喀麦隆与坦桑尼亚对比

喀麦隆与坦桑尼亚:热带夜

2014 年热带夜:喀麦隆为 238.7 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 132.4 夜,是坦桑尼亚的 2.25 倍。

每年夜数 · CMIP6

喀麦隆与坦桑尼亚:热带夜2014 年热带夜:喀麦隆为 238.7 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 132.4 夜,是坦桑尼亚的 2.25 倍。
喀麦隆坦桑尼亚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,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,坦桑尼亚为 208 夜。

逐年数据

每年夜数 · CMIP6

年份喀麦隆坦桑尼亚
2014238.7106.3
2013236.7105.5
2012242.2108.4
2011237.6109
2010230.4103.9
2009226.6101.1
2008223.1100.3
2007222.199.5
2006220.1100.4
2005216.198.7
2004217.6100.4
200322199.6
2002215.598.4
2001223101.5
200021094.9
1999200.594.2
1998203.596.8
199720293.5
199619089.6
1995187.388.5
1994183.185.4
1993165.281.2
1992156.780.1
1991192.689.6
1990200.791.1
1989187.589.1
1988185.887.6
1987182.788.5
1986188.989.4
1985173.283
1984172.983.1
1983165.582.1
1982176.384.8
1981182.688
1980173.685
1979175.885.5
1978172.882.9
1977175.784.1
1976164.581
1975159.580.8
1974166.882.2
1973170.483.6
1972165.281.4
1971161.380.7
1970164.481.8
196916079.5
1968157.879.1
1967147.977.5
1966156.578.1
1965151.678
1964143.173.8
1963145.973.1
1962171.881.1
1961167.282.6
1960176.283.9
1959166.581.4
1958169.282.1
1957168.280.9
195616080
1955163.781.6
1954167.681.4
1953168.280.6
1952165.781.4
1951172.882.1
1950162.880.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份喀麦隆坦桑尼亚
2015242.2196.9–270.8114.895.2–137.4
2016237.7192.1–259.9108.391.6–125.6
2017245.8205.7–271.3114.893.6–137.8
2018245.7208–270.5116.497.4–137.1
2019243.7200.2–275.6113.495.2–133.2
2020246.4210.4–278119.396.2–143.5
2021255.2220.2–279.6119.5100.9–147.1
2022255.8221–285.7124.4105.3–147.4
2023254.5221.7–284.1122.1102.1–147.8
2024263225.8–286.8126.2100–150.1
2025257.3222.7–293.9124.6100.9–154
2026260.4211.9–292126.999.1–155.6
2027258.5223.8–291.5128102.9–147.7
2028266.9235.5–294.7129.9106.4–152.1
2029269.9242.3–293.5134.1111–156.5
2030266.6229–293.5129.4106.4–151.1
2031273.2229.9–298.5136.4115.9–158.4
2032269.8240.6–296.2135.1114–166.8
2033271.8235.6–303.4135.2110.9–161.9
2034268.1239.2–299.1134.7112.5–166.3
2035277.5241.5–302.7140.2114.6–165
2036275.7235.1–301.3137.8113.3–165.5
2037283.5252.3–305.9142.9121.5–168.9
2038285.8258–307.9147.9124.3–169.3
2039280.9250.4–305.8144.3117.6–171.3
2040279.5252.1–310.6140.5117–178
2041284.5254.6–309.9149.1121.7–175.6
2042284.8253.6–313.2146.3120.5–185.3
2043281.2251.4–309.8144.6117–173
2044283.8244.4–312.3147.7121.2–175.8
2045286.8253.7–311.4150.1125.2–183.4
2046296.1260.6–318.1161.5128.6–192.2
2047294.3260.7–316.6160.2129.7–194.4
2048297.3265.6–318.1158.8132.7–193.1
2049298.3267.8–318.1157.6131.1–196
2050296.9267.9–322.7159.7127.8–192
2051297.8266.7–319.9163.2135.5–197.8
2052298.7270.1–322.3161.9136.2–199.1
2053297.7261.3–321.7160.6127.5–197.7
2054301.2268.2–324.6163.2131.5–200.2
2055301.3276.5–324.3167.4137–208.3
2056302.1270.4–329.2166.4130.8–209.7
2057305.4277.7–327.4168134.6–208.3
2058302.6272.1–325.2168.7134.9–210.3
2059306.2279.6–330.1174.7144.9–219.5
2060306.1276.1–331.1181.7138.1–219.8
2061304.4267.2–329.7171.8135.5–218.1
2062307.6266.2–332.2177.5139.9–224
2063309.1272.5–328.8181.4140.1–213.8
2064308.5278.7–331185.3140.1–215.2
2065311.3284.1–329.6183.5141.1–221.8
2066311.9284–332.7181.9146.3–219.3
2067310.1271.7–335.6178.8138.8–229.2
2068312.9278.7–335186144.2–228.4
2069310.4278.4–333.4183.7141.7–225.3
2070309.8281.2–334.9180.7140.4–228.2
2071316.4282.3–336184.9146.9–235.2
2072315.4289.2–335.3191.3155–226.1
2073314282.6–339.5191.6152.4–235.6
2074311.7281.9–336.8183.3149.7–231.7
2075314.8285.3–335.3183.8144.8–233
2076315.2284.7–338.4191.1150.9–233.2
2077318.2289.7–341.4191.3152.6–238.2
2078315.8286.4–338.5189156.6–233.8
2079317.7287.8–337.5190.5147–237.3
2080321.5285.9–341.7197.3150.7–241.2
2081318.7290–339195.6153.4–237.4
2082316.2289–337.7194.5157.3–237.3
2083317.7288.2–341.6193.2151–249.8
2084318.5284.5–342.1201.1152.2–246.7
2085323.4294–342.7204.2162.3–252.3
2086319.5292.3–343195156–248.7
2087318292.7–342.5196.7160.8–244.5
2088320.4288.1–342208.4154.7–246.9
2089320.1289.6–340.7201.3158.6–248.2
2090322.4292.8–342.6197.9160.7–253.6
2091322.6289.9–345210161.6–256
2092324.9291.6–343.6205.8158.3–253.6
2093322.3299.7–342.6207.2161.2–251.9
2094324299.3–343.4207.9161.3–250.6
2095326.4300.2–346.4214.2166.4–258.5
2096322.1294.4–346.4205.3159.8–257.4
2097320.9287.4–342.5206.6158.4–256.8
2098323.1293.8–344.4209.1161–258.3
2099322.6295.7–344.2208.5160.1–256
2100324.2293.6–346.6208158.6–258.6

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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

喀麦隆与坦桑尼亚对比

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