喀麦隆与津巴布韦：35 °C 以上天数

2014 年35 °C 以上天数：喀麦隆为 31.6 天，津巴布韦为 15.9 天（CMIP6 气候模型中位数模拟）。 2014 年喀麦隆的数值较高，高出 15.7 天，是津巴布韦的 1.99 倍。

每年天数 · CMIP6

喀麦隆津巴布韦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，喀麦隆的数值都更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年喀麦隆为 59.6 天，津巴布韦为 58.2 天。

逐年数据

每年天数 · CMIP6

年份	喀麦隆	津巴布韦
2014	31.6	15.9
2013	30.1	17.1
2012	30.4	15.7
2011	30.5	12.5
2010	29.3	15.3
2009	28.8	13
2008	28.1	13.5
2007	27.4	14.3
2006	28.2	12.9
2005	27.5	14.6
2004	28.1	16.2
2003	28.8	15.4
2002	28.4	14.9
2001	29.9	14.6
2000	27	15.1
1999	25.9	12.5
1998	26	13.2
1997	27.1	12
1996	25.3	9.7
1995	25.6	10.5
1994	24.5	9.8
1993	24.1	7.4
1992	22.5	7.9
1991	27.4	8.9
1990	27	10.9
1989	25.4	12.1
1988	26.7	11.6
1987	25.3	10.5
1986	26.7	10.4
1985	24.5	8.9
1984	24.9	8.9
1983	24.6	9
1982	25.9	9.2
1981	25.8	9.7
1980	25	10
1979	25.7	9.3
1978	25	8
1977	24.6	9.4
1976	23.6	7.4
1975	24.8	10
1974	24.2	11
1973	25.2	10
1972	24.3	8.2
1971	23.4	8.4
1970	24	9.1
1969	24.2	9.3
1968	23.4	8.6
1967	24.5	7.4
1966	24.3	7.5
1965	24.2	8.4
1964	22	6.2
1963	23.4	6.3
1962	25.4	9.1
1961	25.8	8.8
1960	25.6	9
1959	24.7	9.6
1958	25.3	10.2
1957	25.3	9.9
1956	23.8	7.9
1955	25.1	11.2
1954	24.8	8.8
1953	25.6	8.6
1952	25	9.4
1951	26	8.3
1950	25.1	9

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

年份	喀麦隆	津巴布韦
2015	31.222.9–39.3	17.19.2–27.4
2016	29.121.2–36.5	17.37.9–31.7
2017	30.421.9–39.5	189–29.3
2018	30.721.4–41.4	18.78.6–33.5
2019	29.421.7–40.5	18.48.7–28.5
2020	30.621.3–39.2	2211.6–34.5
2021	30.722.7–38.5	17.48.9–31.5
2022	32.223.4–43	22.111.3–34.2
2023	30.723.6–41.2	23.914.6–37.2
2024	3325.6–42.5	22.712.2–35.4
2025	32.624.9–40.6	19.47.7–35.5
2026	30.920.8–42.9	23.213.8–35.1
2027	3321.9–43	24.313.2–47.8
2028	33.124–44.1	23.213.4–42.3
2029	34.725.7–46.9	26.913.5–41.7
2030	34.824.2–46.3	24.713.5–44.4
2031	34.723.8–45.3	21.710.1–43.4
2032	35.123.5–47.1	23.913.4–37.9
2033	35.224.1–50.7	28.314.5–44.9
2034	33.524.8–46	30.915.4–52.5
2035	34.524–48.3	2714.6–44
2036	33.624.2–46.5	25.613–44.1
2037	37.324.3–51.9	29.415.2–46.3
2038	38.726.6–53.7	3316.3–54
2039	35.526.4–48.4	26.413.6–43.8
2040	35.624.7–51.2	2414.1–43.5
2041	39.628.3–52.5	29.216.6–45.4
2042	38.925.8–53.8	30.917.6–52.3
2043	37.527.5–50.2	32.416–51.2
2044	37.926.5–52.9	30.117.1–50.7
2045	38.927.8–50.3	29.414.1–46.6
2046	43.427.8–55.8	3318.1–50.4
2047	42.528.4–58.2	32.717.6–52.7
2048	41.429.2–54.9	35.519.2–56.3
2049	43.828.1–60	34.619.8–57.8
2050	39.727.7–59	38.920–58.3
2051	40.630.6–61.3	37.319.7–65.6
2052	44.528.6–58.3	42.321.3–67.1
2053	4229.4–60.5	35.519.9–56.4
2054	44.529.6–62.1	43.823–73.8
2055	44.831–62.2	40.622.1–66.4
2056	44.930.7–63.7	37.819.9–64.7
2057	49.632.5–67.3	36.319.8–63.3
2058	44.632.3–61.7	38.519.1–60.6
2059	46.333.1–63.6	46.824.8–70.1
2060	48.731.9–68.3	42.620.1–66.8
2061	47.429.7–68.6	42.920.8–66.2
2062	46.630.6–66.6	39.224.1–65.6
2063	48.631.3–68.4	40.424.4–62.1
2064	48.831.6–68.9	4122.2–59.1
2065	48.833.3–71.8	4523.3–75.1
2066	48.534.7–71.4	42.423.1–67.5
2067	47.132.9–68.2	38.622.2–72.6
2068	48.631.9–72.7	42.622.4–65
2069	50.231.8–71.9	45.524.4–72.1
2070	49.630.2–76.7	4223.8–65.3
2071	5134.8–74.1	43.622.9–68.4
2072	5235.8–73.5	47.623.8–70.9
2073	52.734.3–81.6	52.827.6–86.9
2074	50.132.7–76.4	49.329–82.9
2075	51.933.4–74.3	41.824.5–70.4
2076	50.835.2–79.3	44.125.3–76.6
2077	57.834.8–81.8	47.728.3–86.8
2078	53.734.2–79.5	47.125–73.2
2079	5336.1–79.2	48.326.6–83
2080	55.133.1–79	54.828.1–82.5
2081	54.534.1–86.2	49.525.8–88.8
2082	52.434.5–83.2	46.129–81.5
2083	54.336.6–85.8	46.623.8–90.9
2084	5534.6–81.1	52.128.9–75.3
2085	57.636.9–84.5	57.231.7–91.8
2086	55.935–85.6	49.230–75.3
2087	52.634.7–88.1	52.130.2–87.7
2088	55.837.5–84.3	58.629.2–86.4
2089	54.734.9–87.8	55.432–84.2
2090	55.236.5–84	54.730.4–83.6
2091	5935.8–85	5226.4–87.2
2092	60.238–82.4	56.332.9–86.5
2093	56.838.2–96.1	53.624.6–86.7
2094	58.540–85.8	61.331.2–91.4
2095	61.835.2–92.3	56.329.4–87.6
2096	57.336.3–92.4	52.230.1–86.6
2097	53.236.8–84.8	48.627–81.7
2098	57.236.6–89.8	55.831.3–98.2
2099	59.737.2–92.7	54.931.1–96.5
2100	59.636.4–89.9	58.229.4–85.2

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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

喀麦隆与津巴布韦对比

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经济

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政治

冲突

冲突死亡人数喀麦隆：2022 年为 660 人死亡津巴布韦：2022 年为 0 人死亡