危地马拉与洪都拉斯对比

危地马拉与洪都拉斯：热带夜

2014 年热带夜：危地马拉为 171.5 夜，洪都拉斯为 176.7 夜（CMIP6 气候模型中位数模拟）。 2014 年洪都拉斯的数值较高，高出 5.2 夜，是危地马拉的 1.03 倍。

在地图上查看其变化

每年夜数 · CMIP6

危地马拉与洪都拉斯：热带夜2014 年热带夜：危地马拉为 171.5 夜，洪都拉斯为 176.7 夜（CMIP6 气候模型中位数模拟）。 2014 年洪都拉斯的数值较高，高出 5.2 夜，是危地马拉的 1.03 倍。
危地马拉洪都拉斯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 1998 年超过危地马拉以来，洪都拉斯的数值一直更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年危地马拉为 230.9 夜，洪都拉斯为 279.1 夜。

逐年数据

每年夜数 · CMIP6

年份危地马拉洪都拉斯
2014171.5176.7
2013175.4181.1
2012171.8181.4
2011173.8180.5
2010171.4176.9
2009169.7174.4
2008167.8170.5
2007167.6171.8
2006167.2171
2005169.2171.6
2004167.4174.2
2003165.8170.2
2002165.7169.1
2001165.3168.2
2000163.6164.8
1999162162.2
1998162.1163
1997160.7160.4
1996157.9154.7
1995153.5152.5
1994155151.9
1993153.5149
1992151.7145
1991158.2156.7
1990161.9162.1
1989157.5153.8
1988154.2151.1
1987154.7151.9
1986153.1151.3
1985150.7146.1
1984150.3147.5
1983148.1143.7
1982151.3148.4
1981156.7150.9
1980152.3147.8
1979153148.9
1978149.5146
1977150.6148.6
1976151.6145.5
1975147.4141.8
1974150.2146.8
1973149.6145.1
1972148.2140.4
1971145.5141.1
1970145.4140.6
1969146.8142.2
1968146.7141.9
1967142.7138.4
1966145.9139.9
1965143.3138.1
1964143138.4
1963144.6136.8
1962149.5144.2
1961149.8145.5
1960151.4146.1
1959147.4143.3
1958150.5147.6
1957151.1144.5
1956148.2143.8
1955152.5146.3
1954150.4144
1953149.3143.2
1952150.3143.6
1951151.8145.5
1950148.6143.7
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份危地马拉洪都拉斯
2015177158.4–194.6186.4151.3–215.3
2016178.5161.5–195.5185.7154.8–211.9
2017182.8166.6–194.9194.4164.9–215.2
2018180.2165–196.4190.6168.8–218.5
2019181.7159.3–199.5189161–221
2020184.1161.8–198.6196.8164.4–223
2021184.4168.1–201.1199.3176.3–226.8
2022184.6165.7–198.4202.9173–227.6
2023186.3171.1–207198.1175.2–230.1
2024187.1169.9–207.3204.7177.9–233.2
2025187.4169.7–205.6202.7173.9–230.8
2026190.9167.9–211206.8174–235.2
2027188.4171.9–210.9206.5177.9–235.7
2028191.3175.8–208.5211.3184–238.7
2029192.7175.6–208.8210.3185.4–244.5
2030191173.3–207.9208.9176.9–241.7
2031193.6175.3–211.4217.3187.1–246.4
2032196.4178.7–214.8218.9194.5–247.9
2033193.3174.6–208.5213.3188.2–239.7
2034193.5176.2–214.4211.3186.1–248.7
2035193.4177.7–212.8215.3184.2–248.2
2036194.4180.5–212.8215.5194.1–242.5
2037199.1180–216.2226.4202.4–251.6
2038202.6184.8–216.7228.9198.7–256.2
2039199181.6–217.6224.4196.6–256.2
2040200.3182.9–217.9225.1201–258
2041200.7182.1–218.2225.9203–251.8
2042201.6180.3–222.1229.3200.2–262.8
2043201.7182.3–226.4224.4199–262.5
2044200.8184.9–222.3224.8201.2–262.7
2045203.6188.7–225.1231206.1–262.3
2046204.5183.3–227.5236.9204.5–267.7
2047207.5190.3–227.5236.3213.3–269.3
2048208.2188.9–229.4241.2216.7–268.9
2049210.1188.7–227.4244.8213.5–270.7
2050211.4188–230.7241.1207.2–277.8
2051208.1192.7–229.2239.9210.5–270.2
2052207.7193–227.9245.1215.7–271.2
2053209.8186.4–233.2240.8211.7–277.5
2054209.5194.7–233.2243.9220.4–286.6
2055212.4196.2–231.9248.1220.1–282.1
2056210.9193.3–233.1245.6213.1–279
2057213.3193.7–232.4249.4214.2–279.1
2058211.7192.3–238.1248.4217.2–289.1
2059214.5190.4–237.4252.6220.5–283.1
2060217.4196.4–237.3256.8225.2–289.4
2061213.9193.7–237.1254.5220.4–285.9
2062216.3194–237.3252.8217.4–291.1
2063217.2197–240.8258.7226.2–288
2064214.5196.1–236.1252.1224.1–285.7
2065217.3195.2–238.2258.1226.9–288.9
2066217.9195.2–240256.4227.7–287.4
2067216.4194.1–241.1258.3228.2–294.9
2068221200.2–243.4264.6231.2–295
2069219.9200.5–241.9258.1229.3–292
2070219.6199.9–242.6256.9225.3–297.9
2071222.5203.4–243261.9231–292.9
2072225.6200.4–247.6267.3235.2–300.4
2073224.4199.9–248.3268.1233.7–304.7
2074222.5202.2–245.9263.7234.2–295.9
2075220.2198.7–242.6262.1229.5–295.4
2076222.9195.4–247.7266.8231.8–298.5
2077225.2198.3–245.9268.6232.1–298.8
2078225.4197.8–245.9270.1236.8–299.6
2079223.4199.3–248.2265.3229.5–304.2
2080223.4201–250.7268.4230.2–304.2
2081224202.5–246.6268231.9–300.8
2082224.8201.3–245.9267.4230.2–301.8
2083225202.3–250.5268.3236.2–307.4
2084227.9204.9–249.9273.9235.2–307.1
2085227.7199.2–251.3276.4234.2–305.9
2086224.9202.3–249.6267.9238.8–305.2
2087227.1197.8–249.7270.4233.7–301.8
2088230.6207.4–255.5277239.9–310.2
2089229.7207.4–251.4275.4246–309.8
2090228.2210–253.4275.3244.1–307
2091231.4206.6–255.4281.9240.6–310.6
2092230.1207.4–253.4277.1245.6–312.3
2093226.7206–255.5272.8244.2–311.6
2094227.3204.4–251.7274.9245.2–308.4
2095231.1207.7–255.5280.8244.6–313.5
2096229.9206.3–255.5275.2245.8–313.5
2097226.7208.6–249.5276247.2–305.4
2098231.1202.9–259.1278.9238.9–313.4
2099230.2203.1–256.5280.8240.6–312.8
2100230.9208.9–255.1279.1248.3–309.6

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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。

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