马拉维与赞比亚对比

马拉维与赞比亚:热带夜

2014 年热带夜:马拉维为 138.1 夜,赞比亚为 62.9 夜(CMIP6 气候模型中位数模拟)。 2014 年马拉维的数值较高,高出 75.2 夜,是赞比亚的 2.19 倍。

每年夜数 · CMIP6

马拉维与赞比亚:热带夜2014 年热带夜:马拉维为 138.1 夜,赞比亚为 62.9 夜(CMIP6 气候模型中位数模拟)。 2014 年马拉维的数值较高,高出 75.2 夜,是赞比亚的 2.19 倍。
马拉维赞比亚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,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,赞比亚为 171.5 夜。

逐年数据

每年夜数 · CMIP6

年份马拉维赞比亚
2014138.162.9
2013138.964.7
2012137.463.9
2011136.661.5
2010132.459.3
2009131.457.5
2008130.856
2007132.855.1
2006129.855.9
2005129.554.5
2004133.458.4
2003132.556.6
2002130.355
200113459
2000126.652.9
1999124.848
1998127.151.3
1997124.247.8
1996121.343.5
1995120.943.9
1994118.441.6
1993113.835.3
1992114.136
1991120.942.7
1990123.846.4
1989120.545
1988120.843.6
1987118.844
1986121.143.8
1985115.738.7
1984116.238.7
1983115.538.8
1982115.140
198111941.7
1980116.939.7
1979117.740.7
1978114.838.9
1977117.240
197611435.7
197511437.1
1974115.237.4
1973114.738.8
1972113.835
1971114.136
1970115.838.1
1969114.337.1
196811034.1
1967109.832.2
196611133.1
1965111.534.9
1964106.331.3
1963107.530.5
1962114.738.8
196111637
1960117.439.3
1959115.638.3
1958116.439
1957114.637.8
1956111.434.6
1955115.238.2
1954113.938
195311335.4
1952113.537.6
1951113.536.9
1950112.836
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份马拉维赞比亚
2015145.7126.7–164.372.150.1–93.9
2016139.8122.6–157.466.845.9–85.7
2017143.6127–161.871.449.7–92.5
2018143.1124.6–162.673.852.7–94.8
2019143.8128.3–161.473.354–97.6
2020145127.3–165.877.556.9–100.4
2021145.3128–163.676.755.7–104.5
2022151130.1–169.184.861.6–109.7
2023149.2129.5–171.284.763–108
2024152.4130–172.685.158.2–113.9
2025151.1129.7–170.484.957.1–116
2026151.1126.2–173.883.658.4–119.4
2027154.4135.1–173.189.562.5–115.7
2028155.5134.6–17489.965–118.6
2029159.8139.2–178.59669.8–122.8
2030155.6138.7–174.59166.7–118.1
2031161.1143.4–177.697.668.2–121.3
2032160.8141.3–181.394.970.3–122.2
2033161.3135.6–179.298.270.1–123.6
2034160.9138.9–18597.370.4–135.2
2035164.3140.4–189.5104.168.4–137.8
2036163.8137.6–182.599.568.7–131.5
2037166.9144.6–189.2107.177.4–139.8
2038172.2148.4–191.2110.383.2–138.8
2039164.8147.3–188.2101.874.3–139.1
2040164.4146.4–189.7100.872.5–145.3
2041169.3143.7–192.5113.978.7–147.6
2042169.8146.3–197.8111.379.1–155.1
2043167.5147.1–193.2106.678.3–150.6
2044172.6148.3–197110.574.3–145.5
2045170.4153.1–194.7109.882.2–148.2
2046176.3151.2–203.1119.485.9–160
2047178.7157.8–200.9123.191.1–159.4
2048180.7158.9–204.1124.590.6–160.2
2049176.7154–205.4124.586.1–167.1
2050180.4155.2–204.9130.592–166
2051182.9162.1–207.4128.498.1–169.8
2052184.9163.2–209.6130.798.6–170.4
2053177.2149.6–207.4128.488–168.8
2054185.1157.1–208132.193–169.6
2055186.1159.2–212.6132.1100.1–176.1
2056184.6158.5–214.3132.492.7–179.6
2057184.7159.3–212.3133.298.5–178.5
2058188.5163.8–214.7137.299.2–179.7
2059189.8166.9–218.5139.8105.8–189.5
2060192.6163.4–218.1145.4102.9–191
2061186.4158.8–216.8136.692.8–196.9
2062192.3163.9–218.6143.9101–194.7
2063189.2165.2–220.3144.5101.7–187.8
2064197161.3–218147.998.4–180.9
2065193.1165.8–225.2148.6104.3–199.8
2066201170.1–224.7152.1109.4–193.6
2067193.1164.2–223.7140.6103.2–195.7
2068198.6163.7–227.1150.8105.7–200.3
2069199.4165.8–225150.5106.3–197
2070198.7168–226.7145.8104.7–202.4
2071199.3167.9–233.5153.1112.7–212
2072202.3173.2–226.2157.2120–195.7
2073205.4168.2–233.4161.5115.2–210.9
2074198.2175.4–227.7149.2115–198.7
2075199.6168.9–228.3148.2111.5–202.2
2076198.8169.8–225.2150.4112–201.9
2077202172.2–231.2156.5120.3–208.3
2078203.5175.8–232.1157.2122.2–209.5
2079203.6172.2–236.1156.8118.1–207.3
2080204.7172.2–234.3159.8116–211.9
2081202.2174.9–231.3160.2117.1–208.6
2082204.3178.3–228.6159.6119.6–200.6
2083205.8170.7–238.3159.5110.7–219.9
2084208.1175.9–235.6166124.3–210.3
2085211.1179.4–241172.9126.8–221.1
2086203.3175.4–237161.9120.6–224.1
2087205.3181.2–237.7158.3129.2–219.6
2088211.6174.7–240.6168.4123.9–218.5
2089208.9180.5–237.8168.5129.9–217.9
2090209.4173.4–243165.7124–223.8
2091214.3179.7–244.8177.4129.5–227.2
2092213.2176.8–242.3170.6127.8–221.5
2093212.5177.8–242.2173.6123.6–223.3
2094211.8179.7–241.5171.4130.3–220.7
2095216.9185–243.8179131.6–228.6
2096213.1182–247.6170.8124.8–233.3
2097210.8174.9–242.1167.2122.2–224.3
2098214.4181.5–242.2172.5131.9–226.9
2099213.5181.9–244.1171.7126.5–229.1
2100213.3181.5–246.3171.5124.3–228

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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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