科特迪瓦与南苏丹：35 °C 以上天数

2014 年35 °C 以上天数：科特迪瓦为 36.4 天，南苏丹为 115.2 天（CMIP6 气候模型中位数模拟）。 2014 年南苏丹的数值较高，高出 78.8 天，是科特迪瓦的 3.17 倍。

每年天数 · CMIP6

科特迪瓦南苏丹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 年科特迪瓦为 110.6 天，南苏丹为 172 天。

逐年数据

每年天数 · CMIP6

年份	科特迪瓦	南苏丹
2014	36.4	115.2
2013	37.7	111.2
2012	35	108.8
2011	35.7	112.9
2010	33.9	112.8
2009	32.7	104.3
2008	29.4	104.2
2007	31	100.7
2006	29.7	105.3
2005	32.3	102.8
2004	33.6	103.4
2003	30.8	102.5
2002	31.2	104.6
2001	32.8	108.9
2000	30.7	99.1
1999	29.5	97.8
1998	29.1	97.6
1997	28.5	99.2
1996	22	94
1995	23.7	94
1994	23.7	89.9
1993	19.8	84.6
1992	18.4	87.9
1991	27.1	95.2
1990	28.5	94
1989	24.1	93.6
1988	26.3	98
1987	25.3	97.7
1986	25.7	97.9
1985	24.4	89.8
1984	24.5	90.8
1983	24.3	90.8
1982	25.5	89.3
1981	25.4	96.2
1980	23.3	97.5
1979	24.1	95.4
1978	23.9	89.1
1977	23.5	92.9
1976	22.4	86.7
1975	21.1	91.5
1974	22.5	90
1973	22.7	90.1
1972	21.3	89.8
1971	21.8	84.8
1970	21.6	87.8
1969	23.9	90.8
1968	20.1	85.5
1967	18.6	84.3
1966	22.3	87
1965	19.2	82.2
1964	14.2	79.2
1963	22.2	84.4
1962	23.5	93.5
1961	22.7	90.4
1960	25.2	92
1959	23.5	90.1
1958	24.4	88
1957	21.8	90.7
1956	21.9	85.5
1955	25	87.3
1954	22.3	91
1953	20.9	95.5
1952	21	88.7
1951	24.3	93.2
1950	21.3	86.7

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

年份	科特迪瓦	南苏丹
2015	39.425–57.3	112.487.1–135.9
2016	35.216.8–50.3	103.878.8–129.9
2017	3620.5–51.5	114.384.4–134.8
2018	37.619–57.1	109.674.1–140.7
2019	37.320.4–58.7	107.285.2–133.3
2020	38.122.5–63	114.783–140.8
2021	39.826.1–54.4	112.182.3–137.9
2022	4525.4–64.1	108.880.6–137.3
2023	40.323.9–55.9	113.188.8–147.8
2024	43.329.5–64.3	121.591–149.4
2025	44.224.5–59.9	115.889.9–141.1
2026	44.322.5–67	112.283.6–145.9
2027	44.518.2–68.2	115.482.9–143.9
2028	45.423.3–70.2	118.387.9–145.1
2029	48.427.4–73.1	120.789.9–140.1
2030	47.826.8–74.8	117.292.5–147.7
2031	49.926.4–70.3	123.397.3–147.8
2032	50.425–75.3	118.791.5–148.1
2033	53.229.1–74.9	123.791.9–159.9
2034	51.430.2–72.8	120.889.9–159.1
2035	5128.1–75.7	122.892.3–153.1
2036	50.925.8–79.3	118.790.7–147.5
2037	60.830–84.2	127.792.4–161
2038	60.135.1–86.1	129.5101.9–159.2
2039	56.536.2–81.3	128.394.6–153.1
2040	54.231.5–91.5	125.894.8–150.7
2041	6539.9–87.6	133.899.2–157.8
2042	6137–84.8	129.3101.8–150.8
2043	56.936.2–84.4	124.788.4–161.9
2044	62.538.5–92.4	12893.3–153.7
2045	6638.2–93.7	134.398–166.7
2046	67.336.4–92.2	142.1102.3–172.2
2047	71.837.3–96.2	139.3111.2–169.4
2048	67.544.2–94.9	133.1102.8–175.4
2049	67.342.7–100.2	144106.7–173.4
2050	62.941–102.8	131.8102.7–175.9
2051	67.939.3–102.7	136.9103.8–181
2052	75.641.4–107	140.6107.1–170.7
2053	69.643.7–109.3	136.798.4–174.4
2054	72.942.2–107.6	143.499–172.9
2055	77.446.2–112.6	143.4108.5–177.2
2056	75.246.8–112.7	140.5106.1–187.1
2057	80.146.7–110.5	152.3116.4–191.2
2058	76.444.6–105.3	151.7101.9–183.5
2059	77.848.5–119.8	145.9103.5–182.1
2060	81.649.8–115.6	148.7106.5–190.2
2061	82.447.9–117.4	149.5111.4–191.8
2062	73.847.7–115.8	146.1106.4–194.6
2063	83.655.4–125.6	147.1109.1–180.2
2064	80.148.8–114.1	149.2109.2–185.1
2065	86.652.1–119	153.7122.4–192.3
2066	79.854.4–119.2	150.4119.4–190.7
2067	8152.6–119.3	149.8119–196.2
2068	87.151.2–124.3	153.9118.8–193.6
2069	9049.1–129.5	148.8111.4–191.2
2070	82.945.1–131.3	154.5117–195.8
2071	81.952.8–131.5	153.5117.6–200.4
2072	89.453–124.2	161.7122–189.2
2073	94.850–142.1	159.7124.4–198.7
2074	83.553.4–142.6	151.9106.9–200.6
2075	89.751.6–131.7	155.5106.6–190
2076	96.257.8–132	159.9116.3–216.8
2077	98.950.4–141.2	163.6123.7–216.5
2078	9157.1–137.8	161.4123.3–199.6
2079	94.156.6–139.9	158.8127.9–190.6
2080	103.354.6–141.4	161.6116.1–198.3
2081	96.658.5–139.2	163.3126.3–208.9
2082	98.855.7–136.5	159.2127.6–200.5
2083	99.660.7–141.8	168129–211.4
2084	98.557.3–141.8	162.7120.4–199.8
2085	108.660.6–148.6	166.1126.3–209.4
2086	102.359.9–144.7	162.5122.2–208.7
2087	99.854.5–143.3	163.7110.7–202.2
2088	101.756.4–138	164.8122.3–214.2
2089	89.560.4–138.3	162.4126–199.8
2090	98.358.5–146.7	167120.8–211.8
2091	103.466.1–145.8	165.6119.3–210.6
2092	109.559.6–150.7	173.9126.9–217.6
2093	102.561.4–163.2	168.8131.2–208.4
2094	102.361.8–153.6	171.1131.9–222.8
2095	115.160.6–159.8	171.7128.2–224.7
2096	104.661.5–158.1	166.3122.8–214.1
2097	96.659.8–152.6	165.8123.7–214.6
2098	10959.4–154	165.5125–217.9
2099	107.653.7–164.1	171126.6–227.6
2100	110.666.8–162	172124.2–217.9

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

科特迪瓦与南苏丹对比

健康

人口与社会

经济

教育

政治

冲突

冲突死亡人数科特迪瓦：2022 年为 0 人死亡南苏丹：2022 年为 679 人死亡