刚果(金)与津巴布韦对比

刚果(金)与津巴布韦:热带夜

2014 年热带夜:刚果(金)为 248.5 夜,津巴布韦为 76.4 夜(CMIP6 气候模型中位数模拟)。 2014 年刚果(金)的数值较高,高出 172.1 夜,是津巴布韦的 3.25 倍。

每年夜数 · CMIP6

刚果(金)与津巴布韦:热带夜2014 年热带夜:刚果(金)为 248.5 夜,津巴布韦为 76.4 夜(CMIP6 气候模型中位数模拟)。 2014 年刚果(金)的数值较高,高出 172.1 夜,是津巴布韦的 3.25 倍。
刚果(金)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,刚果(金)的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年刚果(金)为 324.1 夜,津巴布韦为 148.3 夜。

逐年数据

每年夜数 · CMIP6

年份刚果(金)津巴布韦
2014248.576.4
2013249.278.4
2012250.975.9
2011248.773.3
2010243.571.5
200924369.6
2008239.769.8
2007237.769.3
200623970.3
2005237.369.5
2004238.571.8
2003239.372.9
2002236.571.3
2001242.571.3
2000233.567.4
1999226.262.3
1998230.666.3
1997226.662
1996218.657.7
1995217.258.9
1994211.956.8
1993201.550.1
1992197.652.1
1991220.158.7
1990225.461.5
1989218.460.4
1988216.761.6
1987216.657.3
1986216.858.6
1985206.154.1
1984205.954.6
1983204.353.3
1982204.553.7
1981215.257
1980211.457.3
1979208.556.2
1978202.653.1
1977206.555.2
1976201.951.2
197519953.6
197420454.2
1973208.453.9
1972202.553.2
1971196.351.1
1970201.753.1
1969197.353.3
196819948.7
1967188.848.7
1966194.748.8
196518948.6
1964177.344.6
1963178.547.4
1962203.255.8
1961203.951.6
1960209.855.6
1959203.353.6
1958204.355.3
195720453.2
1956197.648.6
1955200.554.4
195420153
1953204.651.8
1952201.952.7
1951204.852.3
1950200.851.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份刚果(金)津巴布韦
2015256.6217.3–277.779.463.5–98.5
2016247.7213.3–269.378.657.9–101.7
2017257.4226.6–278.381.263.3–98.5
2018258.8228.1–276.882.160.5–104.1
2019255.8222.6–278.782.863.9–102.3
2020259.4227.4–282.384.362.9–106.9
2021262.6234.7–283.882.564.7–102.7
2022264.8235.1–288.589.870.1–108.8
2023263.9236.8–287.290.672.5–110.7
2024270.9237.9–29093.769.8–113.4
2025266.1230.6–292.28865.1–114.6
2026267.4226.8–294.589.767.8–113.9
2027268.6230.6–293.695.668.4–119.6
2028271.7239.7–295.993.371.4–115.7
2029275.9249.3–296.6100.277.2–120
2030270.4241.7–296.19671.6–115.3
2031279.4246.6–297.59874.9–119.8
2032277.9249.4–302.398.574.7–118.5
2033276.9245.9–301.698.974–120.6
2034276.7247.4–305.6100.277.3–128.1
2035281243.7–305.1103.975.7–130.6
2036278.3244.7–304.9100.878–123
2037286.9256.1–308.610882.1–131.1
2038289261.5–307.1110.986.5–135
2039284.7253.4–307.3102.480.4–122.3
2040284.5254.7–311.5101.379.5–133.5
2041289.9258.4–310.8108.483.7–134.2
2042286.9254.1–314.3108.883.1–139.9
2043285.9253–313107.985.7–137.3
2044288.3253.6–312.5111.287–134.8
2045289.4260.1–314.1106.186.2–130.7
2046298.3261.3–317.3112.386.4–139.1
2047298.5268.2–317.8119.692.1–145.9
2048299.1268–320.8116.888.4–143.9
2049300.3269.6–320.4119.290.4–146.2
2050297.8267.2–320.6122.794.1–148.6
2051298.4272.3–323.1122.4100.9–147.7
2052300.2271.5–324124.2101.3–152.8
2053298.7265.5–322.6121.689–146.9
2054300.6269.6–322.8123.993.9–150.8
2055301.9274.9–325.6126.597.9–153.7
2056302.1266.2–328.3126.198–154.7
2057305.1274.4–326.5122.797.6–150.7
2058305.3274.1–327.1125.3103–154.1
2059305.4279–329.6132.2107.4–157.4
2060310.7273.5–330.2132.599.9–159
2061307266.1–329.8126.694.2–161.1
2062308.8269.1–332126.399.6–157.3
2063308.4277.6–328.4127.7101–159.7
2064310.6278.4–329.6130.498–151.3
2065311.9282.4–331.2132.4107.6–165.6
2066310.4284.2–330.3134.5106.8–159.8
2067308.8275.9–334125.598.9–160.5
2068313.9280.8–334.6134102.3–166.1
2069312.1270.6–332.7136.9106.4–164.2
2070309.6278–334133.199.8–166.3
2071312.6285–336.5135.2108.4–173.7
2072317287.7–334.6140.4110.6–166.8
2073316.2291.2–337.1140.9109.7–173.6
2074311.6284.5–334.9135.5112–170.6
2075312.3279.3–335.2136108.5–166.6
2076315.9288.7–337.1133.7105.9–163.7
2077318.5292.6–338.2140.2114.3–170.6
2078315287.3–337.1137.5111.3–172.3
2079314.8286.3–336136.9110.2–172.6
2080318.5286.8–337.8145115.8–173.2
2081318.4287.8–336.7147.2106.5–174.1
2082318.7289.8–336.5141.4111.4–169.9
2083317.4290.6–340.9143.6106.5–179.2
2084321.6293.8–339.8149.4117.3–176.9
2085324.4294.3–341.4154.3114.9–182.7
2086319290.7–340.7141.7115.3–176.1
2087318.3291.9–339.6142.7116.8–177.3
2088320.9292.9–340150.2118.3–178.9
2089322.1293.9–339.8148.9121.3–176.4
2090320.4295.5–341.7145.7113.7–179.4
2091325.4294.3–343.3149.7116.5–181.8
2092321.5294.4–342.4149.4119.7–181.7
2093323.1297.8–341.2152.5117.1–184.1
2094323.1296.5–341.1150.9117.3–182.2
2095325.6299.1–343.7155118.3–181.5
2096321.8296.2–344.1152.4113.1–189.2
2097321.5292.6–342144.1113.8–183.3
2098324.2295.1–342.8152.4119.2–187
2099322.8293.7–344.6152.9117.3–185
2100324.1292.1–344.1148.3120.1–184.6

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

刚果(金)与津巴布韦对比

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