马里与赞比亚对比

马里与赞比亚:热带夜

2014 年热带夜:马里为 250.2 夜,赞比亚为 62.9 夜(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 187.3 夜,是赞比亚的 3.98 倍。

每年夜数 · CMIP6

马里与赞比亚:热带夜2014 年热带夜:马里为 250.2 夜,赞比亚为 62.9 夜(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 187.3 夜,是赞比亚的 3.98 倍。
马里赞比亚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,马里的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年马里为 283.6 夜,赞比亚为 171.5 夜。

逐年数据

每年夜数 · CMIP6

年份马里赞比亚
2014250.262.9
2013247.364.7
2012253.163.9
2011251.961.5
2010250.459.3
200924857.5
2008247.856
2007248.155.1
2006245.555.9
2005244.354.5
2004243.958.4
2003247.156.6
2002245.855
2001245.659
2000243.252.9
1999242.448
1998240.651.3
1997240.747.8
1996236.443.5
199523843.9
1994236.241.6
1993235.135.3
199223236
1991238.742.7
199024146.4
1989236.345
1988234.743.6
1987236.144
1986237.143.8
1985235.338.7
198423338.7
1983231.238.8
1982234.940
1981233.941.7
1980231.539.7
1979233.840.7
1978234.838.9
1977233.640
1976231.735.7
1975232.437.1
1974229.737.4
1973230.338.8
1972230.735
1971229.536
1970229.938.1
1969227.337.1
1968230.534.1
196722932.2
1966228.133.1
1965230.234.9
1964228.931.3
1963228.230.5
1962231.738.8
1961231.637
1960235.139.3
1959231.838.3
1958231.839
1957233.337.8
1956230.734.6
1955230.638.2
195423238
1953228.335.4
1952229.237.6
1951231.436.9
1950228.636
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份马里赞比亚
2015247.9231.5–264.772.150.1–93.9
2016248231.3–262.666.845.9–85.7
2017252.7233.6–268.271.449.7–92.5
2018254.2236.4–26973.852.7–94.8
2019251.6233.5–272.373.354–97.6
2020251.3231.2–270.777.556.9–100.4
2021254.8238.5–27076.755.7–104.5
2022257237.8–275.384.861.6–109.7
2023254.2239.6–269.284.763–108
2024259.3242.3–276.885.158.2–113.9
2025256.2239.2–272.384.957.1–116
2026256.8237.2–277.883.658.4–119.4
2027258.5240.3–273.189.562.5–115.7
2028259.7243.6–273.989.965–118.6
2029260.8240.3–275.39669.8–122.8
2030258.1237.5–272.69166.7–118.1
2031262.2243.4–280.697.668.2–121.3
2032260.5242.1–278.294.970.3–122.2
2033262.1241.7–280.398.270.1–123.6
2034260.7242–275.397.370.4–135.2
2035261.5244.8–283.6104.168.4–137.8
2036262.5244.6–281.199.568.7–131.5
2037264.5245.2–279.6107.177.4–139.8
2038266246.7–283.2110.383.2–138.8
2039262.3245–281.6101.874.3–139.1
2040263.6247.5–279.6100.872.5–145.3
2041264.6250.8–283.1113.978.7–147.6
2042265.7245.9–283.5111.379.1–155.1
2043264.8246.9–278.8106.678.3–150.6
2044269.3247.4–284.7110.574.3–145.5
2045265.6248.9–283.7109.882.2–148.2
2046269.8247.5–286.4119.485.9–160
2047271.9251.2–290.3123.191.1–159.4
2048270.4254.4–288.2124.590.6–160.2
2049272252.1–288.2124.586.1–167.1
2050269.5250.6–286.4130.592–166
2051268.8251.7–286.9128.498.1–169.8
2052270.1252.7–292.1130.798.6–170.4
2053269.3249.2–288.8128.488–168.8
2054270.3251.7–290.6132.193–169.6
2055270.9252.7–288.1132.1100.1–176.1
2056273248.6–291.4132.492.7–179.6
2057275.5255.2–295133.298.5–178.5
2058271252.7–293.2137.299.2–179.7
2059274.5259.3–299.6139.8105.8–189.5
2060273.5258–293.7145.4102.9–191
2061275.4257–298136.692.8–196.9
2062270.8251.7–291.8143.9101–194.7
2063275.9256.6–292.2144.5101.7–187.8
2064276.4256.6–298.4147.998.4–180.9
2065275.3256–295.1148.6104.3–199.8
2066276.9260–296.5152.1109.4–193.6
2067272.6255.4–293.3140.6103.2–195.7
2068277.5258.1–296.5150.8105.7–200.3
2069276.1257.7–293.3150.5106.3–197
2070277.2256.6–296.6145.8104.7–202.4
2071277.2258.4–295.6153.1112.7–212
2072281.9263.8–298.9157.2120–195.7
2073276.8257.9–296.8161.5115.2–210.9
2074277.7258.7–295.9149.2115–198.7
2075278.5260.1–298.5148.2111.5–202.2
2076278.1261.1–294.2150.4112–201.9
2077283.8263.1–302.3156.5120.3–208.3
2078283.8263.5–299.4157.2122.2–209.5
2079278.9259.2–300.6156.8118.1–207.3
2080281.2262.1–299.4159.8116–211.9
2081279.1259.3–301.8160.2117.1–208.6
2082280.2260.2–298.4159.6119.6–200.6
2083280.8260.8–302.3159.5110.7–219.9
2084280.4263.8–301166124.3–210.3
2085284.6259.2–303172.9126.8–221.1
2086281.9262.8–302.4161.9120.6–224.1
2087279.7258.8–302.8158.3129.2–219.6
2088282.3260.7–303.3168.4123.9–218.5
2089283.4262.4–300.5168.5129.9–217.9
2090283.9259.8–301.9165.7124–223.8
2091283.1260.4–304.8177.4129.5–227.2
2092281.6259.7–303.1170.6127.8–221.5
2093284.8265.8–305.4173.6123.6–223.3
2094284.6262.8–305.6171.4130.3–220.7
2095283.6262–304.6179131.6–228.6
2096284.9263.3–306.3170.8124.8–233.3
2097280261–300.5167.2122.2–224.3
2098282.5262–302.1172.5131.9–226.9
2099285.3266.2–305.4171.7126.5–229.1
2100283.6262.8–304.1171.5124.3–228

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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

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