马拉维与南苏丹对比

马拉维与南苏丹:热带夜

2014 年热带夜:马拉维为 138.1 夜,南苏丹为 343.7 夜(CMIP6 气候模型中位数模拟)。 2014 年南苏丹的数值较高,高出 205.6 夜,是马拉维的 2.49 倍。

每年夜数 · CMIP6

马拉维与南苏丹:热带夜2014 年热带夜:马拉维为 138.1 夜,南苏丹为 343.7 夜(CMIP6 气候模型中位数模拟)。 2014 年南苏丹的数值较高,高出 205.6 夜,是马拉维的 2.49 倍。
马拉维南苏丹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,南苏丹的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年马拉维为 213.3 夜,南苏丹为 361.1 夜。

逐年数据

每年夜数 · CMIP6

年份马拉维南苏丹
2014138.1343.7
2013138.9342.1
2012137.4342.8
2011136.6343.3
2010132.4341.9
2009131.4338.8
2008130.8339.8
2007132.8336.9
2006129.8339
2005129.5336.8
2004133.4336.6
2003132.5338.9
2002130.3336.6
2001134338.7
2000126.6334.6
1999124.8331.8
1998127.1333.6
1997124.2334.5
1996121.3330.7
1995120.9329.6
1994118.4328.2
1993113.8321.9
1992114.1321.5
1991120.9329.1
1990123.8332.6
1989120.5329
1988120.8330.5
1987118.8328.8
1986121.1330.4
1985115.7327.1
1984116.2324.1
1983115.5322.8
1982115.1322.8
1981119329.9
1980116.9326.5
1979117.7325.3
1978114.8324.1
1977117.2325
1976114322.6
1975114320.8
1974115.2320.1
1973114.7325.4
1972113.8324.7
1971114.1319.9
1970115.8322.3
1969114.3318.5
1968110318.3
1967109.8315.6
1966111317.2
1965111.5316.5
1964106.3312.9
1963107.5309.8
1962114.7323.9
1961116323.3
1960117.4324.8
1959115.6321.5
1958116.4320.2
1957114.6322.1
1956111.4319.5
1955115.2317
1954113.9322.4
1953113321.6
1952113.5322.4
1951113.5323.9
1950112.8318.6
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份马拉维南苏丹
2015145.7126.7–164.3342.7327.5–353.3
2016139.8122.6–157.4342.1325.1–351.1
2017143.6127–161.8344.5326.9–353.7
2018143.1124.6–162.6344.1324.9–353.7
2019143.8128.3–161.4344.5324–354.2
2020145127.3–165.8344.9326.9–355.6
2021145.3128–163.6347.3329.2–355.3
2022151130.1–169.1344.5326.1–355.5
2023149.2129.5–171.2347.2329.2–357
2024152.4130–172.6350.4331.6–357.9
2025151.1129.7–170.4347.1330.2–357.7
2026151.1126.2–173.8347.6329.5–356.7
2027154.4135.1–173.1346327.1–356.1
2028155.5134.6–174349.4333.5–357.3
2029159.8139.2–178.5348.6337.5–355.6
2030155.6138.7–174.5349.3335.5–357.2
2031161.1143.4–177.6351.3336.3–357.6
2032160.8141.3–181.3348.6333.6–357.7
2033161.3135.6–179.2350.8336.7–359.4
2034160.9138.9–185350.2337.5–358.3
2035164.3140.4–189.5352.3331–359.5
2036163.8137.6–182.5352340.8–359.1
2037166.9144.6–189.2351.9337.4–359.5
2038172.2148.4–191.2354.3341.9–359.6
2039164.8147.3–188.2353.8340.6–360
2040164.4146.4–189.7353.5338.7–360.2
2041169.3143.7–192.5353.2336.9–360.2
2042169.8146.3–197.8351.9336.9–360.3
2043167.5147.1–193.2353.2336.2–359.5
2044172.6148.3–197353.7339.9–361.1
2045170.4153.1–194.7353.7342.2–360.6
2046176.3151.2–203.1355.4342.2–361
2047178.7157.8–200.9355.7344–361.2
2048180.7158.9–204.1354.7342.5–361.6
2049176.7154–205.4356.7346.4–361.1
2050180.4155.2–204.9356.8345.6–361.7
2051182.9162.1–207.4356345.4–361.8
2052184.9163.2–209.6355.3343.8–362.2
2053177.2149.6–207.4355.5343.4–361.7
2054185.1157.1–208356.9345.2–362.1
2055186.1159.2–212.6356.9345–361.7
2056184.6158.5–214.3356.7345.7–363.1
2057184.7159.3–212.3358.4349.2–362.6
2058188.5163.8–214.7357.7345–361.8
2059189.8166.9–218.5358.6348.4–362.6
2060192.6163.4–218.1357.7344.7–363.8
2061186.4158.8–216.8358.2345.8–362.7
2062192.3163.9–218.6357.4345.2–363.1
2063189.2165.2–220.3358.8347.3–362.6
2064197161.3–218358.9348.4–363.3
2065193.1165.8–225.2359.1351.1–362.9
2066201170.1–224.7359.2350.6–363.1
2067193.1164.2–223.7358.6347.6–363.3
2068198.6163.7–227.1359.9350.3–364.4
2069199.4165.8–225357.6347–363.1
2070198.7168–226.7359.5350.4–363
2071199.3167.9–233.5359.6350.5–363.2
2072202.3173.2–226.2360.2348.4–364.2
2073205.4168.2–233.4359.3350.3–363.5
2074198.2175.4–227.7359.5348–363.3
2075199.6168.9–228.3359.9348.5–363.4
2076198.8169.8–225.2359.4350.5–364
2077202172.2–231.2359.9352.2–363.7
2078203.5175.8–232.1360351.2–363.4
2079203.6172.2–236.1359.8350.9–363.3
2080204.7172.2–234.3361.3349.8–364.6
2081202.2174.9–231.3360.4350.5–363.9
2082204.3178.3–228.6360.3351–363.3
2083205.8170.7–238.3360351.1–363.8
2084208.1175.9–235.6360.8350.8–364.9
2085211.1179.4–241361352.3–363.7
2086203.3175.4–237360.4352.5–364.1
2087205.3181.2–237.7359.7347.8–363.8
2088211.6174.7–240.6360.3352.2–364.7
2089208.9180.5–237.8360.2352.3–363.8
2090209.4173.4–243360.2351.3–363.9
2091214.3179.7–244.8360.9351.6–364.1
2092213.2176.8–242.3360.7352.4–364.7
2093212.5177.8–242.2361.6354.1–363.9
2094211.8179.7–241.5361.3353.8–364.3
2095216.9185–243.8361.5353.2–364
2096213.1182–247.6361.1352.8–365.1
2097210.8174.9–242.1360.7351.9–364.2
2098214.4181.5–242.2361.5352.6–364.1
2099213.5181.9–244.1361.2352.4–364.1
2100213.3181.5–246.3361.1352.6–364.2

分别查看各国

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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