加纳与莫桑比克对比

加纳与莫桑比克:热带夜

2014 年热带夜:加纳为 356.8 夜,莫桑比克为 186.3 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 170.5 夜,是莫桑比克的 1.92 倍。

每年夜数 · CMIP6

加纳与莫桑比克:热带夜2014 年热带夜:加纳为 356.8 夜,莫桑比克为 186.3 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 170.5 夜,是莫桑比克的 1.92 倍。
加纳莫桑比克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,莫桑比克为 254.4 夜。

逐年数据

每年夜数 · CMIP6

年份加纳莫桑比克
2014356.8186.3
2013355.8186.9
2012356.8185.2
2011355.7184.1
2010355.9182.2
2009353.2178.2
2008353.1176.8
2007353.8178.9
2006353.9177.4
2005352.7176.9
2004352.4181
2003353.8180
2002353.2177.1
2001354.9180.6
2000352.2173.6
1999350.2171.5
1998350.6174.1
1997350.5169.9
1996349.1164.7
1995348.9165.8
1994347.9163.1
1993347.1155.5
1992344.5156
1991348.4167.5
1990352.1170.2
1989347.9164
1988347.2166.4
1987346.6166
1986348.4166.6
1985347.2159.3
1984346.2161.1
1983344.8159.7
1982344.8160.6
1981346.8164.5
1980344.5161.9
1979346.4162.2
1978343.9160.2
1977345.9160.2
1976344.5157.4
1975345.3157.7
1974343159.1
1973344160.4
1972344.4157.6
1971342.7155.6
1970344159.7
1969342.5157.8
1968342153
1967342.7152.8
1966342.1152.5
1965342153.1
1964340145.9
1963342.8146.8
1962345.9158.5
1961344.1158.8
1960345.7160.6
1959344.6159.7
1958344.6159.5
1957344.1156.9
1956343.5153.4
1955342.5159.6
1954346.8155.4
1953344.5156.8
1952341.9156.6
1951343.8157.4
1950340.3156.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份加纳莫桑比克
2015356341.5–361.7191170.1–212.1
2016356.5341.4–361.5187.6168.6–208.2
2017355.2341.3–361.6190.1169.4–210.1
2018355.8345.7–362.1189.8163.6–212.8
2019353.9343.6–362.3189.7171.9–208.8
2020356341.7–362.9191.3169–213.8
2021356.9345.4–362.7193.1172.7–212.9
2022358.2342–362.6199.9176.3–216.7
2023356.7344–361.7196.8176.4–217.3
2024358.6347.7–363.4199.7173.4–222.8
2025357.1347.2–361.9195.7173–219.1
2026357.2343.5–362.7197.7172.6–219.3
2027357.5344.3–362.4199.9177.9–221.8
2028359.5348.6–363.6202.5181.1–221.1
2029358.8349–363.1207.6187.3–227.3
2030359.6350.6–363.2203.6183.2–223.8
2031360.8351–364207.3188.7–225
2032359.7346.4–363.9207.4186.7–230.9
2033360.2349–364.1206.1180.7–226.1
2034359.4350.8–363.1206.3181.3–227.7
2035360.5350.8–364208.2184.1–233.6
2036360.9350.6–364.9208.3183.8–226.4
2037361350.5–364213.7191.8–234.3
2038361.4354.4–363.9218.4195.7–240.9
2039361.3352.3–364.5212.6192.3–233.5
2040361.5352.2–365.2212.7189–233.9
2041361.3351.7–364.3213.1187.1–238
2042360.6352.3–364.3214.9190.4–241.3
2043360.6351.8–364216196.2–238.9
2044361.6353.6–364.8220.2196.1–242.1
2045361.1353.2–364.4217.2198.6–237.6
2046361.9353.1–364.1224.4200.5–247.6
2047362.3350.3–364.5224.5201.3–246.3
2048362.1354.7–365.3225.7205–247.5
2049362.6354–364.4226.4199.2–247.8
2050362.2355.3–364.4225.5198.1–246.6
2051362.3355.7–364.6227.5206.2–248.7
2052362.1354.2–365230.5208.6–255.2
2053362.4354.1–364.5226.3200.4–250
2054362.9354.8–364.6227.8203.9–256.1
2055362.5355.1–364.5231.5208.3–254.4
2056363.3355.6–365.7227.8204.6–253.1
2057363.2355.9–364.8227.6205.7–252.2
2058363356.3–364.9230.2208.3–251.8
2059362.9356.2–364.8235.5212.5–261.4
2060362.9354.1–365.7237.5208.9–257.9
2061363.2354–364.9232.1204.8–256.1
2062363.1355–364.9233.2208.6–257.9
2063363.2355.5–364.9233.3207.3–261.6
2064363.3356.6–365.6234.6209.3–255.8
2065363.7357.8–364.9236208.7–261
2066362.7356.9–364.8239.4213.6–261.8
2067363.6354.1–364.9235.5205.9–259.4
2068364.1356.3–365.8237.7211–264.3
2069362.8356.3–364.9241.1212.2–263.4
2070363.3356.2–364.9240.7212.1–266
2071363.5355.3–364.9244.1214.3–272.8
2072364.1355.6–365.8244.7215.8–267.8
2073363.6355.1–364.8246214.2–267.6
2074363.4355.4–364.8242.2219.9–271.1
2075363.4357–364.9244.4215.6–267.9
2076363.8358.4–365.8240.8211–264.8
2077363.8357.8–365241.4214.7–272.4
2078363.9356.6–364.9245.4220.8–271.1
2079364.2358–365244.1214.3–276.4
2080364.3357.8–366246.1221–273.6
2081363.8357.1–365245.6214.5–268.1
2082363.5357.1–364.9246.9220.6–268.3
2083364.1358.3–365247.3217.4–276.4
2084364358.5–365.9248.5223.3–270.9
2085364.1358.3–365253.4221.5–277.6
2086364.1357.8–365242.9216.4–272.3
2087364.1357.9–365247.4222.8–271.3
2088364.2356.4–365.9253221.1–274.9
2089363.9357.6–365251.6221.9–277.3
2090364.2357.6–365249.9218.6–277.9
2091363.9357.6–364.9253.2221.4–280.8
2092364.4356.6–366252.7221.5–279.5
2093364.4358.2–365256221.7–279.4
2094364.1357.9–365251.8221–280.3
2095364358.2–365255.6225.8–278.1
2096363.9358–366254.7225.8–280.4
2097363.9356.3–364.9253.2221.8–281.6
2098363.7357.8–364.9256.1225.2–279.6
2099363.9358.6–365254.9223.4–278.7
2100364.2357.6–365254.4226.1–279.1

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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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