柬埔寨与泰国：35 °C 以上天数

2014 年35 °C 以上天数：柬埔寨为 45.7 天，泰国为 39.9 天（CMIP6 气候模型中位数模拟）。 2014 年柬埔寨的数值较高，高出 5.8 天，是泰国的 1.14 倍。

每年天数 · CMIP6

柬埔寨泰国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 1969 年超过泰国以来，柬埔寨的数值一直更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年柬埔寨为 117.2 天，泰国为 95.9 天。

逐年数据

每年天数 · CMIP6

年份	柬埔寨	泰国
2014	45.7	39.9
2013	50.7	42.1
2012	48.8	40.1
2011	50.1	39.9
2010	48.4	39.8
2009	44.1	37.9
2008	44	36
2007	40.8	33
2006	46	39.2
2005	44.2	34.9
2004	46.4	39.4
2003	42.3	34.1
2002	44.3	36.3
2001	48.1	37.8
2000	36.9	32.5
1999	32.8	29.7
1998	39.3	33.3
1997	38.3	33.7
1996	34.4	31.3
1995	36.2	33.5
1994	38.5	33.5
1993	34.5	30.4
1992	26.6	25.5
1991	40.2	35.4
1990	44.6	37.7
1989	32.4	29.3
1988	36	30.6
1987	35.7	31.2
1986	38.6	34.3
1985	31.7	29.3
1984	35	32.4
1983	34.7	30.4
1982	38.9	33.1
1981	31.8	29.5
1980	30.8	28.8
1979	38.2	32.4
1978	28.5	26.1
1977	37.6	31.5
1976	32	29.7
1975	28.8	25
1974	35.5	31.5
1973	38.3	34.5
1972	31.4	30.3
1971	31.7	27.1
1970	31.1	28.7
1969	33	29.9
1968	27.7	29.4
1967	29.8	28.3
1966	27.9	25.4
1965	29.6	27.1
1964	30.6	26.6
1963	28.3	26
1962	29.3	28.7
1961	37.9	31.1
1960	36.6	32.9
1959	25.7	24.4
1958	37.4	33
1957	27.7	27.8
1956	26.3	27.1
1955	35.3	31.2
1954	32.8	30.3
1953	34.1	28.2
1952	38.4	34.1
1951	38.6	33
1950	31.1	28.5

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

年份	柬埔寨	泰国
2015	50.827.7–77.7	41.123.5–66.3
2016	48.210.9–70.1	38.915.7–61.2
2017	49.627–75.6	41.420.8–64.9
2018	50.426.8–79.7	43.521.7–65.5
2019	52.220.7–72.4	40.916.5–61.9
2020	53.324.2–84.5	45.617.3–66.6
2021	53.425.4–86.5	43.720.7–70.7
2022	57.540.4–90.6	47.826.4–73.3
2023	51.925.2–85.8	41.822.3–67.2
2024	56.830.5–87.6	44.726.9–70.9
2025	62.731.1–89.3	50.227.3–77
2026	54.228–90.9	44.425.2–80.5
2027	60.633.2–86	47.126.2–75.6
2028	64.131–90.9	51.123.1–73.3
2029	74.940.4–104.1	56.733.9–84.7
2030	67.533.6–91.6	50.726.1–78.9
2031	64.537.3–106.6	50.531.5–81.2
2032	65.725–106.8	49.823.6–85.7
2033	69.540.2–93.5	53.432–73.7
2034	64.838.7–99.9	51.531.6–83.4
2035	67.428.6–104.7	52.228.9–89.2
2036	66.341.5–88.7	53.335.2–77.4
2037	7434.6–100.7	57.632–82.5
2038	76.846.8–110.7	62.238.5–91.5
2039	68.434.7–95.8	55.127.8–78.8
2040	6939–108.2	53.728.4–91.3
2041	76.848.8–107.3	6337.5–86.6
2042	70.226.4–116.8	54.826.4–94.7
2043	69.533.8–110.5	57.129.8–85.3
2044	73.445.3–122.5	57.336.7–95.7
2045	68.143.9–106.8	54.934.2–90.2
2046	7846.6–117.4	62.736.4–102.1
2047	82.247.8–122	63.635–98.5
2048	88.343.9–134.8	72.237.4–110.4
2049	85.248.1–124	66.240.8–98.3
2050	80.553.2–111.5	64.536.9–95.3
2051	83.240.7–123.1	66.135.5–97.1
2052	88.250.6–126.8	74.339.3–108.1
2053	85.546.6–124	64.635–106.7
2054	8655.2–136.3	69.144.2–112.1
2055	88.450.5–131.9	71.445.3–107.6
2056	82.442.6–138	70.536.5–117.7
2057	89.147.8–122.8	7240–104.6
2058	87.346.8–135.5	73.140.6–107.3
2059	93.961.6–143.2	77.251.2–121.4
2060	98.854.5–142.1	80.946–117
2061	88.639.7–136.9	77.335.3–117.8
2062	89.638.2–150.8	73.535.5–125.8
2063	103.254.3–138.4	83.640.3–122.6
2064	93.264.2–136.2	74.746.9–111.8
2065	87.652.3–147.9	69.939.5–124.8
2066	100.463.4–145.2	80.250.7–122.7
2067	87.746.7–137.7	69.437.9–116
2068	95.461.2–147.8	76.445.8–131.7
2069	96.158.9–152.1	77.747.4–128.7
2070	90.852.1–154.7	73.839.2–129.5
2071	97.559.3–151.3	80.642.2–131.6
2072	102.759.4–162.2	81.347.5–135.3
2073	109.168–148.7	88.854.2–133.4
2074	98.842.7–151.5	8444.3–128.1
2075	99.348.6–142.4	82.838.3–123.9
2076	104.339.4–152.3	82.937.1–132.9
2077	110.344.8–153.2	8849.4–132.4
2078	110.757.2–152.1	91.252–137
2079	10656–162.3	85.749.5–144.4
2080	112.752.2–159	88.552.7–143.6
2081	105.558.5–156.7	87.150.9–135.1
2082	110.259.7–153.3	89.953.5–133.6
2083	106.353.9–171.7	87.145.8–149.7
2084	102.354.4–154.7	8447.7–131
2085	113.265.6–166.7	93.853.8–141.8
2086	111.154.4–159.1	87.745.8–139.2
2087	107.555.6–164.4	86.447.4–139.2
2088	110.853.7–176.5	90.441.7–153.2
2089	108.558.9–173.9	90.149–151.2
2090	11067.3–179.7	87.853.3–154.1
2091	102.761.1–177.9	8648.2–148.6
2092	114.257.9–162	92.650.2–149.9
2093	106.567.6–173.9	89.854.6–159
2094	120.659.4–166.6	95.549.6–143.6
2095	123.265.4–177.7	103.458.2–156.3
2096	110.463.2–176.3	89.951.3–155.4
2097	117.256–165.1	94.550.2–142.6
2098	108.759.9–180.4	89.851.6–149.6
2099	112.650.6–167.9	88.244.7–147.4
2100	117.260.3–181.4	95.951.1–153.3

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

柬埔寨与泰国对比

健康

人口与社会

经济

教育

政治

冲突

冲突死亡人数柬埔寨：2022 年为 0 人死亡泰国：2022 年为 46 人死亡