加纳与坦桑尼亚对比

加纳与坦桑尼亚:热带夜

2014 年热带夜:加纳为 356.8 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 250.5 夜,是坦桑尼亚的 3.36 倍。

每年夜数 · CMIP6

加纳与坦桑尼亚:热带夜2014 年热带夜:加纳为 356.8 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 250.5 夜,是坦桑尼亚的 3.36 倍。
加纳坦桑尼亚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,坦桑尼亚为 208 夜。

逐年数据

每年夜数 · CMIP6

年份加纳坦桑尼亚
2014356.8106.3
2013355.8105.5
2012356.8108.4
2011355.7109
2010355.9103.9
2009353.2101.1
2008353.1100.3
2007353.899.5
2006353.9100.4
2005352.798.7
2004352.4100.4
2003353.899.6
2002353.298.4
2001354.9101.5
2000352.294.9
1999350.294.2
1998350.696.8
1997350.593.5
1996349.189.6
1995348.988.5
1994347.985.4
1993347.181.2
1992344.580.1
1991348.489.6
1990352.191.1
1989347.989.1
1988347.287.6
1987346.688.5
1986348.489.4
1985347.283
1984346.283.1
1983344.882.1
1982344.884.8
1981346.888
1980344.585
1979346.485.5
1978343.982.9
1977345.984.1
1976344.581
1975345.380.8
197434382.2
197334483.6
1972344.481.4
1971342.780.7
197034481.8
1969342.579.5
196834279.1
1967342.777.5
1966342.178.1
196534278
196434073.8
1963342.873.1
1962345.981.1
1961344.182.6
1960345.783.9
1959344.681.4
1958344.682.1
1957344.180.9
1956343.580
1955342.581.6
1954346.881.4
1953344.580.6
1952341.981.4
1951343.882.1
1950340.380.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份加纳坦桑尼亚
2015356341.5–361.7114.895.2–137.4
2016356.5341.4–361.5108.391.6–125.6
2017355.2341.3–361.6114.893.6–137.8
2018355.8345.7–362.1116.497.4–137.1
2019353.9343.6–362.3113.495.2–133.2
2020356341.7–362.9119.396.2–143.5
2021356.9345.4–362.7119.5100.9–147.1
2022358.2342–362.6124.4105.3–147.4
2023356.7344–361.7122.1102.1–147.8
2024358.6347.7–363.4126.2100–150.1
2025357.1347.2–361.9124.6100.9–154
2026357.2343.5–362.7126.999.1–155.6
2027357.5344.3–362.4128102.9–147.7
2028359.5348.6–363.6129.9106.4–152.1
2029358.8349–363.1134.1111–156.5
2030359.6350.6–363.2129.4106.4–151.1
2031360.8351–364136.4115.9–158.4
2032359.7346.4–363.9135.1114–166.8
2033360.2349–364.1135.2110.9–161.9
2034359.4350.8–363.1134.7112.5–166.3
2035360.5350.8–364140.2114.6–165
2036360.9350.6–364.9137.8113.3–165.5
2037361350.5–364142.9121.5–168.9
2038361.4354.4–363.9147.9124.3–169.3
2039361.3352.3–364.5144.3117.6–171.3
2040361.5352.2–365.2140.5117–178
2041361.3351.7–364.3149.1121.7–175.6
2042360.6352.3–364.3146.3120.5–185.3
2043360.6351.8–364144.6117–173
2044361.6353.6–364.8147.7121.2–175.8
2045361.1353.2–364.4150.1125.2–183.4
2046361.9353.1–364.1161.5128.6–192.2
2047362.3350.3–364.5160.2129.7–194.4
2048362.1354.7–365.3158.8132.7–193.1
2049362.6354–364.4157.6131.1–196
2050362.2355.3–364.4159.7127.8–192
2051362.3355.7–364.6163.2135.5–197.8
2052362.1354.2–365161.9136.2–199.1
2053362.4354.1–364.5160.6127.5–197.7
2054362.9354.8–364.6163.2131.5–200.2
2055362.5355.1–364.5167.4137–208.3
2056363.3355.6–365.7166.4130.8–209.7
2057363.2355.9–364.8168134.6–208.3
2058363356.3–364.9168.7134.9–210.3
2059362.9356.2–364.8174.7144.9–219.5
2060362.9354.1–365.7181.7138.1–219.8
2061363.2354–364.9171.8135.5–218.1
2062363.1355–364.9177.5139.9–224
2063363.2355.5–364.9181.4140.1–213.8
2064363.3356.6–365.6185.3140.1–215.2
2065363.7357.8–364.9183.5141.1–221.8
2066362.7356.9–364.8181.9146.3–219.3
2067363.6354.1–364.9178.8138.8–229.2
2068364.1356.3–365.8186144.2–228.4
2069362.8356.3–364.9183.7141.7–225.3
2070363.3356.2–364.9180.7140.4–228.2
2071363.5355.3–364.9184.9146.9–235.2
2072364.1355.6–365.8191.3155–226.1
2073363.6355.1–364.8191.6152.4–235.6
2074363.4355.4–364.8183.3149.7–231.7
2075363.4357–364.9183.8144.8–233
2076363.8358.4–365.8191.1150.9–233.2
2077363.8357.8–365191.3152.6–238.2
2078363.9356.6–364.9189156.6–233.8
2079364.2358–365190.5147–237.3
2080364.3357.8–366197.3150.7–241.2
2081363.8357.1–365195.6153.4–237.4
2082363.5357.1–364.9194.5157.3–237.3
2083364.1358.3–365193.2151–249.8
2084364358.5–365.9201.1152.2–246.7
2085364.1358.3–365204.2162.3–252.3
2086364.1357.8–365195156–248.7
2087364.1357.9–365196.7160.8–244.5
2088364.2356.4–365.9208.4154.7–246.9
2089363.9357.6–365201.3158.6–248.2
2090364.2357.6–365197.9160.7–253.6
2091363.9357.6–364.9210161.6–256
2092364.4356.6–366205.8158.3–253.6
2093364.4358.2–365207.2161.2–251.9
2094364.1357.9–365207.9161.3–250.6
2095364358.2–365214.2166.4–258.5
2096363.9358–366205.3159.8–257.4
2097363.9356.3–364.9206.6158.4–256.8
2098363.7357.8–364.9209.1161–258.3
2099363.9358.6–365208.5160.1–256
2100364.2357.6–365208158.6–258.6

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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