贝宁与乌干达对比

贝宁与乌干达：热带夜

2014 年热带夜：贝宁为 333.9 夜，乌干达为 124.7 夜（CMIP6 气候模型中位数模拟）。 2014 年贝宁的数值较高，高出 209.2 夜，是乌干达的 2.68 倍。

在地图上查看其变化

每年夜数 · CMIP6

贝宁与乌干达：热带夜2014 年热带夜：贝宁为 333.9 夜，乌干达为 124.7 夜（CMIP6 气候模型中位数模拟）。 2014 年贝宁的数值较高，高出 209.2 夜，是乌干达的 2.68 倍。
贝宁乌干达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，贝宁的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年贝宁为 359.6 夜，乌干达为 245.3 夜。

逐年数据

每年夜数 · CMIP6

年份贝宁乌干达
2014333.9124.7
2013328.9124
2012332.6122.2
2011330.1125.7
2010329.8122.5
2009325.2114.8
2008326.4114.1
2007325.2111.2
2006326.1117.4
2005324.3113.8
2004322.7114.6
2003327.4114.4
2002324114.4
2001329.4117.1
2000322.4109
1999317.9105.5
1998319.1105
1997320.6106.1
1996315.5102.1
1995316.599.9
1994314.394.6
1993313.590.8
1992309.889.9
1991316.1102.1
1990320.6103.8
1989313.199.1
1988313.698.6
1987313.398.3
1986317.199.2
1985314.692.1
1984311.894.6
1983308.890.4
1982309.394.4
1981314.898.5
1980310.296.3
1979311.993.9
197831091
1977314.495.1
1976309.192
1975307.389.6
1974307.991.8
1973311.892.8
1972310.190
1971305.987.1
1970309.788.8
1969305.988
1968305.687.3
1967305.682.3
1966305.482.5
1965306.182.2
1964304.678.2
1963304.680.3
1962311.688.5
1961307.490.7
1960312.193.2
1959312.491.3
1958306.888.7
1957311.890.1
1956308.288.8
1955308.689
1954311.389.5
1953307.489
1952305.589.6
1951309.491.1
1950304.787.7
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份贝宁乌干达
2015328.6309.6–343.6131.598.6–164.1
2016330.8309.8–342.512398.5–154.1
2017330311.6–342.9133.7108.6–162.7
2018331.2315.3–345.2134.2102.5–164
2019328.1308–346.4131.3104.8–166.2
2020330.1308.7–348.1140.7102.6–171.5
2021332.7314.3–347.2137.9112.9–175.4
2022334.9314.5–347.9140116.2–169.9
2023331.8310.2–346.4140.4114.2–184.8
2024340.3323.4–351.1151.1113.5–186.7
2025335315.9–346.3143108.5–176.4
2026335.9313.3–353.1144.6109.7–179.6
2027335.8315.2–349.1147.6116–175.4
2028340.1321.3–351.9151.6120.2–179.6
2029338.6323.1–350.8155.2127.3–178.6
2030339.7321.7–350150.4117.6–185.1
2031343.8323.3–354.6161.6132–187.2
2032340.8318.1–351.4159.1134.2–190.5
2033343.1320.1–354.4158.9123.4–200.6
2034339.8319.2–352.6161.5135.6–202.5
2035342.7322–354.2164.9126.3–193
2036341.8320.2–355.2158.5127.7–195.4
2037344324.8–353.5168.3138.2–207.3
2038346.6334.6–355.1173.8139.7–206.2
2039344.5327.1–355.1171.2130.1–205
2040346327.6–355.8170.4134.1–207.4
2041345.5331.9–357.4176.3144.6–208
2042343.9328.1–358.9175137.8–214.3
2043345.7326.6–355.4173.6132.8–207.6
2044347.3329.7–358.8176.1136.8–206.9
2045342.6328–358.9178.9138.3–217.7
2046347.9332.2–357.8191.9136.6–235
2047349.6330.6–358.7187.7156.6–225.3
2048349.8334.6–358.1189.3151.5–227.4
2049350.7333.4–359.3195.1154.9–233.6
2050351334–360.2191150.7–236.4
2051350338.1–359.9191.2154.4–228.2
2052348.6332.5–359.5192.6157.7–231.7
2053351.3331.1–359.3194.5149.7–233.5
2054353.3336.1–360.3199156.3–236.8
2055350.7336.5–359.7201.3151.7–240.7
2056353.4337.9–362198.9156.9–240.2
2057355339.4–361.3200165.5–244.7
2058352.5338–360.1208.8156.5–248.3
2059354.9338.8–361.9212.7171.1–254
2060353.2337.9–360.9212.6160.3–253.1
2061353.8331.6–362208.9162.4–258.1
2062353.5334.3–361.4206.4159.1–267.6
2063355.1335.9–361.9209.3168.5–246.3
2064353.9338–363.1210.6166.2–253.8
2065355.3343.1–362.4214.5167.8–261.1
2066352.4339.8–360.1211.9171.8–256.1
2067355.7336.9–362.9208.4168.3–269.8
2068357.5341.2–363.6216.4169.7–268.7
2069353.4339.4–362.3213170.3–268.1
2070354.4341–361.7216.4176.4–270.9
2071356.4338.9–362.8215.5174.6–273.5
2072357.8343.2–363.8227.3184.1–272.3
2073356.1339.2–362.4230.4189.3–278.5
2074355.1339–362.4220.7176.9–277
2075356.2344.1–363.5217.7167–274.2
2076357343.3–362.6228.1178.9–279
2077357.3343.8–363.1229.5189.6–280.5
2078357.9344.2–363.3225.6187.8–276.4
2079357.3347.1–362.8231.9168.8–277.7
2080358.9344.5–365.3232.8182.6–283.1
2081357.1341.4–363.9227.9187.6–279.3
2082357.1341.9–362.2233.1185.6–279.4
2083358.4346.7–363.4232.2175.7–297
2084357.9343.1–364.6237.2185.5–288.8
2085359.5346–364.2239.5192.4–291.7
2086359.2344.3–364.1236.2189.8–289.4
2087357.6343.8–364.2239.4188.9–294
2088358.5341.9–364.2236.8193.6–288.9
2089357.1346.7–363.7238.8193.8–293.7
2090359.7343.6–363.8237.7190.1–301.5
2091358.6342.2–364.1251188.7–300.1
2092359.3342.5–364.9243.4194.9–297.8
2093360.3348–364.4244.4199.2–296.8
2094359347.2–364.5245.6202.9–299.8
2095358.6345.9–364.3253.2202.4–306.1
2096359.2344.5–365.5241.4196.5–304
2097358.4343.3–363.8243.1194–296.6
2098358.2346.2–363.8242.9199–302.3
2099358344.6–363.9247.3194.4–306.1
2100359.6348.3–364.5245.3195.5–307.2

分别查看各国

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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