马达加斯加与索马里对比

马达加斯加与索马里：热带夜

2014 年热带夜：马达加斯加为 138.3 夜，索马里为 295.2 夜（CMIP6 气候模型中位数模拟）。 2014 年索马里的数值较高，高出 156.9 夜，是马达加斯加的 2.13 倍。

在地图上查看其变化

每年夜数 · CMIP6

马达加斯加与索马里：热带夜2014 年热带夜：马达加斯加为 138.3 夜，索马里为 295.2 夜（CMIP6 气候模型中位数模拟）。 2014 年索马里的数值较高，高出 156.9 夜，是马达加斯加的 2.13 倍。
马达加斯加索马里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，索马里的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年马达加斯加为 198.5 夜，索马里为 328.2 夜。

逐年数据

每年夜数 · CMIP6

年份马达加斯加索马里
2014138.3295.2
2013138296.8
2012138.3296.7
2011136.8297.1
2010134.2294.6
2009133.5293.5
2008132.3292.2
2007133.1293.3
2006131.6292.4
2005130.3292.3
2004133.5293.8
2003131293.5
2002131.8292.1
2001131.7292.4
2000127.4290.2
1999128.4288.6
1998128.6289.9
1997125.3288.8
1996121.8285
1995123.3285.2
1994121.8284.2
1993116280.2
1992116.6278.1
1991124.9286.6
1990126.2288.5
1989124285.1
1988123.8285.6
1987122.8282.5
1986123.8283.4
1985120279.6
1984118.6281.4
1983116.5277.1
1982121.8283.7
1981122.1282.5
1980120.3280
1979120.7280.4
1978119.3280.5
1977119282.9
1976117.4278.7
1975116.5276.8
1974119.5279.3
1973119280.8
1972117278.3
1971116.3278.2
1970117278.3
1969116.3276.8
1968113.1276.3
1967113274.3
1966114.1275.9
1965112.2275.2
1964109.6275.1
1963109.7272.9
1962115.3277.9
1961118.5280.3
1960118.2280.8
1959119278.8
1958118.7280.9
1957117.6280.3
1956115.5276.1
1955116.6280.1
1954115.9278.2
1953116.4277.2
1952117.4279.4
1951116279
1950116.3278.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份马达加斯加索马里
2015142.8126.7–159.3299.3283.7–311
2016137.8122.2–156296.8282.3–308.3
2017143.1125.6–159.4299.6284.6–310.1
2018143.7125.9–160.3301.3287.9–310.2
2019143.4124.4–162.3299.1286.1–311.9
2020143.4125.2–159299.4285.3–310.3
2021145.4128.8–160.4302.4289.1–313.6
2022150.4133.4–165.2304.5289.7–314.6
2023149.7132.1–166304.1290.6–312.4
2024150.7131.4–167.9303.4290.1–317
2025149128.8–169.1303.1288.8–317.8
2026150.1127.4–169.9303.2288.7–315.4
2027151.8131.9–170.8303.8287.7–314.9
2028154.9137.7–173.1305.4291.3–316.8
2029155.7135.2–173.8307.8294–317.8
2030154.8136.4–171.3304.5289.6–314.9
2031158.1141.3–174.8307.4292.3–317.9
2032157.9136.2–178.4308.3292.4–319.6
2033158.9136.7–177.8307.2292–317.6
2034158.6140.6–179.6305.9292.3–321.2
2035161.1140.2–181.6308.7293.4–321.1
2036159.5139.4–177.1307.5295.4–317.7
2037165.8144.7–182.8310.1298.4–319.9
2038166.5149.3–183.9311.1296.4–323.2
2039164.1145.1–183.9308.6295.9–321.9
2040162.8144.5–184.8311.7295.9–324.2
2041165.8143.5–183.9312296.6–321.5
2042165.1144.3–188.4311.7295–325.7
2043165.6148.5–184.7312298–323.1
2044167.3145.8–187311.4297.3–323
2045166.9147.1–187.1312.3298.6–323
2046171.4149.6–193314.4299–327.7
2047171.7148.8–193.4315.8300.2–327.9
2048173.7151.7–193.6316.9302.8–327.5
2049172.2151.4–192.9314.9303.2–325.2
2050174.4150.5–193.6315.9300.6–324.5
2051175154.3–195.1314.9301.9–326.9
2052176153.8–196.7316.2301.6–329
2053176.6151.1–197.8314.8302.3–326.8
2054175.5152.8–199.2316.2301.5–330.1
2055179.2157.3–196.8317.4302.7–327.8
2056178.8156.5–199.7316.5302.9–332.3
2057177.7155.5–201316.8302.5–329.8
2058180.5158.9–202.4316.9300.7–330.9
2059181.8158.3–202.5320.8305.2–332.5
2060185.1159.5–207.8321.3305.7–331.9
2061180.6157.6–203.8317.8304.8–330.3
2062180.6157.1–205.6319.6304.3–336
2063185156.8–210.7320.9305.3–332
2064184.7159.1–205.7319.7306.8–330.5
2065183.8157.1–208.5318.3304.6–334.6
2066187.3159.6–211321307.9–333.9
2067184.9155.9–208.9320.5304.3–334.4
2068187.5161.7–211.1321.7305.6–336.3
2069187.5162–211.3322.3308.6–335.4
2070187.8160.4–213.6321.1305.3–335.6
2071190.7162.7–216.6324.5308.4–336.9
2072191.8168.2–215.8324.1308.2–334.1
2073191.4168.7–214.5323.7308.1–337.9
2074189.4162.6–217.7322306–334.6
2075189.3163.8–214.2323.6307.6–336.4
2076191.1164.3–214323.6309–333.3
2077191.9168.8–217.1324.2309.6–335.9
2078190.1166.5–219.3324.7310.1–333.7
2079190.1163.7–216.2323.2307.6–336.3
2080194.8167.7–219.4324.7310.6–337.8
2081191.7166.7–218.1323.2311.1–335.3
2082193.8169.2–216.7324.3309.4–336.4
2083194.6166.1–218.1323.6308.3–342.4
2084197.9170–219.7326.2309.4–337.5
2085197.8172.3–223.7327.7311.9–339.4
2086192.9169.6–220326.6311.1–340.2
2087195.2170.4–220.1327.3311.5–339.1
2088198.1165.1–225.5328.6308.2–341.6
2089196.3167.9–227.6326.7312–340.2
2090197.5172.4–228.1326.5311.7–339.5
2091199.2172.7–226.7328.6311.5–340.9
2092202.4170.7–226.6329.1312.2–341.8
2093202.1172.3–230.5327.3312.1–342.8
2094198.3168.6–224325.6312–336.2
2095200.7171.7–225.1329314–341.2
2096199.8173.6–226.3327.9311.6–341.9
2097201.2170–227.6325.6311–340
2098201.1170.7–227.2327.7311.4–341.1
2099198.3173.8–225.8327.3311.9–339.3
2100198.5173.3–227.7328.2313.4–341.2

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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。

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