科特迪瓦与乌干达对比

科特迪瓦与乌干达:热带夜

2014 年热带夜:科特迪瓦为 341.6 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 216.9 夜,是乌干达的 2.74 倍。

每年夜数 · CMIP6

科特迪瓦与乌干达:热带夜2014 年热带夜:科特迪瓦为 341.6 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 216.9 夜,是乌干达的 2.74 倍。
科特迪瓦乌干达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,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,乌干达为 245.3 夜。

逐年数据

每年夜数 · CMIP6

年份科特迪瓦乌干达
2014341.6124.7
2013339.6124
2012342.3122.2
2011340.1125.7
2010338.6122.5
2009337.3114.8
2008337.1114.1
2007336.7111.2
2006336.6117.4
2005337.6113.8
2004334.8114.6
2003337.3114.4
2002336.1114.4
2001339.5117.1
2000334.6109
1999331.3105.5
1998332.7105
1997331.8106.1
1996329.9102.1
1995330.599.9
1994327.994.6
1993327.290.8
199232289.9
1991331.7102.1
1990334103.8
1989328.999.1
1988327.598.6
1987327.998.3
1986329.299.2
1985324.992.1
1984325.894.6
1983325.490.4
198232494.4
198132798.5
1980323.196.3
1979327.193.9
1978324.291
1977325.595.1
1976321.792
1975322.889.6
197432291.8
1973323.892.8
1972322.490
197132287.1
1970322.288.8
1969320.988
1968319.887.3
1967317.182.3
1966318.482.5
196532082.2
1964314.778.2
1963317.480.3
1962324.188.5
1961323.190.7
1960325.593.2
1959322.191.3
1958322.488.7
1957321.290.1
1956321.288.8
1955320.189
1954325.689.5
1953322.989
1952319.489.6
1951323.991.1
1950317.887.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份科特迪瓦乌干达
2015339.1321.9–350.7131.598.6–164.1
2016339.9324.6–349.112398.5–154.1
2017340.5322.4–349.6133.7108.6–162.7
2018341.6327.4–351.6134.2102.5–164
2019338.5323.6–350.3131.3104.8–166.2
2020340.6324.2–352.9140.7102.6–171.5
2021340.8325.2–353.8137.9112.9–175.4
2022344327.2–353.4140116.2–169.9
2023341.2327.2–352.6140.4114.2–184.8
2024344.9331–353.9151.1113.5–186.7
2025342.4327.8–352.1143108.5–176.4
2026342.3326.6–353.3144.6109.7–179.6
2027343.9325.6–352.9147.6116–175.4
2028347.4333.6–355.5151.6120.2–179.6
2029347.2332.4–355.2155.2127.3–178.6
2030347.2332.1–353.8150.4117.6–185.1
2031349.3333.1–357.2161.6132–187.2
2032347.8331.5–356.9159.1134.2–190.5
2033348332.6–360.4158.9123.4–200.6
2034346.6331.7–355.8161.5135.6–202.5
2035348.9333.7–357.8164.9126.3–193
2036350.5332.7–359.1158.5127.7–195.4
2037349.8334.6–357.5168.3138.2–207.3
2038351.3338.9–358.2173.8139.7–206.2
2039350.6333.1–358.9171.2130.1–205
2040351.1336.2–359.6170.4134.1–207.4
2041350.8335.9–358176.3144.6–208
2042349.8337.3–358.6175137.8–214.3
2043348.4336.1–357.8173.6132.8–207.6
2044350.3337.5–359.2176.1136.8–206.9
2045351339.5–359.5178.9138.3–217.7
2046351.7337.6–358.6191.9136.6–235
2047352335.4–360.1187.7156.6–225.3
2048351.6339.9–360.3189.3151.5–227.4
2049353339.6–360.9195.1154.9–233.6
2050352340.6–359.3191150.7–236.4
2051353340.5–360.5191.2154.4–228.2
2052352339–359.8192.6157.7–231.7
2053352.7339–360.5194.5149.7–233.5
2054354.7339.5–360.9199156.3–236.8
2055353.4343.4–360.8201.3151.7–240.7
2056355.9339.6–362.8198.9156.9–240.2
2057356.3343–362200165.5–244.7
2058354.3344.5–361.3208.8156.5–248.3
2059355343.4–361.7212.7171.1–254
2060354.6343.3–362.1212.6160.3–253.1
2061354.6341.3–362.5208.9162.4–258.1
2062354.4340.8–361.3206.4159.1–267.6
2063355.4345.2–362.1209.3168.5–246.3
2064356.1344.6–362.9210.6166.2–253.8
2065355.5346.4–362.4214.5167.8–261.1
2066355.2344.5–361.2211.9171.8–256.1
2067355.3341.4–361.8208.4168.3–269.8
2068357.3346.3–363.6216.4169.7–268.7
2069355344.3–362.7213170.3–268.1
2070355.6344.2–362.3216.4176.4–270.9
2071356.8344.7–362.9215.5174.6–273.5
2072357.7346.2–363.1227.3184.1–272.3
2073356.6345.2–362.2230.4189.3–278.5
2074354.4342.1–362.7220.7176.9–277
2075356343.7–362.5217.7167–274.2
2076357.4348.5–363.3228.1178.9–279
2077358.1347.7–362.8229.5189.6–280.5
2078357.3346.8–363.2225.6187.8–276.4
2079357.4346.6–363.6231.9168.8–277.7
2080359.1349.4–364.7232.8182.6–283.1
2081358.8347.5–363.5227.9187.6–279.3
2082357346.9–363.4233.1185.6–279.4
2083357.8349.5–363.1232.2175.7–297
2084358.8349.3–363.4237.2185.5–288.8
2085359.7350.1–364239.5192.4–291.7
2086359347.7–363.8236.2189.8–289.4
2087358.8348.8–364.1239.4188.9–294
2088358347.4–363.7236.8193.6–288.9
2089357.4347.3–363.5238.8193.8–293.7
2090358.8346.1–363.9237.7190.1–301.5
2091358.3349.1–363.3251188.7–300.1
2092359.2347.5–364243.4194.9–297.8
2093359349.8–363.8244.4199.2–296.8
2094359.3350.1–363.1245.6202.9–299.8
2095358.1349.7–364253.2202.4–306.1
2096358.8348.3–365.1241.4196.5–304
2097358.9342.5–362.5243.1194–296.6
2098357.8348.1–363.6242.9199–302.3
2099359.2349.5–363.2247.3194.4–306.1
2100359.6348.3–363.8245.3195.5–307.2

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

科特迪瓦与乌干达对比

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