科特迪瓦与索马里对比

科特迪瓦与索马里：热带夜

2014 年热带夜：科特迪瓦为 341.6 夜，索马里为 295.2 夜（CMIP6 气候模型中位数模拟）。 2014 年科特迪瓦的数值较高，高出 46.4 夜，是索马里的 1.16 倍。

在地图上查看其变化

每年夜数 · CMIP6

科特迪瓦与索马里：热带夜2014 年热带夜：科特迪瓦为 341.6 夜，索马里为 295.2 夜（CMIP6 气候模型中位数模拟）。 2014 年科特迪瓦的数值较高，高出 46.4 夜，是索马里的 1.16 倍。
科特迪瓦索马里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 年科特迪瓦为 359.6 夜，索马里为 328.2 夜。

逐年数据

每年夜数 · CMIP6

年份科特迪瓦索马里
2014341.6295.2
2013339.6296.8
2012342.3296.7
2011340.1297.1
2010338.6294.6
2009337.3293.5
2008337.1292.2
2007336.7293.3
2006336.6292.4
2005337.6292.3
2004334.8293.8
2003337.3293.5
2002336.1292.1
2001339.5292.4
2000334.6290.2
1999331.3288.6
1998332.7289.9
1997331.8288.8
1996329.9285
1995330.5285.2
1994327.9284.2
1993327.2280.2
1992322278.1
1991331.7286.6
1990334288.5
1989328.9285.1
1988327.5285.6
1987327.9282.5
1986329.2283.4
1985324.9279.6
1984325.8281.4
1983325.4277.1
1982324283.7
1981327282.5
1980323.1280
1979327.1280.4
1978324.2280.5
1977325.5282.9
1976321.7278.7
1975322.8276.8
1974322279.3
1973323.8280.8
1972322.4278.3
1971322278.2
1970322.2278.3
1969320.9276.8
1968319.8276.3
1967317.1274.3
1966318.4275.9
1965320275.2
1964314.7275.1
1963317.4272.9
1962324.1277.9
1961323.1280.3
1960325.5280.8
1959322.1278.8
1958322.4280.9
1957321.2280.3
1956321.2276.1
1955320.1280.1
1954325.6278.2
1953322.9277.2
1952319.4279.4
1951323.9279
1950317.8278.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份科特迪瓦索马里
2015339.1321.9–350.7299.3283.7–311
2016339.9324.6–349.1296.8282.3–308.3
2017340.5322.4–349.6299.6284.6–310.1
2018341.6327.4–351.6301.3287.9–310.2
2019338.5323.6–350.3299.1286.1–311.9
2020340.6324.2–352.9299.4285.3–310.3
2021340.8325.2–353.8302.4289.1–313.6
2022344327.2–353.4304.5289.7–314.6
2023341.2327.2–352.6304.1290.6–312.4
2024344.9331–353.9303.4290.1–317
2025342.4327.8–352.1303.1288.8–317.8
2026342.3326.6–353.3303.2288.7–315.4
2027343.9325.6–352.9303.8287.7–314.9
2028347.4333.6–355.5305.4291.3–316.8
2029347.2332.4–355.2307.8294–317.8
2030347.2332.1–353.8304.5289.6–314.9
2031349.3333.1–357.2307.4292.3–317.9
2032347.8331.5–356.9308.3292.4–319.6
2033348332.6–360.4307.2292–317.6
2034346.6331.7–355.8305.9292.3–321.2
2035348.9333.7–357.8308.7293.4–321.1
2036350.5332.7–359.1307.5295.4–317.7
2037349.8334.6–357.5310.1298.4–319.9
2038351.3338.9–358.2311.1296.4–323.2
2039350.6333.1–358.9308.6295.9–321.9
2040351.1336.2–359.6311.7295.9–324.2
2041350.8335.9–358312296.6–321.5
2042349.8337.3–358.6311.7295–325.7
2043348.4336.1–357.8312298–323.1
2044350.3337.5–359.2311.4297.3–323
2045351339.5–359.5312.3298.6–323
2046351.7337.6–358.6314.4299–327.7
2047352335.4–360.1315.8300.2–327.9
2048351.6339.9–360.3316.9302.8–327.5
2049353339.6–360.9314.9303.2–325.2
2050352340.6–359.3315.9300.6–324.5
2051353340.5–360.5314.9301.9–326.9
2052352339–359.8316.2301.6–329
2053352.7339–360.5314.8302.3–326.8
2054354.7339.5–360.9316.2301.5–330.1
2055353.4343.4–360.8317.4302.7–327.8
2056355.9339.6–362.8316.5302.9–332.3
2057356.3343–362316.8302.5–329.8
2058354.3344.5–361.3316.9300.7–330.9
2059355343.4–361.7320.8305.2–332.5
2060354.6343.3–362.1321.3305.7–331.9
2061354.6341.3–362.5317.8304.8–330.3
2062354.4340.8–361.3319.6304.3–336
2063355.4345.2–362.1320.9305.3–332
2064356.1344.6–362.9319.7306.8–330.5
2065355.5346.4–362.4318.3304.6–334.6
2066355.2344.5–361.2321307.9–333.9
2067355.3341.4–361.8320.5304.3–334.4
2068357.3346.3–363.6321.7305.6–336.3
2069355344.3–362.7322.3308.6–335.4
2070355.6344.2–362.3321.1305.3–335.6
2071356.8344.7–362.9324.5308.4–336.9
2072357.7346.2–363.1324.1308.2–334.1
2073356.6345.2–362.2323.7308.1–337.9
2074354.4342.1–362.7322306–334.6
2075356343.7–362.5323.6307.6–336.4
2076357.4348.5–363.3323.6309–333.3
2077358.1347.7–362.8324.2309.6–335.9
2078357.3346.8–363.2324.7310.1–333.7
2079357.4346.6–363.6323.2307.6–336.3
2080359.1349.4–364.7324.7310.6–337.8
2081358.8347.5–363.5323.2311.1–335.3
2082357346.9–363.4324.3309.4–336.4
2083357.8349.5–363.1323.6308.3–342.4
2084358.8349.3–363.4326.2309.4–337.5
2085359.7350.1–364327.7311.9–339.4
2086359347.7–363.8326.6311.1–340.2
2087358.8348.8–364.1327.3311.5–339.1
2088358347.4–363.7328.6308.2–341.6
2089357.4347.3–363.5326.7312–340.2
2090358.8346.1–363.9326.5311.7–339.5
2091358.3349.1–363.3328.6311.5–340.9
2092359.2347.5–364329.1312.2–341.8
2093359349.8–363.8327.3312.1–342.8
2094359.3350.1–363.1325.6312–336.2
2095358.1349.7–364329314–341.2
2096358.8348.3–365.1327.9311.6–341.9
2097358.9342.5–362.5325.6311–340
2098357.8348.1–363.6327.7311.4–341.1
2099359.2349.5–363.2327.3311.9–339.3
2100359.6348.3–363.8328.2313.4–341.2

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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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