刚果（金）与马拉维对比

刚果（金）与马拉维：热带夜

2014 年热带夜：刚果（金）为 248.5 夜，马拉维为 138.1 夜（CMIP6 气候模型中位数模拟）。 2014 年刚果（金）的数值较高，高出 110.4 夜，是马拉维的 1.8 倍。

在地图上查看其变化

每年夜数 · CMIP6

刚果（金）与马拉维：热带夜2014 年热带夜：刚果（金）为 248.5 夜，马拉维为 138.1 夜（CMIP6 气候模型中位数模拟）。 2014 年刚果（金）的数值较高，高出 110.4 夜，是马拉维的 1.8 倍。
刚果（金）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，刚果（金）的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年刚果（金）为 324.1 夜，马拉维为 213.3 夜。

逐年数据

每年夜数 · CMIP6

年份刚果（金）马拉维
2014248.5138.1
2013249.2138.9
2012250.9137.4
2011248.7136.6
2010243.5132.4
2009243131.4
2008239.7130.8
2007237.7132.8
2006239129.8
2005237.3129.5
2004238.5133.4
2003239.3132.5
2002236.5130.3
2001242.5134
2000233.5126.6
1999226.2124.8
1998230.6127.1
1997226.6124.2
1996218.6121.3
1995217.2120.9
1994211.9118.4
1993201.5113.8
1992197.6114.1
1991220.1120.9
1990225.4123.8
1989218.4120.5
1988216.7120.8
1987216.6118.8
1986216.8121.1
1985206.1115.7
1984205.9116.2
1983204.3115.5
1982204.5115.1
1981215.2119
1980211.4116.9
1979208.5117.7
1978202.6114.8
1977206.5117.2
1976201.9114
1975199114
1974204115.2
1973208.4114.7
1972202.5113.8
1971196.3114.1
1970201.7115.8
1969197.3114.3
1968199110
1967188.8109.8
1966194.7111
1965189111.5
1964177.3106.3
1963178.5107.5
1962203.2114.7
1961203.9116
1960209.8117.4
1959203.3115.6
1958204.3116.4
1957204114.6
1956197.6111.4
1955200.5115.2
1954201113.9
1953204.6113
1952201.9113.5
1951204.8113.5
1950200.8112.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份刚果（金）马拉维
2015256.6217.3–277.7145.7126.7–164.3
2016247.7213.3–269.3139.8122.6–157.4
2017257.4226.6–278.3143.6127–161.8
2018258.8228.1–276.8143.1124.6–162.6
2019255.8222.6–278.7143.8128.3–161.4
2020259.4227.4–282.3145127.3–165.8
2021262.6234.7–283.8145.3128–163.6
2022264.8235.1–288.5151130.1–169.1
2023263.9236.8–287.2149.2129.5–171.2
2024270.9237.9–290152.4130–172.6
2025266.1230.6–292.2151.1129.7–170.4
2026267.4226.8–294.5151.1126.2–173.8
2027268.6230.6–293.6154.4135.1–173.1
2028271.7239.7–295.9155.5134.6–174
2029275.9249.3–296.6159.8139.2–178.5
2030270.4241.7–296.1155.6138.7–174.5
2031279.4246.6–297.5161.1143.4–177.6
2032277.9249.4–302.3160.8141.3–181.3
2033276.9245.9–301.6161.3135.6–179.2
2034276.7247.4–305.6160.9138.9–185
2035281243.7–305.1164.3140.4–189.5
2036278.3244.7–304.9163.8137.6–182.5
2037286.9256.1–308.6166.9144.6–189.2
2038289261.5–307.1172.2148.4–191.2
2039284.7253.4–307.3164.8147.3–188.2
2040284.5254.7–311.5164.4146.4–189.7
2041289.9258.4–310.8169.3143.7–192.5
2042286.9254.1–314.3169.8146.3–197.8
2043285.9253–313167.5147.1–193.2
2044288.3253.6–312.5172.6148.3–197
2045289.4260.1–314.1170.4153.1–194.7
2046298.3261.3–317.3176.3151.2–203.1
2047298.5268.2–317.8178.7157.8–200.9
2048299.1268–320.8180.7158.9–204.1
2049300.3269.6–320.4176.7154–205.4
2050297.8267.2–320.6180.4155.2–204.9
2051298.4272.3–323.1182.9162.1–207.4
2052300.2271.5–324184.9163.2–209.6
2053298.7265.5–322.6177.2149.6–207.4
2054300.6269.6–322.8185.1157.1–208
2055301.9274.9–325.6186.1159.2–212.6
2056302.1266.2–328.3184.6158.5–214.3
2057305.1274.4–326.5184.7159.3–212.3
2058305.3274.1–327.1188.5163.8–214.7
2059305.4279–329.6189.8166.9–218.5
2060310.7273.5–330.2192.6163.4–218.1
2061307266.1–329.8186.4158.8–216.8
2062308.8269.1–332192.3163.9–218.6
2063308.4277.6–328.4189.2165.2–220.3
2064310.6278.4–329.6197161.3–218
2065311.9282.4–331.2193.1165.8–225.2
2066310.4284.2–330.3201170.1–224.7
2067308.8275.9–334193.1164.2–223.7
2068313.9280.8–334.6198.6163.7–227.1
2069312.1270.6–332.7199.4165.8–225
2070309.6278–334198.7168–226.7
2071312.6285–336.5199.3167.9–233.5
2072317287.7–334.6202.3173.2–226.2
2073316.2291.2–337.1205.4168.2–233.4
2074311.6284.5–334.9198.2175.4–227.7
2075312.3279.3–335.2199.6168.9–228.3
2076315.9288.7–337.1198.8169.8–225.2
2077318.5292.6–338.2202172.2–231.2
2078315287.3–337.1203.5175.8–232.1
2079314.8286.3–336203.6172.2–236.1
2080318.5286.8–337.8204.7172.2–234.3
2081318.4287.8–336.7202.2174.9–231.3
2082318.7289.8–336.5204.3178.3–228.6
2083317.4290.6–340.9205.8170.7–238.3
2084321.6293.8–339.8208.1175.9–235.6
2085324.4294.3–341.4211.1179.4–241
2086319290.7–340.7203.3175.4–237
2087318.3291.9–339.6205.3181.2–237.7
2088320.9292.9–340211.6174.7–240.6
2089322.1293.9–339.8208.9180.5–237.8
2090320.4295.5–341.7209.4173.4–243
2091325.4294.3–343.3214.3179.7–244.8
2092321.5294.4–342.4213.2176.8–242.3
2093323.1297.8–341.2212.5177.8–242.2
2094323.1296.5–341.1211.8179.7–241.5
2095325.6299.1–343.7216.9185–243.8
2096321.8296.2–344.1213.1182–247.6
2097321.5292.6–342210.8174.9–242.1
2098324.2295.1–342.8214.4181.5–242.2
2099322.8293.7–344.6213.5181.9–244.1
2100324.1292.1–344.1213.3181.5–246.3

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

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