危地马拉与委内瑞拉对比

危地马拉与委内瑞拉：热带夜

2014 年热带夜：危地马拉为 171.5 夜，委内瑞拉为 301.6 夜（CMIP6 气候模型中位数模拟）。 2014 年委内瑞拉的数值较高，高出 130.1 夜，是危地马拉的 1.76 倍。

在地图上查看其变化

每年夜数 · CMIP6

危地马拉与委内瑞拉：热带夜2014 年热带夜：危地马拉为 171.5 夜，委内瑞拉为 301.6 夜（CMIP6 气候模型中位数模拟）。 2014 年委内瑞拉的数值较高，高出 130.1 夜，是危地马拉的 1.76 倍。
危地马拉委内瑞拉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，委内瑞拉的数值都更高。
  • 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，委内瑞拉为 345 夜。

逐年数据

每年夜数 · CMIP6

年份危地马拉委内瑞拉
2014171.5301.6
2013175.4302
2012171.8303.7
2011173.8301.3
2010171.4300.3
2009169.7300
2008167.8298.4
2007167.6296.4
2006167.2296.8
2005169.2296.8
2004167.4299.4
2003165.8295.2
2002165.7296.3
2001165.3298.7
2000163.6292.3
1999162291.6
1998162.1291.4
1997160.7290.5
1996157.9286.8
1995153.5285.4
1994155282.3
1993153.5279.5
1992151.7274.7
1991158.2289.7
1990161.9291.4
1989157.5283.8
1988154.2284.2
1987154.7284.2
1986153.1284.4
1985150.7278.3
1984150.3279.8
1983148.1274.3
1982151.3280.8
1981156.7283.4
1980152.3280.5
1979153281.1
1978149.5278.7
1977150.6281.2
1976151.6276.6
1975147.4272.3
1974150.2277.7
1973149.6278.9
1972148.2275.9
1971145.5276.5
1970145.4275.6
1969146.8275.6
1968146.7273.2
1967142.7271.5
1966145.9273.1
1965143.3272.1
1964143270.3
1963144.6268.9
1962149.5276.8
1961149.8278.6
1960151.4279.9
1959147.4276.1
1958150.5280.9
1957151.1277.6
1956148.2275.1
1955152.5277.7
1954150.4277.5
1953149.3277.3
1952150.3278.4
1951151.8277.5
1950148.6275.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份危地马拉委内瑞拉
2015177158.4–194.6306.4280.3–320.1
2016178.5161.5–195.5303.9282.3–316.9
2017182.8166.6–194.9308.5288.7–319.9
2018180.2165–196.4307.6289.9–320.7
2019181.7159.3–199.5306.7288.7–321.7
2020184.1161.8–198.6310.2287.9–323.6
2021184.4168.1–201.1311.3295.3–324.1
2022184.6165.7–198.4314.4295–326.3
2023186.3171.1–207311.5294.4–326.5
2024187.1169.9–207.3316298.2–327.4
2025187.4169.7–205.6313.8294.2–329.5
2026190.9167.9–211314290.3–329.4
2027188.4171.9–210.9315.6292.6–328.8
2028191.3175.8–208.5317.7296.4–332.1
2029192.7175.6–208.8319.3296.9–332
2030191173.3–207.9317.7295–328.5
2031193.6175.3–211.4320.1295.9–331.8
2032196.4178.7–214.8321.4304.7–335
2033193.3174.6–208.5320.6301.8–331.2
2034193.5176.2–214.4318.1298.1–335
2035193.4177.7–212.8319.3302.3–335.9
2036194.4180.5–212.8320.5305.3–332.3
2037199.1180–216.2324.1307.2–334.1
2038202.6184.8–216.7325.8309.6–336.2
2039199181.6–217.6324.3307.9–335.8
2040200.3182.9–217.9323.5307.5–338.7
2041200.7182.1–218.2325.3309.6–336.6
2042201.6180.3–222.1324.8305.5–341.2
2043201.7182.3–226.4324.2307.1–337.7
2044200.8184.9–222.3324.1306.3–339.8
2045203.6188.7–225.1327.5309.7–338.6
2046204.5183.3–227.5329.6310.8–340.5
2047207.5190.3–227.5329.5313.9–341.5
2048208.2188.9–229.4331.2313.7–342.8
2049210.1188.7–227.4332.3314.9–340.5
2050211.4188–230.7330.9311.8–343.6
2051208.1192.7–229.2330.7310.1–344
2052207.7193–227.9332.4316.6–343.5
2053209.8186.4–233.2330.6312.7–343.6
2054209.5194.7–233.2331.9313.8–344.6
2055212.4196.2–231.9333317–345.8
2056210.9193.3–233.1332.7313.1–347.7
2057213.3193.7–232.4334.2315.2–345.3
2058211.7192.3–238.1333.5314.3–346.2
2059214.5190.4–237.4335.6317.1–348.3
2060217.4196.4–237.3337.4319.4–349
2061213.9193.7–237.1335.3317.3–347.2
2062216.3194–237.3335.9315–348.4
2063217.2197–240.8338317.5–347.9
2064214.5196.1–236.1336.3319.9–347.5
2065217.3195.2–238.2336.8319.9–349
2066217.9195.2–240337.9320.9–349.1
2067216.4194.1–241.1337.5317.9–348.2
2068221200.2–243.4339.3317.4–349.4
2069219.9200.5–241.9336.5318.1–349
2070219.6199.9–242.6336.4319.5–349.1
2071222.5203.4–243338.9319.1–349.1
2072225.6200.4–247.6340321.8–350.6
2073224.4199.9–248.3340.3322.9–351.4
2074222.5202.2–245.9338.9319.1–349.5
2075220.2198.7–242.6339.5318.1–349.2
2076222.9195.4–247.7339.8322.6–350.2
2077225.2198.3–245.9340.3322.1–351
2078225.4197.8–245.9340.2323–351
2079223.4199.3–248.2340.1320.9–351.4
2080223.4201–250.7341.4320.2–351.6
2081224202.5–246.6340.7322.5–351.3
2082224.8201.3–245.9341.6323.9–350.1
2083225202.3–250.5341.7323.3–353
2084227.9204.9–249.9343.3321.3–352.4
2085227.7199.2–251.3344.7322.8–353.5
2086224.9202.3–249.6341.4322.6–352.2
2087227.1197.8–249.7342.5322.4–352.2
2088230.6207.4–255.5342.9322.8–353.6
2089229.7207.4–251.4342.3324.8–353.1
2090228.2210–253.4341.9325.2–352.9
2091231.4206.6–255.4344.3323.4–353.3
2092230.1207.4–253.4344.3324.9–354.2
2093226.7206–255.5343324.8–353.6
2094227.3204.4–251.7343.9326.6–352.8
2095231.1207.7–255.5345.4325.4–354.5
2096229.9206.3–255.5343.7326–355.2
2097226.7208.6–249.5343.5324.6–351.9
2098231.1202.9–259.1344.5326.1–354.4
2099230.2203.1–256.5344.6324.8–353.8
2100230.9208.9–255.1345328.4–353.9

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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

危地马拉与委内瑞拉对比

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