伯利兹与墨西哥对比

伯利兹与墨西哥:热带夜

2014 年热带夜:伯利兹为 305.9 夜,墨西哥为 103.7 夜(CMIP6 气候模型中位数模拟)。 2014 年伯利兹的数值较高,高出 202.2 夜,是墨西哥的 2.95 倍。

每年夜数 · CMIP6

伯利兹与墨西哥:热带夜2014 年热带夜:伯利兹为 305.9 夜,墨西哥为 103.7 夜(CMIP6 气候模型中位数模拟)。 2014 年伯利兹的数值较高,高出 202.2 夜,是墨西哥的 2.95 倍。
伯利兹墨西哥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,伯利兹的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年伯利兹为 349 夜,墨西哥为 142.8 夜。

逐年数据

每年夜数 · CMIP6

年份伯利兹墨西哥
2014305.9103.7
2013311.6103.9
2012306.4102.8
2011306.8102.9
2010305.3101.5
2009304.3101.8
2008302.1100.1
2007302.299.1
200630299.8
2005304.399.5
2004303.699.4
2003299.698.3
2002299.199.1
2001299.398.7
2000299.597.9
199929796.6
1998297.195.8
1997296.995.9
1996292.393.8
1995288.592.7
1994290.790.7
1993289.489
1992288.988.5
1991293.993.4
1990296.294.9
1989294.293
1988291.692.1
1987289.292
1986286.890.2
1985287.490
1984284.988
1983282.586.7
1982285.788.7
1981291.491.5
1980287.790.1
1979286.990.8
197828589
1977284.189
1976287.689.1
1975283.586.8
1974284.587.9
1973284.988.6
1972282.387.7
1971279.486.8
1970278.186.1
1969282.487.5
1968281.287.1
1967277.286.7
1966280.386.4
1965278.184.9
1964277.584.7
1963280.287.1
1962283.588
196128589.5
1960287.289.7
1959282.689.6
1958284.389.1
1957286.489
1956283.888.5
1955288.488.2
1954286.388.4
1953285.888.6
195228387.8
1951286.989.4
1950284.288.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份伯利兹墨西哥
2015310.2291.1–328.2106.192.9–118.4
2016314296.3–330107.695–120
2017313.9301.3–327.1108.696.3–119.7
2018314.9299.7–329.410997.1–120.4
2019315.8295.7–333.2110.396.4–123
2020316.4295.8–329.4109.696.8–121.8
2021316.6300.5–331.9111.296.9–124.1
2022316.4298–328109.796–121.7
2023319.9304.9–336.9111.898.6–125.3
2024318.7301–338.1112.298.2–126.2
2025319.4303.7–332.811298.8–125.8
2026324.1302.2–339.1113.999.5–126.4
2027321.6306.8–340.3112.999.5–128.3
2028324.6308–339.3115.2101.9–127.9
2029323.5306.4–336.5115.6101.9–127.9
2030324.7308.1–337.6115.9101.7–128.4
2031327.5306.8–339.3116.1100.9–129.9
2032327309.8–342.8116.1102.5–129.1
2033326.5302.7–339.6117.5102.5–131.1
2034324.9307.4–341.4117.2104.1–130.3
2035325.1306.9–339.1116.4103.1–130.3
2036325.9309.3–343.2117.8105.1–131
2037329.5306.6–341.4118.6104.3–131.7
2038332.3315.1–343.1121107.5–133.4
2039327.9309.4–343.3121.3107–135.6
2040330.8310.8–343.1121.9108.1–135.1
2041331.1308–343121.3105.3–134.6
2042332.8309.1–344.1122.7107.7–137.1
2043331311.3–348.6122.4108.1–137.5
2044331.9314.8–345.3121.9108–135.6
2045333.5318.7–347123.1108.8–139.2
2046329.8310.4–348.8123.8109.9–139.4
2047334.8319.5–348.1125.6111.9–139.4
2048334.6315–348.6126.3113–140.3
2049338.1317.9–348.4127111.2–140.8
2050339.9315.8–351.4128.1112.6–142.5
2051338.1320.7–348.1127.2113.4–140.8
2052332.1320.3–349.1126.2112.5–141.1
2053337.8314.6–351.8128.4111.5–142.7
2054336.4324.5–349.9128.1113.1–142.3
2055337.4323.9–351.1129114.4–144.7
2056338.7322.9–352129.5114.3–143.8
2057339.1324.2–350.4130.3113.5–145.9
2058337.8320.9–352.1128.8114.1–144.5
2059339.3316.6–351.6129.5114.5–144.5
2060342.5325.6–352131.4115.5–146.5
2061339.5324.4–352.2131.3118.4–146.8
2062339323.2–350.6130.8115.1–146.3
2063339.9323.9–354.6131.2115.6–147.9
2064339.2321.5–352.1132.2116.5–147.8
2065339.4322.2–352.2133.1115.8–148.6
2066341.2321.8–353.5133.3117.2–149.4
2067341.3323–354.4133.3117–150.3
2068343.4326.8–356.5134.6117.4–150.5
2069345.3328.1–355.2134.4117.8–150.9
2070342.8326.9–355.8134.2116.7–151.8
2071345.1329.4–354.6136.3120.8–152.7
2072347.7324.9–358.6137.2119.9–153.1
2073343.9325.6–356.7136.1119.1–153.6
2074347.2328.1–357136119.7–152.2
2075343.1324.1–355.5135.2118.5–151.8
2076344.4317.6–358.1136.3117.4–154.7
2077344.1324–356136.8119.6–152.8
2078346.6323.7–357.9137.1118.3–154.2
2079344.4327.3–356.8138.1121.3–157.1
2080344.8327.2–359.4137.6120.5–157.9
2081345.4326.3–355137.8120.7–154.7
2082345.2329.8–357.4138.7121.6–155.2
2083344.1328–357.1139.2119.3–158.8
2084346.9331.9–357.4140.3123.4–157.5
2085346.2325.2–357.5139.2120.9–157.2
2086345.1325.5–356.1139.8121–157.8
2087348323.8–357.8139.5121.5–157.4
2088351.4330.2–359.6141121.8–159.9
2089350.2327.9–358.1140.4121.7–158.9
2090348.6336–359.8141.2123–160.7
2091348.7333.4–359.8141.8123–161.6
2092349.5329.8–357.9141.3122.5–159.3
2093346.1331–358.6141.4124.3–161
2094348329.9–357.3142123.3–159.6
2095348.9334.1–357.6143.5124–160.7
2096348.8330.7–357.5142.3125–161.3
2097345333.7–355.7141.2123.2–160
2098346.8326.4–359.5142.2122.5–162
2099348.4326.5–357.8141.8122.4–160.7
2100349332.1–357.1142.8124.3–160.8

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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