喀麦隆与津巴布韦：热带夜

2014 年热带夜：喀麦隆为 238.7 夜，津巴布韦为 76.4 夜（CMIP6 气候模型中位数模拟）。 2014 年喀麦隆的数值较高，高出 162.3 夜，是津巴布韦的 3.13 倍。

每年夜数 · CMIP6

喀麦隆津巴布韦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，喀麦隆的数值都更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年喀麦隆为 324.2 夜，津巴布韦为 148.3 夜。

逐年数据

每年夜数 · CMIP6

年份	喀麦隆	津巴布韦
2014	238.7	76.4
2013	236.7	78.4
2012	242.2	75.9
2011	237.6	73.3
2010	230.4	71.5
2009	226.6	69.6
2008	223.1	69.8
2007	222.1	69.3
2006	220.1	70.3
2005	216.1	69.5
2004	217.6	71.8
2003	221	72.9
2002	215.5	71.3
2001	223	71.3
2000	210	67.4
1999	200.5	62.3
1998	203.5	66.3
1997	202	62
1996	190	57.7
1995	187.3	58.9
1994	183.1	56.8
1993	165.2	50.1
1992	156.7	52.1
1991	192.6	58.7
1990	200.7	61.5
1989	187.5	60.4
1988	185.8	61.6
1987	182.7	57.3
1986	188.9	58.6
1985	173.2	54.1
1984	172.9	54.6
1983	165.5	53.3
1982	176.3	53.7
1981	182.6	57
1980	173.6	57.3
1979	175.8	56.2
1978	172.8	53.1
1977	175.7	55.2
1976	164.5	51.2
1975	159.5	53.6
1974	166.8	54.2
1973	170.4	53.9
1972	165.2	53.2
1971	161.3	51.1
1970	164.4	53.1
1969	160	53.3
1968	157.8	48.7
1967	147.9	48.7
1966	156.5	48.8
1965	151.6	48.6
1964	143.1	44.6
1963	145.9	47.4
1962	171.8	55.8
1961	167.2	51.6
1960	176.2	55.6
1959	166.5	53.6
1958	169.2	55.3
1957	168.2	53.2
1956	160	48.6
1955	163.7	54.4
1954	167.6	53
1953	168.2	51.8
1952	165.7	52.7
1951	172.8	52.3
1950	162.8	51.8

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

年份	喀麦隆	津巴布韦
2015	242.2196.9–270.8	79.463.5–98.5
2016	237.7192.1–259.9	78.657.9–101.7
2017	245.8205.7–271.3	81.263.3–98.5
2018	245.7208–270.5	82.160.5–104.1
2019	243.7200.2–275.6	82.863.9–102.3
2020	246.4210.4–278	84.362.9–106.9
2021	255.2220.2–279.6	82.564.7–102.7
2022	255.8221–285.7	89.870.1–108.8
2023	254.5221.7–284.1	90.672.5–110.7
2024	263225.8–286.8	93.769.8–113.4
2025	257.3222.7–293.9	8865.1–114.6
2026	260.4211.9–292	89.767.8–113.9
2027	258.5223.8–291.5	95.668.4–119.6
2028	266.9235.5–294.7	93.371.4–115.7
2029	269.9242.3–293.5	100.277.2–120
2030	266.6229–293.5	9671.6–115.3
2031	273.2229.9–298.5	9874.9–119.8
2032	269.8240.6–296.2	98.574.7–118.5
2033	271.8235.6–303.4	98.974–120.6
2034	268.1239.2–299.1	100.277.3–128.1
2035	277.5241.5–302.7	103.975.7–130.6
2036	275.7235.1–301.3	100.878–123
2037	283.5252.3–305.9	10882.1–131.1
2038	285.8258–307.9	110.986.5–135
2039	280.9250.4–305.8	102.480.4–122.3
2040	279.5252.1–310.6	101.379.5–133.5
2041	284.5254.6–309.9	108.483.7–134.2
2042	284.8253.6–313.2	108.883.1–139.9
2043	281.2251.4–309.8	107.985.7–137.3
2044	283.8244.4–312.3	111.287–134.8
2045	286.8253.7–311.4	106.186.2–130.7
2046	296.1260.6–318.1	112.386.4–139.1
2047	294.3260.7–316.6	119.692.1–145.9
2048	297.3265.6–318.1	116.888.4–143.9
2049	298.3267.8–318.1	119.290.4–146.2
2050	296.9267.9–322.7	122.794.1–148.6
2051	297.8266.7–319.9	122.4100.9–147.7
2052	298.7270.1–322.3	124.2101.3–152.8
2053	297.7261.3–321.7	121.689–146.9
2054	301.2268.2–324.6	123.993.9–150.8
2055	301.3276.5–324.3	126.597.9–153.7
2056	302.1270.4–329.2	126.198–154.7
2057	305.4277.7–327.4	122.797.6–150.7
2058	302.6272.1–325.2	125.3103–154.1
2059	306.2279.6–330.1	132.2107.4–157.4
2060	306.1276.1–331.1	132.599.9–159
2061	304.4267.2–329.7	126.694.2–161.1
2062	307.6266.2–332.2	126.399.6–157.3
2063	309.1272.5–328.8	127.7101–159.7
2064	308.5278.7–331	130.498–151.3
2065	311.3284.1–329.6	132.4107.6–165.6
2066	311.9284–332.7	134.5106.8–159.8
2067	310.1271.7–335.6	125.598.9–160.5
2068	312.9278.7–335	134102.3–166.1
2069	310.4278.4–333.4	136.9106.4–164.2
2070	309.8281.2–334.9	133.199.8–166.3
2071	316.4282.3–336	135.2108.4–173.7
2072	315.4289.2–335.3	140.4110.6–166.8
2073	314282.6–339.5	140.9109.7–173.6
2074	311.7281.9–336.8	135.5112–170.6
2075	314.8285.3–335.3	136108.5–166.6
2076	315.2284.7–338.4	133.7105.9–163.7
2077	318.2289.7–341.4	140.2114.3–170.6
2078	315.8286.4–338.5	137.5111.3–172.3
2079	317.7287.8–337.5	136.9110.2–172.6
2080	321.5285.9–341.7	145115.8–173.2
2081	318.7290–339	147.2106.5–174.1
2082	316.2289–337.7	141.4111.4–169.9
2083	317.7288.2–341.6	143.6106.5–179.2
2084	318.5284.5–342.1	149.4117.3–176.9
2085	323.4294–342.7	154.3114.9–182.7
2086	319.5292.3–343	141.7115.3–176.1
2087	318292.7–342.5	142.7116.8–177.3
2088	320.4288.1–342	150.2118.3–178.9
2089	320.1289.6–340.7	148.9121.3–176.4
2090	322.4292.8–342.6	145.7113.7–179.4
2091	322.6289.9–345	149.7116.5–181.8
2092	324.9291.6–343.6	149.4119.7–181.7
2093	322.3299.7–342.6	152.5117.1–184.1
2094	324299.3–343.4	150.9117.3–182.2
2095	326.4300.2–346.4	155118.3–181.5
2096	322.1294.4–346.4	152.4113.1–189.2
2097	320.9287.4–342.5	144.1113.8–183.3
2098	323.1293.8–344.4	152.4119.2–187
2099	322.6295.7–344.2	152.9117.3–185
2100	324.2293.6–346.6	148.3120.1–184.6

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须知

一年中气温始终高于 20 °C 的夜晚数，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

喀麦隆与津巴布韦对比

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经济

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政治

冲突

冲突死亡人数喀麦隆：2022 年为 660 人死亡津巴布韦：2022 年为 0 人死亡