吉布提与厄立特里亚对比

吉布提与厄立特里亚：热带夜

2014 年热带夜：吉布提为 293.4 夜，厄立特里亚为 236.3 夜（CMIP6 气候模型中位数模拟）。 2014 年吉布提的数值较高，高出 57.1 夜，是厄立特里亚的 1.24 倍。

在地图上查看其变化

每年夜数 · CMIP6

吉布提与厄立特里亚：热带夜2014 年热带夜：吉布提为 293.4 夜，厄立特里亚为 236.3 夜（CMIP6 气候模型中位数模拟）。 2014 年吉布提的数值较高，高出 57.1 夜，是厄立特里亚的 1.24 倍。
吉布提厄立特里亚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，吉布提的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年吉布提为 346.9 夜，厄立特里亚为 289.6 夜。

逐年数据

每年夜数 · CMIP6

年份吉布提厄立特里亚
2014293.4236.3
2013296.4237.5
2012294.3236.3
2011298.1238.4
2010289.9233.8
2009290.6232.2
2008289.4231.3
2007288.4231.9
2006289.6229.9
2005286.8228.5
2004286.7228.6
2003289.3230.2
2002286.6229.6
2001285.6229.6
2000282.5225.7
1999278.7225
1998278.1224.3
1997281.9224.5
1996277.8221.6
1995275.4219.6
1994274.8219.8
1993276.7214.3
1992271212
1991278.5220.1
1990280.9224.1
1989277.5221.4
1988273.9217.8
1987270.7216.8
1986274.9221.3
1985269.9214.5
1984271.4217.3
1983269.3212.2
1982275.2214
1981271.2219.6
1980270.8215.8
1979272.1216.5
1978272.5212.9
1977277.4216.5
1976269.6214.5
1975266.9209.8
1974267.5213
1973267214.7
1972266.3212.2
1971268.7211.4
1970272.1213.1
1969266.2211.3
1968267.6210.8
1967263.1206.9
1966263.2207.9
1965263.6208
1964268207.7
1963263.7204.9
1962265.9211.9
1961272.8215
1960273.8216
1959267.1211.5
1958272.5213.4
1957268.9213.8
1956269.1211.2
1955271.4211.8
1954269213.3
1953266.7209.4
1952270.8214.1
1951270.6214
1950270.8209.9
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份吉布提厄立特里亚
2015299.3274.4–316.3242.1223.3–257.3
2016298.5270.5–316.5239.9217.6–255.9
2017299.5269.3–317.1240.5217.7–256.2
2018301.1285–316.6241.6222.4–259.1
2019295.1275.3–319.8240.7216.5–259.9
2020298.4277.9–319.3243224.2–258.8
2021301277.1–325.6245.1227.4–259.9
2022309.1280.2–331.2248.8228.6–264
2023306.7285.5–326246.7224.6–263.1
2024306.5286.3–331250230.4–264.3
2025306.7276.4–329.6249.5223.9–268.1
2026307.8278.9–330.9248.7223–267.9
2027309.1286.6–334.5248.1223.1–268.2
2028313295.2–337.3250.3225.1–268
2029314.6294.8–336.4251.3226.8–268.5
2030309.3281.2–326.3251.3228.3–269.1
2031314.8285.3–332.3253.2230.5–270.2
2032317.1290.4–338.2254.5232.2–273.2
2033311.6285.5–332.4253.9233.4–270.6
2034307.3287.4–335.2253.2232.9–273.4
2035311.7291.1–333.1256.4233.1–272.6
2036311.8290.1–333.4255.6237.4–271.9
2037312.9294.8–339.2259.4239.5–274.3
2038316.5291.2–338.3259.6240.6–276
2039315.3286.9–336.4259.3236.9–278.2
2040317.1296.7–341.3258.9237.6–278.3
2041321.8297.1–337.1262.2235.6–276.6
2042318.4295.6–347.5260.5237.9–282.9
2043321.6298.6–342.1261.6236.4–282.9
2044317.4296–344.6259.6235.2–282.9
2045321.6295.9–338.6261.4243.5–280.5
2046325.9299.3–347.7265.4241.5–285.5
2047327.5304.3–348266.9242.2–284.1
2048330.4316.6–349.2268.2246.5–289.4
2049330.6315.4–343.4267.2245.9–284.9
2050326308.8–343.1268247.7–285.7
2051326.3309–341.7267.6249.1–288.1
2052326.3304.4–350.7267.1243.8–291.6
2053328.4299.8–348.8266.7242.7–288.9
2054329.5306.2–349.6270.9250–291.4
2055332310.8–351.2271.8248.4–291.5
2056329.4308.6–350.3269246.8–293.3
2057331.6311.6–348.2271.9251.9–292.6
2058330.3304.2–354.3273.1248.5–293.4
2059337.7317.3–352.1276.4256.3–297
2060338.1316.8–354.7274.4254.3–296.3
2061333.4314.9–350.2273.8250.1–292.4
2062331.6309.8–351.8273.1247.6–297.2
2063337.3310–351.6276.6253.2–296.8
2064336.8315.1–353.3274.4252.8–294.9
2065332.2311.2–353.8276.4254.3–298.3
2066339.8321.6–354.6278.3258.2–298.6
2067339.1312.7–350.6277.4252.3–300.6
2068342308.3–358281.8251.5–300.5
2069341.9320.6–357.3278.3257.1–298.4
2070342.7311.5–355.2278254.1–299.4
2071341.9317.5–357.4283.5258.5–303.6
2072342.6316.3–353.8284.3258.8–301.3
2073343.5320.3–358.3283.6259.5–302.3
2074336.5317–353.1279.8251.9–302.4
2075340.6314.1–356.2283.1258.1–303.2
2076341.8318.1–353.4283.6260.9–301.3
2077340.8320.8–354.3284.3261–306.5
2078341.6321–357.5286.3261.5–304.3
2079340.7320.3–358.1283.2260.8–303.8
2080342322.8–358.5287.1260.3–305.6
2081338.9318.1–357.5286.1261.1–305.7
2082341317.8–355.8284.1261.9–301.4
2083341.4310.4–358.3284.2263.3–307.9
2084343320.6–357.4287.4261.5–306.2
2085348.7321.3–359.1286.5265.4–309.8
2086348.6326.5–361.3287.5258.5–312.8
2087347.9327.9–358.3287.2260.7–309.6
2088344.9323–358.9286.4260.7–311.3
2089349.8321.7–359.8286.5261.1–306.9
2090346.6331.9–359.2288264.5–310.9
2091348.5332.1–360.8291264.2–313.8
2092350329–360.2287.4260.6–310.1
2093345.2328.1–360.2287.9269–308.3
2094345.9320.1–360.2290.2267.9–308.3
2095348.3328.8–360288.9268.4–310.9
2096348.1323.6–360.9287.3263.8–312.4
2097345.3323.2–357.5285263.8–308.7
2098346.6322.3–360.7288.6263.8–315.1
2099346.6323.6–360.4288.6265.1–311.8
2100346.9332.3–359.8289.6267.4–314

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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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