马拉维与乌干达对比

马拉维与乌干达:热带夜

2014 年热带夜:马拉维为 138.1 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年马拉维的数值较高,高出 13.4 夜,是乌干达的 1.11 倍。

每年夜数 · CMIP6

马拉维与乌干达:热带夜2014 年热带夜:马拉维为 138.1 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年马拉维的数值较高,高出 13.4 夜,是乌干达的 1.11 倍。
马拉维乌干达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,马拉维的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年马拉维为 213.3 夜,乌干达为 245.3 夜。

逐年数据

每年夜数 · CMIP6

年份马拉维乌干达
2014138.1124.7
2013138.9124
2012137.4122.2
2011136.6125.7
2010132.4122.5
2009131.4114.8
2008130.8114.1
2007132.8111.2
2006129.8117.4
2005129.5113.8
2004133.4114.6
2003132.5114.4
2002130.3114.4
2001134117.1
2000126.6109
1999124.8105.5
1998127.1105
1997124.2106.1
1996121.3102.1
1995120.999.9
1994118.494.6
1993113.890.8
1992114.189.9
1991120.9102.1
1990123.8103.8
1989120.599.1
1988120.898.6
1987118.898.3
1986121.199.2
1985115.792.1
1984116.294.6
1983115.590.4
1982115.194.4
198111998.5
1980116.996.3
1979117.793.9
1978114.891
1977117.295.1
197611492
197511489.6
1974115.291.8
1973114.792.8
1972113.890
1971114.187.1
1970115.888.8
1969114.388
196811087.3
1967109.882.3
196611182.5
1965111.582.2
1964106.378.2
1963107.580.3
1962114.788.5
196111690.7
1960117.493.2
1959115.691.3
1958116.488.7
1957114.690.1
1956111.488.8
1955115.289
1954113.989.5
195311389
1952113.589.6
1951113.591.1
1950112.887.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份马拉维乌干达
2015145.7126.7–164.3131.598.6–164.1
2016139.8122.6–157.412398.5–154.1
2017143.6127–161.8133.7108.6–162.7
2018143.1124.6–162.6134.2102.5–164
2019143.8128.3–161.4131.3104.8–166.2
2020145127.3–165.8140.7102.6–171.5
2021145.3128–163.6137.9112.9–175.4
2022151130.1–169.1140116.2–169.9
2023149.2129.5–171.2140.4114.2–184.8
2024152.4130–172.6151.1113.5–186.7
2025151.1129.7–170.4143108.5–176.4
2026151.1126.2–173.8144.6109.7–179.6
2027154.4135.1–173.1147.6116–175.4
2028155.5134.6–174151.6120.2–179.6
2029159.8139.2–178.5155.2127.3–178.6
2030155.6138.7–174.5150.4117.6–185.1
2031161.1143.4–177.6161.6132–187.2
2032160.8141.3–181.3159.1134.2–190.5
2033161.3135.6–179.2158.9123.4–200.6
2034160.9138.9–185161.5135.6–202.5
2035164.3140.4–189.5164.9126.3–193
2036163.8137.6–182.5158.5127.7–195.4
2037166.9144.6–189.2168.3138.2–207.3
2038172.2148.4–191.2173.8139.7–206.2
2039164.8147.3–188.2171.2130.1–205
2040164.4146.4–189.7170.4134.1–207.4
2041169.3143.7–192.5176.3144.6–208
2042169.8146.3–197.8175137.8–214.3
2043167.5147.1–193.2173.6132.8–207.6
2044172.6148.3–197176.1136.8–206.9
2045170.4153.1–194.7178.9138.3–217.7
2046176.3151.2–203.1191.9136.6–235
2047178.7157.8–200.9187.7156.6–225.3
2048180.7158.9–204.1189.3151.5–227.4
2049176.7154–205.4195.1154.9–233.6
2050180.4155.2–204.9191150.7–236.4
2051182.9162.1–207.4191.2154.4–228.2
2052184.9163.2–209.6192.6157.7–231.7
2053177.2149.6–207.4194.5149.7–233.5
2054185.1157.1–208199156.3–236.8
2055186.1159.2–212.6201.3151.7–240.7
2056184.6158.5–214.3198.9156.9–240.2
2057184.7159.3–212.3200165.5–244.7
2058188.5163.8–214.7208.8156.5–248.3
2059189.8166.9–218.5212.7171.1–254
2060192.6163.4–218.1212.6160.3–253.1
2061186.4158.8–216.8208.9162.4–258.1
2062192.3163.9–218.6206.4159.1–267.6
2063189.2165.2–220.3209.3168.5–246.3
2064197161.3–218210.6166.2–253.8
2065193.1165.8–225.2214.5167.8–261.1
2066201170.1–224.7211.9171.8–256.1
2067193.1164.2–223.7208.4168.3–269.8
2068198.6163.7–227.1216.4169.7–268.7
2069199.4165.8–225213170.3–268.1
2070198.7168–226.7216.4176.4–270.9
2071199.3167.9–233.5215.5174.6–273.5
2072202.3173.2–226.2227.3184.1–272.3
2073205.4168.2–233.4230.4189.3–278.5
2074198.2175.4–227.7220.7176.9–277
2075199.6168.9–228.3217.7167–274.2
2076198.8169.8–225.2228.1178.9–279
2077202172.2–231.2229.5189.6–280.5
2078203.5175.8–232.1225.6187.8–276.4
2079203.6172.2–236.1231.9168.8–277.7
2080204.7172.2–234.3232.8182.6–283.1
2081202.2174.9–231.3227.9187.6–279.3
2082204.3178.3–228.6233.1185.6–279.4
2083205.8170.7–238.3232.2175.7–297
2084208.1175.9–235.6237.2185.5–288.8
2085211.1179.4–241239.5192.4–291.7
2086203.3175.4–237236.2189.8–289.4
2087205.3181.2–237.7239.4188.9–294
2088211.6174.7–240.6236.8193.6–288.9
2089208.9180.5–237.8238.8193.8–293.7
2090209.4173.4–243237.7190.1–301.5
2091214.3179.7–244.8251188.7–300.1
2092213.2176.8–242.3243.4194.9–297.8
2093212.5177.8–242.2244.4199.2–296.8
2094211.8179.7–241.5245.6202.9–299.8
2095216.9185–243.8253.2202.4–306.1
2096213.1182–247.6241.4196.5–304
2097210.8174.9–242.1243.1194–296.6
2098214.4181.5–242.2242.9199–302.3
2099213.5181.9–244.1247.3194.4–306.1
2100213.3181.5–246.3245.3195.5–307.2

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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