刚果（金）与印度对比

刚果（金）与印度：热带夜

2014 年热带夜：刚果（金）为 248.5 夜，印度为 215.5 夜（CMIP6 气候模型中位数模拟）。 2014 年刚果（金）的数值较高，高出 33 夜，是印度的 1.15 倍。

在地图上查看其变化

每年夜数 · CMIP6

刚果（金）与印度：热带夜2014 年热带夜：刚果（金）为 248.5 夜，印度为 215.5 夜（CMIP6 气候模型中位数模拟）。 2014 年刚果（金）的数值较高，高出 33 夜，是印度的 1.15 倍。
刚果（金）印度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 1994 年超过印度以来，刚果（金）的数值一直更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年刚果（金）为 324.1 夜，印度为 250.4 夜。

逐年数据

每年夜数 · CMIP6

年份刚果（金）印度
2014248.5215.5
2013249.2216
2012250.9217.4
2011248.7215.5
2010243.5215.2
2009243213.7
2008239.7213.7
2007237.7213.3
2006239212.5
2005237.3212.9
2004238.5214.9
2003239.3212.1
2002236.5213
2001242.5212.2
2000233.5210.8
1999226.2211.9
1998230.6210.3
1997226.6209.5
1996218.6207
1995217.2208.8
1994211.9207.1
1993201.5206
1992197.6203.5
1991220.1208
1990225.4209.9
1989218.4208
1988216.7207.3
1987216.6207.2
1986216.8207.2
1985206.1205.9
1984205.9206.7
1983204.3203.3
1982204.5205.7
1981215.2208.4
1980211.4205.3
1979208.5205.5
1978202.6204.1
1977206.5205.9
1976201.9204.6
1975199202.6
1974204205.3
1973208.4205.6
1972202.5203.8
1971196.3203.6
1970201.7202.6
1969197.3203.6
1968199201.7
1967188.8201.6
1966194.7203.9
1965189202.4
1964177.3201.2
1963178.5201.8
1962203.2203.8
1961203.9206.3
1960209.8206
1959203.3206.1
1958204.3204
1957204206.5
1956197.6204
1955200.5203.2
1954201206
1953204.6204
1952201.9204.4
1951204.8204.3
1950200.8206.3
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份刚果（金）印度
2015256.6217.3–277.7216.9202.1–228.4
2016247.7213.3–269.3215202.5–227.6
2017257.4226.6–278.3216.2202.1–228.5
2018258.8228.1–276.8218.3204.5–231.4
2019255.8222.6–278.7217.4202.3–230.4
2020259.4227.4–282.3217.6203.1–232
2021262.6234.7–283.8219.7204.5–233.2
2022264.8235.1–288.5220.5205.8–233
2023263.9236.8–287.2220.4206.4–233.7
2024270.9237.9–290222.6208.1–236.3
2025266.1230.6–292.2219.7202.7–236.2
2026267.4226.8–294.5220.2204.2–236.8
2027268.6230.6–293.6223.6207.1–239
2028271.7239.7–295.9222.1205.1–235.7
2029275.9249.3–296.6225.4210–240.3
2030270.4241.7–296.1222.7207.3–235.6
2031279.4246.6–297.5223.8207.1–237.8
2032277.9249.4–302.3225.9210–240.5
2033276.9245.9–301.6223.8209.3–235.4
2034276.7247.4–305.6225.8210–242.7
2035281243.7–305.1224.9210.6–240.9
2036278.3244.7–304.9224.2210.4–240.3
2037286.9256.1–308.6228.3213.6–242.6
2038289261.5–307.1228.1212.6–241.4
2039284.7253.4–307.3227.4211.9–242.8
2040284.5254.7–311.5227212.2–242
2041289.9258.4–310.8227.1210.7–240.5
2042286.9254.1–314.3229.1214.8–244.2
2043285.9253–313228.9214.5–244
2044288.3253.6–312.5229.7214.7–244.2
2045289.4260.1–314.1231.2216.6–246.1
2046298.3261.3–317.3232.6216.2–248.6
2047298.5268.2–317.8232.4215.5–250
2048299.1268–320.8235.6218.5–254.3
2049300.3269.6–320.4235.3218.3–249.9
2050297.8267.2–320.6233.5216.6–253.4
2051298.4272.3–323.1234.9218.6–249.9
2052300.2271.5–324234219.4–249.3
2053298.7265.5–322.6234.9219.5–252.5
2054300.6269.6–322.8237.2219.4–253.1
2055301.9274.9–325.6237.2220.7–256.6
2056302.1266.2–328.3238.8221.2–254.9
2057305.1274.4–326.5235.7218.5–253.8
2058305.3274.1–327.1238.8222.8–254.1
2059305.4279–329.6241.1224.9–256.2
2060310.7273.5–330.2240.9225.6–255.6
2061307266.1–329.8237.9220.6–253.7
2062308.8269.1–332239.9221.2–259.7
2063308.4277.6–328.4239.9222.3–256.1
2064310.6278.4–329.6240223.8–256.3
2065311.9282.4–331.2240.9222.9–257.3
2066310.4284.2–330.3241.5224.1–258.6
2067308.8275.9–334241.6224.8–257.9
2068313.9280.8–334.6242.3224.6–262.1
2069312.1270.6–332.7242.8225.4–259.1
2070309.6278–334240.1225.3–257.1
2071312.6285–336.5241.8223.7–260.2
2072317287.7–334.6242.6225.4–259.2
2073316.2291.2–337.1243.8228–259.3
2074311.6284.5–334.9241.6226.9–258.4
2075312.3279.3–335.2243.5226.4–258.2
2076315.9288.7–337.1243.2224.6–259.9
2077318.5292.6–338.2243.7226.6–264.6
2078315287.3–337.1246.7230.1–261.5
2079314.8286.3–336244.9226.4–261.3
2080318.5286.8–337.8246.7227–263.7
2081318.4287.8–336.7247.5230.4–264.8
2082318.7289.8–336.5244.6227.9–262.3
2083317.4290.6–340.9247.5227.8–265.1
2084321.6293.8–339.8247.3228.3–266.8
2085324.4294.3–341.4246.5227.5–267.1
2086319290.7–340.7245.6227.7–266.5
2087318.3291.9–339.6245.5226.7–266.2
2088320.9292.9–340247229.4–266.9
2089322.1293.9–339.8248.1230–266.3
2090320.4295.5–341.7249228.9–266.4
2091325.4294.3–343.3248.9230–266.5
2092321.5294.4–342.4249.8232.3–267.8
2093323.1297.8–341.2248.1229–266.5
2094323.1296.5–341.1249.1230.6–268.4
2095325.6299.1–343.7251233.2–270
2096321.8296.2–344.1247.8231.4–269.3
2097321.5292.6–342251.1231.4–268
2098324.2295.1–342.8252.3230.8–268.3
2099322.8293.7–344.6248.7230.1–268.3
2100324.1292.1–344.1250.4232.9–266.7

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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。

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