吉布提与埃塞俄比亚：35 °C 以上天数

2014 年35 °C 以上天数：吉布提为 161.5 天，埃塞俄比亚为 42.9 天（CMIP6 气候模型中位数模拟）。 2014 年吉布提的数值较高，高出 118.6 天，是埃塞俄比亚的 3.77 倍。

每年天数 · CMIP6

吉布提埃塞俄比亚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，吉布提的数值都更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年吉布提为 202.6 天，埃塞俄比亚为 80.7 天。

逐年数据

每年天数 · CMIP6

年份	吉布提	埃塞俄比亚
2014	161.5	42.9
2013	161	42.4
2012	157.3	41.6
2011	159.3	41.7
2010	158.2	41
2009	156.7	39.4
2008	154	38.4
2007	150.6	37.3
2006	151.9	38.4
2005	154.3	38.5
2004	152.9	37.6
2003	156	38.3
2002	157.8	39
2001	153.3	38.7
2000	155.4	37.3
1999	150.7	36.7
1998	148	36.8
1997	150.2	35.7
1996	149.7	34.4
1995	147.7	34.2
1994	143.8	32.7
1993	141.9	30.2
1992	136.7	29.7
1991	146.6	34.7
1990	149.9	34.2
1989	147.4	33.7
1988	148.9	34.3
1987	145.4	34.7
1986	144.9	34.2
1985	141.4	32
1984	144	32.1
1983	139.4	31.1
1982	146.7	33.2
1981	148	34
1980	145.6	33.9
1979	143.2	33
1978	141.8	32.2
1977	144.1	32.6
1976	142.7	31.1
1975	140.2	30.4
1974	140.6	31.9
1973	144.8	32.6
1972	141.5	31.4
1971	141.7	30.4
1970	134.6	30.3
1969	139.3	31
1968	136.6	29.8
1967	137.3	29.5
1966	140.1	30.3
1965	137.2	29.6
1964	133.1	27.2
1963	134.4	28.6
1962	142.1	31.8
1961	141.5	32.6
1960	142.3	31.1
1959	139	31.3
1958	138.4	30.9
1957	144.3	32
1956	141.6	31.3
1955	139.9	30.5
1954	142.4	31.1
1953	141.5	31.7
1952	142.9	31.5
1951	142.3	31.4
1950	142.4	31.4

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

年份	吉布提	埃塞俄比亚
2015	160.8141.1–177.6	43.232.9–53.6
2016	162.4133.4–175.4	41.931.5–52.8
2017	162.5134.6–177.1	43.730.8–54.5
2018	157.4134.1–177.6	43.231.7–56.4
2019	160.7134.1–179.7	43.132.6–54.9
2020	162.3135.6–180.4	45.232.1–57
2021	159.8141.2–181	4432.6–55.5
2022	161.7129–184	45.633–57.2
2023	164.4132.6–185.8	46.934.4–59.5
2024	165143.2–189.5	48.136–61.5
2025	163.1129.9–181.4	46.334.6–58.6
2026	165.9131.4–186.8	45.732.3–63.1
2027	164.6130.3–184.6	46.132.5–61.1
2028	169137.8–188.8	47.633.9–62
2029	168.2139.9–187.9	49.435.8–62.7
2030	169.3140.4–186	48.535.7–62.6
2031	168.4152.8–188	51.139.4–65.9
2032	172.6149.8–192.8	50.137.7–64.1
2033	174.9150.4–192.2	53.438.5–66.4
2034	172.2151.4–190.8	51.538.9–67.1
2035	173.6146.8–189.6	51.737.3–67.5
2036	172.5149.4–189.2	50.537.8–64.5
2037	173.4148.7–190.7	52.738.1–68.3
2038	173.9156.9–195.8	53.640.2–68.6
2039	176156.9–192.9	54.840.3–68.9
2040	177.3156.2–194.2	53.740.8–71.1
2041	176.2141.4–196.3	55.640.9–72.9
2042	177.8154–198.5	55.742–71.7
2043	179.2150.8–197	54.839.1–72.7
2044	181.1147.3–196.6	57.440.3–72.9
2045	181.3154.5–201.7	5841.7–76.4
2046	180.5150.9–197.8	60.840.5–78.9
2047	179.9157–199.8	61.544–78.8
2048	182.5156.8–206.1	60.143.7–78
2049	183.7153.2–201.6	62.445.4–81
2050	182.2157.1–205	6044.7–80.4
2051	184.4162.8–206.2	62.245.7–85.1
2052	183.3150.6–204.6	62.244.5–79.6
2053	182.6161.3–207.1	61.143.4–81.4
2054	183.7160.1–201.8	59.343.9–79.1
2055	188.1161–207.4	64.645.2–84.1
2056	187.1166.2–212.2	62.243.7–85.5
2057	188.3166.1–210.6	64.347.1–87.3
2058	183.8153.6–205.4	65.743.7–87.1
2059	189.8162.8–214.4	66.145.7–88
2060	195.2171.8–213.3	67.546.8–88.1
2061	193.2170.2–210.6	67.548.2–88.8
2062	189.2162.8–216.9	67.146.1–91.6
2063	190.6170.3–212.3	67.648.5–88.1
2064	194.3166.7–209.5	68.946.1–87.5
2065	188.5166.1–213.4	66.149.5–91.3
2066	190163.9–209.6	68.249.7–87.1
2067	193.4162.7–215.9	69.348.8–91.1
2068	195.7170.3–217.7	67.548.2–92.4
2069	198.6169.8–213.6	69.450.1–90
2070	195.6172.9–215.1	67.948.5–95.4
2071	198.4165.6–221.5	73.149.8–96.2
2072	193.2169.4–213.2	72.849.4–92.6
2073	197.1176.8–218	71.653.2–95.3
2074	188.8157.3–218.7	68.448.8–96.8
2075	194.9163.8–216.7	72.849.6–96.6
2076	198.6171.6–217.8	7552.9–98.3
2077	198.5164.2–220	77.651.6–104.2
2078	194.7168.5–220.1	72.252.6–97.6
2079	198.8169.8–220.4	74.452.7–95.3
2080	199.7163.6–223.7	7750.9–100.6
2081	203174.3–221.5	78.953.6–104.3
2082	198173.4–219.6	77.354.5–99.1
2083	200173.1–224.7	78.455.3–102.5
2084	198.7172–226.8	7854.4–101.3
2085	201.8174.9–225.8	78.855–103.6
2086	202.2163–223.8	81.653.6–106.3
2087	201.9171.4–222.1	78.353–102.2
2088	202.3180.6–223.7	7854–103.9
2089	202.5179.1–220.9	78.455.9–100.2
2090	207.1176.4–228.1	82.555.7–105.3
2091	207.8174.3–230.4	82.554.6–108.2
2092	203.6172.6–224.2	80.652.6–104
2093	205175.1–224.3	80.758.9–107
2094	202.5177.9–221.9	81.357.6–105.4
2095	203.7178.7–227.8	8257–107.8
2096	202.9171–226.4	80.654–107.6
2097	199179.5–223.5	79.556.7–107.5
2098	195.1168.9–226.7	78.853.4–108.7
2099	207.2181.7–229	8155.7–110.5
2100	202.6179.2–221.8	80.755.5–106.4

分别查看各国

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

吉布提与埃塞俄比亚对比

健康

人口与社会

经济

教育

小学女生入学吉布提：2019 年为 66.5%埃塞俄比亚：2015 年为 81.5%

政治

冲突

冲突死亡人数吉布提：2022 年为 0 人死亡埃塞俄比亚：2022 年为 102,900 人死亡