加纳与马里对比

加纳与马里:热带夜

2014 年热带夜:加纳为 356.8 夜,马里为 250.2 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 106.6 夜,是马里的 1.43 倍。

每年夜数 · CMIP6

加纳与马里:热带夜2014 年热带夜:加纳为 356.8 夜,马里为 250.2 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 106.6 夜,是马里的 1.43 倍。
加纳马里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,马里为 283.6 夜。

逐年数据

每年夜数 · CMIP6

年份加纳马里
2014356.8250.2
2013355.8247.3
2012356.8253.1
2011355.7251.9
2010355.9250.4
2009353.2248
2008353.1247.8
2007353.8248.1
2006353.9245.5
2005352.7244.3
2004352.4243.9
2003353.8247.1
2002353.2245.8
2001354.9245.6
2000352.2243.2
1999350.2242.4
1998350.6240.6
1997350.5240.7
1996349.1236.4
1995348.9238
1994347.9236.2
1993347.1235.1
1992344.5232
1991348.4238.7
1990352.1241
1989347.9236.3
1988347.2234.7
1987346.6236.1
1986348.4237.1
1985347.2235.3
1984346.2233
1983344.8231.2
1982344.8234.9
1981346.8233.9
1980344.5231.5
1979346.4233.8
1978343.9234.8
1977345.9233.6
1976344.5231.7
1975345.3232.4
1974343229.7
1973344230.3
1972344.4230.7
1971342.7229.5
1970344229.9
1969342.5227.3
1968342230.5
1967342.7229
1966342.1228.1
1965342230.2
1964340228.9
1963342.8228.2
1962345.9231.7
1961344.1231.6
1960345.7235.1
1959344.6231.8
1958344.6231.8
1957344.1233.3
1956343.5230.7
1955342.5230.6
1954346.8232
1953344.5228.3
1952341.9229.2
1951343.8231.4
1950340.3228.6
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份加纳马里
2015356341.5–361.7247.9231.5–264.7
2016356.5341.4–361.5248231.3–262.6
2017355.2341.3–361.6252.7233.6–268.2
2018355.8345.7–362.1254.2236.4–269
2019353.9343.6–362.3251.6233.5–272.3
2020356341.7–362.9251.3231.2–270.7
2021356.9345.4–362.7254.8238.5–270
2022358.2342–362.6257237.8–275.3
2023356.7344–361.7254.2239.6–269.2
2024358.6347.7–363.4259.3242.3–276.8
2025357.1347.2–361.9256.2239.2–272.3
2026357.2343.5–362.7256.8237.2–277.8
2027357.5344.3–362.4258.5240.3–273.1
2028359.5348.6–363.6259.7243.6–273.9
2029358.8349–363.1260.8240.3–275.3
2030359.6350.6–363.2258.1237.5–272.6
2031360.8351–364262.2243.4–280.6
2032359.7346.4–363.9260.5242.1–278.2
2033360.2349–364.1262.1241.7–280.3
2034359.4350.8–363.1260.7242–275.3
2035360.5350.8–364261.5244.8–283.6
2036360.9350.6–364.9262.5244.6–281.1
2037361350.5–364264.5245.2–279.6
2038361.4354.4–363.9266246.7–283.2
2039361.3352.3–364.5262.3245–281.6
2040361.5352.2–365.2263.6247.5–279.6
2041361.3351.7–364.3264.6250.8–283.1
2042360.6352.3–364.3265.7245.9–283.5
2043360.6351.8–364264.8246.9–278.8
2044361.6353.6–364.8269.3247.4–284.7
2045361.1353.2–364.4265.6248.9–283.7
2046361.9353.1–364.1269.8247.5–286.4
2047362.3350.3–364.5271.9251.2–290.3
2048362.1354.7–365.3270.4254.4–288.2
2049362.6354–364.4272252.1–288.2
2050362.2355.3–364.4269.5250.6–286.4
2051362.3355.7–364.6268.8251.7–286.9
2052362.1354.2–365270.1252.7–292.1
2053362.4354.1–364.5269.3249.2–288.8
2054362.9354.8–364.6270.3251.7–290.6
2055362.5355.1–364.5270.9252.7–288.1
2056363.3355.6–365.7273248.6–291.4
2057363.2355.9–364.8275.5255.2–295
2058363356.3–364.9271252.7–293.2
2059362.9356.2–364.8274.5259.3–299.6
2060362.9354.1–365.7273.5258–293.7
2061363.2354–364.9275.4257–298
2062363.1355–364.9270.8251.7–291.8
2063363.2355.5–364.9275.9256.6–292.2
2064363.3356.6–365.6276.4256.6–298.4
2065363.7357.8–364.9275.3256–295.1
2066362.7356.9–364.8276.9260–296.5
2067363.6354.1–364.9272.6255.4–293.3
2068364.1356.3–365.8277.5258.1–296.5
2069362.8356.3–364.9276.1257.7–293.3
2070363.3356.2–364.9277.2256.6–296.6
2071363.5355.3–364.9277.2258.4–295.6
2072364.1355.6–365.8281.9263.8–298.9
2073363.6355.1–364.8276.8257.9–296.8
2074363.4355.4–364.8277.7258.7–295.9
2075363.4357–364.9278.5260.1–298.5
2076363.8358.4–365.8278.1261.1–294.2
2077363.8357.8–365283.8263.1–302.3
2078363.9356.6–364.9283.8263.5–299.4
2079364.2358–365278.9259.2–300.6
2080364.3357.8–366281.2262.1–299.4
2081363.8357.1–365279.1259.3–301.8
2082363.5357.1–364.9280.2260.2–298.4
2083364.1358.3–365280.8260.8–302.3
2084364358.5–365.9280.4263.8–301
2085364.1358.3–365284.6259.2–303
2086364.1357.8–365281.9262.8–302.4
2087364.1357.9–365279.7258.8–302.8
2088364.2356.4–365.9282.3260.7–303.3
2089363.9357.6–365283.4262.4–300.5
2090364.2357.6–365283.9259.8–301.9
2091363.9357.6–364.9283.1260.4–304.8
2092364.4356.6–366281.6259.7–303.1
2093364.4358.2–365284.8265.8–305.4
2094364.1357.9–365284.6262.8–305.6
2095364358.2–365283.6262–304.6
2096363.9358–366284.9263.3–306.3
2097363.9356.3–364.9280261–300.5
2098363.7357.8–364.9282.5262–302.1
2099363.9358.6–365285.3266.2–305.4
2100364.2357.6–365283.6262.8–304.1

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

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