南非与泰国：35 °C 以上天数

2014 年35 °C 以上天数：南非为 13.2 天，泰国为 39.9 天（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 26.8 天，是南非的 3.03 倍。

每年天数 · CMIP6

南非泰国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，泰国的数值都更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年南非为 40 天，泰国为 95.9 天。

逐年数据

每年天数 · CMIP6

年份	南非	泰国
2014	13.2	39.9
2013	15.2	42.1
2012	14.3	40.1
2011	11.7	39.9
2010	12.5	39.8
2009	13.2	37.9
2008	12.3	36
2007	12	33
2006	11.9	39.2
2005	13.3	34.9
2004	13.9	39.4
2003	12.6	34.1
2002	12.6	36.3
2001	11.1	37.8
2000	11.8	32.5
1999	11	29.7
1998	12.1	33.3
1997	11.3	33.7
1996	9.4	31.3
1995	8.3	33.5
1994	8.5	33.5
1993	7.8	30.4
1992	7.1	25.5
1991	11.1	35.4
1990	10.1	37.7
1989	11.5	29.3
1988	9.4	30.6
1987	11.5	31.2
1986	10.2	34.3
1985	8.7	29.3
1984	8.7	32.4
1983	8.6	30.4
1982	10.5	33.1
1981	9.7	29.5
1980	10.3	28.8
1979	9.4	32.4
1978	9.5	26.1
1977	9.3	31.5
1976	9	29.7
1975	9.3	25
1974	8.8	31.5
1973	9.5	34.5
1972	8.4	30.3
1971	8.7	27.1
1970	8.2	28.7
1969	8.9	29.9
1968	8.4	29.4
1967	6.9	28.3
1966	7.8	25.4
1965	7.9	27.1
1964	6.4	26.6
1963	7	26
1962	8.9	28.7
1961	10.5	31.1
1960	9.7	32.9
1959	8.9	24.4
1958	9.3	33
1957	10.3	27.8
1956	7.9	27.1
1955	10.3	31.2
1954	9.1	30.3
1953	7.8	28.2
1952	9	34.1
1951	8.4	33
1950	8.7	28.5

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

年份	南非	泰国
2015	14.76.8–24	41.123.5–66.3
2016	13.46.3–22.2	38.915.7–61.2
2017	15.27.7–24.6	41.420.8–64.9
2018	179.7–28	43.521.7–65.5
2019	14.67.1–24.5	40.916.5–61.9
2020	15.77.4–23.5	45.617.3–66.6
2021	17.99.4–27	43.720.7–70.7
2022	189.8–29	47.826.4–73.3
2023	18.69.9–27.1	41.822.3–67.2
2024	17.89.8–28	44.726.9–70.9
2025	16.57.5–29.6	50.227.3–77
2026	20.19.3–29.4	44.425.2–80.5
2027	19.910.5–32.8	47.126.2–75.6
2028	19.110.6–33.2	51.123.1–73.3
2029	21.412.9–33.6	56.733.9–84.7
2030	21.19.6–33.9	50.726.1–78.9
2031	20.79.9–35.4	50.531.5–81.2
2032	2110.9–34.8	49.823.6–85.7
2033	22.612.2–34.2	53.432–73.7
2034	24.615–35.1	51.531.6–83.4
2035	20.911.7–31.3	52.228.9–89.2
2036	21.111.9–32.2	53.335.2–77.4
2037	23.412.6–35.2	57.632–82.5
2038	26.216–36.7	62.238.5–91.5
2039	22.611.4–35.9	55.127.8–78.8
2040	21.510.9–35.4	53.728.4–91.3
2041	23.213.2–35.8	6337.5–86.6
2042	25.214.3–39.6	54.826.4–94.7
2043	25.613.4–39.9	57.129.8–85.3
2044	26.113.1–41.6	57.336.7–95.7
2045	26.813.1–40.3	54.934.2–90.2
2046	25.914.5–40.8	62.736.4–102.1
2047	26.713.7–41.4	63.635–98.5
2048	29.215.6–45.4	72.237.4–110.4
2049	29.117.3–44.7	66.240.8–98.3
2050	29.815.7–48.6	64.536.9–95.3
2051	27.913.6–45.2	66.135.5–97.1
2052	31.918.3–46.8	74.339.3–108.1
2053	28.318.6–43.2	64.635–106.7
2054	30.717.3–50.1	69.144.2–112.1
2055	2917.8–48	71.445.3–107.6
2056	29.916–45.3	70.536.5–117.7
2057	3117.4–50.1	7240–104.6
2058	31.115.7–46	73.140.6–107.3
2059	3216.1–49.9	77.251.2–121.4
2060	33.419.8–49.7	80.946–117
2061	32.718.1–51.1	77.335.3–117.8
2062	31.317.7–52.6	73.535.5–125.8
2063	32.317.4–50.7	83.640.3–122.6
2064	31.817.7–47.6	74.746.9–111.8
2065	31.716.2–50.7	69.939.5–124.8
2066	34.318.4–55.3	80.250.7–122.7
2067	32.617.2–52.4	69.437.9–116
2068	33.819.2–54.3	76.445.8–131.7
2069	34.621.3–52.4	77.747.4–128.7
2070	32.819.3–51.1	73.839.2–129.5
2071	35.320.8–55.8	80.642.2–131.6
2072	37.820.3–54.6	81.347.5–135.3
2073	4425.6–62.1	88.854.2–133.4
2074	38.320.7–55.8	8444.3–128.1
2075	34.218.7–53.1	82.838.3–123.9
2076	38.822.9–57.5	82.937.1–132.9
2077	39.124.2–60.3	8849.4–132.4
2078	35.521.6–53.4	91.252–137
2079	40.522.9–59.7	85.749.5–144.4
2080	40.523.4–59	88.552.7–143.6
2081	38.523.8–59.9	87.150.9–135.1
2082	38.622.5–58.2	89.953.5–133.6
2083	38.518.7–62.9	87.145.8–149.7
2084	39.720.6–58.4	8447.7–131
2085	4021.5–65.8	93.853.8–141.8
2086	40.823–63.7	87.745.8–139.2
2087	38.324.6–58.6	86.447.4–139.2
2088	42.222.6–66.3	90.441.7–153.2
2089	41.624.2–59.1	90.149–151.2
2090	42.326.1–66.4	87.853.3–154.1
2091	43.324.2–63.6	8648.2–148.6
2092	43.928–61.6	92.650.2–149.9
2093	37.521.3–63.4	89.854.6–159
2094	41.325.4–65.9	95.549.6–143.6
2095	43.522.9–70.2	103.458.2–156.3
2096	41.224.1–66.8	89.951.3–155.4
2097	37.723.7–60.9	94.550.2–142.6
2098	46.425.1–71.4	89.851.6–149.6
2099	42.525.1–64.8	88.244.7–147.4
2100	4022.2–64.5	95.951.1–153.3

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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

南非与泰国对比

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冲突

冲突死亡人数南非：2022 年为 0 人死亡泰国：2022 年为 46 人死亡