加纳与乌干达对比

加纳与乌干达:热带夜

2014 年热带夜:加纳为 356.8 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 232.1 夜,是乌干达的 2.86 倍。

每年夜数 · CMIP6

加纳与乌干达:热带夜2014 年热带夜:加纳为 356.8 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 232.1 夜,是乌干达的 2.86 倍。
加纳乌干达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,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,乌干达为 245.3 夜。

逐年数据

每年夜数 · CMIP6

年份加纳乌干达
2014356.8124.7
2013355.8124
2012356.8122.2
2011355.7125.7
2010355.9122.5
2009353.2114.8
2008353.1114.1
2007353.8111.2
2006353.9117.4
2005352.7113.8
2004352.4114.6
2003353.8114.4
2002353.2114.4
2001354.9117.1
2000352.2109
1999350.2105.5
1998350.6105
1997350.5106.1
1996349.1102.1
1995348.999.9
1994347.994.6
1993347.190.8
1992344.589.9
1991348.4102.1
1990352.1103.8
1989347.999.1
1988347.298.6
1987346.698.3
1986348.499.2
1985347.292.1
1984346.294.6
1983344.890.4
1982344.894.4
1981346.898.5
1980344.596.3
1979346.493.9
1978343.991
1977345.995.1
1976344.592
1975345.389.6
197434391.8
197334492.8
1972344.490
1971342.787.1
197034488.8
1969342.588
196834287.3
1967342.782.3
1966342.182.5
196534282.2
196434078.2
1963342.880.3
1962345.988.5
1961344.190.7
1960345.793.2
1959344.691.3
1958344.688.7
1957344.190.1
1956343.588.8
1955342.589
1954346.889.5
1953344.589
1952341.989.6
1951343.891.1
1950340.387.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份加纳乌干达
2015356341.5–361.7131.598.6–164.1
2016356.5341.4–361.512398.5–154.1
2017355.2341.3–361.6133.7108.6–162.7
2018355.8345.7–362.1134.2102.5–164
2019353.9343.6–362.3131.3104.8–166.2
2020356341.7–362.9140.7102.6–171.5
2021356.9345.4–362.7137.9112.9–175.4
2022358.2342–362.6140116.2–169.9
2023356.7344–361.7140.4114.2–184.8
2024358.6347.7–363.4151.1113.5–186.7
2025357.1347.2–361.9143108.5–176.4
2026357.2343.5–362.7144.6109.7–179.6
2027357.5344.3–362.4147.6116–175.4
2028359.5348.6–363.6151.6120.2–179.6
2029358.8349–363.1155.2127.3–178.6
2030359.6350.6–363.2150.4117.6–185.1
2031360.8351–364161.6132–187.2
2032359.7346.4–363.9159.1134.2–190.5
2033360.2349–364.1158.9123.4–200.6
2034359.4350.8–363.1161.5135.6–202.5
2035360.5350.8–364164.9126.3–193
2036360.9350.6–364.9158.5127.7–195.4
2037361350.5–364168.3138.2–207.3
2038361.4354.4–363.9173.8139.7–206.2
2039361.3352.3–364.5171.2130.1–205
2040361.5352.2–365.2170.4134.1–207.4
2041361.3351.7–364.3176.3144.6–208
2042360.6352.3–364.3175137.8–214.3
2043360.6351.8–364173.6132.8–207.6
2044361.6353.6–364.8176.1136.8–206.9
2045361.1353.2–364.4178.9138.3–217.7
2046361.9353.1–364.1191.9136.6–235
2047362.3350.3–364.5187.7156.6–225.3
2048362.1354.7–365.3189.3151.5–227.4
2049362.6354–364.4195.1154.9–233.6
2050362.2355.3–364.4191150.7–236.4
2051362.3355.7–364.6191.2154.4–228.2
2052362.1354.2–365192.6157.7–231.7
2053362.4354.1–364.5194.5149.7–233.5
2054362.9354.8–364.6199156.3–236.8
2055362.5355.1–364.5201.3151.7–240.7
2056363.3355.6–365.7198.9156.9–240.2
2057363.2355.9–364.8200165.5–244.7
2058363356.3–364.9208.8156.5–248.3
2059362.9356.2–364.8212.7171.1–254
2060362.9354.1–365.7212.6160.3–253.1
2061363.2354–364.9208.9162.4–258.1
2062363.1355–364.9206.4159.1–267.6
2063363.2355.5–364.9209.3168.5–246.3
2064363.3356.6–365.6210.6166.2–253.8
2065363.7357.8–364.9214.5167.8–261.1
2066362.7356.9–364.8211.9171.8–256.1
2067363.6354.1–364.9208.4168.3–269.8
2068364.1356.3–365.8216.4169.7–268.7
2069362.8356.3–364.9213170.3–268.1
2070363.3356.2–364.9216.4176.4–270.9
2071363.5355.3–364.9215.5174.6–273.5
2072364.1355.6–365.8227.3184.1–272.3
2073363.6355.1–364.8230.4189.3–278.5
2074363.4355.4–364.8220.7176.9–277
2075363.4357–364.9217.7167–274.2
2076363.8358.4–365.8228.1178.9–279
2077363.8357.8–365229.5189.6–280.5
2078363.9356.6–364.9225.6187.8–276.4
2079364.2358–365231.9168.8–277.7
2080364.3357.8–366232.8182.6–283.1
2081363.8357.1–365227.9187.6–279.3
2082363.5357.1–364.9233.1185.6–279.4
2083364.1358.3–365232.2175.7–297
2084364358.5–365.9237.2185.5–288.8
2085364.1358.3–365239.5192.4–291.7
2086364.1357.8–365236.2189.8–289.4
2087364.1357.9–365239.4188.9–294
2088364.2356.4–365.9236.8193.6–288.9
2089363.9357.6–365238.8193.8–293.7
2090364.2357.6–365237.7190.1–301.5
2091363.9357.6–364.9251188.7–300.1
2092364.4356.6–366243.4194.9–297.8
2093364.4358.2–365244.4199.2–296.8
2094364.1357.9–365245.6202.9–299.8
2095364358.2–365253.2202.4–306.1
2096363.9358–366241.4196.5–304
2097363.9356.3–364.9243.1194–296.6
2098363.7357.8–364.9242.9199–302.3
2099363.9358.6–365247.3194.4–306.1
2100364.2357.6–365245.3195.5–307.2

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

加纳与乌干达对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境