刚果（金）与泰国对比

刚果（金）与泰国：热带夜

2014 年热带夜：刚果（金）为 248.5 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 37.9 夜，是刚果（金）的 1.15 倍。

在地图上查看其变化

每年夜数 · CMIP6

刚果（金）与泰国：热带夜2014 年热带夜：刚果（金）为 248.5 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 37.9 夜，是刚果（金）的 1.15 倍。
刚果（金）泰国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，泰国的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年刚果（金）为 324.1 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份刚果（金）泰国
2014248.5286.4
2013249.2289.1
2012250.9286.6
2011248.7286.4
2010243.5286
2009243286.9
2008239.7284.8
2007237.7283.2
2006239284.3
2005237.3281.7
2004238.5287.5
2003239.3279.3
2002236.5280
2001242.5285.5
2000233.5283.4
1999226.2282.5
1998230.6282.7
1997226.6284.8
1996218.6279.8
1995217.2278.7
1994211.9280.8
1993201.5275.6
1992197.6268.8
1991220.1276.7
1990225.4279.2
1989218.4278.4
1988216.7279.6
1987216.6277.9
1986216.8277.5
1985206.1276
1984205.9277.9
1983204.3273.9
1982204.5275.7
1981215.2277.8
1980211.4277.9
1979208.5278
1978202.6276
1977206.5277.3
1976201.9275.6
1975199274.4
1974204276
1973208.4280.6
1972202.5273.9
1971196.3273.2
1970201.7276
1969197.3274.8
1968199277
1967188.8270.3
1966194.7274.4
1965189275.8
1964177.3271.9
1963178.5274.7
1962203.2275.4
1961203.9278.5
1960209.8276.2
1959203.3274.4
1958204.3278.7
1957204277.4
1956197.6277
1955200.5274.6
1954201275
1953204.6275.4
1952201.9275.1
1951204.8277.5
1950200.8276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份刚果（金）泰国
2015256.6217.3–277.7290.6272.2–305
2016247.7213.3–269.3287.1269.8–306.2
2017257.4226.6–278.3290273.8–302.8
2018258.8228.1–276.8292.6275.1–308.7
2019255.8222.6–278.7291.2272.8–306.7
2020259.4227.4–282.3292.4272.2–307.8
2021262.6234.7–283.8294.2276.3–308.5
2022264.8235.1–288.5294.8277.2–311.9
2023263.9236.8–287.2296.1281.9–310.2
2024270.9237.9–290291.7275.5–307.8
2025266.1230.6–292.2294276.7–306.3
2026267.4226.8–294.5296278–309.3
2027268.6230.6–293.6295.8276.3–311.1
2028271.7239.7–295.9297279.3–315.1
2029275.9249.3–296.6300.3278.7–315
2030270.4241.7–296.1297.7280.2–312.5
2031279.4246.6–297.5300.8282.8–317.1
2032277.9249.4–302.3297.2280.9–311.4
2033276.9245.9–301.6300281.9–315.8
2034276.7247.4–305.6300.8279–318.4
2035281243.7–305.1298.6281.5–317.8
2036278.3244.7–304.9300.4279.9–316.9
2037286.9256.1–308.6299.8280–315.1
2038289261.5–307.1304.8286.6–319.3
2039284.7253.4–307.3300.9281.9–317
2040284.5254.7–311.5301.6284.5–315.7
2041289.9258.4–310.8303.1285.1–318.8
2042286.9254.1–314.3303.8290–318.3
2043285.9253–313302285.8–317.9
2044288.3253.6–312.5304.3286.3–318.8
2045289.4260.1–314.1307.1287.7–324.2
2046298.3261.3–317.3305.9285.2–321
2047298.5268.2–317.8306.6289.5–321.5
2048299.1268–320.8309.4288.9–325.7
2049300.3269.6–320.4308.1287.2–324.1
2050297.8267.2–320.6307.5291–321.5
2051298.4272.3–323.1312.8294.8–326
2052300.2271.5–324310.9291.2–323.4
2053298.7265.5–322.6308.3289.5–323.3
2054300.6269.6–322.8308.8292.8–322.3
2055301.9274.9–325.6308.6290.6–325.1
2056302.1266.2–328.3311.3294.9–326.3
2057305.1274.4–326.5308.5286.7–326.4
2058305.3274.1–327.1308291.1–325.1
2059305.4279–329.6312.7295.8–325.3
2060310.7273.5–330.2313.1294.6–328.6
2061307266.1–329.8314.4289.5–331.1
2062308.8269.1–332311.4293.4–330.3
2063308.4277.6–328.4314.8296.9–327.3
2064310.6278.4–329.6312.5295.4–330
2065311.9282.4–331.2309.6293.1–329.3
2066310.4284.2–330.3312.1292.6–328
2067308.8275.9–334311.2289.6–329.4
2068313.9280.8–334.6310.8292.4–330.6
2069312.1270.6–332.7315.5296.1–329.5
2070309.6278–334314.2292.9–330.7
2071312.6285–336.5313.8296.4–330.8
2072317287.7–334.6314.8296–329.6
2073316.2291.2–337.1316.5299.9–332.1
2074311.6284.5–334.9317.2295–333.8
2075312.3279.3–335.2317.2295.3–331.4
2076315.9288.7–337.1317.4299.8–335
2077318.5292.6–338.2317.5297.3–335.9
2078315287.3–337.1315.9297.1–331.6
2079314.8286.3–336318.5300.5–332.3
2080318.5286.8–337.8319.8297.4–337.5
2081318.4287.8–336.7317.7299.5–334.9
2082318.7289.8–336.5317.9294.8–333
2083317.4290.6–340.9315297.8–332.9
2084321.6293.8–339.8316295.5–330
2085324.4294.3–341.4322.6300.8–334.7
2086319290.7–340.7319.4295.2–335.2
2087318.3291.9–339.6320.2302.2–334.7
2088320.9292.9–340321.4299.8–334.8
2089322.1293.9–339.8318.9296.4–338.1
2090320.4295.5–341.7317.6304–337.4
2091325.4294.3–343.3320.1299.8–336.1
2092321.5294.4–342.4316.3298–336.4
2093323.1297.8–341.2316.1297.7–333.7
2094323.1296.5–341.1323.4301.8–337.3
2095325.6299.1–343.7322.9302.4–338.9
2096321.8296.2–344.1319.6302.8–336.7
2097321.5292.6–342319.8299.1–336
2098324.2295.1–342.8320.5303.9–336
2099322.8293.7–344.6319.9303.1–334.4
2100324.1292.1–344.1320.8301.1–336.7

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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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