科特迪瓦与马拉维对比

科特迪瓦与马拉维:热带夜

2014 年热带夜:科特迪瓦为 341.6 夜,马拉维为 138.1 夜(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 203.5 夜,是马拉维的 2.47 倍。

每年夜数 · CMIP6

科特迪瓦与马拉维:热带夜2014 年热带夜:科特迪瓦为 341.6 夜,马拉维为 138.1 夜(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 203.5 夜,是马拉维的 2.47 倍。
科特迪瓦马拉维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,科特迪瓦的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年科特迪瓦为 359.6 夜,马拉维为 213.3 夜。

逐年数据

每年夜数 · CMIP6

年份科特迪瓦马拉维
2014341.6138.1
2013339.6138.9
2012342.3137.4
2011340.1136.6
2010338.6132.4
2009337.3131.4
2008337.1130.8
2007336.7132.8
2006336.6129.8
2005337.6129.5
2004334.8133.4
2003337.3132.5
2002336.1130.3
2001339.5134
2000334.6126.6
1999331.3124.8
1998332.7127.1
1997331.8124.2
1996329.9121.3
1995330.5120.9
1994327.9118.4
1993327.2113.8
1992322114.1
1991331.7120.9
1990334123.8
1989328.9120.5
1988327.5120.8
1987327.9118.8
1986329.2121.1
1985324.9115.7
1984325.8116.2
1983325.4115.5
1982324115.1
1981327119
1980323.1116.9
1979327.1117.7
1978324.2114.8
1977325.5117.2
1976321.7114
1975322.8114
1974322115.2
1973323.8114.7
1972322.4113.8
1971322114.1
1970322.2115.8
1969320.9114.3
1968319.8110
1967317.1109.8
1966318.4111
1965320111.5
1964314.7106.3
1963317.4107.5
1962324.1114.7
1961323.1116
1960325.5117.4
1959322.1115.6
1958322.4116.4
1957321.2114.6
1956321.2111.4
1955320.1115.2
1954325.6113.9
1953322.9113
1952319.4113.5
1951323.9113.5
1950317.8112.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份科特迪瓦马拉维
2015339.1321.9–350.7145.7126.7–164.3
2016339.9324.6–349.1139.8122.6–157.4
2017340.5322.4–349.6143.6127–161.8
2018341.6327.4–351.6143.1124.6–162.6
2019338.5323.6–350.3143.8128.3–161.4
2020340.6324.2–352.9145127.3–165.8
2021340.8325.2–353.8145.3128–163.6
2022344327.2–353.4151130.1–169.1
2023341.2327.2–352.6149.2129.5–171.2
2024344.9331–353.9152.4130–172.6
2025342.4327.8–352.1151.1129.7–170.4
2026342.3326.6–353.3151.1126.2–173.8
2027343.9325.6–352.9154.4135.1–173.1
2028347.4333.6–355.5155.5134.6–174
2029347.2332.4–355.2159.8139.2–178.5
2030347.2332.1–353.8155.6138.7–174.5
2031349.3333.1–357.2161.1143.4–177.6
2032347.8331.5–356.9160.8141.3–181.3
2033348332.6–360.4161.3135.6–179.2
2034346.6331.7–355.8160.9138.9–185
2035348.9333.7–357.8164.3140.4–189.5
2036350.5332.7–359.1163.8137.6–182.5
2037349.8334.6–357.5166.9144.6–189.2
2038351.3338.9–358.2172.2148.4–191.2
2039350.6333.1–358.9164.8147.3–188.2
2040351.1336.2–359.6164.4146.4–189.7
2041350.8335.9–358169.3143.7–192.5
2042349.8337.3–358.6169.8146.3–197.8
2043348.4336.1–357.8167.5147.1–193.2
2044350.3337.5–359.2172.6148.3–197
2045351339.5–359.5170.4153.1–194.7
2046351.7337.6–358.6176.3151.2–203.1
2047352335.4–360.1178.7157.8–200.9
2048351.6339.9–360.3180.7158.9–204.1
2049353339.6–360.9176.7154–205.4
2050352340.6–359.3180.4155.2–204.9
2051353340.5–360.5182.9162.1–207.4
2052352339–359.8184.9163.2–209.6
2053352.7339–360.5177.2149.6–207.4
2054354.7339.5–360.9185.1157.1–208
2055353.4343.4–360.8186.1159.2–212.6
2056355.9339.6–362.8184.6158.5–214.3
2057356.3343–362184.7159.3–212.3
2058354.3344.5–361.3188.5163.8–214.7
2059355343.4–361.7189.8166.9–218.5
2060354.6343.3–362.1192.6163.4–218.1
2061354.6341.3–362.5186.4158.8–216.8
2062354.4340.8–361.3192.3163.9–218.6
2063355.4345.2–362.1189.2165.2–220.3
2064356.1344.6–362.9197161.3–218
2065355.5346.4–362.4193.1165.8–225.2
2066355.2344.5–361.2201170.1–224.7
2067355.3341.4–361.8193.1164.2–223.7
2068357.3346.3–363.6198.6163.7–227.1
2069355344.3–362.7199.4165.8–225
2070355.6344.2–362.3198.7168–226.7
2071356.8344.7–362.9199.3167.9–233.5
2072357.7346.2–363.1202.3173.2–226.2
2073356.6345.2–362.2205.4168.2–233.4
2074354.4342.1–362.7198.2175.4–227.7
2075356343.7–362.5199.6168.9–228.3
2076357.4348.5–363.3198.8169.8–225.2
2077358.1347.7–362.8202172.2–231.2
2078357.3346.8–363.2203.5175.8–232.1
2079357.4346.6–363.6203.6172.2–236.1
2080359.1349.4–364.7204.7172.2–234.3
2081358.8347.5–363.5202.2174.9–231.3
2082357346.9–363.4204.3178.3–228.6
2083357.8349.5–363.1205.8170.7–238.3
2084358.8349.3–363.4208.1175.9–235.6
2085359.7350.1–364211.1179.4–241
2086359347.7–363.8203.3175.4–237
2087358.8348.8–364.1205.3181.2–237.7
2088358347.4–363.7211.6174.7–240.6
2089357.4347.3–363.5208.9180.5–237.8
2090358.8346.1–363.9209.4173.4–243
2091358.3349.1–363.3214.3179.7–244.8
2092359.2347.5–364213.2176.8–242.3
2093359349.8–363.8212.5177.8–242.2
2094359.3350.1–363.1211.8179.7–241.5
2095358.1349.7–364216.9185–243.8
2096358.8348.3–365.1213.1182–247.6
2097358.9342.5–362.5210.8174.9–242.1
2098357.8348.1–363.6214.4181.5–242.2
2099359.2349.5–363.2213.5181.9–244.1
2100359.6348.3–363.8213.3181.5–246.3

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

科特迪瓦与马拉维对比

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