南苏丹与津巴布韦：35 °C 以上天数

2014 年35 °C 以上天数：南苏丹为 115.2 天，津巴布韦为 15.9 天（CMIP6 气候模型中位数模拟）。 2014 年南苏丹的数值较高，高出 99.3 天，是津巴布韦的 7.24 倍。

每年天数 · CMIP6

南苏丹津巴布韦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，南苏丹的数值都更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年南苏丹为 172 天，津巴布韦为 58.2 天。

逐年数据

每年天数 · CMIP6

年份	南苏丹	津巴布韦
2014	115.2	15.9
2013	111.2	17.1
2012	108.8	15.7
2011	112.9	12.5
2010	112.8	15.3
2009	104.3	13
2008	104.2	13.5
2007	100.7	14.3
2006	105.3	12.9
2005	102.8	14.6
2004	103.4	16.2
2003	102.5	15.4
2002	104.6	14.9
2001	108.9	14.6
2000	99.1	15.1
1999	97.8	12.5
1998	97.6	13.2
1997	99.2	12
1996	94	9.7
1995	94	10.5
1994	89.9	9.8
1993	84.6	7.4
1992	87.9	7.9
1991	95.2	8.9
1990	94	10.9
1989	93.6	12.1
1988	98	11.6
1987	97.7	10.5
1986	97.9	10.4
1985	89.8	8.9
1984	90.8	8.9
1983	90.8	9
1982	89.3	9.2
1981	96.2	9.7
1980	97.5	10
1979	95.4	9.3
1978	89.1	8
1977	92.9	9.4
1976	86.7	7.4
1975	91.5	10
1974	90	11
1973	90.1	10
1972	89.8	8.2
1971	84.8	8.4
1970	87.8	9.1
1969	90.8	9.3
1968	85.5	8.6
1967	84.3	7.4
1966	87	7.5
1965	82.2	8.4
1964	79.2	6.2
1963	84.4	6.3
1962	93.5	9.1
1961	90.4	8.8
1960	92	9
1959	90.1	9.6
1958	88	10.2
1957	90.7	9.9
1956	85.5	7.9
1955	87.3	11.2
1954	91	8.8
1953	95.5	8.6
1952	88.7	9.4
1951	93.2	8.3
1950	86.7	9

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

年份	南苏丹	津巴布韦
2015	112.487.1–135.9	17.19.2–27.4
2016	103.878.8–129.9	17.37.9–31.7
2017	114.384.4–134.8	189–29.3
2018	109.674.1–140.7	18.78.6–33.5
2019	107.285.2–133.3	18.48.7–28.5
2020	114.783–140.8	2211.6–34.5
2021	112.182.3–137.9	17.48.9–31.5
2022	108.880.6–137.3	22.111.3–34.2
2023	113.188.8–147.8	23.914.6–37.2
2024	121.591–149.4	22.712.2–35.4
2025	115.889.9–141.1	19.47.7–35.5
2026	112.283.6–145.9	23.213.8–35.1
2027	115.482.9–143.9	24.313.2–47.8
2028	118.387.9–145.1	23.213.4–42.3
2029	120.789.9–140.1	26.913.5–41.7
2030	117.292.5–147.7	24.713.5–44.4
2031	123.397.3–147.8	21.710.1–43.4
2032	118.791.5–148.1	23.913.4–37.9
2033	123.791.9–159.9	28.314.5–44.9
2034	120.889.9–159.1	30.915.4–52.5
2035	122.892.3–153.1	2714.6–44
2036	118.790.7–147.5	25.613–44.1
2037	127.792.4–161	29.415.2–46.3
2038	129.5101.9–159.2	3316.3–54
2039	128.394.6–153.1	26.413.6–43.8
2040	125.894.8–150.7	2414.1–43.5
2041	133.899.2–157.8	29.216.6–45.4
2042	129.3101.8–150.8	30.917.6–52.3
2043	124.788.4–161.9	32.416–51.2
2044	12893.3–153.7	30.117.1–50.7
2045	134.398–166.7	29.414.1–46.6
2046	142.1102.3–172.2	3318.1–50.4
2047	139.3111.2–169.4	32.717.6–52.7
2048	133.1102.8–175.4	35.519.2–56.3
2049	144106.7–173.4	34.619.8–57.8
2050	131.8102.7–175.9	38.920–58.3
2051	136.9103.8–181	37.319.7–65.6
2052	140.6107.1–170.7	42.321.3–67.1
2053	136.798.4–174.4	35.519.9–56.4
2054	143.499–172.9	43.823–73.8
2055	143.4108.5–177.2	40.622.1–66.4
2056	140.5106.1–187.1	37.819.9–64.7
2057	152.3116.4–191.2	36.319.8–63.3
2058	151.7101.9–183.5	38.519.1–60.6
2059	145.9103.5–182.1	46.824.8–70.1
2060	148.7106.5–190.2	42.620.1–66.8
2061	149.5111.4–191.8	42.920.8–66.2
2062	146.1106.4–194.6	39.224.1–65.6
2063	147.1109.1–180.2	40.424.4–62.1
2064	149.2109.2–185.1	4122.2–59.1
2065	153.7122.4–192.3	4523.3–75.1
2066	150.4119.4–190.7	42.423.1–67.5
2067	149.8119–196.2	38.622.2–72.6
2068	153.9118.8–193.6	42.622.4–65
2069	148.8111.4–191.2	45.524.4–72.1
2070	154.5117–195.8	4223.8–65.3
2071	153.5117.6–200.4	43.622.9–68.4
2072	161.7122–189.2	47.623.8–70.9
2073	159.7124.4–198.7	52.827.6–86.9
2074	151.9106.9–200.6	49.329–82.9
2075	155.5106.6–190	41.824.5–70.4
2076	159.9116.3–216.8	44.125.3–76.6
2077	163.6123.7–216.5	47.728.3–86.8
2078	161.4123.3–199.6	47.125–73.2
2079	158.8127.9–190.6	48.326.6–83
2080	161.6116.1–198.3	54.828.1–82.5
2081	163.3126.3–208.9	49.525.8–88.8
2082	159.2127.6–200.5	46.129–81.5
2083	168129–211.4	46.623.8–90.9
2084	162.7120.4–199.8	52.128.9–75.3
2085	166.1126.3–209.4	57.231.7–91.8
2086	162.5122.2–208.7	49.230–75.3
2087	163.7110.7–202.2	52.130.2–87.7
2088	164.8122.3–214.2	58.629.2–86.4
2089	162.4126–199.8	55.432–84.2
2090	167120.8–211.8	54.730.4–83.6
2091	165.6119.3–210.6	5226.4–87.2
2092	173.9126.9–217.6	56.332.9–86.5
2093	168.8131.2–208.4	53.624.6–86.7
2094	171.1131.9–222.8	61.331.2–91.4
2095	171.7128.2–224.7	56.329.4–87.6
2096	166.3122.8–214.1	52.230.1–86.6
2097	165.8123.7–214.6	48.627–81.7
2098	165.5125–217.9	55.831.3–98.2
2099	171126.6–227.6	54.931.1–96.5
2100	172124.2–217.9	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

南苏丹与津巴布韦对比

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冲突

冲突死亡人数南苏丹：2022 年为 679 人死亡津巴布韦：2022 年为 0 人死亡