加纳与津巴布韦对比

加纳与津巴布韦:热带夜

2014 年热带夜:加纳为 356.8 夜,津巴布韦为 76.4 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 280.4 夜,是津巴布韦的 4.67 倍。

每年夜数 · CMIP6

加纳与津巴布韦:热带夜2014 年热带夜:加纳为 356.8 夜,津巴布韦为 76.4 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 280.4 夜,是津巴布韦的 4.67 倍。
加纳津巴布韦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,津巴布韦为 148.3 夜。

逐年数据

每年夜数 · CMIP6

年份加纳津巴布韦
2014356.876.4
2013355.878.4
2012356.875.9
2011355.773.3
2010355.971.5
2009353.269.6
2008353.169.8
2007353.869.3
2006353.970.3
2005352.769.5
2004352.471.8
2003353.872.9
2002353.271.3
2001354.971.3
2000352.267.4
1999350.262.3
1998350.666.3
1997350.562
1996349.157.7
1995348.958.9
1994347.956.8
1993347.150.1
1992344.552.1
1991348.458.7
1990352.161.5
1989347.960.4
1988347.261.6
1987346.657.3
1986348.458.6
1985347.254.1
1984346.254.6
1983344.853.3
1982344.853.7
1981346.857
1980344.557.3
1979346.456.2
1978343.953.1
1977345.955.2
1976344.551.2
1975345.353.6
197434354.2
197334453.9
1972344.453.2
1971342.751.1
197034453.1
1969342.553.3
196834248.7
1967342.748.7
1966342.148.8
196534248.6
196434044.6
1963342.847.4
1962345.955.8
1961344.151.6
1960345.755.6
1959344.653.6
1958344.655.3
1957344.153.2
1956343.548.6
1955342.554.4
1954346.853
1953344.551.8
1952341.952.7
1951343.852.3
1950340.351.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份加纳津巴布韦
2015356341.5–361.779.463.5–98.5
2016356.5341.4–361.578.657.9–101.7
2017355.2341.3–361.681.263.3–98.5
2018355.8345.7–362.182.160.5–104.1
2019353.9343.6–362.382.863.9–102.3
2020356341.7–362.984.362.9–106.9
2021356.9345.4–362.782.564.7–102.7
2022358.2342–362.689.870.1–108.8
2023356.7344–361.790.672.5–110.7
2024358.6347.7–363.493.769.8–113.4
2025357.1347.2–361.98865.1–114.6
2026357.2343.5–362.789.767.8–113.9
2027357.5344.3–362.495.668.4–119.6
2028359.5348.6–363.693.371.4–115.7
2029358.8349–363.1100.277.2–120
2030359.6350.6–363.29671.6–115.3
2031360.8351–3649874.9–119.8
2032359.7346.4–363.998.574.7–118.5
2033360.2349–364.198.974–120.6
2034359.4350.8–363.1100.277.3–128.1
2035360.5350.8–364103.975.7–130.6
2036360.9350.6–364.9100.878–123
2037361350.5–36410882.1–131.1
2038361.4354.4–363.9110.986.5–135
2039361.3352.3–364.5102.480.4–122.3
2040361.5352.2–365.2101.379.5–133.5
2041361.3351.7–364.3108.483.7–134.2
2042360.6352.3–364.3108.883.1–139.9
2043360.6351.8–364107.985.7–137.3
2044361.6353.6–364.8111.287–134.8
2045361.1353.2–364.4106.186.2–130.7
2046361.9353.1–364.1112.386.4–139.1
2047362.3350.3–364.5119.692.1–145.9
2048362.1354.7–365.3116.888.4–143.9
2049362.6354–364.4119.290.4–146.2
2050362.2355.3–364.4122.794.1–148.6
2051362.3355.7–364.6122.4100.9–147.7
2052362.1354.2–365124.2101.3–152.8
2053362.4354.1–364.5121.689–146.9
2054362.9354.8–364.6123.993.9–150.8
2055362.5355.1–364.5126.597.9–153.7
2056363.3355.6–365.7126.198–154.7
2057363.2355.9–364.8122.797.6–150.7
2058363356.3–364.9125.3103–154.1
2059362.9356.2–364.8132.2107.4–157.4
2060362.9354.1–365.7132.599.9–159
2061363.2354–364.9126.694.2–161.1
2062363.1355–364.9126.399.6–157.3
2063363.2355.5–364.9127.7101–159.7
2064363.3356.6–365.6130.498–151.3
2065363.7357.8–364.9132.4107.6–165.6
2066362.7356.9–364.8134.5106.8–159.8
2067363.6354.1–364.9125.598.9–160.5
2068364.1356.3–365.8134102.3–166.1
2069362.8356.3–364.9136.9106.4–164.2
2070363.3356.2–364.9133.199.8–166.3
2071363.5355.3–364.9135.2108.4–173.7
2072364.1355.6–365.8140.4110.6–166.8
2073363.6355.1–364.8140.9109.7–173.6
2074363.4355.4–364.8135.5112–170.6
2075363.4357–364.9136108.5–166.6
2076363.8358.4–365.8133.7105.9–163.7
2077363.8357.8–365140.2114.3–170.6
2078363.9356.6–364.9137.5111.3–172.3
2079364.2358–365136.9110.2–172.6
2080364.3357.8–366145115.8–173.2
2081363.8357.1–365147.2106.5–174.1
2082363.5357.1–364.9141.4111.4–169.9
2083364.1358.3–365143.6106.5–179.2
2084364358.5–365.9149.4117.3–176.9
2085364.1358.3–365154.3114.9–182.7
2086364.1357.8–365141.7115.3–176.1
2087364.1357.9–365142.7116.8–177.3
2088364.2356.4–365.9150.2118.3–178.9
2089363.9357.6–365148.9121.3–176.4
2090364.2357.6–365145.7113.7–179.4
2091363.9357.6–364.9149.7116.5–181.8
2092364.4356.6–366149.4119.7–181.7
2093364.4358.2–365152.5117.1–184.1
2094364.1357.9–365150.9117.3–182.2
2095364358.2–365155118.3–181.5
2096363.9358–366152.4113.1–189.2
2097363.9356.3–364.9144.1113.8–183.3
2098363.7357.8–364.9152.4119.2–187
2099363.9358.6–365152.9117.3–185
2100364.2357.6–365148.3120.1–184.6

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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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