伯利兹与危地马拉对比

伯利兹与危地马拉：热带夜

2014 年热带夜：伯利兹为 305.9 夜，危地马拉为 171.5 夜（CMIP6 气候模型中位数模拟）。 2014 年伯利兹的数值较高，高出 134.4 夜，是危地马拉的 1.78 倍。

在地图上查看其变化

每年夜数 · CMIP6

伯利兹与危地马拉：热带夜2014 年热带夜：伯利兹为 305.9 夜，危地马拉为 171.5 夜（CMIP6 气候模型中位数模拟）。 2014 年伯利兹的数值较高，高出 134.4 夜，是危地马拉的 1.78 倍。
伯利兹危地马拉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，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，危地马拉为 230.9 夜。

逐年数据

每年夜数 · CMIP6

年份伯利兹危地马拉
2014305.9171.5
2013311.6175.4
2012306.4171.8
2011306.8173.8
2010305.3171.4
2009304.3169.7
2008302.1167.8
2007302.2167.6
2006302167.2
2005304.3169.2
2004303.6167.4
2003299.6165.8
2002299.1165.7
2001299.3165.3
2000299.5163.6
1999297162
1998297.1162.1
1997296.9160.7
1996292.3157.9
1995288.5153.5
1994290.7155
1993289.4153.5
1992288.9151.7
1991293.9158.2
1990296.2161.9
1989294.2157.5
1988291.6154.2
1987289.2154.7
1986286.8153.1
1985287.4150.7
1984284.9150.3
1983282.5148.1
1982285.7151.3
1981291.4156.7
1980287.7152.3
1979286.9153
1978285149.5
1977284.1150.6
1976287.6151.6
1975283.5147.4
1974284.5150.2
1973284.9149.6
1972282.3148.2
1971279.4145.5
1970278.1145.4
1969282.4146.8
1968281.2146.7
1967277.2142.7
1966280.3145.9
1965278.1143.3
1964277.5143
1963280.2144.6
1962283.5149.5
1961285149.8
1960287.2151.4
1959282.6147.4
1958284.3150.5
1957286.4151.1
1956283.8148.2
1955288.4152.5
1954286.3150.4
1953285.8149.3
1952283150.3
1951286.9151.8
1950284.2148.6
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份伯利兹危地马拉
2015310.2291.1–328.2177158.4–194.6
2016314296.3–330178.5161.5–195.5
2017313.9301.3–327.1182.8166.6–194.9
2018314.9299.7–329.4180.2165–196.4
2019315.8295.7–333.2181.7159.3–199.5
2020316.4295.8–329.4184.1161.8–198.6
2021316.6300.5–331.9184.4168.1–201.1
2022316.4298–328184.6165.7–198.4
2023319.9304.9–336.9186.3171.1–207
2024318.7301–338.1187.1169.9–207.3
2025319.4303.7–332.8187.4169.7–205.6
2026324.1302.2–339.1190.9167.9–211
2027321.6306.8–340.3188.4171.9–210.9
2028324.6308–339.3191.3175.8–208.5
2029323.5306.4–336.5192.7175.6–208.8
2030324.7308.1–337.6191173.3–207.9
2031327.5306.8–339.3193.6175.3–211.4
2032327309.8–342.8196.4178.7–214.8
2033326.5302.7–339.6193.3174.6–208.5
2034324.9307.4–341.4193.5176.2–214.4
2035325.1306.9–339.1193.4177.7–212.8
2036325.9309.3–343.2194.4180.5–212.8
2037329.5306.6–341.4199.1180–216.2
2038332.3315.1–343.1202.6184.8–216.7
2039327.9309.4–343.3199181.6–217.6
2040330.8310.8–343.1200.3182.9–217.9
2041331.1308–343200.7182.1–218.2
2042332.8309.1–344.1201.6180.3–222.1
2043331311.3–348.6201.7182.3–226.4
2044331.9314.8–345.3200.8184.9–222.3
2045333.5318.7–347203.6188.7–225.1
2046329.8310.4–348.8204.5183.3–227.5
2047334.8319.5–348.1207.5190.3–227.5
2048334.6315–348.6208.2188.9–229.4
2049338.1317.9–348.4210.1188.7–227.4
2050339.9315.8–351.4211.4188–230.7
2051338.1320.7–348.1208.1192.7–229.2
2052332.1320.3–349.1207.7193–227.9
2053337.8314.6–351.8209.8186.4–233.2
2054336.4324.5–349.9209.5194.7–233.2
2055337.4323.9–351.1212.4196.2–231.9
2056338.7322.9–352210.9193.3–233.1
2057339.1324.2–350.4213.3193.7–232.4
2058337.8320.9–352.1211.7192.3–238.1
2059339.3316.6–351.6214.5190.4–237.4
2060342.5325.6–352217.4196.4–237.3
2061339.5324.4–352.2213.9193.7–237.1
2062339323.2–350.6216.3194–237.3
2063339.9323.9–354.6217.2197–240.8
2064339.2321.5–352.1214.5196.1–236.1
2065339.4322.2–352.2217.3195.2–238.2
2066341.2321.8–353.5217.9195.2–240
2067341.3323–354.4216.4194.1–241.1
2068343.4326.8–356.5221200.2–243.4
2069345.3328.1–355.2219.9200.5–241.9
2070342.8326.9–355.8219.6199.9–242.6
2071345.1329.4–354.6222.5203.4–243
2072347.7324.9–358.6225.6200.4–247.6
2073343.9325.6–356.7224.4199.9–248.3
2074347.2328.1–357222.5202.2–245.9
2075343.1324.1–355.5220.2198.7–242.6
2076344.4317.6–358.1222.9195.4–247.7
2077344.1324–356225.2198.3–245.9
2078346.6323.7–357.9225.4197.8–245.9
2079344.4327.3–356.8223.4199.3–248.2
2080344.8327.2–359.4223.4201–250.7
2081345.4326.3–355224202.5–246.6
2082345.2329.8–357.4224.8201.3–245.9
2083344.1328–357.1225202.3–250.5
2084346.9331.9–357.4227.9204.9–249.9
2085346.2325.2–357.5227.7199.2–251.3
2086345.1325.5–356.1224.9202.3–249.6
2087348323.8–357.8227.1197.8–249.7
2088351.4330.2–359.6230.6207.4–255.5
2089350.2327.9–358.1229.7207.4–251.4
2090348.6336–359.8228.2210–253.4
2091348.7333.4–359.8231.4206.6–255.4
2092349.5329.8–357.9230.1207.4–253.4
2093346.1331–358.6226.7206–255.5
2094348329.9–357.3227.3204.4–251.7
2095348.9334.1–357.6231.1207.7–255.5
2096348.8330.7–357.5229.9206.3–255.5
2097345333.7–355.7226.7208.6–249.5
2098346.8326.4–359.5231.1202.9–259.1
2099348.4326.5–357.8230.2203.1–256.5
2100349332.1–357.1230.9208.9–255.1

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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

伯利兹与危地马拉对比

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