加纳与科特迪瓦对比

加纳与科特迪瓦:热带夜

2014 年热带夜:加纳为 356.8 夜,科特迪瓦为 341.6 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 15.2 夜,是科特迪瓦的 1.04 倍。

每年夜数 · CMIP6

加纳与科特迪瓦:热带夜2014 年热带夜:加纳为 356.8 夜,科特迪瓦为 341.6 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 15.2 夜,是科特迪瓦的 1.04 倍。
加纳科特迪瓦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,加纳的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年加纳为 364.2 夜,科特迪瓦为 359.6 夜。

逐年数据

每年夜数 · CMIP6

年份加纳科特迪瓦
2014356.8341.6
2013355.8339.6
2012356.8342.3
2011355.7340.1
2010355.9338.6
2009353.2337.3
2008353.1337.1
2007353.8336.7
2006353.9336.6
2005352.7337.6
2004352.4334.8
2003353.8337.3
2002353.2336.1
2001354.9339.5
2000352.2334.6
1999350.2331.3
1998350.6332.7
1997350.5331.8
1996349.1329.9
1995348.9330.5
1994347.9327.9
1993347.1327.2
1992344.5322
1991348.4331.7
1990352.1334
1989347.9328.9
1988347.2327.5
1987346.6327.9
1986348.4329.2
1985347.2324.9
1984346.2325.8
1983344.8325.4
1982344.8324
1981346.8327
1980344.5323.1
1979346.4327.1
1978343.9324.2
1977345.9325.5
1976344.5321.7
1975345.3322.8
1974343322
1973344323.8
1972344.4322.4
1971342.7322
1970344322.2
1969342.5320.9
1968342319.8
1967342.7317.1
1966342.1318.4
1965342320
1964340314.7
1963342.8317.4
1962345.9324.1
1961344.1323.1
1960345.7325.5
1959344.6322.1
1958344.6322.4
1957344.1321.2
1956343.5321.2
1955342.5320.1
1954346.8325.6
1953344.5322.9
1952341.9319.4
1951343.8323.9
1950340.3317.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份加纳科特迪瓦
2015356341.5–361.7339.1321.9–350.7
2016356.5341.4–361.5339.9324.6–349.1
2017355.2341.3–361.6340.5322.4–349.6
2018355.8345.7–362.1341.6327.4–351.6
2019353.9343.6–362.3338.5323.6–350.3
2020356341.7–362.9340.6324.2–352.9
2021356.9345.4–362.7340.8325.2–353.8
2022358.2342–362.6344327.2–353.4
2023356.7344–361.7341.2327.2–352.6
2024358.6347.7–363.4344.9331–353.9
2025357.1347.2–361.9342.4327.8–352.1
2026357.2343.5–362.7342.3326.6–353.3
2027357.5344.3–362.4343.9325.6–352.9
2028359.5348.6–363.6347.4333.6–355.5
2029358.8349–363.1347.2332.4–355.2
2030359.6350.6–363.2347.2332.1–353.8
2031360.8351–364349.3333.1–357.2
2032359.7346.4–363.9347.8331.5–356.9
2033360.2349–364.1348332.6–360.4
2034359.4350.8–363.1346.6331.7–355.8
2035360.5350.8–364348.9333.7–357.8
2036360.9350.6–364.9350.5332.7–359.1
2037361350.5–364349.8334.6–357.5
2038361.4354.4–363.9351.3338.9–358.2
2039361.3352.3–364.5350.6333.1–358.9
2040361.5352.2–365.2351.1336.2–359.6
2041361.3351.7–364.3350.8335.9–358
2042360.6352.3–364.3349.8337.3–358.6
2043360.6351.8–364348.4336.1–357.8
2044361.6353.6–364.8350.3337.5–359.2
2045361.1353.2–364.4351339.5–359.5
2046361.9353.1–364.1351.7337.6–358.6
2047362.3350.3–364.5352335.4–360.1
2048362.1354.7–365.3351.6339.9–360.3
2049362.6354–364.4353339.6–360.9
2050362.2355.3–364.4352340.6–359.3
2051362.3355.7–364.6353340.5–360.5
2052362.1354.2–365352339–359.8
2053362.4354.1–364.5352.7339–360.5
2054362.9354.8–364.6354.7339.5–360.9
2055362.5355.1–364.5353.4343.4–360.8
2056363.3355.6–365.7355.9339.6–362.8
2057363.2355.9–364.8356.3343–362
2058363356.3–364.9354.3344.5–361.3
2059362.9356.2–364.8355343.4–361.7
2060362.9354.1–365.7354.6343.3–362.1
2061363.2354–364.9354.6341.3–362.5
2062363.1355–364.9354.4340.8–361.3
2063363.2355.5–364.9355.4345.2–362.1
2064363.3356.6–365.6356.1344.6–362.9
2065363.7357.8–364.9355.5346.4–362.4
2066362.7356.9–364.8355.2344.5–361.2
2067363.6354.1–364.9355.3341.4–361.8
2068364.1356.3–365.8357.3346.3–363.6
2069362.8356.3–364.9355344.3–362.7
2070363.3356.2–364.9355.6344.2–362.3
2071363.5355.3–364.9356.8344.7–362.9
2072364.1355.6–365.8357.7346.2–363.1
2073363.6355.1–364.8356.6345.2–362.2
2074363.4355.4–364.8354.4342.1–362.7
2075363.4357–364.9356343.7–362.5
2076363.8358.4–365.8357.4348.5–363.3
2077363.8357.8–365358.1347.7–362.8
2078363.9356.6–364.9357.3346.8–363.2
2079364.2358–365357.4346.6–363.6
2080364.3357.8–366359.1349.4–364.7
2081363.8357.1–365358.8347.5–363.5
2082363.5357.1–364.9357346.9–363.4
2083364.1358.3–365357.8349.5–363.1
2084364358.5–365.9358.8349.3–363.4
2085364.1358.3–365359.7350.1–364
2086364.1357.8–365359347.7–363.8
2087364.1357.9–365358.8348.8–364.1
2088364.2356.4–365.9358347.4–363.7
2089363.9357.6–365357.4347.3–363.5
2090364.2357.6–365358.8346.1–363.9
2091363.9357.6–364.9358.3349.1–363.3
2092364.4356.6–366359.2347.5–364
2093364.4358.2–365359349.8–363.8
2094364.1357.9–365359.3350.1–363.1
2095364358.2–365358.1349.7–364
2096363.9358–366358.8348.3–365.1
2097363.9356.3–364.9358.9342.5–362.5
2098363.7357.8–364.9357.8348.1–363.6
2099363.9358.6–365359.2349.5–363.2
2100364.2357.6–365359.6348.3–363.8

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

加纳与科特迪瓦对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境