喀麦隆与赞比亚对比

喀麦隆与赞比亚:热带夜

2014 年热带夜:喀麦隆为 238.7 夜,赞比亚为 62.9 夜(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 175.8 夜,是赞比亚的 3.79 倍。

每年夜数 · CMIP6

喀麦隆与赞比亚:热带夜2014 年热带夜:喀麦隆为 238.7 夜,赞比亚为 62.9 夜(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 175.8 夜,是赞比亚的 3.79 倍。
喀麦隆赞比亚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,赞比亚为 171.5 夜。

逐年数据

每年夜数 · CMIP6

年份喀麦隆赞比亚
2014238.762.9
2013236.764.7
2012242.263.9
2011237.661.5
2010230.459.3
2009226.657.5
2008223.156
2007222.155.1
2006220.155.9
2005216.154.5
2004217.658.4
200322156.6
2002215.555
200122359
200021052.9
1999200.548
1998203.551.3
199720247.8
199619043.5
1995187.343.9
1994183.141.6
1993165.235.3
1992156.736
1991192.642.7
1990200.746.4
1989187.545
1988185.843.6
1987182.744
1986188.943.8
1985173.238.7
1984172.938.7
1983165.538.8
1982176.340
1981182.641.7
1980173.639.7
1979175.840.7
1978172.838.9
1977175.740
1976164.535.7
1975159.537.1
1974166.837.4
1973170.438.8
1972165.235
1971161.336
1970164.438.1
196916037.1
1968157.834.1
1967147.932.2
1966156.533.1
1965151.634.9
1964143.131.3
1963145.930.5
1962171.838.8
1961167.237
1960176.239.3
1959166.538.3
1958169.239
1957168.237.8
195616034.6
1955163.738.2
1954167.638
1953168.235.4
1952165.737.6
1951172.836.9
1950162.836
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份喀麦隆赞比亚
2015242.2196.9–270.872.150.1–93.9
2016237.7192.1–259.966.845.9–85.7
2017245.8205.7–271.371.449.7–92.5
2018245.7208–270.573.852.7–94.8
2019243.7200.2–275.673.354–97.6
2020246.4210.4–27877.556.9–100.4
2021255.2220.2–279.676.755.7–104.5
2022255.8221–285.784.861.6–109.7
2023254.5221.7–284.184.763–108
2024263225.8–286.885.158.2–113.9
2025257.3222.7–293.984.957.1–116
2026260.4211.9–29283.658.4–119.4
2027258.5223.8–291.589.562.5–115.7
2028266.9235.5–294.789.965–118.6
2029269.9242.3–293.59669.8–122.8
2030266.6229–293.59166.7–118.1
2031273.2229.9–298.597.668.2–121.3
2032269.8240.6–296.294.970.3–122.2
2033271.8235.6–303.498.270.1–123.6
2034268.1239.2–299.197.370.4–135.2
2035277.5241.5–302.7104.168.4–137.8
2036275.7235.1–301.399.568.7–131.5
2037283.5252.3–305.9107.177.4–139.8
2038285.8258–307.9110.383.2–138.8
2039280.9250.4–305.8101.874.3–139.1
2040279.5252.1–310.6100.872.5–145.3
2041284.5254.6–309.9113.978.7–147.6
2042284.8253.6–313.2111.379.1–155.1
2043281.2251.4–309.8106.678.3–150.6
2044283.8244.4–312.3110.574.3–145.5
2045286.8253.7–311.4109.882.2–148.2
2046296.1260.6–318.1119.485.9–160
2047294.3260.7–316.6123.191.1–159.4
2048297.3265.6–318.1124.590.6–160.2
2049298.3267.8–318.1124.586.1–167.1
2050296.9267.9–322.7130.592–166
2051297.8266.7–319.9128.498.1–169.8
2052298.7270.1–322.3130.798.6–170.4
2053297.7261.3–321.7128.488–168.8
2054301.2268.2–324.6132.193–169.6
2055301.3276.5–324.3132.1100.1–176.1
2056302.1270.4–329.2132.492.7–179.6
2057305.4277.7–327.4133.298.5–178.5
2058302.6272.1–325.2137.299.2–179.7
2059306.2279.6–330.1139.8105.8–189.5
2060306.1276.1–331.1145.4102.9–191
2061304.4267.2–329.7136.692.8–196.9
2062307.6266.2–332.2143.9101–194.7
2063309.1272.5–328.8144.5101.7–187.8
2064308.5278.7–331147.998.4–180.9
2065311.3284.1–329.6148.6104.3–199.8
2066311.9284–332.7152.1109.4–193.6
2067310.1271.7–335.6140.6103.2–195.7
2068312.9278.7–335150.8105.7–200.3
2069310.4278.4–333.4150.5106.3–197
2070309.8281.2–334.9145.8104.7–202.4
2071316.4282.3–336153.1112.7–212
2072315.4289.2–335.3157.2120–195.7
2073314282.6–339.5161.5115.2–210.9
2074311.7281.9–336.8149.2115–198.7
2075314.8285.3–335.3148.2111.5–202.2
2076315.2284.7–338.4150.4112–201.9
2077318.2289.7–341.4156.5120.3–208.3
2078315.8286.4–338.5157.2122.2–209.5
2079317.7287.8–337.5156.8118.1–207.3
2080321.5285.9–341.7159.8116–211.9
2081318.7290–339160.2117.1–208.6
2082316.2289–337.7159.6119.6–200.6
2083317.7288.2–341.6159.5110.7–219.9
2084318.5284.5–342.1166124.3–210.3
2085323.4294–342.7172.9126.8–221.1
2086319.5292.3–343161.9120.6–224.1
2087318292.7–342.5158.3129.2–219.6
2088320.4288.1–342168.4123.9–218.5
2089320.1289.6–340.7168.5129.9–217.9
2090322.4292.8–342.6165.7124–223.8
2091322.6289.9–345177.4129.5–227.2
2092324.9291.6–343.6170.6127.8–221.5
2093322.3299.7–342.6173.6123.6–223.3
2094324299.3–343.4171.4130.3–220.7
2095326.4300.2–346.4179131.6–228.6
2096322.1294.4–346.4170.8124.8–233.3
2097320.9287.4–342.5167.2122.2–224.3
2098323.1293.8–344.4172.5131.9–226.9
2099322.6295.7–344.2171.7126.5–229.1
2100324.2293.6–346.6171.5124.3–228

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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