埃塞俄比亚与印度：35 °C 以上天数

2014 年35 °C 以上天数：埃塞俄比亚为 42.9 天，印度为 80.6 天（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 37.7 天，是埃塞俄比亚的 1.88 倍。

每年天数 · CMIP6

埃塞俄比亚印度CMIP6 模型中位数（SSP2-4.5，中间路径）模型第 10–90 百分位

数据解读

自 1950 年以来，在两国都有数据的每一年，印度的数值都更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年埃塞俄比亚为 80.7 天，印度为 111.9 天。

逐年数据

每年天数 · CMIP6

年份	埃塞俄比亚	印度
2014	42.9	80.6
2013	42.4	79.2
2012	41.6	81.3
2011	41.7	79.9
2010	41	80.8
2009	39.4	78.4
2008	38.4	77
2007	37.3	79
2006	38.4	76.2
2005	38.5	79.9
2004	37.6	80.1
2003	38.3	76.9
2002	39	79.2
2001	38.7	80.1
2000	37.3	76.6
1999	36.7	77.1
1998	36.8	76.9
1997	35.7	75.4
1996	34.4	72.1
1995	34.2	75.4
1994	32.7	76.3
1993	30.2	72.3
1992	29.7	68.7
1991	34.7	78.1
1990	34.2	76.7
1989	33.7	75.5
1988	34.3	73.9
1987	34.7	75.3
1986	34.2	76.8
1985	32	73
1984	32.1	75.9
1983	31.1	74.1
1982	33.2	76.1
1981	34	76.3
1980	33.9	75.3
1979	33	74.4
1978	32.2	74.4
1977	32.6	74.6
1976	31.1	76
1975	30.4	71
1974	31.9	75.8
1973	32.6	77.9
1972	31.4	71.1
1971	30.4	74.1
1970	30.3	73.7
1969	31	73.3
1968	29.8	72.2
1967	29.5	71.3
1966	30.3	75.3
1965	29.6	73.7
1964	27.2	68.9
1963	28.6	70.4
1962	31.8	74.2
1961	32.6	75.4
1960	31.1	75.4
1959	31.3	77.9
1958	30.9	74.8
1957	32	75.5
1956	31.3	75.6
1955	30.5	74.8
1954	31.1	75.3
1953	31.7	75.2
1952	31.5	76
1951	31.4	76.3
1950	31.4	76.5

CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100

年份	埃塞俄比亚	印度
2015	43.232.9–53.6	81.664.7–96
2016	41.931.5–52.8	8063.1–96.1
2017	43.730.8–54.5	79.461.7–95.3
2018	43.231.7–56.4	82.461.5–95.7
2019	43.132.6–54.9	79.160.2–95.2
2020	45.232.1–57	82.262.4–99
2021	4432.6–55.5	82.167.7–96.4
2022	45.633–57.2	83.962.8–100.3
2023	46.934.4–59.5	83.164–99.3
2024	48.136–61.5	84.766.4–100.3
2025	46.334.6–58.6	81.662.4–97.1
2026	45.732.3–63.1	84.866.1–101.3
2027	46.132.5–61.1	83.563.7–102
2028	47.633.9–62	82.862.9–99.9
2029	49.435.8–62.7	89.566–105.9
2030	48.535.7–62.6	84.265.7–100.2
2031	51.139.4–65.9	85.466.7–103.4
2032	50.137.7–64.1	85.665.5–105.3
2033	53.438.5–66.4	83.865.8–99.8
2034	51.538.9–67.1	85.467.4–104.8
2035	51.737.3–67.5	85.766.6–105.3
2036	50.537.8–64.5	84.565.5–101.8
2037	52.738.1–68.3	89.772.2–107.5
2038	53.640.2–68.6	90.269.1–107.1
2039	54.840.3–68.9	87.168.5–107.4
2040	53.740.8–71.1	87.566.6–106
2041	55.640.9–72.9	89.171.2–107.8
2042	55.742–71.7	95.475.7–112.9
2043	54.839.1–72.7	91.270.1–111.1
2044	57.440.3–72.9	90.471.6–110.9
2045	5841.7–76.4	91.772–108.5
2046	60.840.5–78.9	95.469.1–117
2047	61.544–78.8	94.272.6–113.5
2048	60.143.7–78	97.673.2–120.5
2049	62.445.4–81	95.173.8–117.5
2050	6044.7–80.4	94.474.5–117
2051	62.245.7–85.1	94.775.8–114.7
2052	62.244.5–79.6	96.876.1–116.5
2053	61.143.4–81.4	94.673.9–116.7
2054	59.343.9–79.1	96.574.3–117
2055	64.645.2–84.1	99.175.7–118
2056	62.243.7–85.5	99.173.7–118.2
2057	64.347.1–87.3	100.371.9–123.9
2058	65.743.7–87.1	97.775.1–121.5
2059	66.145.7–88	102.380.5–127.4
2060	67.546.8–88.1	10380.3–124.4
2061	67.548.2–88.8	100.978.4–122.6
2062	67.146.1–91.6	100.175.4–126.5
2063	67.648.5–88.1	100.678.3–122.1
2064	68.946.1–87.5	10081–123.3
2065	66.149.5–91.3	103.580.5–128.2
2066	68.249.7–87.1	100.780.7–124.6
2067	69.348.8–91.1	99.678.4–126
2068	67.548.2–92.4	102.780.1–130.1
2069	69.450.1–90	10477.5–128.1
2070	67.948.5–95.4	101.179.7–125.6
2071	73.149.8–96.2	105.581.4–132.1
2072	72.849.4–92.6	104.384.4–128.2
2073	71.653.2–95.3	108.485.4–130
2074	68.448.8–96.8	105.182.9–126.8
2075	72.849.6–96.6	102.578.8–126
2076	7552.9–98.3	105.582.2–134.6
2077	77.651.6–104.2	107.484.1–132.6
2078	72.252.6–97.6	107.382.8–127.7
2079	74.452.7–95.3	105.379.7–127.2
2080	7750.9–100.6	109.784.5–135.9
2081	78.953.6–104.3	108.986.2–134.4
2082	77.354.5–99.1	105.783.4–133.6
2083	78.455.3–102.5	110.287.8–135.8
2084	7854.4–101.3	111.582.3–138.1
2085	78.855–103.6	112.381.2–143.6
2086	81.653.6–106.3	107.882.8–141.1
2087	78.353–102.2	107.980.1–134
2088	7854–103.9	107.984.4–143.1
2089	78.455.9–100.2	107.981.7–137.3
2090	82.555.7–105.3	108.883.9–136.6
2091	82.554.6–108.2	113.486.9–144
2092	80.652.6–104	113.587.1–142.8
2093	80.758.9–107	108.482.7–144.8
2094	81.357.6–105.4	111.386.8–139.5
2095	8257–107.8	114.186.4–143.6
2096	80.654–107.6	10880.4–140.3
2097	79.556.7–107.5	110.385–137.8
2098	78.853.4–108.7	113.687.7–141.1
2099	8155.7–110.5	112.585.3–137.7
2100	80.755.5–106.4	111.986.8–138.7

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须知

一年中最高气温超过 35 °C 的天数，取全国平均。
来源：World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
虚线为CMIP6 模型中位数（SSP2-4.5，中间路径），是一种情景而非预报；阴影带为其模型第 10–90 百分位。
气候模型值为 CMIP6 各模型的中位数：2014 年及以前按历史排放模拟，此后按中间路径 SSP2-4.5 模拟；它们并非实测数据。

各图层如何运作、数据从何而来，以及它们无法告诉你什么：历年各国数据

埃塞俄比亚与印度对比

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冲突

冲突死亡人数埃塞俄比亚：2022 年为 102,900 人死亡印度：2022 年为 358 人死亡