赞比亚与津巴布韦：35 °C 以上天数

2014 年35 °C 以上天数：赞比亚为 9.7 天，津巴布韦为 15.9 天（CMIP6 气候模型中位数模拟）。 2014 年津巴布韦的数值较高，高出 6.3 天，是赞比亚的 1.65 倍。

每年天数 · CMIP6

赞比亚津巴布韦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，津巴布韦的数值都更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年赞比亚为 45 天，津巴布韦为 58.2 天。

逐年数据

每年天数 · CMIP6

年份	赞比亚	津巴布韦
2014	9.7	15.9
2013	10.6	17.1
2012	9.9	15.7
2011	8.8	12.5
2010	9.9	15.3
2009	8.5	13
2008	8.4	13.5
2007	8.2	14.3
2006	7.6	12.9
2005	8.2	14.6
2004	10.2	16.2
2003	8.8	15.4
2002	8.8	14.9
2001	9.5	14.6
2000	9	15.1
1999	7.6	12.5
1998	7.8	13.2
1997	6.6	12
1996	5.6	9.7
1995	6.2	10.5
1994	5.8	9.8
1993	4.1	7.4
1992	4.7	7.9
1991	4.9	8.9
1990	6	10.9
1989	6.2	12.1
1988	6.4	11.6
1987	6.5	10.5
1986	6.3	10.4
1985	4.9	8.9
1984	5.1	8.9
1983	5	9
1982	4.8	9.2
1981	5.8	9.7
1980	5.6	10
1979	5.3	9.3
1978	5	8
1977	5.4	9.4
1976	4.1	7.4
1975	4.8	10
1974	5.7	11
1973	5.7	10
1972	4.1	8.2
1971	4.7	8.4
1970	5.1	9.1
1969	5.1	9.3
1968	4.6	8.6
1967	4.1	7.4
1966	3.7	7.5
1965	4.8	8.4
1964	3.4	6.2
1963	3.4	6.3
1962	5	9.1
1961	5.3	8.8
1960	5.2	9
1959	5.5	9.6
1958	5.2	10.2
1957	5.4	9.9
1956	4.2	7.9
1955	5.4	11.2
1954	5.2	8.8
1953	4.8	8.6
1952	5.8	9.4
1951	4.2	8.3
1950	5.3	9

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

年份	赞比亚	津巴布韦
2015	12.45.1–21	17.19.2–27.4
2016	114.9–19.9	17.37.9–31.7
2017	115.1–18.3	189–29.3
2018	11.44.9–21.2	18.78.6–33.5
2019	12.16.3–19.3	18.48.7–28.5
2020	14.37.2–23.4	2211.6–34.5
2021	12.65.9–22.1	17.48.9–31.5
2022	15.37–23.7	22.111.3–34.2
2023	17.510.3–26.3	23.914.6–37.2
2024	15.88.7–24.8	22.712.2–35.4
2025	14.76.5–26.2	19.47.7–35.5
2026	169.1–25.4	23.213.8–35.1
2027	17.78.9–29.2	24.313.2–47.8
2028	16.28.1–27.4	23.213.4–42.3
2029	18.69.5–28.9	26.913.5–41.7
2030	17.310–31.1	24.713.5–44.4
2031	16.97.7–30.4	21.710.1–43.4
2032	16.78.3–28.7	23.913.4–37.9
2033	209.5–32.1	28.314.5–44.9
2034	22.69.4–38.5	30.915.4–52.5
2035	19.310.1–35.5	2714.6–44
2036	18.88.7–32.8	25.613–44.1
2037	20.79.8–34.6	29.415.2–46.3
2038	20.311.6–36.7	3316.3–54
2039	19.310.6–32	26.413.6–43.8
2040	18.89.3–34.6	2414.1–43.5
2041	22.310.6–36.6	29.216.6–45.4
2042	22.113.1–34.8	30.917.6–52.3
2043	239.6–38.3	32.416–51.2
2044	21.910.3–36.4	30.117.1–50.7
2045	22.310.5–35.5	29.414.1–46.6
2046	25.912.8–39.6	3318.1–50.4
2047	24.314.1–39.3	32.717.6–52.7
2048	26.414.1–40.8	35.519.2–56.3
2049	25.212.7–41	34.619.8–57.8
2050	29.514.9–44	38.920–58.3
2051	29.715.7–46.8	37.319.7–65.6
2052	29.116.4–47.8	42.321.3–67.1
2053	27.713.4–42.1	35.519.9–56.4
2054	31.514–51.7	43.823–73.8
2055	31.314.6–46.2	40.622.1–66.4
2056	28.914–46.4	37.819.9–64.7
2057	28.414.3–50.5	36.319.8–63.3
2058	3014–47.4	38.519.1–60.6
2059	34.319–50.7	46.824.8–70.1
2060	32.614.6–53.4	42.620.1–66.8
2061	33.215.2–53.9	42.920.8–66.2
2062	31.917–51.6	39.224.1–65.6
2063	30.715.7–50	40.424.4–62.1
2064	32.716.6–49.6	4122.2–59.1
2065	34.217–58.2	4523.3–75.1
2066	34.715.5–56.6	42.423.1–67.5
2067	30.417.4–53.3	38.622.2–72.6
2068	32.117.6–49.7	42.622.4–65
2069	35.916.2–53.5	45.524.4–72.1
2070	34.719.7–57	4223.8–65.3
2071	3618.1–56.3	43.622.9–68.4
2072	34.920–53.3	47.623.8–70.9
2073	4121.4–63.3	52.827.6–86.9
2074	34.820.5–59.6	49.329–82.9
2075	33.117.4–55.1	41.824.5–70.4
2076	36.317.9–62.2	44.125.3–76.6
2077	3720.5–59.7	47.728.3–86.8
2078	38.819.7–59.6	47.125–73.2
2079	39.420.8–63.6	48.326.6–83
2080	3820.3–64.5	54.828.1–82.5
2081	36.921–63.8	49.525.8–88.8
2082	36.522.8–61.1	46.129–81.5
2083	40.819.1–63.3	46.623.8–90.9
2084	41.121–60.8	52.128.9–75.3
2085	44.827.6–70.2	57.231.7–91.8
2086	36.821.5–66	49.230–75.3
2087	4321.7–67.6	52.130.2–87.7
2088	44.521.8–68.5	58.629.2–86.4
2089	45.726.7–62.3	55.432–84.2
2090	4423.3–67.1	54.730.4–83.6
2091	41.922.7–72.7	5226.4–87.2
2092	44.824.2–68.9	56.332.9–86.5
2093	41.921.7–68.5	53.624.6–86.7
2094	46.826–69.9	61.331.2–91.4
2095	4425.8–65.7	56.329.4–87.6
2096	4221.1–67.9	52.230.1–86.6
2097	40.420–65.5	48.627–81.7
2098	42.823.4–67.6	55.831.3–98.2
2099	44.621.7–77	54.931.1–96.5
2100	4523.4–66	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

赞比亚与津巴布韦对比

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冲突

冲突死亡人数赞比亚：2022 年为 0 人死亡津巴布韦：2022 年为 0 人死亡