPbf+iqXx7vuXxl0jxbSeXJuz84euWBv34tqkzmox+ptWxk2ujIdxsxY5\/9tWxsnKtIoUPQE5K\/O1pUk\/IMrgmqUxk2U+v3887PbNjfrpE4q0qxYGXlwYgHCZtV9pd2phJpoFgyWc37Y0MkhXqj+BQSq4RssA6NfWpp9p+yOvVFm++O6g8ZEX3\/rmlOWLbwLqTmeYeB3KZKRO3JLmVK\/Wx16\/x0\/Vpjk97HDSx8fNpj58Xfzz7hd+98un1f3joVG\/7A6f0TGXy+\/3i59KhInfFYMRtL8r75JC56Bpx8d3HPn0mWPT3DV36tNud9ofVtvT8e\/V4XF7VLun5qCW\/Tc44ZtP\/tmqZbNeH+eqd1APtl6XfMmzQ26OarnbNOrTYbfpvcqGo3bv5L0lGPh48d0l71StTg+Hpqk4ptZFCvEFVkeFyb9Hip+0\/VDnc\/Uv6\/Xj8XTg11sIhWg6xxu13WE+8GZ316zxDWv7x5PaHVSt9ofVspmTA7lHzXhYNse36l\/r0+OhXitaaPV3+8eP69VS3e029Wr79++UxDCPy2ZbH1Y76QTng6P5p\/XuY71Wf1wdPx\/VT+v1igj0d6ve6Hg8yGx\/PxfnlVljKpi52r\/4rjJirf8H\"><figcaption class=\"nx-fk-cap\"><span>Coastal exposure under cyclone and earthquake zones, beside the loss curve it produces.<\/span><span data-honesty=\"true\">Illustrative design values, not a model output or a price.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gra\/A01\/topics\/climate-and-nature-risk\/#map\" data-nxf-title=\"Insurance Nexus live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"health\" data-variant=\"stack\" 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 and nature risk: how the risk develops.<\/h2><p class=\"nx-lede\">Physical exposure and insurability. 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=\"M12 2v2\"\/><path d=\"m4.93 4.93 1.41 1.41\"\/><path d=\"M20 12h2\"\/><path d=\"m19.07 4.93-1.41 1.41\"\/><path d=\"M15.947 12.65a4 4 0 0 0-5.925-4.128\"\/><path d=\"M3 20a5 5 0 1 1 8.9-4H13a3 3 0 0 1 2 5.24\"\/><path d=\"M11 20v2\"\/><path d=\"M7 19v2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Shifting hazard baselines<\/h3><p class=\"nx-p nx-mt-1\">Warmer air and seas intensify heavy rain, heat, drought, wildfire weather and coastal flooding. Models calibrated on the past record understate risk if the baseline moves faster than they are recalibrated.<\/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=\"M6 22V4a2 2 0 0 1 2-2h8a2 2 0 0 1 2 2v18Z\"\/><path d=\"M6 12H4a2 2 0 0 0-2 2v6a2 2 0 0 0 2 2h2\"\/><path d=\"M18 9h2a2 2 0 0 1 2 2v9a2 2 0 0 1-2 2h-2\"\/><path d=\"M10 6h4\"\/><path d=\"M10 10h4\"\/><path d=\"M10 14h4\"\/><path d=\"M10 18h4\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Exposure growth in hazard zones<\/h3><p class=\"nx-p nx-mt-1\">Development in floodplains, on coasts and at the wildland-urban interface raises insured values where hazard is rising. Exposure growth often contributes more to loss trends than the change in hazard itself.<\/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=\"M7 20h10\"\/><path d=\"M10 20c5.5-2.5.8-6.4 3-10\"\/><path d=\"M9.5 9.4c1.1.8 1.8 2.2 2.3 3.7-2 .4-3.5.4-4.8-.3-1.2-.6-2.3-1.9-3-4.2 2.8-.5 4.4 0 5.5.8z\"\/><path d=\"M14.1 6a7 7 0 0 0-1.1 4c1.9-.1 3.3-.6 4.3-1.4 1-1 1.6-2.3 1.7-4.6-2.7.1-4 1-4.9 2z\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Loss of natural protection<\/h3><p class=\"nx-p nx-mt-1\">Degraded wetlands, reefs, mangroves and forests stop absorbing surge, flood and fire. Nature-related risk also reaches insurers through underwriting and investment exposure to sectors that depend on ecosystems.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><circle cx=\"12\" cy=\"12\" r=\"6\"\/><circle cx=\"12\" cy=\"12\" r=\"2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Insurability thresholds<\/h3><p class=\"nx-p nx-mt-1\">When expected loss and its uncertainty rise, insurers raise prices, narrow terms or withdraw. Residual market plans and public schemes absorb what remains, shifting risk from private to public balance sheets.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" 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\">Physical climate risk<\/td><td data-label=\"Definition\">Financial risk from the direct effects of climate change, both acute events such as storms and floods and chronic shifts such as sea-level rise.<\/td><\/tr><tr><td data-label=\"Term\">Transition risk<\/td><td data-label=\"Definition\">Financial risk from the shift to a lower-carbon economy, through policy, technology, market and reputational change.<\/td><\/tr><tr><td data-label=\"Term\">Climate scenario analysis<\/td><td data-label=\"Definition\">Assessing how a portfolio would perform under a set of plausible climate and policy pathways, rather than forecasting one outcome.<\/td><\/tr><tr><td data-label=\"Term\">Insurability<\/td><td data-label=\"Definition\">Whether a risk can be insured at a premium that is both adequate for the insurer and affordable for the buyer, given its size, frequency and uncertainty.<\/td><\/tr><tr><td data-label=\"Term\">Nature-related risk<\/td><td data-label=\"Definition\">Risk to an organisation from its dependencies and impacts on nature, as the TNFD recommendations frame it.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"climate\" 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\">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\"><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\">Average annual loss under climate scenario<\/td><td data-label=\"Unit\">currency per year<\/td><td data-label=\"Cadence\">per scenario<\/td><td data-label=\"Source type\">Catastrophe model with adjusted hazard<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Change in exceedance probability loss<\/td><td data-label=\"Unit\">percent change against baseline<\/td><td data-label=\"Cadence\">per scenario<\/td><td data-label=\"Source type\">Climate-conditioned catastrophe model<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Insurer-initiated non-renewal rate<\/td><td data-label=\"Unit\">percent of policies not renewed<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Supervisory market conduct data<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Residual market plan policies in force<\/td><td data-label=\"Unit\">policies<\/td><td data-label=\"Cadence\">quarterly<\/td><td data-label=\"Source type\">Plan administrator reports<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Hazard intensity at stated return period<\/td><td data-label=\"Unit\">physical unit per hazard, such as millimetres of rain<\/td><td data-label=\"Cadence\">per scenario<\/td><td data-label=\"Source type\">Climate model ensembles<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Climate stress test capital impact<\/td><td data-label=\"Unit\">change in solvency ratio, percentage points<\/td><td data-label=\"Cadence\">per exercise<\/td><td data-label=\"Source type\">Supervisory stress tests<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Natural buffer extent<\/td><td data-label=\"Unit\">hectares of wetland, mangrove or reef<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Satellite land cover<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gra\/A01\/topics\/climate-and-nature-risk\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"health\" 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 and nature risk 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-a01-topics-climate-and-nature-risk-ngfs-t nx-dag-a01-topics-climate-and-nature-risk-ngfs-d\" data-nx-z=\"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\"><title id=\"nx-dag-a01-topics-climate-and-nature-risk-ngfs-t\">Climate and nature risk: climate scenario analysis pipeline<\/title><desc id=\"nx-dag-a01-topics-climate-and-nature-risk-ngfs-d\">Orderly, disorderly and hot house scenarios supply pathways for carbon prices and macro variables; transition and physical channels change sector and asset outcomes; credit parameters and portfolio losses follow, and results are disclosed with their limits. 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=\"finance\" 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\">Copernicus Climate Data Store (ERA5 and CMIP6 projections)<\/td><td data-label=\"What it gives\">Reanalysis and climate projections for conditioning hazard<\/td><td data-label=\"Licence class\">Free and open, attribution<\/td><\/tr><tr><td data-label=\"Source\">NOAA National Centers for Environmental Information<\/td><td data-label=\"What it gives\">Climate records, extremes and storm data<\/td><td data-label=\"Licence class\">Public domain<\/td><\/tr><tr><td data-label=\"Source\">NGFS climate scenarios<\/td><td data-label=\"What it gives\">Reference transition and physical risk scenarios for supervisors<\/td><td data-label=\"Licence class\">Public, attribution<\/td><\/tr><tr><td data-label=\"Source\">EIOPA climate stress test and sensitivity analysis publications<\/td><td data-label=\"What it gives\">Methods and aggregate results of climate exercises for European insurers<\/td><td data-label=\"Licence class\">Public, EU reuse terms<\/td><\/tr><tr><td data-label=\"Source\">NAIC Climate Risk Disclosure Survey responses<\/td><td data-label=\"What it gives\">Insurer climate disclosures aligned with TCFD in the United States<\/td><td data-label=\"Licence class\">Public<\/td><\/tr><tr><td data-label=\"Source\">Global Mangrove Watch and ESA WorldCover<\/td><td data-label=\"What it gives\">Extent and change of natural buffers from satellite<\/td><td data-label=\"Licence class\">Free and open, attribution<\/td><\/tr><tr><td data-label=\"Source\">Gallagher Re Natural Catastrophe and Climate Report<\/td><td data-label=\"What it gives\">Annual review of catastrophe losses and their climate drivers<\/td><td data-label=\"Licence class\">Proprietary, published report free to read<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gra\/A01\/topics\/climate-and-nature-risk\/#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-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\">Insurance Nexus 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\">Insurers and reinsurers<\/td><td data-label=\"The question\">How climate change affects underwriting appetite, pricing, reinsurance and capital over the planning horizon<\/td><td data-label=\"Evidence this page serves\">Climate-conditioned exceedance curves, ORSA scenario analysis and sensitivity to hazard and exposure assumptions<\/td><\/tr><tr><td data-label=\"Who decides\">Insurance supervisors and central banks<\/td><td data-label=\"The question\">How to design climate stress tests and supervisory expectations<\/td><td data-label=\"Evidence this page serves\">Scenario sets, sector exposure and the methods in EIOPA, IAIS and NGFS guidance<\/td><\/tr><tr><td data-label=\"Who decides\">Governments and residual market plans<\/td><td data-label=\"The question\">How to respond to withdrawal: subsidies, mandates, building codes, managed retreat or public reinsurance<\/td><td data-label=\"Evidence this page serves\">Availability, affordability and loss evidence by area, with the cost of each response<\/td><\/tr><tr><td data-label=\"Who decides\">Planning and environmental authorities<\/td><td data-label=\"The question\">Where restoring natural buffers or limiting development reduces long-term risk<\/td><td data-label=\"Evidence this page serves\">Hazard reduction from natural buffers and exposure growth by zone<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Guide to conditioning catastrophe models on climate scenarios with the uncertainty stated<\/li><li>Brief on insurability thresholds and the shift of risk to public schemes<\/li><li>Method note on nature-related exposure in underwriting and investments<\/li><li>Evidence-to-diligence checklist for climate scenario analysis in the ORSA<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"health\" 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 professionals ask.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>How is climate change altering the frequency and severity of insured perils?<\/li><li>Where could rising risk make cover unaffordable or unavailable?<\/li><li>How can risk reduction and adaptation keep risks insurable?<\/li><li>How does nature loss affect exposure, for example through degraded wetlands, reefs and forests?<\/li><li>How should forward-looking climate information be used alongside historical data?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Drivers and dynamics.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Climate science has established that warming increases the likelihood of some extremes, such as heatwaves and heavy rainfall, and raises sea levels, increasing coastal flood risk. Attribution of specific events and trends varies by hazard and region, and natural variability remains large. For insurers, the consequence is that historical loss data increasingly understates current and future risk for some perils.<\/p><p class=\"nx-p\">Insurability depends on whether risk can be estimated and priced at a level buyers can afford. In some areas, rising risk is already leading to higher premiums, reduced cover or market withdrawal. Ecosystems such as mangroves, reefs and wetlands reduce hazard impacts, so their loss increases exposure, while nature-based solutions can reduce it. Risk reduction, through building standards, land-use planning and defences, is essential to maintaining insurability.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-limits\" 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 limits<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">How it is studied.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Climate-conditioned models<\/h3><p class=\"nx-p nx-mt-1\">Adjusting catastrophe models with climate projections from <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/climate-science\/\">climate and atmospheric science<\/a>.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Scenario analysis<\/h3><p class=\"nx-p nx-mt-1\">Exploring insurability under different warming and adaptation pathways.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Nature-risk assessment<\/h3><p class=\"nx-p nx-mt-1\">Assessing how ecosystem condition affects hazard and exposure, drawing on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/\" target=\"_blank\" rel=\"noopener\">Biodiversity Nexus at The Global Centre for Risk and Innovation (GCRI)<\/a>.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Limits<\/h3><p class=\"nx-p nx-mt-1\">Climate projections are uncertain at local scales, adaptation responses are hard to predict, and links between nature and losses are still being quantified.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"health\" 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:\/\/globalriskalliance.com\/insurance-nexus\/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\">Climate-conditioned hazard catalogues \u00b7 Supervisory climate stress scenarios<\/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\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/extreme-value\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Extreme value theory and tail risk<\/span><span class=\"nx-mledger-role\">Large-loss pricing for excess layers \u00b7 Tail measures for solvency capital<\/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\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/actuarial-math\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Actuarial mathematics<\/span><span class=\"nx-mledger-role\">Loss reserving with development triangles \u00b7 Experience rating and credibility<\/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\/actuarial-math\/\" aria-label=\"Actuarial mathematics: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/ai-ml\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Artificial intelligence and machine learning<\/span><span class=\"nx-mledger-role\">Exposure enrichment from imagery \u00b7 Fraud and claims triage \u00b7 Fairness testing of pricing models<\/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\/ai-ml\/\" aria-label=\"Artificial intelligence and machine learning: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">05<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Frequency and severity modelling \u00b7 Bayesian updating of assumptions<\/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\/probability-statistics\/\" aria-label=\"Probability and statistics: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">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\">Climate projections carry wide uncertainty for local extremes, and translating them into catastrophe model hazard adds further assumptions. Exposure and vulnerability change alongside hazard, so the attribution of loss trends is contested. Metrics for nature-related risk are still being developed. Insurance Nexus explains how scenarios and models are used; it does not forecast losses, judge the insurability of any place or advise on investment or underwriting.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-14-sec\" class=\"nx-section\" data-hue=\"finance\" 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>Can catastrophe models include climate change?<\/summary><div class=\"nx-answer\">Yes, by conditioning hazard catalogues on current or projected climate, but each method adds assumptions. Results should be shown as scenarios with their uncertainty, not as forecasts.<\/div><\/details><details><summary>How do TCFD and IFRS S2 relate?<\/summary><div class=\"nx-answer\">The TCFD recommendations set the structure of climate disclosure. IFRS S2 from the ISSB builds on them as a disclosure standard that jurisdictions can adopt, with more specific requirements.<\/div><\/details><details><summary>What makes a risk uninsurable?<\/summary><div class=\"nx-answer\">Commonly cited conditions are expected loss too high for an affordable premium, uncertainty too wide to price, losses too correlated to pool, or adverse selection and moral hazard too strong to control.<\/div><\/details><details><summary>What do IFRS S2 and the TNFD recommendations ask insurers to disclose?<\/summary><div class=\"nx-answer\">IFRS S2 asks for climate-related risks and opportunities, including scenario analysis and, for financial firms, financed emissions. The TNFD recommendations ask for nature-related dependencies, impacts, risks and opportunities in a similar governance, strategy, risk and metrics structure.<\/div><\/details><details><summary>Is climate change making all hazards worse?<\/summary><div class=\"nx-answer\">No. Effects differ by hazard and region. Some extremes are clearly increasing; for others, evidence is mixed.<\/div><\/details><details><summary>Can risks become uninsurable?<\/summary><div class=\"nx-answer\">Where risk rises beyond what buyers can afford or insurers can estimate, cover can become unavailable. Risk reduction helps prevent this.<\/div><\/details><details><summary>Does GRA advise on climate risk disclosure?<\/summary><div class=\"nx-answer\">No. It provides shared sector-level evidence, not advice to firms.<\/div><\/details><details><summary>Does GRA give advice on this topic?<\/summary><div class=\"nx-answer\">No. GRA does not underwrite, sell, solicit, negotiate, place or broker insurance, and it does not rate, advise on or arrange transactions. Readiness work is not approval. Its analysis is shared, sector-level understanding.<\/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 Insurance Nexus.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/topics\/insurance-market-structure\/\">Insurance market structure <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:\/\/globalriskalliance.com\/insurance-nexus\/topics\/underwriting-and-pricing-risk\/\">Underwriting and pricing risk <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:\/\/globalriskalliance.com\/insurance-nexus\/topics\/property-and-casualty\/\">Property and casualty <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:\/\/globalriskalliance.com\/insurance-nexus\/topics\/health-and-life-insurance\/\">Health and life insurance <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:\/\/globalriskalliance.com\/insurance-nexus\/topics\/claims-and-operational-resilience\/\">Claims and operational resilience <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:\/\/globalriskalliance.com\/insurance-nexus\/topics\/insurance-protection-gaps\/\">Insurance protection gaps <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:\/\/globalriskalliance.com\/insurance-nexus\/\">Insurance Nexus 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:\/\/globalriskalliance.com\/insurance-nexus\/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:\/\/globalriskalliance.com\/\">The Global Risks Alliance 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:\/\/globalriskalliance.com\/trust\/\">GRA 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\">Insurance Nexus<\/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@globalriskalliance.com?subject=Insurance%20Nexus%3A%20Climate%20and%20nature%20risk\">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:\/\/globalriskalliance.com\/insurance-nexus\/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:\/\/globalriskalliance.com\/insurance-nexus\/topics\/climate-and-nature-risk\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskalliance.com\/insurance-nexus\/topics\/climate-and-nature-risk\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Can catastrophe models include climate change?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Yes, by conditioning hazard catalogues on current or projected climate, but each method adds assumptions. 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