加纳与赞比亚对比

加纳与赞比亚:热带夜

2014 年热带夜:加纳为 356.8 夜,赞比亚为 62.9 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 293.9 夜,是赞比亚的 5.67 倍。

每年夜数 · CMIP6

加纳与赞比亚:热带夜2014 年热带夜:加纳为 356.8 夜,赞比亚为 62.9 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 293.9 夜,是赞比亚的 5.67 倍。
加纳赞比亚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,赞比亚为 171.5 夜。

逐年数据

每年夜数 · CMIP6

年份加纳赞比亚
2014356.862.9
2013355.864.7
2012356.863.9
2011355.761.5
2010355.959.3
2009353.257.5
2008353.156
2007353.855.1
2006353.955.9
2005352.754.5
2004352.458.4
2003353.856.6
2002353.255
2001354.959
2000352.252.9
1999350.248
1998350.651.3
1997350.547.8
1996349.143.5
1995348.943.9
1994347.941.6
1993347.135.3
1992344.536
1991348.442.7
1990352.146.4
1989347.945
1988347.243.6
1987346.644
1986348.443.8
1985347.238.7
1984346.238.7
1983344.838.8
1982344.840
1981346.841.7
1980344.539.7
1979346.440.7
1978343.938.9
1977345.940
1976344.535.7
1975345.337.1
197434337.4
197334438.8
1972344.435
1971342.736
197034438.1
1969342.537.1
196834234.1
1967342.732.2
1966342.133.1
196534234.9
196434031.3
1963342.830.5
1962345.938.8
1961344.137
1960345.739.3
1959344.638.3
1958344.639
1957344.137.8
1956343.534.6
1955342.538.2
1954346.838
1953344.535.4
1952341.937.6
1951343.836.9
1950340.336
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份加纳赞比亚
2015356341.5–361.772.150.1–93.9
2016356.5341.4–361.566.845.9–85.7
2017355.2341.3–361.671.449.7–92.5
2018355.8345.7–362.173.852.7–94.8
2019353.9343.6–362.373.354–97.6
2020356341.7–362.977.556.9–100.4
2021356.9345.4–362.776.755.7–104.5
2022358.2342–362.684.861.6–109.7
2023356.7344–361.784.763–108
2024358.6347.7–363.485.158.2–113.9
2025357.1347.2–361.984.957.1–116
2026357.2343.5–362.783.658.4–119.4
2027357.5344.3–362.489.562.5–115.7
2028359.5348.6–363.689.965–118.6
2029358.8349–363.19669.8–122.8
2030359.6350.6–363.29166.7–118.1
2031360.8351–36497.668.2–121.3
2032359.7346.4–363.994.970.3–122.2
2033360.2349–364.198.270.1–123.6
2034359.4350.8–363.197.370.4–135.2
2035360.5350.8–364104.168.4–137.8
2036360.9350.6–364.999.568.7–131.5
2037361350.5–364107.177.4–139.8
2038361.4354.4–363.9110.383.2–138.8
2039361.3352.3–364.5101.874.3–139.1
2040361.5352.2–365.2100.872.5–145.3
2041361.3351.7–364.3113.978.7–147.6
2042360.6352.3–364.3111.379.1–155.1
2043360.6351.8–364106.678.3–150.6
2044361.6353.6–364.8110.574.3–145.5
2045361.1353.2–364.4109.882.2–148.2
2046361.9353.1–364.1119.485.9–160
2047362.3350.3–364.5123.191.1–159.4
2048362.1354.7–365.3124.590.6–160.2
2049362.6354–364.4124.586.1–167.1
2050362.2355.3–364.4130.592–166
2051362.3355.7–364.6128.498.1–169.8
2052362.1354.2–365130.798.6–170.4
2053362.4354.1–364.5128.488–168.8
2054362.9354.8–364.6132.193–169.6
2055362.5355.1–364.5132.1100.1–176.1
2056363.3355.6–365.7132.492.7–179.6
2057363.2355.9–364.8133.298.5–178.5
2058363356.3–364.9137.299.2–179.7
2059362.9356.2–364.8139.8105.8–189.5
2060362.9354.1–365.7145.4102.9–191
2061363.2354–364.9136.692.8–196.9
2062363.1355–364.9143.9101–194.7
2063363.2355.5–364.9144.5101.7–187.8
2064363.3356.6–365.6147.998.4–180.9
2065363.7357.8–364.9148.6104.3–199.8
2066362.7356.9–364.8152.1109.4–193.6
2067363.6354.1–364.9140.6103.2–195.7
2068364.1356.3–365.8150.8105.7–200.3
2069362.8356.3–364.9150.5106.3–197
2070363.3356.2–364.9145.8104.7–202.4
2071363.5355.3–364.9153.1112.7–212
2072364.1355.6–365.8157.2120–195.7
2073363.6355.1–364.8161.5115.2–210.9
2074363.4355.4–364.8149.2115–198.7
2075363.4357–364.9148.2111.5–202.2
2076363.8358.4–365.8150.4112–201.9
2077363.8357.8–365156.5120.3–208.3
2078363.9356.6–364.9157.2122.2–209.5
2079364.2358–365156.8118.1–207.3
2080364.3357.8–366159.8116–211.9
2081363.8357.1–365160.2117.1–208.6
2082363.5357.1–364.9159.6119.6–200.6
2083364.1358.3–365159.5110.7–219.9
2084364358.5–365.9166124.3–210.3
2085364.1358.3–365172.9126.8–221.1
2086364.1357.8–365161.9120.6–224.1
2087364.1357.9–365158.3129.2–219.6
2088364.2356.4–365.9168.4123.9–218.5
2089363.9357.6–365168.5129.9–217.9
2090364.2357.6–365165.7124–223.8
2091363.9357.6–364.9177.4129.5–227.2
2092364.4356.6–366170.6127.8–221.5
2093364.4358.2–365173.6123.6–223.3
2094364.1357.9–365171.4130.3–220.7
2095364358.2–365179131.6–228.6
2096363.9358–366170.8124.8–233.3
2097363.9356.3–364.9167.2122.2–224.3
2098363.7357.8–364.9172.5131.9–226.9
2099363.9358.6–365171.7126.5–229.1
2100364.2357.6–365171.5124.3–228

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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