马里与莫桑比克对比

马里与莫桑比克:热带夜

2014 年热带夜:马里为 250.2 夜,莫桑比克为 186.3 夜(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 63.9 夜,是莫桑比克的 1.34 倍。

每年夜数 · CMIP6

马里与莫桑比克:热带夜2014 年热带夜:马里为 250.2 夜,莫桑比克为 186.3 夜(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 63.9 夜,是莫桑比克的 1.34 倍。
马里莫桑比克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,莫桑比克为 254.4 夜。

逐年数据

每年夜数 · CMIP6

年份马里莫桑比克
2014250.2186.3
2013247.3186.9
2012253.1185.2
2011251.9184.1
2010250.4182.2
2009248178.2
2008247.8176.8
2007248.1178.9
2006245.5177.4
2005244.3176.9
2004243.9181
2003247.1180
2002245.8177.1
2001245.6180.6
2000243.2173.6
1999242.4171.5
1998240.6174.1
1997240.7169.9
1996236.4164.7
1995238165.8
1994236.2163.1
1993235.1155.5
1992232156
1991238.7167.5
1990241170.2
1989236.3164
1988234.7166.4
1987236.1166
1986237.1166.6
1985235.3159.3
1984233161.1
1983231.2159.7
1982234.9160.6
1981233.9164.5
1980231.5161.9
1979233.8162.2
1978234.8160.2
1977233.6160.2
1976231.7157.4
1975232.4157.7
1974229.7159.1
1973230.3160.4
1972230.7157.6
1971229.5155.6
1970229.9159.7
1969227.3157.8
1968230.5153
1967229152.8
1966228.1152.5
1965230.2153.1
1964228.9145.9
1963228.2146.8
1962231.7158.5
1961231.6158.8
1960235.1160.6
1959231.8159.7
1958231.8159.5
1957233.3156.9
1956230.7153.4
1955230.6159.6
1954232155.4
1953228.3156.8
1952229.2156.6
1951231.4157.4
1950228.6156.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份马里莫桑比克
2015247.9231.5–264.7191170.1–212.1
2016248231.3–262.6187.6168.6–208.2
2017252.7233.6–268.2190.1169.4–210.1
2018254.2236.4–269189.8163.6–212.8
2019251.6233.5–272.3189.7171.9–208.8
2020251.3231.2–270.7191.3169–213.8
2021254.8238.5–270193.1172.7–212.9
2022257237.8–275.3199.9176.3–216.7
2023254.2239.6–269.2196.8176.4–217.3
2024259.3242.3–276.8199.7173.4–222.8
2025256.2239.2–272.3195.7173–219.1
2026256.8237.2–277.8197.7172.6–219.3
2027258.5240.3–273.1199.9177.9–221.8
2028259.7243.6–273.9202.5181.1–221.1
2029260.8240.3–275.3207.6187.3–227.3
2030258.1237.5–272.6203.6183.2–223.8
2031262.2243.4–280.6207.3188.7–225
2032260.5242.1–278.2207.4186.7–230.9
2033262.1241.7–280.3206.1180.7–226.1
2034260.7242–275.3206.3181.3–227.7
2035261.5244.8–283.6208.2184.1–233.6
2036262.5244.6–281.1208.3183.8–226.4
2037264.5245.2–279.6213.7191.8–234.3
2038266246.7–283.2218.4195.7–240.9
2039262.3245–281.6212.6192.3–233.5
2040263.6247.5–279.6212.7189–233.9
2041264.6250.8–283.1213.1187.1–238
2042265.7245.9–283.5214.9190.4–241.3
2043264.8246.9–278.8216196.2–238.9
2044269.3247.4–284.7220.2196.1–242.1
2045265.6248.9–283.7217.2198.6–237.6
2046269.8247.5–286.4224.4200.5–247.6
2047271.9251.2–290.3224.5201.3–246.3
2048270.4254.4–288.2225.7205–247.5
2049272252.1–288.2226.4199.2–247.8
2050269.5250.6–286.4225.5198.1–246.6
2051268.8251.7–286.9227.5206.2–248.7
2052270.1252.7–292.1230.5208.6–255.2
2053269.3249.2–288.8226.3200.4–250
2054270.3251.7–290.6227.8203.9–256.1
2055270.9252.7–288.1231.5208.3–254.4
2056273248.6–291.4227.8204.6–253.1
2057275.5255.2–295227.6205.7–252.2
2058271252.7–293.2230.2208.3–251.8
2059274.5259.3–299.6235.5212.5–261.4
2060273.5258–293.7237.5208.9–257.9
2061275.4257–298232.1204.8–256.1
2062270.8251.7–291.8233.2208.6–257.9
2063275.9256.6–292.2233.3207.3–261.6
2064276.4256.6–298.4234.6209.3–255.8
2065275.3256–295.1236208.7–261
2066276.9260–296.5239.4213.6–261.8
2067272.6255.4–293.3235.5205.9–259.4
2068277.5258.1–296.5237.7211–264.3
2069276.1257.7–293.3241.1212.2–263.4
2070277.2256.6–296.6240.7212.1–266
2071277.2258.4–295.6244.1214.3–272.8
2072281.9263.8–298.9244.7215.8–267.8
2073276.8257.9–296.8246214.2–267.6
2074277.7258.7–295.9242.2219.9–271.1
2075278.5260.1–298.5244.4215.6–267.9
2076278.1261.1–294.2240.8211–264.8
2077283.8263.1–302.3241.4214.7–272.4
2078283.8263.5–299.4245.4220.8–271.1
2079278.9259.2–300.6244.1214.3–276.4
2080281.2262.1–299.4246.1221–273.6
2081279.1259.3–301.8245.6214.5–268.1
2082280.2260.2–298.4246.9220.6–268.3
2083280.8260.8–302.3247.3217.4–276.4
2084280.4263.8–301248.5223.3–270.9
2085284.6259.2–303253.4221.5–277.6
2086281.9262.8–302.4242.9216.4–272.3
2087279.7258.8–302.8247.4222.8–271.3
2088282.3260.7–303.3253221.1–274.9
2089283.4262.4–300.5251.6221.9–277.3
2090283.9259.8–301.9249.9218.6–277.9
2091283.1260.4–304.8253.2221.4–280.8
2092281.6259.7–303.1252.7221.5–279.5
2093284.8265.8–305.4256221.7–279.4
2094284.6262.8–305.6251.8221–280.3
2095283.6262–304.6255.6225.8–278.1
2096284.9263.3–306.3254.7225.8–280.4
2097280261–300.5253.2221.8–281.6
2098282.5262–302.1256.1225.2–279.6
2099285.3266.2–305.4254.9223.4–278.7
2100283.6262.8–304.1254.4226.1–279.1

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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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