古巴与墨西哥对比

古巴与墨西哥:热带夜

2014 年热带夜:古巴为 309.7 夜,墨西哥为 103.7 夜(CMIP6 气候模型中位数模拟)。 2014 年古巴的数值较高,高出 206 夜,是墨西哥的 2.99 倍。

每年夜数 · CMIP6

古巴与墨西哥:热带夜2014 年热带夜:古巴为 309.7 夜,墨西哥为 103.7 夜(CMIP6 气候模型中位数模拟)。 2014 年古巴的数值较高,高出 206 夜,是墨西哥的 2.99 倍。
古巴墨西哥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,墨西哥为 142.8 夜。

逐年数据

每年夜数 · CMIP6

年份古巴墨西哥
2014309.7103.7
2013315.2103.9
2012312102.8
2011312.1102.9
2010313101.5
2009308.8101.8
2008309.3100.1
2007308.599.1
2006309.999.8
2005309.199.5
2004309.399.4
2003304.698.3
2002310.499.1
2001304.898.7
2000308.197.9
1999304.496.6
1998304.995.8
1997299.895.9
199629893.8
1995295.192.7
1994297.390.7
1993294.589
1992295.788.5
1991299.193.4
199030294.9
1989298.193
1988298.392.1
198729492
1986293.690.2
1985297.490
1984289.488
1983292.286.7
198229488.7
1981293.691.5
1980295.890.1
1979295.190.8
1978290.989
1977289.389
1976293.489.1
197528986.8
1974291.687.9
1973291.288.6
1972289.487.7
1971286.586.8
1970283.386.1
1969287.287.5
1968290.687.1
1967289.986.7
1966290.786.4
1965284.884.9
1964287.784.7
1963288.987.1
1962292.988
1961292.289.5
1960293.389.7
1959292.789.6
1958291.689.1
195729289
1956294.688.5
1955293.488.2
1954289.588.4
1953289.288.6
1952290.987.8
1951292.189.4
1950292.388.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份古巴墨西哥
2015315.1292.1–332.6106.192.9–118.4
2016317.9302.7–334.8107.695–120
2017317304–329.5108.696.3–119.7
2018319.5301–334.210997.1–120.4
2019317.6297.3–336.1110.396.4–123
2020319.5296.6–334.3109.696.8–121.8
2021320.6301.8–335.1111.296.9–124.1
2022318.2303.4–331.8109.796–121.7
2023322.4302.9–336.9111.898.6–125.3
2024320.1297.1–341.5112.298.2–126.2
2025319.6297.1–334.811298.8–125.8
2026327.3300.6–343.1113.999.5–126.4
2027328.7307.3–344.9112.999.5–128.3
2028327.5306.8–343.5115.2101.9–127.9
2029326.5309–340.3115.6101.9–127.9
2030328.8305–342.3115.9101.7–128.4
2031328.6308.6–343.5116.1100.9–129.9
2032332.1308.4–344.7116.1102.5–129.1
2033328.3305.5–342.9117.5102.5–131.1
2034329.4308.9–346.2117.2104.1–130.3
2035325.7307.3–342.4116.4103.1–130.3
2036329307–341.7117.8105.1–131
2037332.6311.4–346.9118.6104.3–131.7
2038331.4313–345.1121107.5–133.4
2039328305.6–345.9121.3107–135.6
2040328.8309–347.6121.9108.1–135.1
2041331.4307.4–344.3121.3105.3–134.6
2042331.6309.6–345.1122.7107.7–137.1
2043332.1311–348.9122.4108.1–137.5
2044335.1315.6–348.6121.9108–135.6
2045336.3317.6–348.6123.1108.8–139.2
2046328.7309–349.2123.8109.9–139.4
2047334.4316.3–350.1125.6111.9–139.4
2048335.2316.3–349.1126.3113–140.3
2049339.5317–350.8127111.2–140.8
2050338.7316.7–350.6128.1112.6–142.5
2051337.4313.8–349.8127.2113.4–140.8
2052331311.8–349.4126.2112.5–141.1
2053339.5314.6–351.2128.4111.5–142.7
2054338.4322.5–348.7128.1113.1–142.3
2055336.9318.7–350.1129114.4–144.7
2056338.1320.4–351.5129.5114.3–143.8
2057340.6316.7–351.1130.3113.5–145.9
2058340.8322.3–351.7128.8114.1–144.5
2059334.6319.6–349.6129.5114.5–144.5
2060340.7320.6–352.9131.4115.5–146.5
2061337.9324.8–351.5131.3118.4–146.8
2062340.1323.4–351130.8115.1–146.3
2063340.9316.3–354.4131.2115.6–147.9
2064341315.6–353.1132.2116.5–147.8
2065340.3319.5–352133.1115.8–148.6
2066339.5319.3–352.1133.3117.2–149.4
2067342.1324.2–351.9133.3117–150.3
2068344.3320.4–354.8134.6117.4–150.5
2069342.8323.8–355.6134.4117.8–150.9
2070344.4322.1–356.2134.2116.7–151.8
2071345326.4–354.8136.3120.8–152.7
2072345318.5–356.3137.2119.9–153.1
2073343.1321.4–355.1136.1119.1–153.6
2074342.9325.4–354.5136119.7–152.2
2075341.8319.7–353.7135.2118.5–151.8
2076344.9323.6–356.2136.3117.4–154.7
2077342320.4–351.9136.8119.6–152.8
2078345324.3–355.7137.1118.3–154.2
2079343.3323.8–356138.1121.3–157.1
2080344.9328.1–358.4137.6120.5–157.9
2081342.7326–353.6137.8120.7–154.7
2082344.9329.8–355.4138.7121.6–155.2
2083343.8321.8–354.5139.2119.3–158.8
2084344328.8–356.5140.3123.4–157.5
2085346.4322.1–356.6139.2120.9–157.2
2086342.6316.5–352.9139.8121–157.8
2087345.5325.6–356.7139.5121.5–157.4
2088346.5325.1–358.5141121.8–159.9
2089347.8327.2–357.7140.4121.7–158.9
2090346.9334.4–356.8141.2123–160.7
2091346.9330.1–357.1141.8123–161.6
2092346.6327–356141.3122.5–159.3
2093345.4326.9–356.3141.4124.3–161
2094347326.3–357.7142123.3–159.6
2095343.9329.1–355.1143.5124–160.7
2096344326.6–356.1142.3125–161.3
2097346.7329.2–355.1141.2123.2–160
2098347.2326.3–356.6142.2122.5–162
2099345.5327.5–357.7141.8122.4–160.7
2100346329.4–356.1142.8124.3–160.8

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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