古巴与洪都拉斯对比

古巴与洪都拉斯:热带夜

2014 年热带夜:古巴为 309.7 夜,洪都拉斯为 176.7 夜(CMIP6 气候模型中位数模拟)。 2014 年古巴的数值较高,高出 133 夜,是洪都拉斯的 1.75 倍。

每年夜数 · CMIP6

古巴与洪都拉斯:热带夜2014 年热带夜:古巴为 309.7 夜,洪都拉斯为 176.7 夜(CMIP6 气候模型中位数模拟)。 2014 年古巴的数值较高,高出 133 夜,是洪都拉斯的 1.75 倍。
古巴洪都拉斯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,古巴的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年古巴为 346 夜,洪都拉斯为 279.1 夜。

逐年数据

每年夜数 · CMIP6

年份古巴洪都拉斯
2014309.7176.7
2013315.2181.1
2012312181.4
2011312.1180.5
2010313176.9
2009308.8174.4
2008309.3170.5
2007308.5171.8
2006309.9171
2005309.1171.6
2004309.3174.2
2003304.6170.2
2002310.4169.1
2001304.8168.2
2000308.1164.8
1999304.4162.2
1998304.9163
1997299.8160.4
1996298154.7
1995295.1152.5
1994297.3151.9
1993294.5149
1992295.7145
1991299.1156.7
1990302162.1
1989298.1153.8
1988298.3151.1
1987294151.9
1986293.6151.3
1985297.4146.1
1984289.4147.5
1983292.2143.7
1982294148.4
1981293.6150.9
1980295.8147.8
1979295.1148.9
1978290.9146
1977289.3148.6
1976293.4145.5
1975289141.8
1974291.6146.8
1973291.2145.1
1972289.4140.4
1971286.5141.1
1970283.3140.6
1969287.2142.2
1968290.6141.9
1967289.9138.4
1966290.7139.9
1965284.8138.1
1964287.7138.4
1963288.9136.8
1962292.9144.2
1961292.2145.5
1960293.3146.1
1959292.7143.3
1958291.6147.6
1957292144.5
1956294.6143.8
1955293.4146.3
1954289.5144
1953289.2143.2
1952290.9143.6
1951292.1145.5
1950292.3143.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份古巴洪都拉斯
2015315.1292.1–332.6186.4151.3–215.3
2016317.9302.7–334.8185.7154.8–211.9
2017317304–329.5194.4164.9–215.2
2018319.5301–334.2190.6168.8–218.5
2019317.6297.3–336.1189161–221
2020319.5296.6–334.3196.8164.4–223
2021320.6301.8–335.1199.3176.3–226.8
2022318.2303.4–331.8202.9173–227.6
2023322.4302.9–336.9198.1175.2–230.1
2024320.1297.1–341.5204.7177.9–233.2
2025319.6297.1–334.8202.7173.9–230.8
2026327.3300.6–343.1206.8174–235.2
2027328.7307.3–344.9206.5177.9–235.7
2028327.5306.8–343.5211.3184–238.7
2029326.5309–340.3210.3185.4–244.5
2030328.8305–342.3208.9176.9–241.7
2031328.6308.6–343.5217.3187.1–246.4
2032332.1308.4–344.7218.9194.5–247.9
2033328.3305.5–342.9213.3188.2–239.7
2034329.4308.9–346.2211.3186.1–248.7
2035325.7307.3–342.4215.3184.2–248.2
2036329307–341.7215.5194.1–242.5
2037332.6311.4–346.9226.4202.4–251.6
2038331.4313–345.1228.9198.7–256.2
2039328305.6–345.9224.4196.6–256.2
2040328.8309–347.6225.1201–258
2041331.4307.4–344.3225.9203–251.8
2042331.6309.6–345.1229.3200.2–262.8
2043332.1311–348.9224.4199–262.5
2044335.1315.6–348.6224.8201.2–262.7
2045336.3317.6–348.6231206.1–262.3
2046328.7309–349.2236.9204.5–267.7
2047334.4316.3–350.1236.3213.3–269.3
2048335.2316.3–349.1241.2216.7–268.9
2049339.5317–350.8244.8213.5–270.7
2050338.7316.7–350.6241.1207.2–277.8
2051337.4313.8–349.8239.9210.5–270.2
2052331311.8–349.4245.1215.7–271.2
2053339.5314.6–351.2240.8211.7–277.5
2054338.4322.5–348.7243.9220.4–286.6
2055336.9318.7–350.1248.1220.1–282.1
2056338.1320.4–351.5245.6213.1–279
2057340.6316.7–351.1249.4214.2–279.1
2058340.8322.3–351.7248.4217.2–289.1
2059334.6319.6–349.6252.6220.5–283.1
2060340.7320.6–352.9256.8225.2–289.4
2061337.9324.8–351.5254.5220.4–285.9
2062340.1323.4–351252.8217.4–291.1
2063340.9316.3–354.4258.7226.2–288
2064341315.6–353.1252.1224.1–285.7
2065340.3319.5–352258.1226.9–288.9
2066339.5319.3–352.1256.4227.7–287.4
2067342.1324.2–351.9258.3228.2–294.9
2068344.3320.4–354.8264.6231.2–295
2069342.8323.8–355.6258.1229.3–292
2070344.4322.1–356.2256.9225.3–297.9
2071345326.4–354.8261.9231–292.9
2072345318.5–356.3267.3235.2–300.4
2073343.1321.4–355.1268.1233.7–304.7
2074342.9325.4–354.5263.7234.2–295.9
2075341.8319.7–353.7262.1229.5–295.4
2076344.9323.6–356.2266.8231.8–298.5
2077342320.4–351.9268.6232.1–298.8
2078345324.3–355.7270.1236.8–299.6
2079343.3323.8–356265.3229.5–304.2
2080344.9328.1–358.4268.4230.2–304.2
2081342.7326–353.6268231.9–300.8
2082344.9329.8–355.4267.4230.2–301.8
2083343.8321.8–354.5268.3236.2–307.4
2084344328.8–356.5273.9235.2–307.1
2085346.4322.1–356.6276.4234.2–305.9
2086342.6316.5–352.9267.9238.8–305.2
2087345.5325.6–356.7270.4233.7–301.8
2088346.5325.1–358.5277239.9–310.2
2089347.8327.2–357.7275.4246–309.8
2090346.9334.4–356.8275.3244.1–307
2091346.9330.1–357.1281.9240.6–310.6
2092346.6327–356277.1245.6–312.3
2093345.4326.9–356.3272.8244.2–311.6
2094347326.3–357.7274.9245.2–308.4
2095343.9329.1–355.1280.8244.6–313.5
2096344326.6–356.1275.2245.8–313.5
2097346.7329.2–355.1276247.2–305.4
2098347.2326.3–356.6278.9238.9–313.4
2099345.5327.5–357.7280.8240.6–312.8
2100346329.4–356.1279.1248.3–309.6

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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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