喀麦隆与乌干达对比

喀麦隆与乌干达:热带夜

2014 年热带夜:喀麦隆为 238.7 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 114 夜,是乌干达的 1.91 倍。

每年夜数 · CMIP6

喀麦隆与乌干达:热带夜2014 年热带夜:喀麦隆为 238.7 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 114 夜,是乌干达的 1.91 倍。
喀麦隆乌干达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,喀麦隆的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年喀麦隆为 324.2 夜,乌干达为 245.3 夜。

逐年数据

每年夜数 · CMIP6

年份喀麦隆乌干达
2014238.7124.7
2013236.7124
2012242.2122.2
2011237.6125.7
2010230.4122.5
2009226.6114.8
2008223.1114.1
2007222.1111.2
2006220.1117.4
2005216.1113.8
2004217.6114.6
2003221114.4
2002215.5114.4
2001223117.1
2000210109
1999200.5105.5
1998203.5105
1997202106.1
1996190102.1
1995187.399.9
1994183.194.6
1993165.290.8
1992156.789.9
1991192.6102.1
1990200.7103.8
1989187.599.1
1988185.898.6
1987182.798.3
1986188.999.2
1985173.292.1
1984172.994.6
1983165.590.4
1982176.394.4
1981182.698.5
1980173.696.3
1979175.893.9
1978172.891
1977175.795.1
1976164.592
1975159.589.6
1974166.891.8
1973170.492.8
1972165.290
1971161.387.1
1970164.488.8
196916088
1968157.887.3
1967147.982.3
1966156.582.5
1965151.682.2
1964143.178.2
1963145.980.3
1962171.888.5
1961167.290.7
1960176.293.2
1959166.591.3
1958169.288.7
1957168.290.1
195616088.8
1955163.789
1954167.689.5
1953168.289
1952165.789.6
1951172.891.1
1950162.887.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份喀麦隆乌干达
2015242.2196.9–270.8131.598.6–164.1
2016237.7192.1–259.912398.5–154.1
2017245.8205.7–271.3133.7108.6–162.7
2018245.7208–270.5134.2102.5–164
2019243.7200.2–275.6131.3104.8–166.2
2020246.4210.4–278140.7102.6–171.5
2021255.2220.2–279.6137.9112.9–175.4
2022255.8221–285.7140116.2–169.9
2023254.5221.7–284.1140.4114.2–184.8
2024263225.8–286.8151.1113.5–186.7
2025257.3222.7–293.9143108.5–176.4
2026260.4211.9–292144.6109.7–179.6
2027258.5223.8–291.5147.6116–175.4
2028266.9235.5–294.7151.6120.2–179.6
2029269.9242.3–293.5155.2127.3–178.6
2030266.6229–293.5150.4117.6–185.1
2031273.2229.9–298.5161.6132–187.2
2032269.8240.6–296.2159.1134.2–190.5
2033271.8235.6–303.4158.9123.4–200.6
2034268.1239.2–299.1161.5135.6–202.5
2035277.5241.5–302.7164.9126.3–193
2036275.7235.1–301.3158.5127.7–195.4
2037283.5252.3–305.9168.3138.2–207.3
2038285.8258–307.9173.8139.7–206.2
2039280.9250.4–305.8171.2130.1–205
2040279.5252.1–310.6170.4134.1–207.4
2041284.5254.6–309.9176.3144.6–208
2042284.8253.6–313.2175137.8–214.3
2043281.2251.4–309.8173.6132.8–207.6
2044283.8244.4–312.3176.1136.8–206.9
2045286.8253.7–311.4178.9138.3–217.7
2046296.1260.6–318.1191.9136.6–235
2047294.3260.7–316.6187.7156.6–225.3
2048297.3265.6–318.1189.3151.5–227.4
2049298.3267.8–318.1195.1154.9–233.6
2050296.9267.9–322.7191150.7–236.4
2051297.8266.7–319.9191.2154.4–228.2
2052298.7270.1–322.3192.6157.7–231.7
2053297.7261.3–321.7194.5149.7–233.5
2054301.2268.2–324.6199156.3–236.8
2055301.3276.5–324.3201.3151.7–240.7
2056302.1270.4–329.2198.9156.9–240.2
2057305.4277.7–327.4200165.5–244.7
2058302.6272.1–325.2208.8156.5–248.3
2059306.2279.6–330.1212.7171.1–254
2060306.1276.1–331.1212.6160.3–253.1
2061304.4267.2–329.7208.9162.4–258.1
2062307.6266.2–332.2206.4159.1–267.6
2063309.1272.5–328.8209.3168.5–246.3
2064308.5278.7–331210.6166.2–253.8
2065311.3284.1–329.6214.5167.8–261.1
2066311.9284–332.7211.9171.8–256.1
2067310.1271.7–335.6208.4168.3–269.8
2068312.9278.7–335216.4169.7–268.7
2069310.4278.4–333.4213170.3–268.1
2070309.8281.2–334.9216.4176.4–270.9
2071316.4282.3–336215.5174.6–273.5
2072315.4289.2–335.3227.3184.1–272.3
2073314282.6–339.5230.4189.3–278.5
2074311.7281.9–336.8220.7176.9–277
2075314.8285.3–335.3217.7167–274.2
2076315.2284.7–338.4228.1178.9–279
2077318.2289.7–341.4229.5189.6–280.5
2078315.8286.4–338.5225.6187.8–276.4
2079317.7287.8–337.5231.9168.8–277.7
2080321.5285.9–341.7232.8182.6–283.1
2081318.7290–339227.9187.6–279.3
2082316.2289–337.7233.1185.6–279.4
2083317.7288.2–341.6232.2175.7–297
2084318.5284.5–342.1237.2185.5–288.8
2085323.4294–342.7239.5192.4–291.7
2086319.5292.3–343236.2189.8–289.4
2087318292.7–342.5239.4188.9–294
2088320.4288.1–342236.8193.6–288.9
2089320.1289.6–340.7238.8193.8–293.7
2090322.4292.8–342.6237.7190.1–301.5
2091322.6289.9–345251188.7–300.1
2092324.9291.6–343.6243.4194.9–297.8
2093322.3299.7–342.6244.4199.2–296.8
2094324299.3–343.4245.6202.9–299.8
2095326.4300.2–346.4253.2202.4–306.1
2096322.1294.4–346.4241.4196.5–304
2097320.9287.4–342.5243.1194–296.6
2098323.1293.8–344.4242.9199–302.3
2099322.6295.7–344.2247.3194.4–306.1
2100324.2293.6–346.6245.3195.5–307.2

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

喀麦隆与乌干达对比

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