刚果(金)与印度尼西亚对比

刚果(金)与印度尼西亚:热带夜

2014 年热带夜:刚果(金)为 248.5 夜,印度尼西亚为 306.5 夜(CMIP6 气候模型中位数模拟)。 2014 年印度尼西亚的数值较高,高出 58 夜,是刚果(金)的 1.23 倍。

每年夜数 · CMIP6

刚果(金)与印度尼西亚:热带夜2014 年热带夜:刚果(金)为 248.5 夜,印度尼西亚为 306.5 夜(CMIP6 气候模型中位数模拟)。 2014 年印度尼西亚的数值较高,高出 58 夜,是刚果(金)的 1.23 倍。
刚果(金)印度尼西亚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,印度尼西亚的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年刚果(金)为 324.1 夜,印度尼西亚为 334.7 夜。

逐年数据

每年夜数 · CMIP6

年份刚果(金)印度尼西亚
2014248.5306.5
2013249.2306.4
2012250.9306.3
2011248.7304.6
2010243.5305.6
2009243303.9
2008239.7303.4
2007237.7302.8
2006239302.8
2005237.3303.1
2004238.5303.8
2003239.3301.9
2002236.5301.5
2001242.5302.5
2000233.5300.9
1999226.2300.4
1998230.6299.1
1997226.6297.9
1996218.6296.9
1995217.2296.7
1994211.9294.6
1993201.5291.6
1992197.6288.5
1991220.1297.5
1990225.4298.6
1989218.4296
1988216.7296.5
1987216.6295.6
1986216.8295.8
1985206.1292.8
1984205.9293.4
1983204.3290.1
1982204.5294.4
1981215.2294.8
1980211.4294.5
1979208.5294.1
1978202.6292.4
1977206.5293.4
1976201.9290.8
1975199290.7
1974204291.5
1973208.4293
1972202.5290.7
1971196.3291.2
1970201.7288.9
1969197.3290.4
1968199289.1
1967188.8288.4
1966194.7290.5
1965189288.1
1964177.3286.2
1963178.5286.4
1962203.2291.2
1961203.9292.9
1960209.8292.8
1959203.3291.9
1958204.3293.3
1957204290.8
1956197.6291.5
1955200.5292.4
1954201290
1953204.6291.4
1952201.9291.7
1951204.8291.7
1950200.8291.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份刚果(金)印度尼西亚
2015256.6217.3–277.7308295.7–315.1
2016247.7213.3–269.3307.5296.9–315.6
2017257.4226.6–278.3308.4295.5–315.6
2018258.8228.1–276.8308.9296.4–316.6
2019255.8222.6–278.7309.9297.8–316.7
2020259.4227.4–282.3310.9299–318.6
2021262.6234.7–283.8310.4298.7–316.4
2022264.8235.1–288.5311.4300–319.6
2023263.9236.8–287.2311.4300.1–320.6
2024270.9237.9–290313.2302–321.2
2025266.1230.6–292.2312300.2–321.9
2026267.4226.8–294.5312.6299.9–322.8
2027268.6230.6–293.6312.7301–321.6
2028271.7239.7–295.9313.8302.4–321.9
2029275.9249.3–296.6315.5303.9–324.1
2030270.4241.7–296.1314.2303.1–322.6
2031279.4246.6–297.5314.4301.6–321.9
2032277.9249.4–302.3316.9304.8–325.8
2033276.9245.9–301.6316.6305.4–323.3
2034276.7247.4–305.6315.4303.9–323.9
2035281243.7–305.1316.3305.6–327.9
2036278.3244.7–304.9317.7305.2–326.2
2037286.9256.1–308.6318.1306.6–325.2
2038289261.5–307.1319.3307.6–326.7
2039284.7253.4–307.3319.4307.7–326.7
2040284.5254.7–311.5318.5306.5–329
2041289.9258.4–310.8320.2308.3–328
2042286.9254.1–314.3320308.7–329.2
2043285.9253–313318.6306.6–327.8
2044288.3253.6–312.5321309–329.6
2045289.4260.1–314.1320.8308.6–329.8
2046298.3261.3–317.3322.8308.8–331
2047298.5268.2–317.8323.2308.8–333
2048299.1268–320.8322.3310.5–332.3
2049300.3269.6–320.4323.8311.6–334.1
2050297.8267.2–320.6323.3310.3–333.5
2051298.4272.3–323.1323.6311.2–334.4
2052300.2271.5–324325.1311.7–334.7
2053298.7265.5–322.6323.9310.9–333.8
2054300.6269.6–322.8324.4311.9–335.4
2055301.9274.9–325.6325.3312.6–335
2056302.1266.2–328.3325.9312.4–337.2
2057305.1274.4–326.5326.9311.9–335.2
2058305.3274.1–327.1326.4313–336.3
2059305.4279–329.6326.4313.9–337.8
2060310.7273.5–330.2329.5314.9–338.2
2061307266.1–329.8327.9313.6–336.9
2062308.8269.1–332327.6312.4–339.1
2063308.4277.6–328.4327.6313.9–339.4
2064310.6278.4–329.6328.8314.4–338.6
2065311.9282.4–331.2327.6314.3–337.9
2066310.4284.2–330.3328.6314.7–338.5
2067308.8275.9–334328.8314.3–338
2068313.9280.8–334.6329.8314.4–339.9
2069312.1270.6–332.7329.5315.5–339.3
2070309.6278–334328.6315.1–338.8
2071312.6285–336.5331.4315.5–340.4
2072317287.7–334.6330.3315.9–339.4
2073316.2291.2–337.1331.4317.7–341
2074311.6284.5–334.9329.9316.8–341.1
2075312.3279.3–335.2330.5315.2–340.2
2076315.9288.7–337.1331.5316.2–341.2
2077318.5292.6–338.2332315.9–341.8
2078315287.3–337.1331.4318.2–340.9
2079314.8286.3–336331.5316.6–341.5
2080318.5286.8–337.8332.4317.4–343.2
2081318.4287.8–336.7332.3318.4–341.8
2082318.7289.8–336.5332.8317.8–340.4
2083317.4290.6–340.9333.1318.7–342.6
2084321.6293.8–339.8333317.8–342.7
2085324.4294.3–341.4332.6318.1–342.7
2086319290.7–340.7333.1318.9–342.3
2087318.3291.9–339.6332.6318–343.2
2088320.9292.9–340334.5319.5–343.1
2089322.1293.9–339.8333.6319–342.6
2090320.4295.5–341.7333.3319.6–343.3
2091325.4294.3–343.3334.5318.2–343.9
2092321.5294.4–342.4335.1319.7–343.6
2093323.1297.8–341.2333.9320–344.9
2094323.1296.5–341.1335.6320.4–342.8
2095325.6299.1–343.7335.4319.7–343
2096321.8296.2–344.1334.3319.4–346.1
2097321.5292.6–342334.2319.5–343.3
2098324.2295.1–342.8334.9319.4–343.4
2099322.8293.7–344.6334.4319.4–344.6
2100324.1292.1–344.1334.7318.7–343.3

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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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