刚果（金）与巴基斯坦对比

刚果（金）与巴基斯坦：热带夜

2014 年热带夜：刚果（金）为 248.5 夜，巴基斯坦为 149.9 夜（CMIP6 气候模型中位数模拟）。 2014 年刚果（金）的数值较高，高出 98.6 夜，是巴基斯坦的 1.66 倍。

在地图上查看其变化

每年夜数 · CMIP6

刚果（金）与巴基斯坦：热带夜2014 年热带夜：刚果（金）为 248.5 夜，巴基斯坦为 149.9 夜（CMIP6 气候模型中位数模拟）。 2014 年刚果（金）的数值较高，高出 98.6 夜，是巴基斯坦的 1.66 倍。
刚果（金）巴基斯坦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，巴基斯坦为 177.6 夜。

逐年数据

每年夜数 · CMIP6

年份刚果（金）巴基斯坦
2014248.5149.9
2013249.2149.1
2012250.9149.9
2011248.7149
2010243.5148.4
2009243147.1
2008239.7147.4
2007237.7147.3
2006239146.7
2005237.3146.5
2004238.5147.5
2003239.3146
2002236.5148.3
2001242.5145.4
2000233.5144.7
1999226.2146.9
1998230.6144.8
1997226.6143.2
1996218.6141.2
1995217.2141.8
1994211.9142.1
1993201.5140.4
1992197.6139.9
1991220.1142.5
1990225.4142.6
1989218.4142.5
1988216.7140.3
1987216.6140
1986216.8140
1985206.1140
1984205.9138.9
1983204.3136.3
1982204.5138.5
1981215.2141.5
1980211.4139.5
1979208.5139.1
1978202.6139
1977206.5138.6
1976201.9139.2
1975199136.5
1974204138.7
1973208.4137.8
1972202.5137.4
1971196.3136
1970201.7137.7
1969197.3135.9
1968199136.6
1967188.8135.2
1966194.7136.9
1965189138.3
1964177.3135.1
1963178.5135.7
1962203.2137
1961203.9138.6
1960209.8139
1959203.3138.6
1958204.3137.7
1957204140
1956197.6137.8
1955200.5137.5
1954201137.8
1953204.6136.9
1952201.9138.1
1951204.8136.7
1950200.8139.1
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份刚果（金）巴基斯坦
2015256.6217.3–277.7152.4138.7–163.3
2016247.7213.3–269.3150.6139.4–161.7
2017257.4226.6–278.3151.3138.8–162
2018258.8228.1–276.8152.6139.8–161.8
2019255.8222.6–278.7151.8138.1–163.3
2020259.4227.4–282.3153.1140.3–164.5
2021262.6234.7–283.8154.1140.6–165.7
2022264.8235.1–288.5153.1140.2–165.7
2023263.9236.8–287.2155.5141.6–165.9
2024270.9237.9–290156.8143.3–168.7
2025266.1230.6–292.2155.7141.5–168.6
2026267.4226.8–294.5155.3142.2–167.9
2027268.6230.6–293.6156.8140.9–168.9
2028271.7239.7–295.9156.5143.9–167.6
2029275.9249.3–296.6155.9141.5–167.7
2030270.4241.7–296.1156.3143.3–167.6
2031279.4246.6–297.5157.3144.4–168.1
2032277.9249.4–302.3157.4142.5–169.6
2033276.9245.9–301.6157.7143.6–169.4
2034276.7247.4–305.6159.5145.6–173.4
2035281243.7–305.1159.3146.7–170.3
2036278.3244.7–304.9159.1147.5–171.4
2037286.9256.1–308.6162.2147.5–175.3
2038289261.5–307.1161.4148.6–171.7
2039284.7253.4–307.3160148.2–170.4
2040284.5254.7–311.5160.9147.9–171.3
2041289.9258.4–310.8160.8146.7–171.7
2042286.9254.1–314.3162.3149.9–175.6
2043285.9253–313161.1150.3–173.8
2044288.3253.6–312.5163150.9–173.9
2045289.4260.1–314.1163149.5–174.8
2046298.3261.3–317.3163.5149.8–177.2
2047298.5268.2–317.8165.2151.8–178.5
2048299.1268–320.8166.4154.1–179.4
2049300.3269.6–320.4165150.8–178.2
2050297.8267.2–320.6166.9153.5–179.3
2051298.4272.3–323.1165.6150.8–180
2052300.2271.5–324166.7155.4–179.5
2053298.7265.5–322.6166.3154.2–178.8
2054300.6269.6–322.8167.5153.9–181
2055301.9274.9–325.6167.8155.8–182.5
2056302.1266.2–328.3166.3153.6–179.7
2057305.1274.4–326.5168.3153.9–182.3
2058305.3274.1–327.1167.5157–179.9
2059305.4279–329.6170.9155.9–183.8
2060310.7273.5–330.2170.3156.5–181.8
2061307266.1–329.8168.8156.8–179.6
2062308.8269.1–332171.6153.5–186.5
2063308.4277.6–328.4171.3159.5–183.8
2064310.6278.4–329.6170.2155.3–184.5
2065311.9282.4–331.2169.7156.4–185
2066310.4284.2–330.3172.2157–186.7
2067308.8275.9–334173.2160.2–186.3
2068313.9280.8–334.6172.6157.7–186.3
2069312.1270.6–332.7171.8157.3–185.6
2070309.6278–334171.7158.9–186.7
2071312.6285–336.5173.4158.7–186.8
2072317287.7–334.6174161.5–186.9
2073316.2291.2–337.1175.6157.2–187.9
2074311.6284.5–334.9173.5160–186.3
2075312.3279.3–335.2173161.5–187.8
2076315.9288.7–337.1172.9158.8–186.7
2077318.5292.6–338.2175161.3–187.8
2078315287.3–337.1174.4160.9–189.3
2079314.8286.3–336172.5158.3–187.7
2080318.5286.8–337.8175.1160.7–189.2
2081318.4287.8–336.7174.9159.2–190.2
2082318.7289.8–336.5175.4161.8–190.6
2083317.4290.6–340.9176.5161.8–190.8
2084321.6293.8–339.8176.1160.9–190.5
2085324.4294.3–341.4176.3161.9–193.6
2086319290.7–340.7173.9160–189.1
2087318.3291.9–339.6176161–193.1
2088320.9292.9–340175.4160.5–195.2
2089322.1293.9–339.8177.2164.2–191.7
2090320.4295.5–341.7177.7163.9–192.2
2091325.4294.3–343.3177.8162.8–192.2
2092321.5294.4–342.4178.7162.9–192.9
2093323.1297.8–341.2177164–191
2094323.1296.5–341.1176.8164.1–190.7
2095325.6299.1–343.7178.6163.8–193.1
2096321.8296.2–344.1177.8163.7–192.5
2097321.5292.6–342177.3160.4–192.5
2098324.2295.1–342.8178.7162.6–195.7
2099322.8293.7–344.6176159.9–193.2
2100324.1292.1–344.1177.6162.2–193

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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

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