马达加斯加与尼日利亚对比

马达加斯加与尼日利亚:热带夜

2014 年热带夜:马达加斯加为 138.3 夜,尼日利亚为 303.9 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 165.6 夜,是马达加斯加的 2.2 倍。

每年夜数 · CMIP6

马达加斯加与尼日利亚:热带夜2014 年热带夜:马达加斯加为 138.3 夜,尼日利亚为 303.9 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 165.6 夜,是马达加斯加的 2.2 倍。
马达加斯加尼日利亚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,尼日利亚的数值都更高。
  • 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,尼日利亚为 332.3 夜。

逐年数据

每年夜数 · CMIP6

年份马达加斯加尼日利亚
2014138.3303.9
2013138299.5
2012138.3304.4
2011136.8301.5
2010134.2301.4
2009133.5297.8
2008132.3297.4
2007133.1298
2006131.6297.2
2005130.3295.4
2004133.5294.1
2003131298.4
2002131.8295.2
2001131.7299.1
2000127.4293.9
1999128.4290.3
1998128.6289.9
1997125.3292.5
1996121.8290
1995123.3289.1
1994121.8287.4
1993116284
1992116.6281.6
1991124.9289.1
1990126.2290.6
1989124287.2
1988123.8288
1987122.8285.6
1986123.8289.1
1985120284.2
1984118.6284.4
1983116.5281.9
1982121.8283.5
1981122.1286.4
1980120.3282.8
1979120.7283
1978119.3282.8
1977119285.9
1976117.4281.7
1975116.5280.4
1974119.5280.7
1973119284.3
1972117284.1
1971116.3279.3
1970117282
1969116.3278.7
1968113.1279.6
1967113278.1
1966114.1279.4
1965112.2279
1964109.6276.8
1963109.7275.1
1962115.3284.1
1961118.5281.9
1960118.2285.9
1959119282.8
1958118.7281.4
1957117.6283.3
1956115.5280.8
1955116.6280.4
1954115.9284.1
1953116.4280.4
1952117.4280.8
1951116284.2
1950116.3279.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份马达加斯加尼日利亚
2015142.8126.7–159.3301.7282.9–317.3
2016137.8122.2–156301.4280.8–312.5
2017143.1125.6–159.4302.5284.3–316.3
2018143.7125.9–160.3302.2286.8–316.5
2019143.4124.4–162.3300.1281.2–318
2020143.4125.2–159303283.7–318.5
2021145.4128.8–160.4305.1287.1–318.4
2022150.4133.4–165.2305.1286–319.5
2023149.7132.1–166305286.4–318.9
2024150.7131.4–167.9310.6295.1–321.5
2025149128.8–169.1307.5292–319.4
2026150.1127.4–169.9306.9286.1–322.9
2027151.8131.9–170.8307.4288–321.7
2028154.9137.7–173.1310.7293.4–322.6
2029155.7135.2–173.8311.4293.3–324.4
2030154.8136.4–171.3310.6294.1–322.5
2031158.1141.3–174.8312.2295–324.8
2032157.9136.2–178.4310290–323.5
2033158.9136.7–177.8313292.9–327
2034158.6140.6–179.6311.7294.8–325.1
2035161.1140.2–181.6314.5296.7–327.7
2036159.5139.4–177.1313.5294.1–326.5
2037165.8144.7–182.8315.6297.9–327.1
2038166.5149.3–183.9316.9301.2–329.6
2039164.1145.1–183.9315.4299.4–328.2
2040162.8144.5–184.8315.6297.9–327.4
2041165.8143.5–183.9316.8300.6–330.2
2042165.1144.3–188.4316.3300.3–330.3
2043165.6148.5–184.7316298.4–326
2044167.3145.8–187317.9299.5–329.6
2045166.9147.1–187.1316.6300.5–330.4
2046171.4149.6–193317.8302.2–330.7
2047171.7148.8–193.4319.8301.5–333
2048173.7151.7–193.6320.1302.4–331.7
2049172.2151.4–192.9320.7305.3–331.7
2050174.4150.5–193.6320.9304–335
2051175154.3–195.1321304.1–334.2
2052176153.8–196.7320.9303.9–333.5
2053176.6151.1–197.8320.9303.3–334.1
2054175.5152.8–199.2324.5304.5–338.2
2055179.2157.3–196.8322.2308.4–333.7
2056178.8156.5–199.7324.8305.8–336.3
2057177.7155.5–201326310.8–337.3
2058180.5158.9–202.4322.9307.4–334.2
2059181.8158.3–202.5325.7308.9–339
2060185.1159.5–207.8323.8307.5–337
2061180.6157.6–203.8324.4307.1–338.2
2062180.6157.1–205.6325.7308–339.3
2063185156.8–210.7326.6308.7–337
2064184.7159.1–205.7326.2311–339.8
2065183.8157.1–208.5327.6313.5–339.4
2066187.3159.6–211328.4311.3–339.6
2067184.9155.9–208.9326308.4–340.5
2068187.5161.7–211.1329.3311.2–342.9
2069187.5162–211.3326.6309.9–338.1
2070187.8160.4–213.6327.4312.6–340.7
2071190.7162.7–216.6329.1313–341.1
2072191.8168.2–215.8330.3315.9–342.1
2073191.4168.7–214.5326.3309.5–341
2074189.4162.6–217.7326.7311.4–341.4
2075189.3163.8–214.2328.9314.5–341.8
2076191.1164.3–214329.6313.4–342
2077191.9168.8–217.1332.5314.4–343.3
2078190.1166.5–219.3329.8312.8–342.1
2079190.1163.7–216.2329.6313.8–340.6
2080194.8167.7–219.4331.7314.1–344.8
2081191.7166.7–218.1329.3311.6–343.7
2082193.8169.2–216.7329.3313.3–341.4
2083194.6166.1–218.1330.4315–342.2
2084197.9170–219.7330.5311.9–344.2
2085197.8172.3–223.7332.7316.6–343.6
2086192.9169.6–220331.9316.3–343.6
2087195.2170.4–220.1330.7314.9–342.4
2088198.1165.1–225.5331.7313.2–342.7
2089196.3167.9–227.6331.1318.3–341.9
2090197.5172.4–228.1332.4312.7–343.9
2091199.2172.7–226.7333.3311–345.8
2092202.4170.7–226.6332.7313.8–345.7
2093202.1172.3–230.5334.2318.6–344.9
2094198.3168.6–224334.2317.3–345.6
2095200.7171.7–225.1333.8319.3–346.3
2096199.8173.6–226.3332.5317.4–346.7
2097201.2170–227.6331.8312.6–344.6
2098201.1170.7–227.2332.3316–343.7
2099198.3173.8–225.8333316.9–344.2
2100198.5173.3–227.7332.3318.5–345

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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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