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Year | Total_Emission_Debt | Fossil_Emissions | CO2_ppm | Temp_Model_Adjusted | J-D | NASA_Temp_Anomaly | Fusion_World_Temp_Model | Ocean_Sink | Land_Sink | Cement_Sink | Land_Emissions | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1850 | 44.62777214 | 53.69868079 | 280.0767681 | -0.6798807638 | 18.92484 | 16.4195 | 45.86756865 | 72.141 | ||||
1851 | 142.8091743 | 54.22164267 | 280.2456586 | -0.6772716508 | 12.55284 | 16.5485 | 1.526900468 | 74.588 | ||||
1852 | 238.3707906 | 56.60868334 | 280.4100425 | -0.6747336667 | 6.96672 | 17.1645 | 12.79518039 | 75.87933333 | ||||
1853 | 339.1552426 | 59.25776166 | 280.5834107 | -0.6720585828 | 0.97704 | 17.2905 | 17.704103 | 77.49833333 | ||||
1854 | 428.4229425 | 69.60512241 | 280.7369679 | -0.6696905637 | -3.90816 | 17.432 | 45.28458255 | 78.471 | ||||
1855 | 549.1738302 | 70.98919056 | 280.9446821 | -0.6664894451 | -6.35076 | 18.083 | 17.25272954 | 78.74666667 | ||||
1856 | 630.0007868 | 75.68134435 | 281.0837197 | -0.6643480361 | -6.32952 | 18.227 | 62.13890773 | 79.182 | ||||
1857 | 668.2234337 | 76.40065946 | 281.1494698 | -0.6633357438 | -5.28876 | 18.896 | 104.8241059 | 80.25333333 | ||||
1858 | 782.5013495 | 77.57236773 | 281.3460493 | -0.6603106077 | -3.63204 | 19.561 | 28.15549193 | 80.79 | ||||
1859 | 947.0170268 | 82.28200476 | 281.6290471 | -0.6559593 | -1.3806 | 19.76 | -18.47973922 | 82.13333333 | ||||
1860 | 1057.07163 | 90.32821506 | 281.8183617 | -0.6530508843 | 1.4868 | 19.967 | 36.74181218 | 77.922 | ||||
1861 | 1247.560967 | 94.91970881 | 282.1460391 | -0.6480214321 | 5.0976 | 20.6965 | -46.25472889 | 75.109 | ||||
1862 | 1423.624889 | 96.74915536 | 282.4489022 | -0.643378043 | 9.47304 | 21.9015 | -36.2563063 | 74.433 | ||||
1863 | 1485.979702 | 103.2151045 | 282.5561641 | -0.6417347337 | 14.6556 | 22.639 | 77.6360252 | 74.07033333 | ||||
1864 | 1562.658318 | 111.2789231 | 282.6880658 | -0.6397147876 | 20.709 | 22.8825 | 64.35680705 | 73.348 | ||||
1865 | 1701.680948 | 118.1384085 | 282.9272108 | -0.6360549143 | 27.42084 | 23.6465 | 0.1067712536 | 72.05833333 | ||||
1866 | 1787.057948 | 121.8759791 | 283.0740753 | -0.6338088348 | 33.49548 | 24.4015 | 51.15566632 | 72.55366667 | ||||
1867 | 1862.746531 | 130.5023877 | 283.2042738 | -0.6318186103 | 38.59308 | 25.209 | 63.90505806 | 72.89333333 | ||||
1868 | 1926.793996 | 134.1571931 | 283.3144475 | -0.6301352025 | 42.75612 | 25.9695 | 73.48677491 | 72.10266667 | ||||
1869 | 2039.995199 | 142.4547501 | 283.5091748 | -0.6271614503 | 45.92088 | 26.803 | 28.20966708 | 71.68 | ||||
1870 | 2130.518833 | 145.5617487 | 283.6648925 | -0.6247848986 | 48.17232 | 27.1125 | 57.62829469 | 77.875 | ||||
1871 | 2292.78661 | 154.7192614 | 283.9440235 | -0.6205280837 | 49.57416 | 27.913 | -4.401342548 | 80.63433333 | ||||
1872 | 2444.921452 | 171.206673 | 284.205724 | -0.616540888 | 49.74408 | 28.7825 | 22.53058388 | 81.98533333 | ||||
1873 | 2610.115072 | 181.8998967 | 284.4898881 | -0.6122155995 | 48.66084 | 29.5945 | 22.27427065 | 83.82333333 | ||||
1874 | 2736.58475 | 170.369139 | 284.7074397 | -0.6089071445 | 46.3032 | 30.465 | 52.53992771 | 85.40866667 | ||||
1875 | 2892.637444 | 184.8018078 | 284.9758796 | -0.6048282784 | 43.13844 | 31.3115 | 40.33450722 | 86.03533333 | ||||
1876 | 3013.854067 | 187.4400179 | 285.184395 | -0.6016625992 | 41.05692 | 32.18 | 79.84780807 | 86.86133333 | ||||
1877 | 3109.937939 | 191.1584065 | 285.3496773 | -0.5991549281 | 40.48344 | 33.546 | 109.5020941 | 88.457 | ||||
1878 | 3255.970346 | 192.6783733 | 285.6008804 | -0.5953464416 | 41.43924 | 34.427 | 60.84506016 | 90.06533333 | ||||
1879 | 3465.735957 | 206.3292798 | 285.9617167 | -0.5898816677 | 43.81812 | 35.277 | 8.369548103 | 90.901 | ||||
1880 | 3641.041522 | 233.0557893 | 286.2632752 | -0.5853199273 | -0.16 | 46.85544 | 36.152 | 66.81811751 | 92.07533333 | |||
1881 | 3908.501202 | 241.1419382 | 286.7233561 | -0.5783694348 | -0.07 | 50.445 | 37.0275 | -22.64757481 | 91.14266667 | |||
1882 | 4175.503612 | 254.7380284 | 287.1826503 | -0.5714419409 | -0.1 | 54.56556 | 37.901 | -11.78827449 | 92.94266667 | |||
1883 | 4343.157913 | 270.9480364 | 287.4710472 | -0.5670977372 | -0.16 | 59.23836 | 38.723 | 100.1893754 | 94.857 | |||
1884 | 4513.527761 | 274.0540614 | 287.7641154 | -0.5626876315 | -0.27 | 64.73952 | 39.5745 | 94.44652609 | 95.07633333 | |||
1885 | 4738.61147 | 276.1018373 | 288.1513016 | -0.5568681127 | -0.33 | 71.98236 | 40.4035 | 33.54926864 | 94.917 | |||
1886 | 4915.905035 | 280.4087096 | 288.4562798 | -0.5522897065 | -0.31 | 78.33312 | 40.716 | 80.29502465 | 96.229 | |||
1887 | 5094.910499 | 294.417803 | 288.7642028 | -0.5476720009 | -0.35 | 82.22004 | 41.5325 | 89.46446587 | 97.80466667 | |||
1888 | 5294.061151 | 325.9696084 | 289.1067794 | -0.5425404038 | -0.17 | 83.96172 | 41.8595 | 99.05906906 | 98.06133333 | |||
1889 | 5531.106993 | 326.0436859 | 289.5145427 | -0.5364402662 | -0.1 | 85.32108 | 42.6245 | 58.89759804 | 97.84533333 | |||
1890 | 5777.578349 | 354.9023758 | 289.9385198 | -0.5301066766 | -0.35 | 86.36184 | 43.3865 | 83.72967888 | 105.047 | |||
1891 | 6109.614586 | 371.6567085 | 290.5096844 | -0.5215889479 | -0.22 | 86.19192 | 43.643 | 17.75188562 | 107.9663333 | |||
1892 | 6406.698697 | 374.562358 | 291.0207249 | -0.5139820295 | -0.27 | 84.429 | 44.394 | 57.78091375 | 109.1256667 | |||
1893 | 6701.97065 | 369.9446891 | 291.5286481 | -0.5064347364 | -0.31 | 81.28548 | 45.139 | 59.48025597 | 111.232 | |||
1894 | 6997.579312 | 382.9200778 | 292.0371505 | -0.4988919973 | -0.3 | 77.35608 | 45.927 | 76.23966883 | 112.2113333 | |||
1895 | 7332.030293 | 405.9586182 | 292.612469 | -0.4903739785 | -0.22 | 72.76824 | 46.162 | 65.88106358 | 113.3036667 | |||
1896 | 7632.216625 | 419.3137582 | 293.1288459 | -0.4827428842 | -0.11 | 66.50244 | 46.931 | 120.1496535 | 114.4556667 | |||
1897 | 7949.143072 | 439.2007541 | 293.6740189 | -0.4747008108 | -0.1 | 59.06844 | 47.716 | 130.3298667 | 114.84 | |||
1898 | 8353.307 | 463.2004398 | 294.3692567 | -0.4644667 | -0.26 | 53.2062 | 47.9805 | 73.54347903 | 115.6936667 | |||
1899 | 8841.942326 | 505.9250053 | 295.2098013 | -0.452125859 | -0.17 | 49.65912 | 48.7715 | 36.17672532 | 117.3176667 | |||
1900 | 9312.743553 | 532.8082653 | 296.0196678 | -0.4402686237 | -0.08 | 48.25728 | 49.1055 | 84.1125916 | 119.4683333 | |||
1901 | 9877.028131 | 550.4215282 | 296.9903432 | -0.4260996565 | -0.15 | 48.40596 | 49.9255 | 8.383156852 | 120.5776667 | |||
1902 | 10490.89965 | 564.3242217 | 298.0463175 | -0.4107380773 | -0.27 | 49.89276 | 50.2425 | -27.23955297 | 122.443 | |||
1903 | 10985.23441 | 615.2020059 | 298.8966661 | -0.398407306 | -0.36 | 52.59024 | 51.101 | 139.8850023 | 122.709 | |||
1904 | 11480.89653 | 622.2018054 | 299.7492981 | -0.3860785965 | -0.46 | 56.45592 | 51.9745 | 143.19893 | 125.0896667 | |||
1905 | 12120.70152 | 662.4777232 | 300.8498828 | -0.3702163381 | -0.26 | 60.9588 | 52.319 | 34.88527073 | 125.4903333 | |||
1906 | 12711.09705 | 691.7940056 | 301.865474 | -0.3556304503 | -0.22 | 64.22976 | 53.1915 | 110.1772103 | 126.2 | |||
1907 | 13383.78326 | 788.2963946 | 303.0226206 | -0.3390712383 | -0.38 | 66.906 | 54.0975 | 121.9666917 | 127.36 | |||
1908 | 14026.96156 | 757.7622645 | 304.1290081 | -0.3232974374 | -0.43 | 68.90256 | 54.9505 | 119.1492301 | 128.4183333 | |||
1909 | 14745.89589 | 788.8904969 | 305.3657101 | -0.3057335146 | -0.48 | 70.07076 | 55.817 | 73.59508091 | 129.5266667 | |||
1910 | 15470.67101 | 828.0812816 | 306.6124594 | -0.2880987527 | -0.43 | 70.79292 | 56.192 | 103.0325684 | 126.7113333 | |||
1911 | 16268.93542 | 840.4754386 | 307.9856241 | -0.2687586873 | -0.43 | 72.5346 | 57.0295 | 38.42326279 | 125.7763333 | |||
1912 | 17086.94674 | 883.1778426 | 309.3927572 | -0.24902945 | -0.35 | 75.59316 | 57.396 | 56.35303579 | 124.1756667 | |||
1913 | 17964.96496 | 956.9529911 | 310.9031134 | -0.22795253 | -0.34 | 78.92784 | 58.2225 | 65.65543053 | 123.871 | |||
1914 | 18717.87504 | 868.0009765 | 312.1982602 | -0.2099602301 | -0.15 | 81.51912 | 58.512 | 98.86910364 | 123.8093333 | |||
1915 | 19491.50655 | 855.5824396 | 313.5290516 | -0.1915503337 | -0.14 | 83.60064 | 59.3875 | 61.51178948 | 122.549 | |||
1916 | 20266.59388 | 924.0879912 | 314.8623474 | -0.1731839899 | -0.35 | 84.76884 | 59.6995 | 125.7899854 | 121.2576667 | |||
1917 | 21026.38432 | 966.2736619 | 316.1693297 | -0.1552554494 | -0.45 | 84.8538 | 60.49 | 182.0010884 | 120.8616667 | |||
1918 | 21864.69153 | 953.4017846 | 317.6113755 | -0.1355599687 | -0.29 | 83.60064 | 61.2745 | 91.81944362 | 121.6 | |||
1919 | 22649.43345 | 826.6939274 | 318.9612789 | -0.1172038365 | -0.27 | 80.96688 | 61.601 | 19.83479272 | 120.4506667 | |||
1920 | 23474.91737 | 961.0882627 | 320.3812663 | -0.09797834818 | -0.27 | 77.56848 | 62.373 | 121.4381902 | 125.7753333 | |||
1921 | 24192.58035 | 843.3670013 | 321.6157814 | -0.08133312217 | -0.18 | 74.93472 | 63.178 | 116.7349728 | 129.1436667 | |||
1922 | 25016.04092 | 884.3651406 | 323.0322882 | -0.06231259845 | -0.28 | 73.29924 | 63.4325 | 55.01516611 | 130.8423333 | |||
1923 | 25886.37733 | 1003.338739 | 324.5294303 | -0.04229977278 | -0.26 | 72.70452 | 64.2225 | 126.7516375 | 130.6763333 | |||
1924 | 26817.80454 | 1006.337392 | 326.13166 | -0.02098421933 | -0.27 | 72.8532 | 64.4645 | 68.78681471 | 131.1943333 | |||
1925 | 27739.24518 | 1017.203543 | 327.716711 | 0 | -0.22 | 73.34172 | 65.195 | 90.27018618 | 133.044 | |||
1926 | 28690.12683 | 999.189576 | 329.352406 | 0.02154854546 | -0.1 | 74.59488 | 65.4085 | 40.90021032 | 132.5956667 | |||
1927 | 29651.24884 | 1090.64645 | 331.0057163 | 0.04322067351 | -0.21 | 76.18788 | 65.5995 | 120.5653913 | 132.8283333 | |||
1928 | 30687.50364 | 1085.906982 | 332.7882692 | 0.06646601525 | -0.19 | 77.99328 | 66.2745 | 38.43773973 | 133.0533333 | |||
1929 | 31779.93253 | 1165.640794 | 334.667452 | 0.09083702467 | -0.36 | 79.09776 | 66.403 | 61.14680447 | 133.4356667 | |||
1930 | 32763.98799 | 1074.945008 | 336.3602122 | 0.1126734589 | -0.16 | 79.20396 | 66.5485 | 80.61609135 | 135.479 | |||
1931 | 33720.61961 | 960.6722795 | 338.0057982 | 0.133796263 | -0.09 | 79.14024 | 66.6855 | -4.358748867 | 137.4263333 | |||
1932 | 34498.02716 | 866.1234482 | 339.3430852 | 0.1508861247 | -0.16 | 79.0128 | 67.242 | 81.42443447 | 138.9633333 | |||
1933 | 35322.99264 | 911.9864087 | 340.7621808 | 0.1689479617 | -0.29 | 78.75792 | 67.314 | 80.47767906 | 139.5286667 | |||
1934 | 36238.94603 | 991.8782087 | 342.3377926 | 0.1889139829 | -0.13 | 78.35436 | 67.3565 | 71.08162515 | 140.8676667 | |||
1935 | 37219.22158 | 1041.156755 | 344.0240506 | 0.2101805585 | -0.2 | 77.50476 | 67.3935 | 56.9352736 | 140.9523333 | |||
1936 | 38307.23001 | 1142.334546 | 345.8956295 | 0.233662632 | -0.15 | 75.91176 | 67.3925 | 52.67852505 | 141.6566667 | |||
1937 | 39476.29932 | 1221.133412 | 347.9066482 | 0.2587530216 | -0.03 | 73.9152 | 67.3775 | 52.04873788 | 141.2773333 | |||
1938 | 40558.32195 | 1148.17166 | 349.7679303 | 0.2818463284 | 0 | 71.45136 | 67.3425 | 69.37683568 | 142.0216667 | |||
1939 | 41645.93297 | 1214.860074 | 351.6388255 | 0.304935393 | -0.02 | 67.2246 | 67.3255 | 134.7922813 | 142.0933333 | |||
1940 | 42882.98005 | 1326.786429 | 353.7667788 | 0.3310480034 | 0.13 | 60.72516 | 67.3305 | 107.480029 | 145.7963333 | |||
1941 | 44237.80917 | 1356.66333 | 356.0973393 | 0.3594672467 | 0.19 | 52.3566 | 66.803 | 33.18360732 | 150.509 | |||
1942 | 45532.61989 | 1353.598818 | 358.3246569 | 0.3864542416 | 0.07 | 43.011 | 66.835 | 100.4177629 | 151.4756667 | |||
1943 | 46842.52171 | 1376.008271 | 360.5779341 | 0.4135856144 | 0.09 | 33.453 | 66.8845 | 116.9409536 | 151.172 | |||
1944 | 48277.794 | 1396.809135 | 363.0468719 | 0.4431197449 | 0.2 | 25.97652 | 66.985 | 19.76699364 | 151.1916667 | |||
1945 | 49427.40072 | 1161.882187 | 365.0244114 | 0.4666311244 | 0.09 | 21.4524 | 67.1235 | 73.95656492 | 150.257 | |||
1946 | 50708.35558 | 1268.046835 | 367.2278943 | 0.4926792237 | -0.07 | 20.36916 | 67.8325 | 48.71965016 | 149.8293333 | |||
1947 | 52045.4282 | 1404.416436 | 369.5279103 | 0.5197022817 | -0.03 | 21.53736 | 68.1085 | 126.2666157 | 148.5686667 | |||
1948 | 53473.38463 | 1480.60936 | 371.9842635 | 0.5483770494 | -0.11 | 25.04196 | 68.902 | 105.2316444 | 146.5226667 | |||
1949 | 54854.11894 | 1414.029949 | 374.3593858 | 0.5759240547 | -0.11 | 30.35196 | 69.308 | 78.74034333 | 145.1046667 | |||
1950 | 56327.51489 | 1618.270106 | 376.8939036 | 0.6051276543 | -0.17 | 36.27792 | 70.2545 | 203.9277307 | 165.586 | |||
1951 | 58031.48668 | 1741.650054 | 379.825055 | 0.638657504 | -0.07 | 41.92776 | 71.233 | 92.71717902 | 168.1996667 | |||
1952 | 59839.03154 | 1765.130202 | 382.9343716 | 0.6739437582 | 0.01 | 48.04488 | 72.84 | 8.776126128 | 172.0756667 | |||
1953 | 61593.24365 | 1815.19141 | 385.9519459 | 0.7079159724 | 0.08 | 54.84168 | 74.464 | 106.8156143 | 175.142 | |||
1954 | 63397.01116 | 1853.028751 | 389.0547647 | 0.7425720229 | -0.13 | 62.31816 | 75.6845 | 90.63225474 | 179.3736667 | |||
1955 | 65275.4697 | 2031.621392 | 392.2860662 | 0.7783705552 | -0.14 | 70.04952 | 76.967 | 191.5563298 | 185.41 | |||
1956 | 67241.92073 | 2163.204266 | 395.6687312 | 0.815531449 | -0.19 | 77.58972 | 78.329 | 231.6805134 | 190.846 | |||
1957 | 69415.24643 | 2234.064852 | 399.4072596 | 0.8562339437 | 0.05 | 87.14772 | 79.2965 | 90.06159579 | 195.7666667 | |||
1958 | 71655.82866 | 2297.259736 | 403.2614818 | 0.8977991103 | 0.06 | 174.1158665 | 80.7815 | 3.249806071 | 201.4696667 | |||
1959 | 73938.46491 | 2416.665456 | 407.1880448 | 0.9397378896 | 0.03 | 203.904 | 99.24198 | 43.03589517 | 212.1526667 | |||
1960 | 76317.01136 | 2561.796211 | 411.2795914 | 0.9830107292 | -0.03 | 150.804 | 93.65142918 | 125.234663 | 186.4403333 | |||
1961 | 78725.60238 | 2569.427515 | 415.4228202 | 1.026393686 | 0.06 | 165.672 | 83.95087835 | 89.96195146 | 178.7483333 | |||
1962 | 81210.76375 | 2660.086233 | 419.6977645 | 1.070704614 | 0.03 | 118.944 | 92.36032753 | 129.3962035 | 165.7756667 | |||
1963 | 83844.82724 | 2801.868781 | 424.2288484 | 1.117180468 | 0.05 | 121.068 | 111.1697767 | 95.97317982 | 160.4056667 | |||
1964 | 86563.88296 | 2954.044224 | 428.9061348 | 1.164638132 | -0.2 | 104.076 | 122.9492259 | 164.4886173 | 156.5253333 | |||
1965 | 89388.56924 | 3086.705587 | 433.7651257 | 1.213394477 | -0.11 | 233.64 | 133.7886751 | 36.66362438 | 142.073 | |||
1966 | 92246.53324 | 3237.365852 | 438.6813605 | 1.262172501 | -0.06 | 233.64 | 126.8381242 | 156.3293953 | 137.4056667 | |||
1967 | 95313.59403 | 3339.609301 | 443.957281 | 1.313914865 | -0.02 | 129.564 | 111.0075734 | 173.0972744 | 141.1203333 | |||
1968 | 98399.38785 | 3521.92569 | 449.2654259 | 1.365356399 | -0.08 | 210.276 | 120.0970226 | 248.56318 | 142.8043333 | |||
1969 | 101802.2092 | 3755.68761 | 455.1189176 | 1.421382943 | 0.05 | 280.368 | 129.9864718 | 76.56012691 | 134.0483333 | |||
1970 | 105579.0818 | 4066.090712 | 461.6158478 | 1.48273054 | 0.03 | 240.012 | 111.3059209 | 77.47951854 | 139.5793333 | |||
1971 | 109433.0817 | 4231.109638 | 468.2454513 | 1.544447217 | -0.08 | 155.052 | 122.9253701 | 230.6640669 | 131.5316667 | |||
1972 | 113401.7407 | 4427.79468 | 475.0722902 | 1.607093458 | 0.01 | 312.228 | 153.1248193 | 125.3937953 | 131.611 | |||
1973 | 117576.4217 | 4662.527456 | 482.2535254 | 1.672027632 | 0.16 | 310.104 | 137.1942685 | 168.6948679 | 128.1466667 | |||
1974 | 121690.4033 | 4642.298615 | 489.3303464 | 1.735078545 | -0.07 | 144.432 | 131.8637176 | 376.5889699 | 124.5676667 | |||
1975 | 125832.3668 | 4653.378644 | 496.4553014 | 1.797643767 | -0.01 | 261.252 | 123.8031668 | 252.2553245 | 125.8953333 | |||
1976 | 130216.4283 | 4908.636736 | 503.9967104 | 1.86289523 | -0.1 | 206.028 | 144.052616 | 299.7899716 | 125.2953333 | |||
1977 | 134686.7913 | 5047.666914 | 511.6865743 | 1.928433419 | 0.18 | 407.808 | 153.0920652 | 141.7101717 | 125.3063333 | |||
1978 | 139328.0642 | 5203.044493 | 519.6704353 | 1.995443231 | 0.07 | 273.996 | 155.5515143 | 253.8517653 | 121.6276667 | |||
1979 | 144070.0292 | 5350.164359 | 527.8275057 | 2.062851877 | 0.16 | 454.536 | 152.5009635 | 116.5996657 | 115.4373333 | |||
1980 | 148921.2132 | 5317.259993 | 536.1724531 | 2.130743577 | 0.26 | 363.204 | 178.8404127 | 44.29666143 | 120.265 | |||
1981 | 153600.4477 | 5190.215328 | 544.2216153 | 2.195235053 | 0.32 | 244.26 | 176.2898619 | 217.4755512 | 127.0446667 | |||
1982 | 158307.7709 | 5148.846395 | 552.3190952 | 2.259158296 | 0.14 | 212.4 | 194.709311 | 162.0518848 | 127.638 | |||
1983 | 162995.8161 | 5181.741625 | 560.3834132 | 2.32189504 | 0.31 | 388.692 | 209.8487602 | 35.97670663 | 140.821 | |||
1984 | 167786.5729 | 5360.733803 | 568.6244147 | 2.385080411 | 0.16 | 261.252 | 187.4082094 | 284.1700739 | 162.8533333 | |||
1985 | 172686.3407 | 5541.793264 | 577.0529354 | 2.448763285 | 0.12 | 350.46 | 176.6976586 | 265.0944873 | 150.2266667 | |||
1986 | 177822.3771 | 5624.32119 | 585.8878826 | 2.514526114 | 0.18 | 216.648 | 183.4271078 | 243.5813351 | 155.3716667 | |||
1987 | 182946.0036 | 5798.52154 | 594.7014823 | 2.579149293 | 0.32 | 2.579149293 | 562.86 | 198.8565569 | 63.68516939 | 150.5066667 | ||
1988 | 188266.7256 | 6025.487138 | 289.7156237 | -0.5334352585 | 0.39 | -0.5334352585 | 458.784 | 180.9060061 | 209.6901296 | 144.615 | ||
1989 | 193667.5823 | 6107.797353 | 289.9943383 | -0.5292735196 | 0.28 | -0.5292735196 | 310.104 | 184.6454553 | 355.2275667 | 143.0363333 | ||
1990 | 199321.8799 | 6209.79811 | 290.2861319 | -0.5249207704 | 0.45 | -0.5249207704 | 259.128 | 200.8756579 | 236.5148815 | 141.018 | ||
1991 | 205209.1406 | 6339.922251 | 290.5899478 | -0.5203933301 | 0.41 | -0.5203933301 | 159.3 | 213.9805427 | 214.3846033 | 135.0036667 | ||
1992 | 210883.3737 | 6159.170024 | 290.8827702 | -0.5160341906 | 0.22 | -0.5160341906 | 152.928 | 230.1725826 | 244.388355 | 142.552 | ||
1993 | 216460.1324 | 6222.257178 | 291.1705623 | -0.5117542079 | 0.24 | -0.5117542079 | 261.252 | 224.5826043 | 299.6492445 | 139.9853333 | ||
1994 | 222200.5427 | 6286.783591 | 291.4667998 | -0.507353044 | 0.32 | -0.507353044 | 352.584 | 203.4234618 | 148.0194982 | 157.6536667 | ||
1995 | 227962.8133 | 6420.439935 | 291.7641655 | -0.5029396162 | 0.45 | -0.5029396162 | 424.8 | 203.3206139 | 183.9646751 | 153.916 | ||
1996 | 233977.4641 | 6618.494234 | 292.0745553 | -0.4983376813 | 0.33 | -0.4983376813 | 223.02 | 202.8526559 | 341.6528128 | 163.682 | ||
1997 | 239872.7639 | 6658.283437 | 292.378786 | -0.4938318078 | 0.47 | -0.4938318078 | 418.428 | 220.0500515 | 328.6812253 | 204.1756667 | ||
1998 | 245702.2311 | 6640.541938 | 292.6796194 | -0.4893808592 | 0.61 | -0.4893808592 | 603.216 | 224.0400205 | 152.0810703 | 168.2623333 | ||
1999 | 251806.4718 | 6777.700499 | 292.9946326 | -0.4847250147 | 0.39 | -0.4847250147 | 282.492 | 199.6638796 | 355.1686017 | 163.8646667 | ||
2000 | 258072.3673 | 6959.958454 | 293.3179881 | -0.4799510758 | 0.4 | -0.4799510758 | 265.5 | 193.6719566 | 381.6066037 | 146.7156667 | ||
2001 | 264387.7721 | 7007.349984 | 293.6438986 | -0.4751447385 | 0.54 | -0.4751447385 | 390.816 | 183.7084719 | 254.8707065 | 137.45 | ||
2002 | 270842.0233 | 7163.834459 | 293.9769743 | -0.4702382408 | 0.63 | -0.4702382408 | 503.388 | 223.7809127 | 129.389719 | 146.9753333 | ||
2003 | 277570.8538 | 7546.02874 | 294.3242198 | -0.4651289243 | 0.62 | -0.4651289243 | 486.396 | 234.3089908 | 255.7056323 | 159.2123333 | ||
2004 | 284607.3653 | 7811.187939 | 294.6873435 | -0.4597924239 | 0.54 | -0.4597924239 | 331.344 | 230.3435164 | 360.1998724 | 147.211 | ||
2005 | 291857.4097 | 8076.447289 | 295.0614866 | -0.4543008536 | 0.68 | -0.4543008536 | 524.628 | 233.6899474 | 201.5976151 | 133.5126667 | ||
2006 | 299408.9456 | 8353.102395 | 295.4511884 | -0.4485883165 | 0.64 | -0.4485883165 | 375.948 | 244.5972109 | 323.8899246 | 142.8686667 | ||
2007 | 307153.1065 | 8597.088978 | 295.8508307 | -0.4427378839 | 0.67 | -0.4427378839 | 450.288 | 237.7707296 | 289.2153592 | 124.346 | ||
2008 | 315048.9784 | 8745.060733 | 296.2583022 | -0.4367809702 | 0.55 | -0.4367809702 | 375.948 | 240.1370364 | 362.4921191 | 129.3883333 | ||
2009 | 322895.8595 | 8595.323847 | 296.6632455 | -0.4308691283 | 0.66 | -0.4308691283 | 335.592 | 255.9065859 | 299.8521825 | 142.908 | ||
2010 | 331027.0051 | 9090.155017 | 297.0828584 | -0.4247516289 | 0.73 | -0.4247516289 | 514.008 | 251.828282 | 334.4808578 | 141.3076667 | ||
2011 | 339542.2344 | 9398.60004 | 297.5222922 | -0.418354418 | 0.61 | -0.418354418 | 356.832 | 255.6846706 | 413.2666979 | 142.4126667 | ||
2012 | 348190.0584 | 9534.785309 | 297.9685686 | -0.4118672562 | 0.65 | -0.4118672562 | 511.884 | 261.7698426 | 259.1914894 | 145.884 | ||
2013 | 356789.2671 | 9615.84801 | 298.4123363 | -0.4054261903 | 0.68 | -0.4054261903 | 520.38 | 264.9486241 | 363.9193355 | 132.6086667 | ||
2014 | 365513.7122 | 9679.638329 | 298.8625668 | -0.3989010998 | 0.75 | -0.3989010998 | 433.296 | 278.5954224 | 385.6130914 | 142.3113333 | ||
2015 | 374206.8698 | 9678.824989 | 299.3111827 | -0.3924091794 | 0.9 | -0.3924091794 | 626.58 | 284.9992191 | 227.7525489 | 153.6643333 | ||
2016 | 382816.2073 | 9677.954599 | 299.755473 | -0.3859894374 | 1.02 | -0.3859894374 | 603.216 | 296.9237041 | 293.9957047 | 125.5183333 | ||
2017 | 391662.5052 | 9832.273843 | 300.2119918 | -0.3794029047 | 0.93 | -0.3794029047 | 454.536 | 283.0498102 | 372.9804319 | 124.5903333 | ||
2018 | 400655.2483 | 10034.64659 | 300.676068 | -0.3727175939 | 0.85 | -0.3727175939 | 507.636 | 290.7491374 | 360.4710237 | 116.9526667 | ||
2019 | 409762.3451 | 10109.19852 | 301.1460455 | -0.3659577791 | 0.98 | -0.3659577791 | 531 | 295.5931523 | 300.9866407 | 125.478 | ||
2020 | 418334.6287 | 9554.513897 | 301.5884237 | -0.359604565 | 1.02 | -0.359604565 | 497.016 | 291.436547 | 311.0043659 | 117.2266667 | ||
2021 | 427343.5525 | 10048.18298 | 302.0533349 | -0.3529377773 | -0.3529377773 | 520.38 | 282.5585012 | 354.2676978 | 117.947 | |||
2022 | 436481.3016 | 10139.13339 | 302.5248942 | -0.3461861304 | -0.3461861304 | 463.032 | 277.9694058 | 378.0125554 | 117.6296667 |
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{ | |
"nbformat": 4, | |
"nbformat_minor": 0, | |
"metadata": { | |
"colab": { | |
"provenance": [], | |
"authorship_tag": "ABX9TyPPanZiNThdKoTAeQhKdOxz", | |
"include_colab_link": true | |
}, | |
"kernelspec": { | |
"name": "python3", | |
"display_name": "Python 3" | |
}, | |
"language_info": { | |
"name": "python" | |
} | |
}, | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "view-in-github", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"<a href=\"https://colab.research.google.com/gist/dmadisetti/27cbeb9330ccd6b392f1d1a6daf30c4a/fam-climate.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 32, | |
"metadata": { | |
"id": "DgFq1KNBzr0Q", | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 650 | |
}, | |
"outputId": "01efc0a2-3c2d-4064-e4bb-993cd88c243c" | |
}, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": [ | |
"<Figure size 1000x600 with 1 Axes>" | |
], | |
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\n" | |
}, | |
"metadata": {} | |
} | |
], | |
"source": [ | |
"import pandas as pd\n", | |
"import numpy as np\n", | |
"\n", | |
"import matplotlib.pyplot as plt\n", | |
"import matplotlib.patches as mpatches\n", | |
"\n", | |
"from scipy.interpolate import interp1d\n", | |
"from scipy.integrate import odeint\n", | |
"from scipy.optimize import curve_fit\n", | |
"\n", | |
"from sklearn.linear_model import LinearRegression\n", | |
"\n", | |
"# @markdown In For All Man Kind, fusion reactors are developed in ~1986. This is a simple climate model to determine the impact this would have on climate change. In the show, climate change seems as if it is not an issue- but is that a realistic assumption?\n", | |
"# @markdown\n", | |
"# @markdown Maybe. Looks like climate change would still be a thing, but solved and getting better. At our current levels, it doesn't look like humanity would ever get back down to pre-anthropogenic climate change carbon levels. This model explores that.\n", | |
"\n", | |
"# @markdown First, we consider the historic year that we cracked fusion:\n", | |
"zero = 1986 #@param {type:\"number\"}\n", | |
"# @markdown Humanity likely cannot get rid of all its fossil fuel dependence, this percentage indicates the residual fossil fuel dependence we would still have. Note this is taken as a percent of historical human emissions. This is an OK approximation, as our fossil fuel demand grows at the rate of some industries.For instance Air travel has accounted for ~3% for the last few decades (https://ourworldindata.org/co2-emissions-from-aviation).\n", | |
"# @markdown\n", | |
"# @markdown There's also the chance that Hydrogen technology has been developed in this universe- removing most need for fossil fuels (barring plastics and some industrial processes). Any value here is just an educated guess. 3% is probably the lowest amount while the highest amount could be > 33%. This model suggests that anything greater than 5% will result in carbon in the atmosphere continuing to rise.\n", | |
"reserved_percent = 3 #@param {type:\"number\", label:\"test\"}\n", | |
"reserved = reserved_percent/100.\n", | |
"# @markdown This is based on the \"Very Simple Climate Model\", which just states there's a 3 deg effect of temperature when the Carbon Dioxide in the air doubles- this is calibrated to historical \"Temperature Anomaly\" data from NASA Goddard. Extrapolation just uses a simple numerical ODE integration.\n", | |
"# @markdown\n", | |
"# @markdown Things this model factors in: a 3% baseline of carbon emissions (Airplanes use about this much). A historical linear relationship between excess carbon content and carbon sinks (Factoring in Ocean, Land and 'Cement' sinks). The data and carbon content is taken from the Global Carbon Budget.\n", | |
"# @markdown\n", | |
"# @markdown Just for fun, you can also run this model out into the future.\n", | |
"# @markdown (Obviously much more error prone)\n", | |
"future_years = 0 #@param {type:\"number\", label:\"test\"}\n", | |
"# @markdown A huge limitation of this is the assumption that our carbon sinks\n", | |
"# @markdown are going to operate the same way. At some point, the carbon sinks\n", | |
"# @markdown may become saturated leading to a run-away effect.\n", | |
"# @markdown Additionally, future predictions assume that we are going to\n", | |
"# @markdown continue producing CO2 at a 2022 level- which is unlikely.\n", | |
"\n", | |
"# Constants for conversion\n", | |
"TONS_CO2_TO_PPM = 1 / 2.13e9 # Each ppm is 2.13 billion metric tons of CO2\n", | |
"C_TO_CO2_CONVERSION = 3.664e6 # 1 tonne of C equals 3.664 tonnes of CO2\n", | |
"TONS_CO2_TO_CO2_PPM = C_TO_CO2_CONVERSION * TONS_CO2_TO_PPM # Each ppm is 2.13 billion metric tons of CO2\n", | |
"BASELINE_PPM = 280 # Pre-industrial baseline CO2 concentration in ppm\n", | |
"\n", | |
"\n", | |
"# Download data. Please cite accordingly (see references in figure)\n", | |
"! curl -LO https://gist.githubusercontent.com/dmadisetti/27cbeb9330ccd6b392f1d1a6daf30c4a/raw/5188d65c3219b246d4db5ae0aadc138235ebb908/consolidated_climate_data.csv 2> /dev/null\n", | |
"\n", | |
"# Load the consolidated climate data\n", | |
"consolidated_data_path = 'consolidated_climate_data.csv'\n", | |
"data = pd.read_csv(consolidated_data_path)\n", | |
"debt = (data['Fossil_Emissions'] +\n", | |
" data['Land_Emissions'] - data['Ocean_Sink'] -\n", | |
" data['Land_Sink'] - data['Cement_Sink']).cumsum()\n", | |
"\n", | |
"# Interpolating real fossil fuel emissions data\n", | |
"models = {\n", | |
" \"Fossil_Emissions\": interp1d(data['Year'], data['Fossil_Emissions'], fill_value=\"extrapolate\"),\n", | |
" \"Land_Emissions\": interp1d(data['Year'], data['Land_Emissions'], fill_value=\"extrapolate\"),\n", | |
"}\n", | |
"\n", | |
"# Prepare the models for each sink\n", | |
"# Assuming linear regression seems to hold for net debt to sink capacity\n", | |
"for sink in ['Ocean_Sink', 'Land_Sink', 'Cement_Sink']:\n", | |
" model = LinearRegression()\n", | |
" model.fit(np.reshape(debt.values, (-1, 1)), data[sink].values)\n", | |
" models[sink] = model\n", | |
"\n", | |
"\n", | |
"# Time points (years from the first year to the last year in the dataset)\n", | |
"t = np.arange(data['Year'].min(), data['Year'].max() + 1 + future_years)\n", | |
"\n", | |
"def fusion_debt(zero=zero, reserved=0.03, adoption_years=0):\n", | |
"\n", | |
" # ODE function with conditional for aviation emissions post-1986\n", | |
" def emission_debt_ode_aviation(debt, t, models):\n", | |
" # Before 1986, include actual fossil emissions\n", | |
" fossil_emissions = models['Fossil_Emissions']([t])\n", | |
" if t > zero:\n", | |
" # After 1986, assume fossil emissions are a portion (maybe ~3%) of the\n", | |
" # IRL emissions due to aviation. Also probably missing plastics and\n", | |
" # what not, but maybe plastics aren't as common because FF isn't as\n", | |
" # subsidized? This value is easily adjustable if you care\n", | |
" if t <= zero + adoption_years:\n", | |
" # Adoption rate is just considered to be linear\n", | |
" fossil_emissions *= (reserved + (1 - (t - zero)/adoption_years) * (1 - reserved))\n", | |
" elif t < 2023:\n", | |
" fossil_emissions *= reserved\n", | |
" # Extrapolation: assume that levels don't increase from what they\n", | |
" # would be today. It can't get worse. Can it? Can it?\n", | |
" else:\n", | |
" fossil_emissions = data['Fossil_Emissions'].values[-1] * reserved\n", | |
"\n", | |
" if t < 2023:\n", | |
" land_emissions = models['Land_Emissions']([t])\n", | |
" else:\n", | |
" # See fossil_emissions note on extrapolation.\n", | |
" land_emissions = data['Land_Emissions'].values[-1]\n", | |
" # Predicting the sinks based on the current debt\n", | |
" predicted_ocean_sink = models['Ocean_Sink'].predict([debt])[0]\n", | |
" predicted_land_sink = models['Land_Sink'].predict([debt])[0]\n", | |
" predicted_cement_sink = models['Cement_Sink'].predict([debt])[0]\n", | |
"\n", | |
" # The rate of change of the debt is the sum of emissions minus the sinks\n", | |
" return (fossil_emissions + land_emissions - predicted_ocean_sink -\n", | |
" predicted_land_sink - predicted_cement_sink)\n", | |
"\n", | |
" # Initial condition: the total emission debt at the first year\n", | |
" initial_debt_full = debt[0]\n", | |
"\n", | |
" # Solving the ODE for the fusion world scenario\n", | |
" return odeint(\n", | |
" emission_debt_ode_aviation,\n", | |
" initial_debt_full,\n", | |
" t,\n", | |
" args=(models,)\n", | |
" ).flatten()\n", | |
"\n", | |
"def fit_function(x, a, c, f):\n", | |
" return a * f(x) + c\n", | |
"\n", | |
"def fit_a_c(x_data, f_data, g_data):\n", | |
" \"\"\"Fit the parameters to calibrate the\n", | |
" Very Simple Climate model to the Nasa Data.\"\"\"\n", | |
" # Filter out NaNs\n", | |
" mask = ~np.isnan(f_data) & ~np.isnan(g_data)\n", | |
" x_filtered = x_data[mask]\n", | |
" f_filtered = f_data[mask]\n", | |
" g_filtered = g_data[mask]\n", | |
" # Define a lambda function for f(x)\n", | |
" f_lambda = lambda x: np.interp(x, x_filtered, f_filtered)\n", | |
"\n", | |
" # Fit a and c\n", | |
" popt, _ = curve_fit(lambda x, a, c:\n", | |
" fit_function(x, a, c, f_lambda),\n", | |
" x_filtered, g_filtered)\n", | |
" return popt\n", | |
"\n", | |
"def plot_arrow_with_text_at_start(start, end, text, curvature=0.2, ax=None):\n", | |
" if ax is None:\n", | |
" fig, ax = plt.subplots(figsize=(10, 6))\n", | |
" # Create a curved arrow with an arrowhead\n", | |
" arrowstyle = \"->,head_length=10,head_width=5\" # Adjust head size as needed\n", | |
" arrow = mpatches.FancyArrowPatch(start, end, connectionstyle=f\"arc3,rad={curvature}\", arrowstyle=arrowstyle,\n", | |
" color=\"black\", lw=2)\n", | |
" ax.add_patch(arrow)\n", | |
"\n", | |
" # Annotate with text at the start point\n", | |
" ax.annotate(text, xy=start, xytext=(-50, 0), textcoords='offset points',\n", | |
" ha='center', va='center', fontsize=12, color='black')\n", | |
"\n", | |
"# Known ppm in 1925 used to calibrate\n", | |
"adj = (debt * TONS_CO2_TO_CO2_PPM + BASELINE_PPM)[75] - 309\n", | |
"m, c = fit_a_c(data[\"Year\"],\n", | |
" np.log2((debt * TONS_CO2_TO_CO2_PPM + BASELINE_PPM - adj) / BASELINE_PPM),\n", | |
" data[\"J-D\"])\n", | |
"to_temp = lambda x: m * np.log2((x * TONS_CO2_TO_CO2_PPM + BASELINE_PPM - adj) / BASELINE_PPM)\n", | |
"\n", | |
"plt.rc('text', usetex=False)\n", | |
"fig, ax = plt.subplots(figsize=(10, 6))\n", | |
"\n", | |
"ax.set_title('What could have been: Climate Change in FAM.\\nTemperature Anomaly Over Time calculated from Carbon Emissions.')\n", | |
"ax.set_xlabel('Year')\n", | |
"ax.set_ylabel('Temperature Anomaly (°C)')\n", | |
"\n", | |
"\n", | |
"later = to_temp(fusion_debt(adoption_years=30, reserved=reserved))\n", | |
"ax.plot(data[\"Year\"], to_temp(debt), \":\", label=(r\"Very Simple Climate Model$^†$ of Earth\" \"\\n\" r\"(model of our climate now from emission data$^‡$)\"))\n", | |
"ax.plot(t, to_temp(fusion_debt(reserved=reserved)), label=\"Instantenous adoption of fusion reactors\\n(model if we had fusion in 1986)\")\n", | |
"ax.plot(t, to_temp(fusion_debt(adoption_years=10, reserved=reserved)), label=\"10 year adoption\")\n", | |
"ax.plot(t, to_temp(fusion_debt(adoption_years=20, reserved=reserved)), label=\"20 adoption\")\n", | |
"ax.plot(t, later, label=\"30 adoption\")\n", | |
"ax.plot(data[\"Year\"], data[\"J-D\"] - c, label=r\"IRL temperature anomaly$^*$\", alpha=0.2)\n", | |
"ax.plot([zero, zero], [-0.2, 1.4], \"k--\")\n", | |
"ax.set_ylim(-0.1, max(1.4, np.max(later) + 0.1))\n", | |
"ax.set_xlim(1925, 2025 + future_years)\n", | |
"ax.legend()\n", | |
"plot_arrow_with_text_at_start(\n", | |
" (1960, 0.5), (zero, 0.6),\n", | |
" (\"1986\\nDev and Richard\\ndevelop the first\\n\"\n", | |
" r\"_working_\" \"\\nnuclear fusion reactor\"), ax=ax, curvature=-0.2)\n", | |
"citation_text = (\"Citations:\\n\"\n", | |
" \"† UCAR Center for Science Education. Very Simple Climate Model. University Corporation for Atmospheric Research.\\n\"\n", | |
" \" Retrieved from https://scied.ucar.edu/simple-climate-model\\n\"\n", | |
" \"* NASA Goddard Institute for Space Studies (GISS). (2023). GISS Surface Temperature Analysis \"\n", | |
" \"(GISTEMP), version 4.\\n [Data set]. NASA GISS: GISTEMP Team. Retrieved from https://data.giss.nasa.gov/gistemp/\\n\"\n", | |
" \"‡ Friedlingstein, P., et al. (2023). Global Carbon Budget 2023. Global Carbon Project.\\n [Data set]. Global_Carbon_Budget_2023v1.0 Retrieved from https://www.globalcarbonproject.org.\")\n", | |
"ax.text(0.0, -0.08, citation_text, transform=ax.transAxes, fontsize=6, color='grey', ha='left', va='top');" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [], | |
"metadata": { | |
"id": "q8hsTaEJ7l-4" | |
}, | |
"execution_count": null, | |
"outputs": [] | |
} | |
] | |
} |
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