Figures: Weighting population vs. targets 2030/2019 and emission paths of the six largest emitters
weighting population China USA EU27 India Russia Japan Nigeria
0% -29% -34% -37% -27% -29% -38% -32%
5% -30% -35% -37% -23% -31% -39% -23%
10% -31% -36% -38% -20% -33% -40% -18%
15% -33% -38% -38% -17% -35% -41% -15%
20% -34% -40% -39% -14% -37% -41% -13%
25% -36% -41% -39% -12% -40% -42% -11%
30% -37% -44% -40% -10% -42% -43% -10%
35% -39% -46% -40% -9% -45% -44% -9%
40% -41% -49% -41% -7% -49% -45% -8%
45% -43% -52% -41% -6% -53% -46% -7%
50% -45% -56% -42% -5% -57% -48% -6%
55% -48% -60% -43% -4% -63% -49% -5%
60% -50% -65% -43% -3% -69% -51% -4%
65% -53% -71% -44% -2% -76% -52% -3%
70% -56% -79% -45% -1% -85% -54% -2% Parameter ESPM:
► linear emission paths (RM-6)
► global budget: 550 Gt
► LUC budget: 0 Gt
► NNE: 0 %
75% -60% -89% -45% -1% -97% -56% 0%
start macro: weighting poplation vs. targets 30/19
80% -64% -100% -46% 0% -100% -58% 1% The last data used when executing the macro:
85% -68% -100% -47% 1% -100% -61% 2% B 550  
90% -73% -100% -48% 1% -100% -64% 3% LUC 0  
95% -78% -100% -49% 2% -100% -67% 4% NNE   0.0%  
100% -84% -100% -50% 2% -100% -71% 5%
input values for all graphics in this sheet
start macro: paths RM-6 big six
The last data used when executing the macro:
global budget 550   LUC 0 B 550 LUC 0
weig. pop. 50%   NNE 0.0% WP 50% NNE 0.0%
emissions in Mill. t China United States EU27 India Russia Japan Nigeria column emissions in Gt China United States EU27 India Russia Japan Nigeria
2010 9,134 5,522 3,414 1,744 1,747 1,220 95 4 2010 9.1 5.5 3.4 1.7 1.7 1.2 0.1
2011 9,984 5,308 3,318 1,850 1,833 1,273 104 5   10.0 5.3 3.3 1.9 1.8 1.3 0.1
2012 10,298 5,088 3,251 2,023 1,820 1,311 103 6   10.3 5.1 3.3 2.0 1.8 1.3 0.1
2013 10,792 5,225 3,168 2,083 1,764 1,327 117 7   10.8 5.2 3.2 2.1 1.8 1.3 0.1
2014 10,917 5,244 3,026 2,243 1,750 1,276 123 8   10.9 5.2 3.0 2.2 1.8 1.3 0.1
2015 10,777 5,133 3,086 2,260 1,757 1,235 118 9   10.8 5.1 3.1 2.3 1.8 1.2 0.1
2016 10,805 5,029 3,095 2,303 1,735 1,233 121 10   10.8 5.0 3.1 2.3 1.7 1.2 0.1
2017 11,037 4,960 3,119 2,434 1,763 1,218 119 11   11.0 5.0 3.1 2.4 1.8 1.2 0.1
2018 11,572 5,118 3,050 2,573 1,841 1,179 125 12   11.6 5.1 3.0 2.6 1.8 1.2 0.1 chnage rates China United States EU27 India Russia Japan Nigeria
2019 11,851 4,967 2,908 2,542 1,910 1,139 130   11.9 5.0 2.9 2.5 1.9 1.1 0.1 2019   2.4% -3.0% -4.6% -1.2% 3.7% -3.4% 3.9%
2020 12,022 4,466 2,641 2,319 1,829 1,072 122 2020 12.0 4.5 2.6 2.3 1.8 1.1 0.1 2020 2020 1.5% -10.1% -9.2% -8.8% -4.2% -5.9% -5.9%
2021 12,622 4,755 2,834 2,548 1,958 1,085 131   12.6 4.8 2.8 2.5 2.0 1.1 0.1 2021   5.0% 6.5% 7.3% 9.9% 7.1% 1.2% 7.2%
2022 12,527 4,787 2,757 2,741 2,025 1,010 130   12.5 4.8 2.8 2.7 2.0 1.0 0.1 2022   -0.8% 0.7% -2.7% 7.5% 3.4% -6.9% -0.7%
2023 13,260 4,682 2,512 2,955 2,070 945 128   13.3 4.7 2.5 3.0 2.1 0.9 0.1 2023   5.8% -2.2% -8.9% 7.8% 2.2% -6.5% -1.7%
2024 12,292 4,328 2,395 2,878 1,890 895 127   12.3 4.3 2.4 2.9 1.9 0.9 0.1 2024   -7.3% -7.6% -4.7% -2.6% -8.7% -5.3% -0.6%
2025 11,325 3,973 2,277 2,801 1,710 845 126   11.3 4.0 2.3 2.8 1.7 0.8 0.1 2025   -7.9% -8.2% -4.9% -2.7% -9.5% -5.5% -0.7%
2026 10,357 3,619 2,159 2,723 1,531 796 125   10.4 3.6 2.2 2.7 1.5 0.8 0.1 2026   -8.5% -8.9% -5.2% -2.8% -10.5% -5.9% -0.7%
2027 9,390 3,264 2,042 2,646 1,351 746 125   9.4 3.3 2.0 2.6 1.4 0.7 0.1 2027   -9.3% -9.8% -5.4% -2.8% -11.7% -6.2% -0.7%
2028 8,422 2,910 1,924 2,569 1,171 696 124   8.4 2.9 1.9 2.6 1.2 0.7 0.1 2028   -10.3% -10.9% -5.8% -2.9% -13.3% -6.7% -0.7%
2029 7,455 2,556 1,807 2,492 992 647 123   7.5 2.6 1.8 2.5 1.0 0.6 0.1 2029   -11.5% -12.2% -6.1% -3.0% -15.3% -7.1% -0.7%
2030 6,487 2,201 1,689 2,414 812 597 122 2030 6.5 2.2 1.7 2.4 0.8 0.6 0.1 2030 2030 -13.0% -13.9% -6.5% -3.1% -18.1% -7.7% -0.7%
2031 5,520 1,847 1,572 2,337 632 547 121   5.5 1.8 1.6 2.3 0.6 0.5 0.1   -14.9% -16.1% -7.0% -3.2% -22.1% -8.3% -0.7%
2032 4,552 1,492 1,454 2,260 453 498 120   4.6 1.5 1.5 2.3 0.5 0.5 0.1   -17.5% -19.2% -7.5% -3.3% -28.4% -9.1% -0.7%
2033 3,585 1,138 1,337 2,183 273 448 120   3.6 1.1 1.3 2.2 0.3 0.4 0.1   -21.3% -23.7% -8.1% -3.4% -39.7% -10.0% -0.7% Parameter ESPM:
► scenario type: RM-6 abs
► global budget: 550 Gt
► weighting population: 50%
► LUC budget: 0 Gt
► NNE: 0 %
2034 2,617 783 1,219 2,105 93 398 119   2.6 0.8 1.2 2.1 0.1 0.4 0.1   -27.0% -31.1% -8.8% -3.5% -65.8% -11.1% -0.7%
2035 1,650 429 1,102 2,028 0 349 118   1.6 0.4 1.1 2.0 0.0 0.3 0.1   -37.0% -45.2% -9.6% -3.7% #NV -12.5% -0.7%
2036 682 75 984 1,951 0 299 117   0.7 0.1 1.0 2.0 0.0 0.3 0.1   -58.6% -82.6% -10.7% -3.8% #NV -14.2% -0.7%
2037 0 0 867 1,874 0 249 116   0.0 0.0 0.9 1.9 0.0 0.2 0.1   #NV #NV -11.9% -4.0% #NV -16.6% -0.7%
2038 0 0 749 1,796 0 200 115   0.0 0.0 0.7 1.8 0.0 0.2 0.1   #NV #NV -13.6% -4.1% #NV -19.9% -0.7%
2039 0 0 631 1,719 0 150 115   0.0 0.0 0.6 1.7 0.0 0.1 0.1   #NV #NV -15.7% -4.3% #NV -24.9% -0.7%
2040 0 0 514 1,642 0 100 114 2040 0.0 0.0 0.5 1.6 0.0 0.1 0.1 2040 #NV #NV -18.6% -4.5% #NV -33.1% -0.7%
2041 0 0 396 1,565 0 51 113   0.0 0.0 0.4 1.6 0.0 0.1 0.1   #NV #NV -22.9% -4.7% #NV -49.5% -0.7%
2042 0 0 279 1,487 0 1 112   0.0 0.0 0.3 1.5 0.0 0.0 0.1   #NV #NV -29.7% -4.9% #NV -98.1% -0.7%
2043 0 0 161 1,410 0 0 111   0.0 0.0 0.2 1.4 0.0 0.0 0.1   #NV #NV -42.2% -5.2% #NV #NV -0.7%
2044 0 0 44 1,333 0 0 111   0.0 0.0 0.0 1.3 0.0 0.0 0.1   #NV #NV -72.9% -5.5% #NV #NV -0.7%
2045 0 0 0 1,256 0 0 110   0.0 0.0 0.0 1.3 0.0 0.0 0.1   #NV #NV #NV -5.8% #NV #NV -0.8%
2046 0 0 0 1,178 0 0 109   0.0 0.0 0.0 1.2 0.0 0.0 0.1   #NV #NV #NV -6.2% #NV #NV -0.8%
2047 0 0 0 1,101 0 0 108   0.0 0.0 0.0 1.1 0.0 0.0 0.1   #NV #NV #NV -6.6% #NV #NV -0.8%
2048 0 0 0 1,024 0 0 107   0.0 0.0 0.0 1.0 0.0 0.0 0.1   #NV #NV #NV -7.0% #NV #NV -0.8%
2049 0 0 0 946 0 0 106   0.0 0.0 0.0 0.9 0.0 0.0 0.1   #NV #NV #NV -7.5% #NV #NV -0.8%
2050 0 0 0 869 0 0 106 2050 0.0 0.0 0.0 0.9 0.0 0.0 0.1 2050 #NV #NV #NV -8.2% #NV #NV -0.8%
sum 20 - 50 134.8 47.3 36.3 61.1 18.8 12.6 3.7
Inputs see above
start macro: paths RM-3 big six
B 550 LUC 0 B 550 LUC 0 The last data used when executing the macro
WP 50% NNE 0.0% WP 50% NNE 0.0%
  China USA EU27 India Russia Japan Nigeria emissions in Gt China USA EU27 India Russia Japan Nigeria
2018 12,022 4,466 2,641 2,319 1,829 1,072 122   12.0 4.5 2.6 2.3 1.8 1.1 0.1 change rates China USA EU27 India Russia Japan Nigeria
2019 11,851 4,967 2,908 2,542 1,910 1,139 130   11.9 5.0 2.9 2.5 1.9 1.1 0.1   2.4% -3.0% -4.6% -1.2% 3.7% -3.4% 3.9%
2020 12,022 4,466 2,641 2,319 1,829 1,072 122 2020 12.0 4.5 2.6 2.3 1.8 1.1 0.1 2020 1.5% -10.1% -9.2% -8.8% -4.2% -5.9% -5.9%
2021 12,622 4,755 2,834 2,548 1,958 1,085 131   12.6 4.8 2.8 2.5 2.0 1.1 0.1   5.0% 6.5% 7.3% 9.9% 7.1% 1.2% 7.2%
2022 12,527 4,787 2,757 2,741 2,025 1,010 130   12.5 4.8 2.8 2.7 2.0 1.0 0.1   -0.8% 0.7% -2.7% 7.5% 3.4% -6.9% -0.7%
2023 13,260 4,682 2,512 2,955 2,070 945 128   13.3 4.7 2.5 3.0 2.1 0.9 0.1   5.8% -2.2% -8.9% 7.8% 2.2% -6.5% -1.7%
2024 13,578 4,544 2,396 2,919 2,146 913 133   13.6 4.5 2.4 2.9 2.1 0.9 0.1   2.4% -3.0% -4.6% -1.2% 3.7% -3.4% 3.9%
2025 13,316 4,283 2,271 2,875 2,084 873 138   13.3 4.3 2.3 2.9 2.1 0.9 0.1   -1.9% -5.7% -5.2% -1.5% -2.9% -4.4% 3.7%
2026 12,480 3,918 2,141 2,823 1,885 825 142   12.5 3.9 2.1 2.8 1.9 0.8 0.1   -6.3% -8.5% -5.8% -1.8% -9.5% -5.5% 3.4%
2027 11,155 3,475 2,006 2,763 1,581 771 147   11.2 3.5 2.0 2.8 1.6 0.8 0.1   -10.6% -11.3% -6.3% -2.1% -16.1% -6.5% 3.2%
2028 9,487 2,985 1,868 2,695 1,221 712 151   9.5 3.0 1.9 2.7 1.2 0.7 0.2   -15.0% -14.1% -6.9% -2.4% -22.8% -7.6% 3.0%
2029 7,657 2,481 1,729 2,621 862 651 156   7.7 2.5 1.7 2.6 0.9 0.7 0.2   -19.3% -16.9% -7.4% -2.7% -29.4% -8.6% 2.7%
2030 5,847 1,993 1,591 2,541 552 588 159 2030 5.8 2.0 1.6 2.5 0.6 0.6 0.2 2030 -23.6% -19.7% -8.0% -3.1% -36.0% -9.7% 2.5%
2031 4,212 1,546 1,455 2,456 317 525 163   4.2 1.5 1.5 2.5 0.3 0.5 0.2   -28.0% -22.4% -8.5% -3.4% -42.6% -10.7% 2.3%
2032 2,851 1,156 1,323 2,366 161 463 166   2.9 1.2 1.3 2.4 0.2 0.5 0.2   -32.3% -25.2% -9.1% -3.7% -49.2% -11.8% 2.0%
2033 1,806 832 1,195 2,272 71 403 169   1.8 0.8 1.2 2.3 0.1 0.4 0.2   -36.7% -28.0% -9.7% -4.0% -55.9% -12.9% 1.8% Parameter ESPM:
► scenario type: RM-3 lin
► global budget: 550 Gt
► weighting population: 50%
► LUC budget: 0 Gt
► NNE: 0 %
2034 1,066 576 1,073 2,174 27 347 172   1.1 0.6 1.1 2.2 0.0 0.3 0.2   -41.0% -30.8% -10.2% -4.3% -62.5% -13.9% 1.6%
2035 583 382 958 2,074 0 295 174   0.6 0.4 1.0 2.1 0.0 0.3 0.2   -45.3% -33.6% -10.8% -4.6% #NV -15.0% 1.3%
2036 293 243 849 1,973 0 248 176   0.3 0.2 0.8 2.0 0.0 0.2 0.2   -49.7% -36.4% -11.3% -4.9% #NV -16.0% 1.1%
2037 4 148 748 1,870 0 206 178   0.0 0.1 0.7 1.9 0.0 0.2 0.2   #NV -39.2% -11.9% -5.2% #NV -17.1% 0.9%
2038 0 53 655 1,767 0 168 179   0.0 0.1 0.7 1.8 0.0 0.2 0.2   #NV #NV -12.4% -5.5% #NV -18.1% 0.7%
2039 0 0 570 1,664 0 136 180   0.0 0.0 0.6 1.7 0.0 0.1 0.2   #NV #NV -13.0% -5.8% #NV -19.2% 0.4%
2040 0 0 493 1,562 0 108 180 2040 0.0 0.0 0.5 1.6 0.0 0.1 0.2 2040 #NV #NV -13.6% -6.1% #NV -20.2% 0.2%
2041 0 0 423 1,461 0 85 180   0.0 0.0 0.4 1.5 0.0 0.1 0.2   #NV #NV -14.1% -6.4% #NV -21.3% 0.0%
2042 0 0 361 1,363 0 66 180   0.0 0.0 0.4 1.4 0.0 0.1 0.2   #NV #NV -14.7% -6.7% #NV -22.3% -0.3%
2043 0 0 306 1,267 0 51 179   0.0 0.0 0.3 1.3 0.0 0.1 0.2   #NV #NV -15.2% -7.1% #NV -23.4% -0.5%
2044 0 0 258 1,174 0 38 177   0.0 0.0 0.3 1.2 0.0 0.0 0.2   #NV #NV -15.8% -7.4% #NV -24.5% -0.7%
2045 0 0 216 1,084 0 26 176   0.0 0.0 0.2 1.1 0.0 0.0 0.2   #NV #NV -16.3% -7.7% #NV #NV -1.0%
2046 0 0 179 997 0 14 174   0.0 0.0 0.2 1.0 0.0 0.0 0.2   #NV #NV -16.9% -8.0% #NV #NV -1.2%
2047 0 0 148 915 0 1 171   0.0 0.0 0.1 0.9 0.0 0.0 0.2   #NV #NV -17.5% -8.3% #NV #NV -1.4%
2048 0 0 121 836 0 0 168   0.0 0.0 0.1 0.8 0.0 0.0 0.2   #NV #NV -18.0% -8.6% #NV #NV -1.7%
2049 0 0 99 762 0 0 165   0.0 0.0 0.1 0.8 0.0 0.0 0.2   #NV #NV -18.6% -8.9% #NV #NV -1.9%
2050 0 0 76 691 0 0 162 2050 0.0 0.0 0.1 0.7 0.0 0.0 0.2 2050 #NV #NV #NV -9.2% #NV #NV -2.1%
2051 0 0 54 626 0 0 158   0.0 0.0 0.1 0.6 0.0 0.0 0.2
2052 0 0 31 564 0 0 154   0.0 0.0 0.0 0.6 0.0 0.0 0.2
2053 0 0 9 507 0 0 149   0.0 0.0 0.0 0.5 0.0 0.0 0.1
2054 0 0 0 454 0 0 145   0.0 0.0 0.0 0.5 0.0 0.0 0.1
2055 0 0 0 405 0 0 140   0.0 0.0 0.0 0.4 0.0 0.0 0.1
2056 0 0 0 361 0 0 135   0.0 0.0 0.0 0.4 0.0 0.0 0.1
2057 0 0 0 320 0 0 130   0.0 0.0 0.0 0.3 0.0 0.0 0.1
2058 0 0 0 282 0 0 125   0.0 0.0 0.0 0.3 0.0 0.0 0.1
2059 0 0 0 248 0 0 120   0.0 0.0 0.0 0.2 0.0 0.0 0.1
2060 0 0 0 218 0 0 115 2060 0.0 0.0 0.0 0.2 0.0 0.0 0.1
2061 0 0 0 191 0 0 109   0.0 0.0 0.0 0.2 0.0 0.0 0.1
2062 0 0 0 166 0 0 104   0.0 0.0 0.0 0.2 0.0 0.0 0.1
2063 0 0 0 144 0 0 99   0.0 0.0 0.0 0.1 0.0 0.0 0.1
2064 0 0 0 125 0 0 93   0.0 0.0 0.0 0.1 0.0 0.0 0.1
2065 0 0 0 107 0 0 88   0.0 0.0 0.0 0.1 0.0 0.0 0.1
2066 0 0 0 92 0 0 83   0.0 0.0 0.0 0.1 0.0 0.0 0.1
2067 0 0 0 79 0 0 78   0.0 0.0 0.0 0.1 0.0 0.0 0.1
2068 0 0 0 66 0 0 73   0.0 0.0 0.0 0.1 0.0 0.0 0.1
2069 0 0 0 52 0 0 68   0.0 0.0 0.0 0.1 0.0 0.0 0.1
2070 0 0 0 39 0 0 64 2070 0.0 0.0 0.0 0.0 0.0 0.0 0.1
2071 0 0 0 26 0 0 59   0.0 0.0 0.0 0.0 0.0 0.0 0.1
2072 0 0 0 12 0 0 55   0.0 0.0 0.0 0.0 0.0 0.0 0.1
2073 0 0 0 0 0 0 51   0.0 0.0 0.0 0.0 0.0 0.0 0.1
2074 0 0 0 0 0 0 47   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2075 0 0 0 0 0 0 43   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2076 0 0 0 0 0 0 40   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2077 0 0 0 0 0 0 36   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2078 0 0 0 0 0 0 33   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2079 0 0 0 0 0 0 30   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2080 0 0 0 0 0 0 28 2080 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2081 0 0 0 0 0 0 25   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2082 0 0 0 0 0 0 23   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2083 0 0 0 0 0 0 20   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2084 0 0 0 0 0 0 18   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2085 0 0 0 0 0 0 17   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2086 0 0 0 0 0 0 15   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2087 0 0 0 0 0 0 13   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2088 0 0 0 0 0 0 12   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2089 0 0 0 0 0 0 10   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2090 0 0 0 0 0 0 9 2090 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2091 0 0 0 0 0 0 8   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2092 0 0 0 0 0 0 7   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2093 0 0 0 0 0 0 6   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2094 0 0 0 0 0 0 6   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2095 0 0 0 0 0 0 5   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2096 0 0 0 0 0 0 4   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2097 0 0 0 0 0 0 4   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2098 0 0 0 0 0 0 3   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2099 0 0 0 0 0 0 2   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2100 0 0 0 0 0 0 2   2100 0.000 0.000 0.000 0.000 0.000 0.000 0.002
RR_20 2.404% -2.954% -4.635% -1.208% 3.713% -3.368% 3.888% sum 20 - 100 134.8 47.3 36.3 65.6 18.8 12.6 7.9
RR_19 2.404% -2.954% -4.635% -1.208% 3.713% -3.368% 3.888%
budget 134,764 47,305 36,346 65,612 18,788 12,624 7,871 NNE 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 1.4%
Inputs see above
start macro: paths RM-4 big six
B 550 LUC 0 B 550 LUC 0 The last data used when executing the macro
WP 50% NNE 0.0% WP 50% NNE 0.0%
  China USA EU27 India Russia Japan Nigeria emissions in Gt China USA EU27 India Russia Japan Nigeria
2018 12,022 4,466 2,641 2,319 1,829 1,072 122   12.0 4.5 2.6 2.3 1.8 1.1 0.1 change rates China USA EU27 India Russia Japan Nigeria
2019 11,851 4,967 2,908 2,542 1,910 1,139 130   11.9 5.0 2.9 2.5 1.9 1.1 0.1 2019 2.4% -3.0% -4.6% -1.2% 3.7% -3.4% 3.9%
2020 12,022 4,466 2,641 2,319 1,829 1,072 122 2020 12.0 4.5 2.6 2.3 1.8 1.1 0.1 2020 1.5% -10.1% -9.2% -8.8% -4.2% -5.9% -5.9%
2021 12,622 4,755 2,834 2,548 1,958 1,085 131   12.6 4.8 2.8 2.5 2.0 1.1 0.1 2021 5.0% 6.5% 7.3% 9.9% 7.1% 1.2% 7.2%
2022 12,527 4,787 2,757 2,741 2,025 1,010 130   12.5 4.8 2.8 2.7 2.0 1.0 0.1 2022 -0.8% 0.7% -2.7% 7.5% 3.4% -6.9% -0.7%
2023 13,260 4,682 2,512 2,955 2,070 945 128   13.3 4.7 2.5 3.0 2.1 0.9 0.1   5.8% -2.2% -8.9% 7.8% 2.2% -6.5% -1.7%
2024 13,578 4,544 2,395 2,919 2,146 913 133   13.6 4.5 2.4 2.9 2.1 0.9 0.1   2.4% -3.0% -4.6% -1.2% 3.7% -3.4% 3.9%
2025 13,775 4,385 2,283 2,884 2,188 881 138   13.8 4.4 2.3 2.9 2.2 0.9 0.1   1.4% -3.5% -4.7% -1.2% 1.9% -3.5% 3.9%
2026 13,578 4,160 2,172 2,847 2,114 846 143   13.6 4.2 2.2 2.8 2.1 0.8 0.1   -1.4% -5.1% -4.9% -1.3% -3.4% -3.9% 3.8%
2027 12,735 3,833 2,060 2,807 1,854 808 149   12.7 3.8 2.1 2.8 1.9 0.8 0.1   -6.2% -7.8% -5.1% -1.4% -12.3% -4.6% 3.8%
2028 11,090 3,386 1,946 2,764 1,395 763 154   11.1 3.4 1.9 2.8 1.4 0.8 0.2   -12.9% -11.7% -5.5% -1.5% -24.7% -5.5% 3.7%
2029 8,702 2,826 1,829 2,717 827 712 160   8.7 2.8 1.8 2.7 0.8 0.7 0.2   -21.5% -16.6% -6.0% -1.7% -40.7% -6.7% 3.6%
2030 5,912 2,189 1,708 2,665 328 655 166 2030 5.9 2.2 1.7 2.7 0.3 0.7 0.2 2030 -32.1% -22.5% -6.6% -1.9% -60.3% -8.1% 3.5%
2031 3,280 1,541 1,582 2,607 54 590 171   3.3 1.5 1.6 2.6 0.1 0.6 0.2   -44.5% -29.6% -7.3% -2.2% -83.4% -9.8% 3.4%
2032 1,349 959 1,453 2,542 0 520 177   1.3 1.0 1.5 2.5 0.0 0.5 0.2   -58.9% -37.8% -8.2% -2.5% #NV -11.8% 3.3%
2033 335 508 1,321 2,470 0 447 182   0.3 0.5 1.3 2.5 0.0 0.4 0.2   -75.2% -47.0% -9.1% -2.8% #NV -14.1% 3.1% Parameter ESPM:
► scenario type: RM-4 quadr
► global budget: 550 Gt
► weighting population: 50%
► LUC budget: 0 Gt
► NNE: 0 %
2034 0 217 1,186 2,391 0 373 188   0.0 0.2 1.2 2.4 0.0 0.4 0.2   #NV -57.4% -10.2% -3.2% #NV -16.6% 2.9%
2035 0 68 1,052 2,305 0 301 193   0.0 0.1 1.1 2.3 0.0 0.3 0.2   #NV -68.8% -11.3% -3.6% #NV -19.3% 2.7%
2036 0 0 920 2,211 0 234 198   0.0 0.0 0.9 2.2 0.0 0.2 0.2   #NV #NV -12.6% -4.1% #NV -22.4% 2.5%
2037 0 0 791 2,110 0 174 202   0.0 0.0 0.8 2.1 0.0 0.2 0.2   #NV #NV -14.0% -4.6% #NV -25.7% 2.3%
2038 0 0 669 2,002 0 123 206   0.0 0.0 0.7 2.0 0.0 0.1 0.2   #NV #NV -15.5% -5.1% #NV -29.2% 2.0%
2039 0 0 555 1,888 0 82 210   0.0 0.0 0.6 1.9 0.0 0.1 0.2   #NV #NV -17.0% -5.7% #NV -33.1% 1.7%
2040 0 0 451 1,769 0 52 213 2040 0.0 0.0 0.5 1.8 0.0 0.1 0.2 2040 #NV #NV -18.8% -6.3% #NV -37.2% 1.4%
2041 0 0 358 1,646 0 30 215   0.0 0.0 0.4 1.6 0.0 0.0 0.2   #NV #NV -20.6% -7.0% #NV -41.5% 1.1%
2042 0 0 277 1,520 0 9 217   0.0 0.0 0.3 1.5 0.0 0.0 0.2   #NV #NV -22.5% -7.7% #NV #NV 0.8%
2043 0 0 209 1,393 0 0 218   0.0 0.0 0.2 1.4 0.0 0.0 0.2   #NV #NV -24.5% -8.4% #NV #NV 0.4%
2044 0 0 153 1,265 0 0 218   0.0 0.0 0.2 1.3 0.0 0.0 0.2   #NV #NV -26.7% -9.2% #NV #NV 0.0%
2045 0 0 109 1,139 0 0 217   0.0 0.0 0.1 1.1 0.0 0.0 0.2   #NV #NV -29.0% -10.0% #NV #NV -0.4%
2046 0 0 75 1,015 0 0 215   0.0 0.0 0.1 1.0 0.0 0.0 0.2   #NV #NV -31.3% -10.8% #NV #NV -0.8%
2047 0 0 41 896 0 0 213   0.0 0.0 0.0 0.9 0.0 0.0 0.2   #NV #NV #NV -11.7% #NV #NV -1.2%
2048 0 0 7 783 0 0 209   0.0 0.0 0.0 0.8 0.0 0.0 0.2   #NV #NV #NV -12.7% #NV #NV -1.7%
2049 0 0 0 676 0 0 205   0.0 0.0 0.0 0.7 0.0 0.0 0.2   #NV #NV #NV -13.6% #NV #NV -2.1%
2050 0 0 0 577 0 0 199 2050 0.0 0.0 0.0 0.6 0.0 0.0 0.2 2050 #NV #NV #NV -14.7% #NV #NV -2.6%
2051 0 0 0 486 0 0 193   0.0 0.0 0.0 0.5 0.0 0.0 0.2
2052 0 0 0 404 0 0 186   0.0 0.0 0.0 0.4 0.0 0.0 0.2
2053 0 0 0 332 0 0 178   0.0 0.0 0.0 0.3 0.0 0.0 0.2
2054 0 0 0 268 0 0 170   0.0 0.0 0.0 0.3 0.0 0.0 0.2
2055 0 0 0 214 0 0 161   0.0 0.0 0.0 0.2 0.0 0.0 0.2
2056 0 0 0 168 0 0 151   0.0 0.0 0.0 0.2 0.0 0.0 0.2
2057 0 0 0 129 0 0 141   0.0 0.0 0.0 0.1 0.0 0.0 0.1
2058 0 0 0 98 0 0 131   0.0 0.0 0.0 0.1 0.0 0.0 0.1
2059 0 0 0 73 0 0 121   0.0 0.0 0.0 0.1 0.0 0.0 0.1
2060 0 0 0 48 0 0 110 2060 0.0 0.0 0.0 0.0 0.0 0.0 0.1
2061 0 0 0 23 0 0 100   0.0 0.0 0.0 0.0 0.0 0.0 0.1
2062 0 0 0 0 0 0 90   0.0 0.0 0.0 0.0 0.0 0.0 0.1
2063 0 0 0 0 0 0 80   0.0 0.0 0.0 0.0 0.0 0.0 0.1
2064 0 0 0 0 0 0 71   0.0 0.0 0.0 0.0 0.0 0.0 0.1
2065 0 0 0 0 0 0 62   0.0 0.0 0.0 0.0 0.0 0.0 0.1
2066 0 0 0 0 0 0 54   0.0 0.0 0.0 0.0 0.0 0.0 0.1
2067 0 0 0 0 0 0 47   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2068 0 0 0 0 0 0 40   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2069 0 0 0 0 0 0 34   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2070 0 0 0 0 0 0 28 2070 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2071 0 0 0 0 0 0 23   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2072 0 0 0 0 0 0 19   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2073 0 0 0 0 0 0 15   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2074 0 0 0 0 0 0 12   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2075 0 0 0 0 0 0 10   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2076 0 0 0 0 0 0 7   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2077 0 0 0 0 0 0 6   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2078 0 0 0 0 0 0 4   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2079 0 0 0 0 0 0 3   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2080 0 0 0 0 0 0 2 2080 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2081 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2082 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2083 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2084 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2085 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2086 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2087 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2088 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2089 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2090 0 0 0 0 0 0 0 2090 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2091 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2092 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2093 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2094 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2095 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2096 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2097 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2098 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2099 0 0 0 0 0 0 0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2100 0 0 0 0 0 0 0   2100 0.000 0.000 0.000 0.000 0.000 0.000 0.000
RR_20 2.40% -2.95% -4.65% -1.21% 3.71% -3.38% 3.89% sum 20 - 100 134.8 47.3 36.3 65.6 18.8 12.6 7.9
RR_19 2.40% -2.95% -4.64% -1.21% 3.71% -3.37% 3.89%
budget 134,764 47,305 36,346 65,612 18,788 12,624 7,871 NNE 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%