20191002 13442000 1.0 TRUE Map Temperature Climate warming Predicted increase of temperatures based on running 10 various models by 2050. /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+gAo AKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgA oAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAGO6xqWchVHUmhuw0m3ZEX261/57p/31U88e5X sp9g+3Wv/PdP++qOePcPZT7B9utf+e6f99Uc8e4eyn2D7da/890/76o549w9lPsH261/57p/31Rz x7h7KfYPt1r/AM90/wC+qOePcPZT7B9utf8Anun/AH1Rzx7h7KfYPt1r/wA90/76o549w9lPsH26 1/57p/31Rzx7h7KfYPt1r/z3T/vqjnj3D2U+wfbrX/nun/fVHPHuHsp9g+3Wv/PdP++qOePcPZT7 B9utf+e6f99Uc8e4eyn2D7da/wDPdP8Avqjnj3D2U+wfbrX/AJ7p/wB9Uc8e4eyn2D7da/8APdP+ +qOePcPZT7B9utf+e6f99Uc8e4eyn2D7da/890/76o549w9lPsH261/57p/31Rzx7h7KfYPt1r/z 3T/vqjnj3D2U+wfbbb/nvH/31RzR7h7KfYmBBAIOQaojYdQAUAYPi+TyvCl8/oq/+hCsMV/CZ25b /vUP66HjiaiWOBz+FeLY+ysW4bhnbaV/EUhFkKWOAM0hNpbiNlTgqa1VJtXOeWKgnYjMuDjaaqNG +7M54q3wosW4SV8HgVboxSucrxlbmsaEWmo82Gfav55qOWFh/Wq9/I04vDcUqBklJHtSUF2MpY6p 3Cfw3HFGX83aB1LU1BdhfXqnczYNJe4chFyucBvWlOCTsjenjZON5M0B4XYrktg+lT7NieYlGfQL uNiEhJA75qvZq25Ucwu9ilJp11F9+MismjtjiIS2ZC1vKvUAZ9auMUyZVrbNCCF++B9aTj2KVaNt RwgJ7gn2o5e5Lrq3u7gYHHbim4LoyViWvjQ0xMBnHFTyO9jVV6dr3IJlnTlV4+lNRbG60Fuys086 nB4/Ck1Y0i1JXRGb2VHXgnnsKEhtaHuWmNu0uzb1hQ/oK96n8CPhq/8AFl6su1ZkFAGT4itjd6Dd QDq4H8xWOI/hs6cHLlrRZ55FoH2cgvGMZ5JFeTFI96ripNaM1YNLhlOEtsgd8Yo5Gc8sS0T/ANl2 iybCm18dD3ocWkT9Ybe4yTRbdjkDB9aOZj9prcz7nRAgLKCaOZm0akbFE2LxnjHPanzdB6PW5paf alrlVlJRe59TRpJGM5OGx00GnPatI0PziTnr0NdCptpHnSqq7bLT6Ys8e2diwPbtWioNakOqRxaY sA+ZhtHYDFTKgkylXk0LNPHHbF4l384+lTKKWgRk3qYtxclhuB35xx1FZanRFIruhcg52r3Ws+bu dKjbYiltIShLD8c0k+iKbtqMOmxMOSaOaxXM3uSR2EQGEXn2qXqV7RoebJV65AosHtbii2ixjZmg TkyGW3gRecA09WCnqV5LW3k+6gPHPFCV+pXtXHcjGiGUB0gUZ9cU7WY/rOh6VYoY7C3Q9VjUfpXt w+FHzdR3m2WaokKAK16u+zkX1H9axr/w2a0XaaMJbZc5bmvLSPQciYAKMAYpkDJoUmXDDnsR1FNO wiqF2ooLbjjk1ErX0NottajghYcc+1TYdyKS3QkO6fd709Q5hBZz3DgxgCM9c8VrCBnOoatss9si xN84HGa1jKUXoYOMZK7L24Yrq51Y5+Vkc7KYm3A7e9ZyncqMTFKqhcgMwJyFPpXNKV9joirblbfF lgybMe1ZOLOiMkiAgkZA+Q9+9LkRoqr7Ciz8xCC7YpbbBz33JBbbQBuFSXzj1jaP7uDQJyTJEU7f mHJpkN6jyiqOcAntT5XYnnV7FW7t/NjGI8Eng+tVGIvaWHwaftUbk5qUrbGk6vMXEtzkZwBTSMnN HSQjECD/AGRXsw+FHly+JklUSFAFe8/49nrKv/DZpS+NGWkZfnOB615sY3OxysI6qp4bNEklsCbY 2pKIruBgizRDI/iFaShzK5MZ8rsRRgg5xznislHuaylpoOkk5VXwQeuKtLsZNlhTwAv6UtRliIOv LNgehrWCa3M5WexKHUnAIzV8yIsyte3ARDGOWYflUTnyounByZlhQPX865uZnVyoU5K7cKR7iq5y eREY4m5AAI4xQ3dDSsx28h9pU47EUlG43KxMsW5gDxRysXtEI1uwcEsMUcrH7RWJkiCHJNNRJcri mLzpwAuePStFF2MW0OSxaNsksx7ZPAptSBNEjKVOCMVDTW5SdxO9IZtxf6pf90V68PhR50t2SVQg oAr3n/Hs/wCH86yr/wANmlL40Zvlr/z0FedyrudfM+wzYo6MKVl3Hd9htSUSeadm0DAq+fSyJ5db ldog3QkfSpuOxCQIyVdCynoQKrfYQ6NvLz8jLz/ezU3HYsB94yGzQ7gAJHSkMhlQtICTx60NXHF2 EEcQOC2TS5R847yEo5UHOxHgUoQv3uxprQTbY2KPJIYYx6GnZLYV29yV1yAQORyKEIsW6JLAWK5J yDntW8UrGMm7lZI2kdoyAwU45PapUbO5TldWJbidopojEAyhgrgds1pczsTu8ueFwKzk5GiUSFgx OWzWTv1NFboNpDNuL/Up/uivXh8KPOluySqEFAFe7UvbOo6nH86yrK8Gi6btJGb5D+1ed7NnZzoP s7+1P2bDnQfZ39qPZsOdC/Z29RR7Ni9ohDA4pezY+dFacMoGR0PNTZotWZXLMTyayubWJY1JYskh 6YxitE1axlJO9yxEjyA8dO9WoN7EOSQ8wPjpmjkYudETJgFcYqditxqMNoBOCOKTGhXOF4OOaaEx QABgUhjlVmPAzTSbE2kXVGFAroWxg9yhPaSRyNJb5+b7wBoa7DT7lYpIJly0kYI5AUipSS3G3fYs rJPHn94JU6cdqb8hadRy+Y4LMrBRxz1qXTv1KU7Eggc+lT7Nlc6NaEEQoD1CivTj8KOF7klUIKAI pv8AVNUVPhZUNypXGbhQAUAA5ppXE3YdtFaqmieZjJIldSGGRWc6aKjJmSYCZHAPAOBXFKOp2Rno TQo3CBcmqhC5E5pF+NPLjC+ldJzjqAGvGrjkUnFMak0ZEyNHKynseK5aiaZ102mixFE0qEc/KM/j WkI3VzKcrMkhtyIyz5DE1ThpqTz66E8UgHytgelOMujFKPVE1aGYUAZk0rzTEFSFBxWE5e9Y6IRX LcRolAyAfoO9TzNByply2m3jY33gPzraMroylGzJlDYOeCT2qyC+gxGo9q7Y7I53uPqhBQBFN/qm qKnwsqG5UrjNwoAKACgAouAhOFJ9KdwKce11OASzEke1ZqKbdy3JpKxZiiEY9WI5NXtsQ3ckoAaH yxXBFSnrYbWlx1UIilgSVgWzkUmk9xqTWw9EVFwo4pi3HUAJgelKwXFpgFAEJt0LliTyc4pWW47v YZJbYO5D0H3fWk4JjUmhsEDN+8fjPap9nZlOZLLIylUj+Z88j2rVIzZqJ9xfpXbHY53uOpiCgCOb /VNUTV4lR3KmB61zcq6s1uw496HyhqJUpJjYu33q+TzFzCVDVhpiMNykHuMUhlSCN4SwlkTHRSBj AobQJMtgjHWgBpkVfvEVLkkNRbGG4T3qfaIr2bE+0r/do9oh+zYfaRnG00vaB7MesyHviqU0yXBo eGDdDmqTvsS1bcXac5q1FsV0KQRQ4tAmmJUjDNABQAUAAVdxPAJ71UUnuJl5fuD6V2LYwe46mIKA I5v9U1RU+FlR3KbFVGScD3rlsuhtqQfa4d4UMWYnGAM0rMLjzI2MrGx/SgY0SyHOYSPxzQAhlmMu Fh+TH3icUWAqXly9suXIBPQbqycXfc0UkUo3aZ1ecg4P3QeKV1Eqzka32y2A2mRR2xVc6aI5JJla We3J2xyZJ9Kzkl0NItrcg2OzcbseprPl8zTn8iRI3U/eFOyE5Ng0jKcEr+VDaBRbGGY9mP5UuZD5 GKk5U/eb86aqtbA6SZKl1OZOJBsx3HNaKvIzdFIcZGJyZTn60nVkwVNIUPjkuT+NHtGL2aFDKTxn 8zT9oHILvPYn8zR7Ri9mhyzMMlpOB7VUal9xSh2FguxKxBxgdxVuSTJ5Wa6fcH0rujsjle4+qEFA EFykjwMIjhzjFTNNxsiotJ3ZRNpeEYyPxINc3sZm3tIEX9m3Qk3jaG9sU/ZVBc8Cdbe8AwQpPrml 7GY/aQFMF56L+dL2FTuHtIdhptrw+n50vq9TuP2sOxG9hcv99Fb6ml9Wn3H7aHYhfR5HIPlR5HQ5 pfVp9ylXh2G/2LNu3eXFn14o+rVO4e3h2HDSbgHISLPrxS+qz7j+sQ7CnS7v/Z/Ol9Tn3H9ah2D+ y7v/AGfzo+pz7j+tQ7Cf2Vc/7P50fU59w+tR7B/ZFx/s/nR9Tl3D61HsH9kXH+z+dH1OXcPrUewf 2Rcf7P50fU5dw+tR7B/ZFx/s/nR9Tl3D61HsH9k3P+z+dH1OXcPrUewq6VdK2Rt/Oj6nPuJ4qL6E v2G6/up+dV9Vn3I9vEDp9wwwUQj0Jo+qz7h7eICxuV+7gf8AAqtUJk+1gakQYRIH+8AM/WutKyOd 7klMQUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAU AFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQA UAFABQAUAFABQAUAFABQAUAFABQB/9k=