洪都拉斯与墨西哥对比

洪都拉斯与墨西哥:热带夜

2014 年热带夜:洪都拉斯为 176.7 夜,墨西哥为 103.7 夜(CMIP6 气候模型中位数模拟)。 2014 年洪都拉斯的数值较高,高出 73 夜,是墨西哥的 1.7 倍。

每年夜数 · CMIP6

洪都拉斯与墨西哥:热带夜2014 年热带夜:洪都拉斯为 176.7 夜,墨西哥为 103.7 夜(CMIP6 气候模型中位数模拟)。 2014 年洪都拉斯的数值较高,高出 73 夜,是墨西哥的 1.7 倍。
洪都拉斯墨西哥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,洪都拉斯的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年洪都拉斯为 279.1 夜,墨西哥为 142.8 夜。

逐年数据

每年夜数 · CMIP6

年份洪都拉斯墨西哥
2014176.7103.7
2013181.1103.9
2012181.4102.8
2011180.5102.9
2010176.9101.5
2009174.4101.8
2008170.5100.1
2007171.899.1
200617199.8
2005171.699.5
2004174.299.4
2003170.298.3
2002169.199.1
2001168.298.7
2000164.897.9
1999162.296.6
199816395.8
1997160.495.9
1996154.793.8
1995152.592.7
1994151.990.7
199314989
199214588.5
1991156.793.4
1990162.194.9
1989153.893
1988151.192.1
1987151.992
1986151.390.2
1985146.190
1984147.588
1983143.786.7
1982148.488.7
1981150.991.5
1980147.890.1
1979148.990.8
197814689
1977148.689
1976145.589.1
1975141.886.8
1974146.887.9
1973145.188.6
1972140.487.7
1971141.186.8
1970140.686.1
1969142.287.5
1968141.987.1
1967138.486.7
1966139.986.4
1965138.184.9
1964138.484.7
1963136.887.1
1962144.288
1961145.589.5
1960146.189.7
1959143.389.6
1958147.689.1
1957144.589
1956143.888.5
1955146.388.2
195414488.4
1953143.288.6
1952143.687.8
1951145.589.4
1950143.788.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份洪都拉斯墨西哥
2015186.4151.3–215.3106.192.9–118.4
2016185.7154.8–211.9107.695–120
2017194.4164.9–215.2108.696.3–119.7
2018190.6168.8–218.510997.1–120.4
2019189161–221110.396.4–123
2020196.8164.4–223109.696.8–121.8
2021199.3176.3–226.8111.296.9–124.1
2022202.9173–227.6109.796–121.7
2023198.1175.2–230.1111.898.6–125.3
2024204.7177.9–233.2112.298.2–126.2
2025202.7173.9–230.811298.8–125.8
2026206.8174–235.2113.999.5–126.4
2027206.5177.9–235.7112.999.5–128.3
2028211.3184–238.7115.2101.9–127.9
2029210.3185.4–244.5115.6101.9–127.9
2030208.9176.9–241.7115.9101.7–128.4
2031217.3187.1–246.4116.1100.9–129.9
2032218.9194.5–247.9116.1102.5–129.1
2033213.3188.2–239.7117.5102.5–131.1
2034211.3186.1–248.7117.2104.1–130.3
2035215.3184.2–248.2116.4103.1–130.3
2036215.5194.1–242.5117.8105.1–131
2037226.4202.4–251.6118.6104.3–131.7
2038228.9198.7–256.2121107.5–133.4
2039224.4196.6–256.2121.3107–135.6
2040225.1201–258121.9108.1–135.1
2041225.9203–251.8121.3105.3–134.6
2042229.3200.2–262.8122.7107.7–137.1
2043224.4199–262.5122.4108.1–137.5
2044224.8201.2–262.7121.9108–135.6
2045231206.1–262.3123.1108.8–139.2
2046236.9204.5–267.7123.8109.9–139.4
2047236.3213.3–269.3125.6111.9–139.4
2048241.2216.7–268.9126.3113–140.3
2049244.8213.5–270.7127111.2–140.8
2050241.1207.2–277.8128.1112.6–142.5
2051239.9210.5–270.2127.2113.4–140.8
2052245.1215.7–271.2126.2112.5–141.1
2053240.8211.7–277.5128.4111.5–142.7
2054243.9220.4–286.6128.1113.1–142.3
2055248.1220.1–282.1129114.4–144.7
2056245.6213.1–279129.5114.3–143.8
2057249.4214.2–279.1130.3113.5–145.9
2058248.4217.2–289.1128.8114.1–144.5
2059252.6220.5–283.1129.5114.5–144.5
2060256.8225.2–289.4131.4115.5–146.5
2061254.5220.4–285.9131.3118.4–146.8
2062252.8217.4–291.1130.8115.1–146.3
2063258.7226.2–288131.2115.6–147.9
2064252.1224.1–285.7132.2116.5–147.8
2065258.1226.9–288.9133.1115.8–148.6
2066256.4227.7–287.4133.3117.2–149.4
2067258.3228.2–294.9133.3117–150.3
2068264.6231.2–295134.6117.4–150.5
2069258.1229.3–292134.4117.8–150.9
2070256.9225.3–297.9134.2116.7–151.8
2071261.9231–292.9136.3120.8–152.7
2072267.3235.2–300.4137.2119.9–153.1
2073268.1233.7–304.7136.1119.1–153.6
2074263.7234.2–295.9136119.7–152.2
2075262.1229.5–295.4135.2118.5–151.8
2076266.8231.8–298.5136.3117.4–154.7
2077268.6232.1–298.8136.8119.6–152.8
2078270.1236.8–299.6137.1118.3–154.2
2079265.3229.5–304.2138.1121.3–157.1
2080268.4230.2–304.2137.6120.5–157.9
2081268231.9–300.8137.8120.7–154.7
2082267.4230.2–301.8138.7121.6–155.2
2083268.3236.2–307.4139.2119.3–158.8
2084273.9235.2–307.1140.3123.4–157.5
2085276.4234.2–305.9139.2120.9–157.2
2086267.9238.8–305.2139.8121–157.8
2087270.4233.7–301.8139.5121.5–157.4
2088277239.9–310.2141121.8–159.9
2089275.4246–309.8140.4121.7–158.9
2090275.3244.1–307141.2123–160.7
2091281.9240.6–310.6141.8123–161.6
2092277.1245.6–312.3141.3122.5–159.3
2093272.8244.2–311.6141.4124.3–161
2094274.9245.2–308.4142123.3–159.6
2095280.8244.6–313.5143.5124–160.7
2096275.2245.8–313.5142.3125–161.3
2097276247.2–305.4141.2123.2–160
2098278.9238.9–313.4142.2122.5–162
2099280.8240.6–312.8141.8122.4–160.7
2100279.1248.3–309.6142.8124.3–160.8

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

洪都拉斯与墨西哥对比

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