科特迪瓦与马达加斯加对比

科特迪瓦与马达加斯加:热带夜

2014 年热带夜:科特迪瓦为 341.6 夜,马达加斯加为 138.3 夜(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 203.3 夜,是马达加斯加的 2.47 倍。

每年夜数 · CMIP6

科特迪瓦与马达加斯加:热带夜2014 年热带夜:科特迪瓦为 341.6 夜,马达加斯加为 138.3 夜(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 203.3 夜,是马达加斯加的 2.47 倍。
科特迪瓦马达加斯加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,马达加斯加为 198.5 夜。

逐年数据

每年夜数 · CMIP6

年份科特迪瓦马达加斯加
2014341.6138.3
2013339.6138
2012342.3138.3
2011340.1136.8
2010338.6134.2
2009337.3133.5
2008337.1132.3
2007336.7133.1
2006336.6131.6
2005337.6130.3
2004334.8133.5
2003337.3131
2002336.1131.8
2001339.5131.7
2000334.6127.4
1999331.3128.4
1998332.7128.6
1997331.8125.3
1996329.9121.8
1995330.5123.3
1994327.9121.8
1993327.2116
1992322116.6
1991331.7124.9
1990334126.2
1989328.9124
1988327.5123.8
1987327.9122.8
1986329.2123.8
1985324.9120
1984325.8118.6
1983325.4116.5
1982324121.8
1981327122.1
1980323.1120.3
1979327.1120.7
1978324.2119.3
1977325.5119
1976321.7117.4
1975322.8116.5
1974322119.5
1973323.8119
1972322.4117
1971322116.3
1970322.2117
1969320.9116.3
1968319.8113.1
1967317.1113
1966318.4114.1
1965320112.2
1964314.7109.6
1963317.4109.7
1962324.1115.3
1961323.1118.5
1960325.5118.2
1959322.1119
1958322.4118.7
1957321.2117.6
1956321.2115.5
1955320.1116.6
1954325.6115.9
1953322.9116.4
1952319.4117.4
1951323.9116
1950317.8116.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份科特迪瓦马达加斯加
2015339.1321.9–350.7142.8126.7–159.3
2016339.9324.6–349.1137.8122.2–156
2017340.5322.4–349.6143.1125.6–159.4
2018341.6327.4–351.6143.7125.9–160.3
2019338.5323.6–350.3143.4124.4–162.3
2020340.6324.2–352.9143.4125.2–159
2021340.8325.2–353.8145.4128.8–160.4
2022344327.2–353.4150.4133.4–165.2
2023341.2327.2–352.6149.7132.1–166
2024344.9331–353.9150.7131.4–167.9
2025342.4327.8–352.1149128.8–169.1
2026342.3326.6–353.3150.1127.4–169.9
2027343.9325.6–352.9151.8131.9–170.8
2028347.4333.6–355.5154.9137.7–173.1
2029347.2332.4–355.2155.7135.2–173.8
2030347.2332.1–353.8154.8136.4–171.3
2031349.3333.1–357.2158.1141.3–174.8
2032347.8331.5–356.9157.9136.2–178.4
2033348332.6–360.4158.9136.7–177.8
2034346.6331.7–355.8158.6140.6–179.6
2035348.9333.7–357.8161.1140.2–181.6
2036350.5332.7–359.1159.5139.4–177.1
2037349.8334.6–357.5165.8144.7–182.8
2038351.3338.9–358.2166.5149.3–183.9
2039350.6333.1–358.9164.1145.1–183.9
2040351.1336.2–359.6162.8144.5–184.8
2041350.8335.9–358165.8143.5–183.9
2042349.8337.3–358.6165.1144.3–188.4
2043348.4336.1–357.8165.6148.5–184.7
2044350.3337.5–359.2167.3145.8–187
2045351339.5–359.5166.9147.1–187.1
2046351.7337.6–358.6171.4149.6–193
2047352335.4–360.1171.7148.8–193.4
2048351.6339.9–360.3173.7151.7–193.6
2049353339.6–360.9172.2151.4–192.9
2050352340.6–359.3174.4150.5–193.6
2051353340.5–360.5175154.3–195.1
2052352339–359.8176153.8–196.7
2053352.7339–360.5176.6151.1–197.8
2054354.7339.5–360.9175.5152.8–199.2
2055353.4343.4–360.8179.2157.3–196.8
2056355.9339.6–362.8178.8156.5–199.7
2057356.3343–362177.7155.5–201
2058354.3344.5–361.3180.5158.9–202.4
2059355343.4–361.7181.8158.3–202.5
2060354.6343.3–362.1185.1159.5–207.8
2061354.6341.3–362.5180.6157.6–203.8
2062354.4340.8–361.3180.6157.1–205.6
2063355.4345.2–362.1185156.8–210.7
2064356.1344.6–362.9184.7159.1–205.7
2065355.5346.4–362.4183.8157.1–208.5
2066355.2344.5–361.2187.3159.6–211
2067355.3341.4–361.8184.9155.9–208.9
2068357.3346.3–363.6187.5161.7–211.1
2069355344.3–362.7187.5162–211.3
2070355.6344.2–362.3187.8160.4–213.6
2071356.8344.7–362.9190.7162.7–216.6
2072357.7346.2–363.1191.8168.2–215.8
2073356.6345.2–362.2191.4168.7–214.5
2074354.4342.1–362.7189.4162.6–217.7
2075356343.7–362.5189.3163.8–214.2
2076357.4348.5–363.3191.1164.3–214
2077358.1347.7–362.8191.9168.8–217.1
2078357.3346.8–363.2190.1166.5–219.3
2079357.4346.6–363.6190.1163.7–216.2
2080359.1349.4–364.7194.8167.7–219.4
2081358.8347.5–363.5191.7166.7–218.1
2082357346.9–363.4193.8169.2–216.7
2083357.8349.5–363.1194.6166.1–218.1
2084358.8349.3–363.4197.9170–219.7
2085359.7350.1–364197.8172.3–223.7
2086359347.7–363.8192.9169.6–220
2087358.8348.8–364.1195.2170.4–220.1
2088358347.4–363.7198.1165.1–225.5
2089357.4347.3–363.5196.3167.9–227.6
2090358.8346.1–363.9197.5172.4–228.1
2091358.3349.1–363.3199.2172.7–226.7
2092359.2347.5–364202.4170.7–226.6
2093359349.8–363.8202.1172.3–230.5
2094359.3350.1–363.1198.3168.6–224
2095358.1349.7–364200.7171.7–225.1
2096358.8348.3–365.1199.8173.6–226.3
2097358.9342.5–362.5201.2170–227.6
2098357.8348.1–363.6201.1170.7–227.2
2099359.2349.5–363.2198.3173.8–225.8
2100359.6348.3–363.8198.5173.3–227.7

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

科特迪瓦与马达加斯加对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境