喀麦隆与马拉维对比

喀麦隆与马拉维:热带夜

2014 年热带夜:喀麦隆为 238.7 夜,马拉维为 138.1 夜(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 100.6 夜,是马拉维的 1.73 倍。

每年夜数 · CMIP6

喀麦隆与马拉维:热带夜2014 年热带夜:喀麦隆为 238.7 夜,马拉维为 138.1 夜(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 100.6 夜,是马拉维的 1.73 倍。
喀麦隆马拉维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,马拉维为 213.3 夜。

逐年数据

每年夜数 · CMIP6

年份喀麦隆马拉维
2014238.7138.1
2013236.7138.9
2012242.2137.4
2011237.6136.6
2010230.4132.4
2009226.6131.4
2008223.1130.8
2007222.1132.8
2006220.1129.8
2005216.1129.5
2004217.6133.4
2003221132.5
2002215.5130.3
2001223134
2000210126.6
1999200.5124.8
1998203.5127.1
1997202124.2
1996190121.3
1995187.3120.9
1994183.1118.4
1993165.2113.8
1992156.7114.1
1991192.6120.9
1990200.7123.8
1989187.5120.5
1988185.8120.8
1987182.7118.8
1986188.9121.1
1985173.2115.7
1984172.9116.2
1983165.5115.5
1982176.3115.1
1981182.6119
1980173.6116.9
1979175.8117.7
1978172.8114.8
1977175.7117.2
1976164.5114
1975159.5114
1974166.8115.2
1973170.4114.7
1972165.2113.8
1971161.3114.1
1970164.4115.8
1969160114.3
1968157.8110
1967147.9109.8
1966156.5111
1965151.6111.5
1964143.1106.3
1963145.9107.5
1962171.8114.7
1961167.2116
1960176.2117.4
1959166.5115.6
1958169.2116.4
1957168.2114.6
1956160111.4
1955163.7115.2
1954167.6113.9
1953168.2113
1952165.7113.5
1951172.8113.5
1950162.8112.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份喀麦隆马拉维
2015242.2196.9–270.8145.7126.7–164.3
2016237.7192.1–259.9139.8122.6–157.4
2017245.8205.7–271.3143.6127–161.8
2018245.7208–270.5143.1124.6–162.6
2019243.7200.2–275.6143.8128.3–161.4
2020246.4210.4–278145127.3–165.8
2021255.2220.2–279.6145.3128–163.6
2022255.8221–285.7151130.1–169.1
2023254.5221.7–284.1149.2129.5–171.2
2024263225.8–286.8152.4130–172.6
2025257.3222.7–293.9151.1129.7–170.4
2026260.4211.9–292151.1126.2–173.8
2027258.5223.8–291.5154.4135.1–173.1
2028266.9235.5–294.7155.5134.6–174
2029269.9242.3–293.5159.8139.2–178.5
2030266.6229–293.5155.6138.7–174.5
2031273.2229.9–298.5161.1143.4–177.6
2032269.8240.6–296.2160.8141.3–181.3
2033271.8235.6–303.4161.3135.6–179.2
2034268.1239.2–299.1160.9138.9–185
2035277.5241.5–302.7164.3140.4–189.5
2036275.7235.1–301.3163.8137.6–182.5
2037283.5252.3–305.9166.9144.6–189.2
2038285.8258–307.9172.2148.4–191.2
2039280.9250.4–305.8164.8147.3–188.2
2040279.5252.1–310.6164.4146.4–189.7
2041284.5254.6–309.9169.3143.7–192.5
2042284.8253.6–313.2169.8146.3–197.8
2043281.2251.4–309.8167.5147.1–193.2
2044283.8244.4–312.3172.6148.3–197
2045286.8253.7–311.4170.4153.1–194.7
2046296.1260.6–318.1176.3151.2–203.1
2047294.3260.7–316.6178.7157.8–200.9
2048297.3265.6–318.1180.7158.9–204.1
2049298.3267.8–318.1176.7154–205.4
2050296.9267.9–322.7180.4155.2–204.9
2051297.8266.7–319.9182.9162.1–207.4
2052298.7270.1–322.3184.9163.2–209.6
2053297.7261.3–321.7177.2149.6–207.4
2054301.2268.2–324.6185.1157.1–208
2055301.3276.5–324.3186.1159.2–212.6
2056302.1270.4–329.2184.6158.5–214.3
2057305.4277.7–327.4184.7159.3–212.3
2058302.6272.1–325.2188.5163.8–214.7
2059306.2279.6–330.1189.8166.9–218.5
2060306.1276.1–331.1192.6163.4–218.1
2061304.4267.2–329.7186.4158.8–216.8
2062307.6266.2–332.2192.3163.9–218.6
2063309.1272.5–328.8189.2165.2–220.3
2064308.5278.7–331197161.3–218
2065311.3284.1–329.6193.1165.8–225.2
2066311.9284–332.7201170.1–224.7
2067310.1271.7–335.6193.1164.2–223.7
2068312.9278.7–335198.6163.7–227.1
2069310.4278.4–333.4199.4165.8–225
2070309.8281.2–334.9198.7168–226.7
2071316.4282.3–336199.3167.9–233.5
2072315.4289.2–335.3202.3173.2–226.2
2073314282.6–339.5205.4168.2–233.4
2074311.7281.9–336.8198.2175.4–227.7
2075314.8285.3–335.3199.6168.9–228.3
2076315.2284.7–338.4198.8169.8–225.2
2077318.2289.7–341.4202172.2–231.2
2078315.8286.4–338.5203.5175.8–232.1
2079317.7287.8–337.5203.6172.2–236.1
2080321.5285.9–341.7204.7172.2–234.3
2081318.7290–339202.2174.9–231.3
2082316.2289–337.7204.3178.3–228.6
2083317.7288.2–341.6205.8170.7–238.3
2084318.5284.5–342.1208.1175.9–235.6
2085323.4294–342.7211.1179.4–241
2086319.5292.3–343203.3175.4–237
2087318292.7–342.5205.3181.2–237.7
2088320.4288.1–342211.6174.7–240.6
2089320.1289.6–340.7208.9180.5–237.8
2090322.4292.8–342.6209.4173.4–243
2091322.6289.9–345214.3179.7–244.8
2092324.9291.6–343.6213.2176.8–242.3
2093322.3299.7–342.6212.5177.8–242.2
2094324299.3–343.4211.8179.7–241.5
2095326.4300.2–346.4216.9185–243.8
2096322.1294.4–346.4213.1182–247.6
2097320.9287.4–342.5210.8174.9–242.1
2098323.1293.8–344.4214.4181.5–242.2
2099322.6295.7–344.2213.5181.9–244.1
2100324.2293.6–346.6213.3181.5–246.3

分别查看各国

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

喀麦隆与马拉维对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境