吉布提与索马里对比

吉布提与索马里：热带夜

2014 年热带夜：吉布提为 293.4 夜，索马里为 295.2 夜（CMIP6 气候模型中位数模拟）。 2014 年索马里的数值较高，高出 1.8 夜，是吉布提的 1.01 倍。

在地图上查看其变化

每年夜数 · CMIP6

吉布提与索马里：热带夜2014 年热带夜：吉布提为 293.4 夜，索马里为 295.2 夜（CMIP6 气候模型中位数模拟）。 2014 年索马里的数值较高，高出 1.8 夜，是吉布提的 1.01 倍。
吉布提索马里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 2012 年超过吉布提以来，索马里的数值一直更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年吉布提为 346.9 夜，索马里为 328.2 夜。

逐年数据

每年夜数 · CMIP6

年份吉布提索马里
2014293.4295.2
2013296.4296.8
2012294.3296.7
2011298.1297.1
2010289.9294.6
2009290.6293.5
2008289.4292.2
2007288.4293.3
2006289.6292.4
2005286.8292.3
2004286.7293.8
2003289.3293.5
2002286.6292.1
2001285.6292.4
2000282.5290.2
1999278.7288.6
1998278.1289.9
1997281.9288.8
1996277.8285
1995275.4285.2
1994274.8284.2
1993276.7280.2
1992271278.1
1991278.5286.6
1990280.9288.5
1989277.5285.1
1988273.9285.6
1987270.7282.5
1986274.9283.4
1985269.9279.6
1984271.4281.4
1983269.3277.1
1982275.2283.7
1981271.2282.5
1980270.8280
1979272.1280.4
1978272.5280.5
1977277.4282.9
1976269.6278.7
1975266.9276.8
1974267.5279.3
1973267280.8
1972266.3278.3
1971268.7278.2
1970272.1278.3
1969266.2276.8
1968267.6276.3
1967263.1274.3
1966263.2275.9
1965263.6275.2
1964268275.1
1963263.7272.9
1962265.9277.9
1961272.8280.3
1960273.8280.8
1959267.1278.8
1958272.5280.9
1957268.9280.3
1956269.1276.1
1955271.4280.1
1954269278.2
1953266.7277.2
1952270.8279.4
1951270.6279
1950270.8278.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份吉布提索马里
2015299.3274.4–316.3299.3283.7–311
2016298.5270.5–316.5296.8282.3–308.3
2017299.5269.3–317.1299.6284.6–310.1
2018301.1285–316.6301.3287.9–310.2
2019295.1275.3–319.8299.1286.1–311.9
2020298.4277.9–319.3299.4285.3–310.3
2021301277.1–325.6302.4289.1–313.6
2022309.1280.2–331.2304.5289.7–314.6
2023306.7285.5–326304.1290.6–312.4
2024306.5286.3–331303.4290.1–317
2025306.7276.4–329.6303.1288.8–317.8
2026307.8278.9–330.9303.2288.7–315.4
2027309.1286.6–334.5303.8287.7–314.9
2028313295.2–337.3305.4291.3–316.8
2029314.6294.8–336.4307.8294–317.8
2030309.3281.2–326.3304.5289.6–314.9
2031314.8285.3–332.3307.4292.3–317.9
2032317.1290.4–338.2308.3292.4–319.6
2033311.6285.5–332.4307.2292–317.6
2034307.3287.4–335.2305.9292.3–321.2
2035311.7291.1–333.1308.7293.4–321.1
2036311.8290.1–333.4307.5295.4–317.7
2037312.9294.8–339.2310.1298.4–319.9
2038316.5291.2–338.3311.1296.4–323.2
2039315.3286.9–336.4308.6295.9–321.9
2040317.1296.7–341.3311.7295.9–324.2
2041321.8297.1–337.1312296.6–321.5
2042318.4295.6–347.5311.7295–325.7
2043321.6298.6–342.1312298–323.1
2044317.4296–344.6311.4297.3–323
2045321.6295.9–338.6312.3298.6–323
2046325.9299.3–347.7314.4299–327.7
2047327.5304.3–348315.8300.2–327.9
2048330.4316.6–349.2316.9302.8–327.5
2049330.6315.4–343.4314.9303.2–325.2
2050326308.8–343.1315.9300.6–324.5
2051326.3309–341.7314.9301.9–326.9
2052326.3304.4–350.7316.2301.6–329
2053328.4299.8–348.8314.8302.3–326.8
2054329.5306.2–349.6316.2301.5–330.1
2055332310.8–351.2317.4302.7–327.8
2056329.4308.6–350.3316.5302.9–332.3
2057331.6311.6–348.2316.8302.5–329.8
2058330.3304.2–354.3316.9300.7–330.9
2059337.7317.3–352.1320.8305.2–332.5
2060338.1316.8–354.7321.3305.7–331.9
2061333.4314.9–350.2317.8304.8–330.3
2062331.6309.8–351.8319.6304.3–336
2063337.3310–351.6320.9305.3–332
2064336.8315.1–353.3319.7306.8–330.5
2065332.2311.2–353.8318.3304.6–334.6
2066339.8321.6–354.6321307.9–333.9
2067339.1312.7–350.6320.5304.3–334.4
2068342308.3–358321.7305.6–336.3
2069341.9320.6–357.3322.3308.6–335.4
2070342.7311.5–355.2321.1305.3–335.6
2071341.9317.5–357.4324.5308.4–336.9
2072342.6316.3–353.8324.1308.2–334.1
2073343.5320.3–358.3323.7308.1–337.9
2074336.5317–353.1322306–334.6
2075340.6314.1–356.2323.6307.6–336.4
2076341.8318.1–353.4323.6309–333.3
2077340.8320.8–354.3324.2309.6–335.9
2078341.6321–357.5324.7310.1–333.7
2079340.7320.3–358.1323.2307.6–336.3
2080342322.8–358.5324.7310.6–337.8
2081338.9318.1–357.5323.2311.1–335.3
2082341317.8–355.8324.3309.4–336.4
2083341.4310.4–358.3323.6308.3–342.4
2084343320.6–357.4326.2309.4–337.5
2085348.7321.3–359.1327.7311.9–339.4
2086348.6326.5–361.3326.6311.1–340.2
2087347.9327.9–358.3327.3311.5–339.1
2088344.9323–358.9328.6308.2–341.6
2089349.8321.7–359.8326.7312–340.2
2090346.6331.9–359.2326.5311.7–339.5
2091348.5332.1–360.8328.6311.5–340.9
2092350329–360.2329.1312.2–341.8
2093345.2328.1–360.2327.3312.1–342.8
2094345.9320.1–360.2325.6312–336.2
2095348.3328.8–360329314–341.2
2096348.1323.6–360.9327.9311.6–341.9
2097345.3323.2–357.5325.6311–340
2098346.6322.3–360.7327.7311.4–341.1
2099346.6323.6–360.4327.3311.9–339.3
2100346.9332.3–359.8328.2313.4–341.2

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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。

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