马里与塞内加尔对比

马里与塞内加尔:热带夜

2014 年热带夜:马里为 250.2 夜,塞内加尔为 302.1 夜(CMIP6 气候模型中位数模拟)。 2014 年塞内加尔的数值较高,高出 51.9 夜,是马里的 1.21 倍。

每年夜数 · CMIP6

马里与塞内加尔:热带夜2014 年热带夜:马里为 250.2 夜,塞内加尔为 302.1 夜(CMIP6 气候模型中位数模拟)。 2014 年塞内加尔的数值较高,高出 51.9 夜,是马里的 1.21 倍。
马里塞内加尔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,塞内加尔的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年马里为 283.6 夜,塞内加尔为 347.3 夜。

逐年数据

每年夜数 · CMIP6

年份马里塞内加尔
2014250.2302.1
2013247.3300.9
2012253.1304.1
2011251.9302.1
2010250.4301.5
2009248302.1
2008247.8298.3
2007248.1298.5
2006245.5298.6
2005244.3298.1
2004243.9294.7
2003247.1296.1
2002245.8296
2001245.6298.9
2000243.2295
1999242.4293.2
1998240.6292.5
1997240.7288.5
1996236.4285.1
1995238285.9
1994236.2283.7
1993235.1282
1992232277.6
1991238.7286.7
1990241292.5
1989236.3282.1
1988234.7282.4
1987236.1281.8
1986237.1283
1985235.3278.1
1984233274.6
1983231.2276.3
1982234.9281.3
1981233.9277.9
1980231.5277.6
1979233.8281
1978234.8280.7
1977233.6278
1976231.7274.4
1975232.4278.4
1974229.7273.8
1973230.3274.5
1972230.7273.5
1971229.5273.4
1970229.9271.3
1969227.3271.6
1968230.5272.6
1967229275.4
1966228.1273.3
1965230.2272.8
1964228.9271.8
1963228.2272.8
1962231.7280.2
1961231.6276.9
1960235.1279.2
1959231.8277.4
1958231.8278.8
1957233.3274.4
1956230.7273.2
1955230.6273.4
1954232275
1953228.3271.7
1952229.2271
1951231.4272.9
1950228.6270.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份马里塞内加尔
2015247.9231.5–264.7298.9275.9–321
2016248231.3–262.6302.7276.5–319
2017252.7233.6–268.2302.9285.4–318.6
2018254.2236.4–269305.6289.2–321.5
2019251.6233.5–272.3307.6280.6–328.1
2020251.3231.2–270.7305.2276.2–322.9
2021254.8238.5–270307.6286–325.6
2022257237.8–275.3312.9289.6–334.3
2023254.2239.6–269.2307.5292.2–328.6
2024259.3242.3–276.8313.2294.6–326.9
2025256.2239.2–272.3311.8289–329.4
2026256.8237.2–277.8308.3285.2–328.6
2027258.5240.3–273.1310.7287.8–330
2028259.7243.6–273.9316.3289.2–331.6
2029260.8240.3–275.3315.7291.2–334.2
2030258.1237.5–272.6311.5289.1–329.1
2031262.2243.4–280.6318.8296.3–335
2032260.5242.1–278.2316295.7–332.4
2033262.1241.7–280.3316.7289.6–336.4
2034260.7242–275.3315.4291.6–335.1
2035261.5244.8–283.6316.8291.1–335.3
2036262.5244.6–281.1320.8298.5–335.3
2037264.5245.2–279.6324.5303.1–337.7
2038266246.7–283.2323.5304.2–339.7
2039262.3245–281.6323.3300.9–337
2040263.6247.5–279.6322.4298.9–339.5
2041264.6250.8–283.1320.2300.1–343.6
2042265.7245.9–283.5320302.1–339.9
2043264.8246.9–278.8320.4303.7–340.4
2044269.3247.4–284.7326.9301.5–340.9
2045265.6248.9–283.7324.1304.1–340
2046269.8247.5–286.4325.9304.7–340.6
2047271.9251.2–290.3329301.4–347
2048270.4254.4–288.2331.1314.3–344.8
2049272252.1–288.2331.3308.3–343.7
2050269.5250.6–286.4327.6306.5–341.9
2051268.8251.7–286.9328307.1–344
2052270.1252.7–292.1325.4308.1–344.2
2053269.3249.2–288.8331.8304.9–347.2
2054270.3251.7–290.6330.1310.8–345.2
2055270.9252.7–288.1330.1305.5–344
2056273248.6–291.4331.4307.4–349.8
2057275.5255.2–295337306.4–351.5
2058271252.7–293.2333313.2–350.2
2059274.5259.3–299.6334315.6–353.5
2060273.5258–293.7334.5316.4–351.1
2061275.4257–298333.7307.5–352.9
2062270.8251.7–291.8333.3312.4–350.2
2063275.9256.6–292.2335.4313.2–352.8
2064276.4256.6–298.4335.4307.1–351.1
2065275.3256–295.1334.8314.1–352.8
2066276.9260–296.5337.3312.9–351
2067272.6255.4–293.3335.5309.9–349.9
2068277.5258.1–296.5335.5313.5–354
2069276.1257.7–293.3336.1316.9–351.8
2070277.2256.6–296.6333.3312.9–352.9
2071277.2258.4–295.6335.7321.1–351.9
2072281.9263.8–298.9342.3321–354.6
2073276.8257.9–296.8339.4320.1–356.1
2074277.7258.7–295.9335.9317.1–351.8
2075278.5260.1–298.5338.4320.7–354.1
2076278.1261.1–294.2338.7321.9–352
2077283.8263.1–302.3342.8314.8–357.3
2078283.8263.5–299.4343325.8–355.4
2079278.9259.2–300.6341.2322.3–357.6
2080281.2262.1–299.4340.9317.7–358.1
2081279.1259.3–301.8339.8315.5–357.1
2082280.2260.2–298.4341.6316.4–354.9
2083280.8260.8–302.3340.8324.8–356.9
2084280.4263.8–301340.4322.8–354.9
2085284.6259.2–303346.8325.6–357
2086281.9262.8–302.4341.7324.4–357.6
2087279.7258.8–302.8343.9325.9–357.7
2088282.3260.7–303.3341.5321.6–358.2
2089283.4262.4–300.5343.2324.3–355.2
2090283.9259.8–301.9342320.6–356
2091283.1260.4–304.8341.7319.8–356.4
2092281.6259.7–303.1339.7318.4–357.7
2093284.8265.8–305.4345326.8–356.4
2094284.6262.8–305.6344.4324.3–357.6
2095283.6262–304.6346.3320.6–359.4
2096284.9263.3–306.3344.4323.1–359.2
2097280261–300.5341.4321.3–353.8
2098282.5262–302.1345322.3–357
2099285.3266.2–305.4344.6322.7–357.5
2100283.6262.8–304.1347.3323.6–359.2

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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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