马里与坦桑尼亚对比

马里与坦桑尼亚:热带夜

2014 年热带夜:马里为 250.2 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 143.9 夜,是坦桑尼亚的 2.35 倍。

每年夜数 · CMIP6

马里与坦桑尼亚:热带夜2014 年热带夜:马里为 250.2 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 143.9 夜,是坦桑尼亚的 2.35 倍。
马里坦桑尼亚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,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,坦桑尼亚为 208 夜。

逐年数据

每年夜数 · CMIP6

年份马里坦桑尼亚
2014250.2106.3
2013247.3105.5
2012253.1108.4
2011251.9109
2010250.4103.9
2009248101.1
2008247.8100.3
2007248.199.5
2006245.5100.4
2005244.398.7
2004243.9100.4
2003247.199.6
2002245.898.4
2001245.6101.5
2000243.294.9
1999242.494.2
1998240.696.8
1997240.793.5
1996236.489.6
199523888.5
1994236.285.4
1993235.181.2
199223280.1
1991238.789.6
199024191.1
1989236.389.1
1988234.787.6
1987236.188.5
1986237.189.4
1985235.383
198423383.1
1983231.282.1
1982234.984.8
1981233.988
1980231.585
1979233.885.5
1978234.882.9
1977233.684.1
1976231.781
1975232.480.8
1974229.782.2
1973230.383.6
1972230.781.4
1971229.580.7
1970229.981.8
1969227.379.5
1968230.579.1
196722977.5
1966228.178.1
1965230.278
1964228.973.8
1963228.273.1
1962231.781.1
1961231.682.6
1960235.183.9
1959231.881.4
1958231.882.1
1957233.380.9
1956230.780
1955230.681.6
195423281.4
1953228.380.6
1952229.281.4
1951231.482.1
1950228.680.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份马里坦桑尼亚
2015247.9231.5–264.7114.895.2–137.4
2016248231.3–262.6108.391.6–125.6
2017252.7233.6–268.2114.893.6–137.8
2018254.2236.4–269116.497.4–137.1
2019251.6233.5–272.3113.495.2–133.2
2020251.3231.2–270.7119.396.2–143.5
2021254.8238.5–270119.5100.9–147.1
2022257237.8–275.3124.4105.3–147.4
2023254.2239.6–269.2122.1102.1–147.8
2024259.3242.3–276.8126.2100–150.1
2025256.2239.2–272.3124.6100.9–154
2026256.8237.2–277.8126.999.1–155.6
2027258.5240.3–273.1128102.9–147.7
2028259.7243.6–273.9129.9106.4–152.1
2029260.8240.3–275.3134.1111–156.5
2030258.1237.5–272.6129.4106.4–151.1
2031262.2243.4–280.6136.4115.9–158.4
2032260.5242.1–278.2135.1114–166.8
2033262.1241.7–280.3135.2110.9–161.9
2034260.7242–275.3134.7112.5–166.3
2035261.5244.8–283.6140.2114.6–165
2036262.5244.6–281.1137.8113.3–165.5
2037264.5245.2–279.6142.9121.5–168.9
2038266246.7–283.2147.9124.3–169.3
2039262.3245–281.6144.3117.6–171.3
2040263.6247.5–279.6140.5117–178
2041264.6250.8–283.1149.1121.7–175.6
2042265.7245.9–283.5146.3120.5–185.3
2043264.8246.9–278.8144.6117–173
2044269.3247.4–284.7147.7121.2–175.8
2045265.6248.9–283.7150.1125.2–183.4
2046269.8247.5–286.4161.5128.6–192.2
2047271.9251.2–290.3160.2129.7–194.4
2048270.4254.4–288.2158.8132.7–193.1
2049272252.1–288.2157.6131.1–196
2050269.5250.6–286.4159.7127.8–192
2051268.8251.7–286.9163.2135.5–197.8
2052270.1252.7–292.1161.9136.2–199.1
2053269.3249.2–288.8160.6127.5–197.7
2054270.3251.7–290.6163.2131.5–200.2
2055270.9252.7–288.1167.4137–208.3
2056273248.6–291.4166.4130.8–209.7
2057275.5255.2–295168134.6–208.3
2058271252.7–293.2168.7134.9–210.3
2059274.5259.3–299.6174.7144.9–219.5
2060273.5258–293.7181.7138.1–219.8
2061275.4257–298171.8135.5–218.1
2062270.8251.7–291.8177.5139.9–224
2063275.9256.6–292.2181.4140.1–213.8
2064276.4256.6–298.4185.3140.1–215.2
2065275.3256–295.1183.5141.1–221.8
2066276.9260–296.5181.9146.3–219.3
2067272.6255.4–293.3178.8138.8–229.2
2068277.5258.1–296.5186144.2–228.4
2069276.1257.7–293.3183.7141.7–225.3
2070277.2256.6–296.6180.7140.4–228.2
2071277.2258.4–295.6184.9146.9–235.2
2072281.9263.8–298.9191.3155–226.1
2073276.8257.9–296.8191.6152.4–235.6
2074277.7258.7–295.9183.3149.7–231.7
2075278.5260.1–298.5183.8144.8–233
2076278.1261.1–294.2191.1150.9–233.2
2077283.8263.1–302.3191.3152.6–238.2
2078283.8263.5–299.4189156.6–233.8
2079278.9259.2–300.6190.5147–237.3
2080281.2262.1–299.4197.3150.7–241.2
2081279.1259.3–301.8195.6153.4–237.4
2082280.2260.2–298.4194.5157.3–237.3
2083280.8260.8–302.3193.2151–249.8
2084280.4263.8–301201.1152.2–246.7
2085284.6259.2–303204.2162.3–252.3
2086281.9262.8–302.4195156–248.7
2087279.7258.8–302.8196.7160.8–244.5
2088282.3260.7–303.3208.4154.7–246.9
2089283.4262.4–300.5201.3158.6–248.2
2090283.9259.8–301.9197.9160.7–253.6
2091283.1260.4–304.8210161.6–256
2092281.6259.7–303.1205.8158.3–253.6
2093284.8265.8–305.4207.2161.2–251.9
2094284.6262.8–305.6207.9161.3–250.6
2095283.6262–304.6214.2166.4–258.5
2096284.9263.3–306.3205.3159.8–257.4
2097280261–300.5206.6158.4–256.8
2098282.5262–302.1209.1161–258.3
2099285.3266.2–305.4208.5160.1–256
2100283.6262.8–304.1208158.6–258.6

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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