古巴与危地马拉对比

古巴与危地马拉:热带夜

2014 年热带夜:古巴为 309.7 夜,危地马拉为 171.5 夜(CMIP6 气候模型中位数模拟)。 2014 年古巴的数值较高,高出 138.2 夜,是危地马拉的 1.81 倍。

每年夜数 · CMIP6

古巴与危地马拉:热带夜2014 年热带夜:古巴为 309.7 夜,危地马拉为 171.5 夜(CMIP6 气候模型中位数模拟)。 2014 年古巴的数值较高,高出 138.2 夜,是危地马拉的 1.81 倍。
古巴危地马拉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,危地马拉为 230.9 夜。

逐年数据

每年夜数 · CMIP6

年份古巴危地马拉
2014309.7171.5
2013315.2175.4
2012312171.8
2011312.1173.8
2010313171.4
2009308.8169.7
2008309.3167.8
2007308.5167.6
2006309.9167.2
2005309.1169.2
2004309.3167.4
2003304.6165.8
2002310.4165.7
2001304.8165.3
2000308.1163.6
1999304.4162
1998304.9162.1
1997299.8160.7
1996298157.9
1995295.1153.5
1994297.3155
1993294.5153.5
1992295.7151.7
1991299.1158.2
1990302161.9
1989298.1157.5
1988298.3154.2
1987294154.7
1986293.6153.1
1985297.4150.7
1984289.4150.3
1983292.2148.1
1982294151.3
1981293.6156.7
1980295.8152.3
1979295.1153
1978290.9149.5
1977289.3150.6
1976293.4151.6
1975289147.4
1974291.6150.2
1973291.2149.6
1972289.4148.2
1971286.5145.5
1970283.3145.4
1969287.2146.8
1968290.6146.7
1967289.9142.7
1966290.7145.9
1965284.8143.3
1964287.7143
1963288.9144.6
1962292.9149.5
1961292.2149.8
1960293.3151.4
1959292.7147.4
1958291.6150.5
1957292151.1
1956294.6148.2
1955293.4152.5
1954289.5150.4
1953289.2149.3
1952290.9150.3
1951292.1151.8
1950292.3148.6
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份古巴危地马拉
2015315.1292.1–332.6177158.4–194.6
2016317.9302.7–334.8178.5161.5–195.5
2017317304–329.5182.8166.6–194.9
2018319.5301–334.2180.2165–196.4
2019317.6297.3–336.1181.7159.3–199.5
2020319.5296.6–334.3184.1161.8–198.6
2021320.6301.8–335.1184.4168.1–201.1
2022318.2303.4–331.8184.6165.7–198.4
2023322.4302.9–336.9186.3171.1–207
2024320.1297.1–341.5187.1169.9–207.3
2025319.6297.1–334.8187.4169.7–205.6
2026327.3300.6–343.1190.9167.9–211
2027328.7307.3–344.9188.4171.9–210.9
2028327.5306.8–343.5191.3175.8–208.5
2029326.5309–340.3192.7175.6–208.8
2030328.8305–342.3191173.3–207.9
2031328.6308.6–343.5193.6175.3–211.4
2032332.1308.4–344.7196.4178.7–214.8
2033328.3305.5–342.9193.3174.6–208.5
2034329.4308.9–346.2193.5176.2–214.4
2035325.7307.3–342.4193.4177.7–212.8
2036329307–341.7194.4180.5–212.8
2037332.6311.4–346.9199.1180–216.2
2038331.4313–345.1202.6184.8–216.7
2039328305.6–345.9199181.6–217.6
2040328.8309–347.6200.3182.9–217.9
2041331.4307.4–344.3200.7182.1–218.2
2042331.6309.6–345.1201.6180.3–222.1
2043332.1311–348.9201.7182.3–226.4
2044335.1315.6–348.6200.8184.9–222.3
2045336.3317.6–348.6203.6188.7–225.1
2046328.7309–349.2204.5183.3–227.5
2047334.4316.3–350.1207.5190.3–227.5
2048335.2316.3–349.1208.2188.9–229.4
2049339.5317–350.8210.1188.7–227.4
2050338.7316.7–350.6211.4188–230.7
2051337.4313.8–349.8208.1192.7–229.2
2052331311.8–349.4207.7193–227.9
2053339.5314.6–351.2209.8186.4–233.2
2054338.4322.5–348.7209.5194.7–233.2
2055336.9318.7–350.1212.4196.2–231.9
2056338.1320.4–351.5210.9193.3–233.1
2057340.6316.7–351.1213.3193.7–232.4
2058340.8322.3–351.7211.7192.3–238.1
2059334.6319.6–349.6214.5190.4–237.4
2060340.7320.6–352.9217.4196.4–237.3
2061337.9324.8–351.5213.9193.7–237.1
2062340.1323.4–351216.3194–237.3
2063340.9316.3–354.4217.2197–240.8
2064341315.6–353.1214.5196.1–236.1
2065340.3319.5–352217.3195.2–238.2
2066339.5319.3–352.1217.9195.2–240
2067342.1324.2–351.9216.4194.1–241.1
2068344.3320.4–354.8221200.2–243.4
2069342.8323.8–355.6219.9200.5–241.9
2070344.4322.1–356.2219.6199.9–242.6
2071345326.4–354.8222.5203.4–243
2072345318.5–356.3225.6200.4–247.6
2073343.1321.4–355.1224.4199.9–248.3
2074342.9325.4–354.5222.5202.2–245.9
2075341.8319.7–353.7220.2198.7–242.6
2076344.9323.6–356.2222.9195.4–247.7
2077342320.4–351.9225.2198.3–245.9
2078345324.3–355.7225.4197.8–245.9
2079343.3323.8–356223.4199.3–248.2
2080344.9328.1–358.4223.4201–250.7
2081342.7326–353.6224202.5–246.6
2082344.9329.8–355.4224.8201.3–245.9
2083343.8321.8–354.5225202.3–250.5
2084344328.8–356.5227.9204.9–249.9
2085346.4322.1–356.6227.7199.2–251.3
2086342.6316.5–352.9224.9202.3–249.6
2087345.5325.6–356.7227.1197.8–249.7
2088346.5325.1–358.5230.6207.4–255.5
2089347.8327.2–357.7229.7207.4–251.4
2090346.9334.4–356.8228.2210–253.4
2091346.9330.1–357.1231.4206.6–255.4
2092346.6327–356230.1207.4–253.4
2093345.4326.9–356.3226.7206–255.5
2094347326.3–357.7227.3204.4–251.7
2095343.9329.1–355.1231.1207.7–255.5
2096344326.6–356.1229.9206.3–255.5
2097346.7329.2–355.1226.7208.6–249.5
2098347.2326.3–356.6231.1202.9–259.1
2099345.5327.5–357.7230.2203.1–256.5
2100346329.4–356.1230.9208.9–255.1

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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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