马拉维与尼日利亚对比

马拉维与尼日利亚：热带夜

2014 年热带夜：马拉维为 138.1 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 165.8 夜，是马拉维的 2.2 倍。

在地图上查看其变化

每年夜数 · CMIP6

马拉维与尼日利亚：热带夜2014 年热带夜：马拉维为 138.1 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 165.8 夜，是马拉维的 2.2 倍。
马拉维尼日利亚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 年马拉维为 213.3 夜，尼日利亚为 332.3 夜。

逐年数据

每年夜数 · CMIP6

年份马拉维尼日利亚
2014138.1303.9
2013138.9299.5
2012137.4304.4
2011136.6301.5
2010132.4301.4
2009131.4297.8
2008130.8297.4
2007132.8298
2006129.8297.2
2005129.5295.4
2004133.4294.1
2003132.5298.4
2002130.3295.2
2001134299.1
2000126.6293.9
1999124.8290.3
1998127.1289.9
1997124.2292.5
1996121.3290
1995120.9289.1
1994118.4287.4
1993113.8284
1992114.1281.6
1991120.9289.1
1990123.8290.6
1989120.5287.2
1988120.8288
1987118.8285.6
1986121.1289.1
1985115.7284.2
1984116.2284.4
1983115.5281.9
1982115.1283.5
1981119286.4
1980116.9282.8
1979117.7283
1978114.8282.8
1977117.2285.9
1976114281.7
1975114280.4
1974115.2280.7
1973114.7284.3
1972113.8284.1
1971114.1279.3
1970115.8282
1969114.3278.7
1968110279.6
1967109.8278.1
1966111279.4
1965111.5279
1964106.3276.8
1963107.5275.1
1962114.7284.1
1961116281.9
1960117.4285.9
1959115.6282.8
1958116.4281.4
1957114.6283.3
1956111.4280.8
1955115.2280.4
1954113.9284.1
1953113280.4
1952113.5280.8
1951113.5284.2
1950112.8279.3
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份马拉维尼日利亚
2015145.7126.7–164.3301.7282.9–317.3
2016139.8122.6–157.4301.4280.8–312.5
2017143.6127–161.8302.5284.3–316.3
2018143.1124.6–162.6302.2286.8–316.5
2019143.8128.3–161.4300.1281.2–318
2020145127.3–165.8303283.7–318.5
2021145.3128–163.6305.1287.1–318.4
2022151130.1–169.1305.1286–319.5
2023149.2129.5–171.2305286.4–318.9
2024152.4130–172.6310.6295.1–321.5
2025151.1129.7–170.4307.5292–319.4
2026151.1126.2–173.8306.9286.1–322.9
2027154.4135.1–173.1307.4288–321.7
2028155.5134.6–174310.7293.4–322.6
2029159.8139.2–178.5311.4293.3–324.4
2030155.6138.7–174.5310.6294.1–322.5
2031161.1143.4–177.6312.2295–324.8
2032160.8141.3–181.3310290–323.5
2033161.3135.6–179.2313292.9–327
2034160.9138.9–185311.7294.8–325.1
2035164.3140.4–189.5314.5296.7–327.7
2036163.8137.6–182.5313.5294.1–326.5
2037166.9144.6–189.2315.6297.9–327.1
2038172.2148.4–191.2316.9301.2–329.6
2039164.8147.3–188.2315.4299.4–328.2
2040164.4146.4–189.7315.6297.9–327.4
2041169.3143.7–192.5316.8300.6–330.2
2042169.8146.3–197.8316.3300.3–330.3
2043167.5147.1–193.2316298.4–326
2044172.6148.3–197317.9299.5–329.6
2045170.4153.1–194.7316.6300.5–330.4
2046176.3151.2–203.1317.8302.2–330.7
2047178.7157.8–200.9319.8301.5–333
2048180.7158.9–204.1320.1302.4–331.7
2049176.7154–205.4320.7305.3–331.7
2050180.4155.2–204.9320.9304–335
2051182.9162.1–207.4321304.1–334.2
2052184.9163.2–209.6320.9303.9–333.5
2053177.2149.6–207.4320.9303.3–334.1
2054185.1157.1–208324.5304.5–338.2
2055186.1159.2–212.6322.2308.4–333.7
2056184.6158.5–214.3324.8305.8–336.3
2057184.7159.3–212.3326310.8–337.3
2058188.5163.8–214.7322.9307.4–334.2
2059189.8166.9–218.5325.7308.9–339
2060192.6163.4–218.1323.8307.5–337
2061186.4158.8–216.8324.4307.1–338.2
2062192.3163.9–218.6325.7308–339.3
2063189.2165.2–220.3326.6308.7–337
2064197161.3–218326.2311–339.8
2065193.1165.8–225.2327.6313.5–339.4
2066201170.1–224.7328.4311.3–339.6
2067193.1164.2–223.7326308.4–340.5
2068198.6163.7–227.1329.3311.2–342.9
2069199.4165.8–225326.6309.9–338.1
2070198.7168–226.7327.4312.6–340.7
2071199.3167.9–233.5329.1313–341.1
2072202.3173.2–226.2330.3315.9–342.1
2073205.4168.2–233.4326.3309.5–341
2074198.2175.4–227.7326.7311.4–341.4
2075199.6168.9–228.3328.9314.5–341.8
2076198.8169.8–225.2329.6313.4–342
2077202172.2–231.2332.5314.4–343.3
2078203.5175.8–232.1329.8312.8–342.1
2079203.6172.2–236.1329.6313.8–340.6
2080204.7172.2–234.3331.7314.1–344.8
2081202.2174.9–231.3329.3311.6–343.7
2082204.3178.3–228.6329.3313.3–341.4
2083205.8170.7–238.3330.4315–342.2
2084208.1175.9–235.6330.5311.9–344.2
2085211.1179.4–241332.7316.6–343.6
2086203.3175.4–237331.9316.3–343.6
2087205.3181.2–237.7330.7314.9–342.4
2088211.6174.7–240.6331.7313.2–342.7
2089208.9180.5–237.8331.1318.3–341.9
2090209.4173.4–243332.4312.7–343.9
2091214.3179.7–244.8333.3311–345.8
2092213.2176.8–242.3332.7313.8–345.7
2093212.5177.8–242.2334.2318.6–344.9
2094211.8179.7–241.5334.2317.3–345.6
2095216.9185–243.8333.8319.3–346.3
2096213.1182–247.6332.5317.4–346.7
2097210.8174.9–242.1331.8312.6–344.6
2098214.4181.5–242.2332.3316–343.7
2099213.5181.9–244.1333316.9–344.2
2100213.3181.5–246.3332.3318.5–345

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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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