索马里与津巴布韦：35 °C 以上天数

2014 年35 °C 以上天数：索马里为 58 天，津巴布韦为 15.9 天（CMIP6 气候模型中位数模拟）。 2014 年索马里的数值较高，高出 42.1 天，是津巴布韦的 3.65 倍。

每年天数 · CMIP6

索马里津巴布韦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，索马里的数值都更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年索马里为 132.6 天，津巴布韦为 58.2 天。

逐年数据

每年天数 · CMIP6

年份	索马里	津巴布韦
2014	58	15.9
2013	58.1	17.1
2012	56	15.7
2011	57.6	12.5
2010	57	15.3
2009	53	13
2008	51.3	13.5
2007	51.1	14.3
2006	51.2	12.9
2005	51.9	14.6
2004	52.6	16.2
2003	53	15.4
2002	51.4	14.9
2001	51.7	14.6
2000	51.6	15.1
1999	50	12.5
1998	49.2	13.2
1997	48.2	12
1996	44.7	9.7
1995	44.3	10.5
1994	42.8	9.8
1993	39	7.4
1992	36.2	7.9
1991	46.9	8.9
1990	45.5	10.9
1989	43.4	12.1
1988	44.2	11.6
1987	44.2	10.5
1986	44.3	10.4
1985	40.6	8.9
1984	42.6	8.9
1983	39.7	9
1982	43.5	9.2
1981	44.6	9.7
1980	44.8	10
1979	43.5	9.3
1978	42.4	8
1977	42.1	9.4
1976	38.3	7.4
1975	39.4	10
1974	41.9	11
1973	40.8	10
1972	40.5	8.2
1971	38.4	8.4
1970	38.2	9.1
1969	39.6	9.3
1968	36.3	8.6
1967	35.4	7.4
1966	38.9	7.5
1965	35.3	8.4
1964	34.1	6.2
1963	35.8	6.3
1962	39.6	9.1
1961	42.1	8.8
1960	41	9
1959	40.6	9.6
1958	39.4	10.2
1957	40.9	9.9
1956	39	7.9
1955	40.6	11.2
1954	38.5	8.8
1953	40.3	8.6
1952	40.7	9.4
1951	41.3	8.3
1950	40.4	9

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

年份	索马里	津巴布韦
2015	61.244–78.5	17.19.2–27.4
2016	60.241.9–78.7	17.37.9–31.7
2017	63.439.6–81.2	189–29.3
2018	6245.5–79.9	18.78.6–33.5
2019	62.444.6–82.9	18.48.7–28.5
2020	65.944–86.1	2211.6–34.5
2021	64.146.7–83.1	17.48.9–31.5
2022	67.847.3–88.5	22.111.3–34.2
2023	70.948.3–92.1	23.914.6–37.2
2024	72.751.4–92.7	22.712.2–35.4
2025	67.148.6–93.9	19.47.7–35.5
2026	66.543.9–99.9	23.213.8–35.1
2027	67.147.5–96.2	24.313.2–47.8
2028	69.949.2–95.5	23.213.4–42.3
2029	74.150.6–96	26.913.5–41.7
2030	72.553.5–97.1	24.713.5–44.4
2031	7655.6–99.9	21.710.1–43.4
2032	74.752.3–98.3	23.913.4–37.9
2033	79.656.7–101.7	28.314.5–44.9
2034	76.456.7–102.6	30.915.4–52.5
2035	77.552.5–105.2	2714.6–44
2036	76.753.9–100.7	25.613–44.1
2037	80.456.2–107.2	29.415.2–46.3
2038	80.359.3–108.7	3316.3–54
2039	82.258.9–108.7	26.413.6–43.8
2040	81.357.4–113.8	2414.1–43.5
2041	84.860.6–118.5	29.216.6–45.4
2042	8556.5–118.5	30.917.6–52.3
2043	83.660.2–115.7	32.416–51.2
2044	86.862.5–117.6	30.117.1–50.7
2045	86.961.3–121.1	29.414.1–46.6
2046	92.160.2–126.6	3318.1–50.4
2047	95.564.1–127.6	32.717.6–52.7
2048	95.969.2–124.6	35.519.2–56.3
2049	96.966.8–131.6	34.619.8–57.8
2050	93.366.5–129.9	38.920–58.3
2051	96.666.3–137.2	37.319.7–65.6
2052	98.867.9–126.4	42.321.3–67.1
2053	96.765.5–130.9	35.519.9–56.4
2054	91.563.1–130.8	43.823–73.8
2055	10168.8–131.1	40.622.1–66.4
2056	99.267.2–140.6	37.819.9–64.7
2057	98.171.7–135.6	36.319.8–63.3
2058	100.566.1–140.3	38.519.1–60.6
2059	10371.1–144.1	46.824.8–70.1
2060	109.573.1–143.8	42.620.1–66.8
2061	105.575.3–142.2	42.920.8–66.2
2062	106.769.6–147.9	39.224.1–65.6
2063	11075.4–143.5	40.424.4–62.1
2064	108.368.2–139.7	4122.2–59.1
2065	103.571.4–150.4	4523.3–75.1
2066	110.373.5–142.6	42.423.1–67.5
2067	110.571.3–148.5	38.622.2–72.6
2068	106.373.1–150.5	42.622.4–65
2069	112.378.2–147.4	45.524.4–72.1
2070	107.971.2–150.8	4223.8–65.3
2071	116.976–161.6	43.622.9–68.4
2072	11774–152.9	47.623.8–70.9
2073	118.283.9–157.3	52.827.6–86.9
2074	112.577.8–162.7	49.329–82.9
2075	11778.6–160.3	41.824.5–70.4
2076	12184.8–156.5	44.125.3–76.6
2077	124.478.7–167.9	47.728.3–86.8
2078	118.683–162	47.125–73.2
2079	121.379.2–161	48.326.6–83
2080	124.781.5–169.5	54.828.1–82.5
2081	127.587.6–172.7	49.525.8–88.8
2082	126.584.2–165.4	46.129–81.5
2083	126.386.8–173.9	46.623.8–90.9
2084	128.184.6–170.5	52.128.9–75.3
2085	126.884.7–167.3	57.231.7–91.8
2086	13283.7–173	49.230–75.3
2087	127.683.8–170.6	52.130.2–87.7
2088	131.180.1–167.8	58.629.2–86.4
2089	128.383.8–169.7	55.432–84.2
2090	134.390.9–176.1	54.730.4–83.6
2091	130.987.6–178.4	5226.4–87.2
2092	133.685.4–169	56.332.9–86.5
2093	133.794.2–185.6	53.624.6–86.7
2094	130.490.9–173.8	61.331.2–91.4
2095	132.593.5–175.3	56.329.4–87.6
2096	136.290.3–181	52.230.1–86.6
2097	129.288.6–176.1	48.627–81.7
2098	129.984.9–182.6	55.831.3–98.2
2099	134.685.5–175.8	54.931.1–96.5
2100	132.688.7–171.3	58.229.4–85.2

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

索马里与津巴布韦对比

健康

人口与社会

经济

教育

成人识字率索马里：2022 年为 54.1%津巴布韦：2019 年为 93.2%

政治

冲突

冲突死亡人数索马里：2022 年为 3,110 人死亡津巴布韦：2022 年为 0 人死亡