刚果（金）与科特迪瓦对比

刚果（金）与科特迪瓦：热带夜

2014 年热带夜：刚果（金）为 248.5 夜，科特迪瓦为 341.6 夜（CMIP6 气候模型中位数模拟）。 2014 年科特迪瓦的数值较高，高出 93.1 夜，是刚果（金）的 1.37 倍。

在地图上查看其变化

每年夜数 · CMIP6

刚果（金）与科特迪瓦：热带夜2014 年热带夜：刚果（金）为 248.5 夜，科特迪瓦为 341.6 夜（CMIP6 气候模型中位数模拟）。 2014 年科特迪瓦的数值较高，高出 93.1 夜，是刚果（金）的 1.37 倍。
刚果（金）科特迪瓦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，科特迪瓦的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年刚果（金）为 324.1 夜，科特迪瓦为 359.6 夜。

逐年数据

每年夜数 · CMIP6

年份刚果（金）科特迪瓦
2014248.5341.6
2013249.2339.6
2012250.9342.3
2011248.7340.1
2010243.5338.6
2009243337.3
2008239.7337.1
2007237.7336.7
2006239336.6
2005237.3337.6
2004238.5334.8
2003239.3337.3
2002236.5336.1
2001242.5339.5
2000233.5334.6
1999226.2331.3
1998230.6332.7
1997226.6331.8
1996218.6329.9
1995217.2330.5
1994211.9327.9
1993201.5327.2
1992197.6322
1991220.1331.7
1990225.4334
1989218.4328.9
1988216.7327.5
1987216.6327.9
1986216.8329.2
1985206.1324.9
1984205.9325.8
1983204.3325.4
1982204.5324
1981215.2327
1980211.4323.1
1979208.5327.1
1978202.6324.2
1977206.5325.5
1976201.9321.7
1975199322.8
1974204322
1973208.4323.8
1972202.5322.4
1971196.3322
1970201.7322.2
1969197.3320.9
1968199319.8
1967188.8317.1
1966194.7318.4
1965189320
1964177.3314.7
1963178.5317.4
1962203.2324.1
1961203.9323.1
1960209.8325.5
1959203.3322.1
1958204.3322.4
1957204321.2
1956197.6321.2
1955200.5320.1
1954201325.6
1953204.6322.9
1952201.9319.4
1951204.8323.9
1950200.8317.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份刚果（金）科特迪瓦
2015256.6217.3–277.7339.1321.9–350.7
2016247.7213.3–269.3339.9324.6–349.1
2017257.4226.6–278.3340.5322.4–349.6
2018258.8228.1–276.8341.6327.4–351.6
2019255.8222.6–278.7338.5323.6–350.3
2020259.4227.4–282.3340.6324.2–352.9
2021262.6234.7–283.8340.8325.2–353.8
2022264.8235.1–288.5344327.2–353.4
2023263.9236.8–287.2341.2327.2–352.6
2024270.9237.9–290344.9331–353.9
2025266.1230.6–292.2342.4327.8–352.1
2026267.4226.8–294.5342.3326.6–353.3
2027268.6230.6–293.6343.9325.6–352.9
2028271.7239.7–295.9347.4333.6–355.5
2029275.9249.3–296.6347.2332.4–355.2
2030270.4241.7–296.1347.2332.1–353.8
2031279.4246.6–297.5349.3333.1–357.2
2032277.9249.4–302.3347.8331.5–356.9
2033276.9245.9–301.6348332.6–360.4
2034276.7247.4–305.6346.6331.7–355.8
2035281243.7–305.1348.9333.7–357.8
2036278.3244.7–304.9350.5332.7–359.1
2037286.9256.1–308.6349.8334.6–357.5
2038289261.5–307.1351.3338.9–358.2
2039284.7253.4–307.3350.6333.1–358.9
2040284.5254.7–311.5351.1336.2–359.6
2041289.9258.4–310.8350.8335.9–358
2042286.9254.1–314.3349.8337.3–358.6
2043285.9253–313348.4336.1–357.8
2044288.3253.6–312.5350.3337.5–359.2
2045289.4260.1–314.1351339.5–359.5
2046298.3261.3–317.3351.7337.6–358.6
2047298.5268.2–317.8352335.4–360.1
2048299.1268–320.8351.6339.9–360.3
2049300.3269.6–320.4353339.6–360.9
2050297.8267.2–320.6352340.6–359.3
2051298.4272.3–323.1353340.5–360.5
2052300.2271.5–324352339–359.8
2053298.7265.5–322.6352.7339–360.5
2054300.6269.6–322.8354.7339.5–360.9
2055301.9274.9–325.6353.4343.4–360.8
2056302.1266.2–328.3355.9339.6–362.8
2057305.1274.4–326.5356.3343–362
2058305.3274.1–327.1354.3344.5–361.3
2059305.4279–329.6355343.4–361.7
2060310.7273.5–330.2354.6343.3–362.1
2061307266.1–329.8354.6341.3–362.5
2062308.8269.1–332354.4340.8–361.3
2063308.4277.6–328.4355.4345.2–362.1
2064310.6278.4–329.6356.1344.6–362.9
2065311.9282.4–331.2355.5346.4–362.4
2066310.4284.2–330.3355.2344.5–361.2
2067308.8275.9–334355.3341.4–361.8
2068313.9280.8–334.6357.3346.3–363.6
2069312.1270.6–332.7355344.3–362.7
2070309.6278–334355.6344.2–362.3
2071312.6285–336.5356.8344.7–362.9
2072317287.7–334.6357.7346.2–363.1
2073316.2291.2–337.1356.6345.2–362.2
2074311.6284.5–334.9354.4342.1–362.7
2075312.3279.3–335.2356343.7–362.5
2076315.9288.7–337.1357.4348.5–363.3
2077318.5292.6–338.2358.1347.7–362.8
2078315287.3–337.1357.3346.8–363.2
2079314.8286.3–336357.4346.6–363.6
2080318.5286.8–337.8359.1349.4–364.7
2081318.4287.8–336.7358.8347.5–363.5
2082318.7289.8–336.5357346.9–363.4
2083317.4290.6–340.9357.8349.5–363.1
2084321.6293.8–339.8358.8349.3–363.4
2085324.4294.3–341.4359.7350.1–364
2086319290.7–340.7359347.7–363.8
2087318.3291.9–339.6358.8348.8–364.1
2088320.9292.9–340358347.4–363.7
2089322.1293.9–339.8357.4347.3–363.5
2090320.4295.5–341.7358.8346.1–363.9
2091325.4294.3–343.3358.3349.1–363.3
2092321.5294.4–342.4359.2347.5–364
2093323.1297.8–341.2359349.8–363.8
2094323.1296.5–341.1359.3350.1–363.1
2095325.6299.1–343.7358.1349.7–364
2096321.8296.2–344.1358.8348.3–365.1
2097321.5292.6–342358.9342.5–362.5
2098324.2295.1–342.8357.8348.1–363.6
2099322.8293.7–344.6359.2349.5–363.2
2100324.1292.1–344.1359.6348.3–363.8

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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

刚果（金）与科特迪瓦对比

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