洪都拉斯与尼加拉瓜对比

洪都拉斯与尼加拉瓜:热带夜

2014 年热带夜:洪都拉斯为 176.7 夜,尼加拉瓜为 321.6 夜(CMIP6 气候模型中位数模拟)。 2014 年尼加拉瓜的数值较高,高出 144.9 夜,是洪都拉斯的 1.82 倍。

每年夜数 · CMIP6

洪都拉斯与尼加拉瓜:热带夜2014 年热带夜:洪都拉斯为 176.7 夜,尼加拉瓜为 321.6 夜(CMIP6 气候模型中位数模拟)。 2014 年尼加拉瓜的数值较高,高出 144.9 夜,是洪都拉斯的 1.82 倍。
洪都拉斯尼加拉瓜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,尼加拉瓜的数值都更高。
  • 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,尼加拉瓜为 355 夜。

逐年数据

每年夜数 · CMIP6

年份洪都拉斯尼加拉瓜
2014176.7321.6
2013181.1325.1
2012181.4324
2011180.5322.7
2010176.9320.5
2009174.4320.4
2008170.5318.3
2007171.8318.7
2006171317.9
2005171.6319.8
2004174.2319.9
2003170.2317.3
2002169.1317.8
2001168.2316.4
2000164.8313.7
1999162.2313.4
1998163312.5
1997160.4311.5
1996154.7308.3
1995152.5304.6
1994151.9303.8
1993149300.4
1992145299.4
1991156.7308.6
1990162.1312.1
1989153.8305.9
1988151.1305.5
1987151.9303.9
1986151.3302.4
1985146.1300.9
1984147.5300.6
1983143.7296.4
1982148.4301.4
1981150.9302.8
1980147.8302
1979148.9301.8
1978146300.2
1977148.6302
1976145.5299.6
1975141.8295.6
1974146.8299.5
1973145.1297.9
1972140.4294.9
1971141.1295.7
1970140.6295.5
1969142.2295.4
1968141.9294.2
1967138.4293.6
1966139.9293.3
1965138.1293.6
1964138.4294.4
1963136.8292.3
1962144.2298
1961145.5300.1
1960146.1300.7
1959143.3298.6
1958147.6300.4
1957144.5298.1
1956143.8297
1955146.3300.3
1954144298.4
1953143.2297.3
1952143.6295.8
1951145.5298.4
1950143.7298.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份洪都拉斯尼加拉瓜
2015186.4151.3–215.3325.7302.1–339
2016185.7154.8–211.9326.3307.9–339.5
2017194.4164.9–215.2329.3310.6–338.7
2018190.6168.8–218.5328.3313.7–341.7
2019189161–221327.5311.7–340.6
2020196.8164.4–223330.1313.4–341.5
2021199.3176.3–226.8331.8317.7–341.1
2022202.9173–227.6333.5315.6–343.8
2023198.1175.2–230.1332.4318.1–344.3
2024204.7177.9–233.2333.9319–345
2025202.7173.9–230.8334.3317.5–344.3
2026206.8174–235.2335.3316.9–345
2027206.5177.9–235.7336320.5–345.7
2028211.3184–238.7337324.4–347.1
2029210.3185.4–244.5336.9324.5–347.4
2030208.9176.9–241.7336.3321.5–348.3
2031217.3187.1–246.4340322.4–348.6
2032218.9194.5–247.9340.3328.3–349.7
2033213.3188.2–239.7338.8327.3–347
2034211.3186.1–248.7336.4324.3–348.9
2035215.3184.2–248.2339324.5–348.4
2036215.5194.1–242.5339.2328–348.3
2037226.4202.4–251.6341.4331.3–350.6
2038228.9198.7–256.2343.3330.8–350.8
2039224.4196.6–256.2341.9329.9–350.1
2040225.1201–258342.5330.5–350.9
2041225.9203–251.8343332.6–351.3
2042229.3200.2–262.8343.4330.9–352.1
2043224.4199–262.5342.4328.9–350
2044224.8201.2–262.7342.9330.8–352.4
2045231206.1–262.3344.2331.8–351.9
2046236.9204.5–267.7345.5331.9–352.8
2047236.3213.3–269.3345.9334.6–353
2048241.2216.7–268.9346.6335.8–354.5
2049244.8213.5–270.7349.1336.1–354.9
2050241.1207.2–277.8346.7334.8–354.9
2051239.9210.5–270.2346.5335.4–353.7
2052245.1215.7–271.2347.9336.3–354.4
2053240.8211.7–277.5347.5333.3–355.1
2054243.9220.4–286.6348.3337.8–356.1
2055248.1220.1–282.1348.4337.8–356.4
2056245.6213.1–279348.6335.3–355.7
2057249.4214.2–279.1348.9336.5–355.9
2058248.4217.2–289.1350336.9–356.1
2059252.6220.5–283.1350.3338–356.2
2060256.8225.2–289.4350.7338.9–357
2061254.5220.4–285.9350.5338–355.9
2062252.8217.4–291.1350.3338.2–357.4
2063258.7226.2–288351338.9–358.5
2064252.1224.1–285.7349.9338.3–357.7
2065258.1226.9–288.9350.4339.8–356.5
2066256.4227.7–287.4351.1339.8–356.3
2067258.3228.2–294.9351.6340.9–358.6
2068264.6231.2–295353.1341.7–359.6
2069258.1229.3–292351.4341.7–358.3
2070256.9225.3–297.9351339.8–358.8
2071261.9231–292.9352.3340.5–358.1
2072267.3235.2–300.4353.4340.6–359.8
2073268.1233.7–304.7352.8340.6–359.8
2074263.7234.2–295.9353.2341.6–358.6
2075262.1229.5–295.4351.9341.9–358.9
2076266.8231.8–298.5353.8342–360.1
2077268.6232.1–298.8353.7342.6–359.8
2078270.1236.8–299.6353.5342.7–360
2079265.3229.5–304.2351.9340.7–360.2
2080268.4230.2–304.2353.2342–360.8
2081268231.9–300.8353343.1–359.8
2082267.4230.2–301.8354341.9–359.9
2083268.3236.2–307.4353.1342.6–359.8
2084273.9235.2–307.1355341.6–361
2085276.4234.2–305.9355.1343.8–360.3
2086267.9238.8–305.2353.8343.8–359.9
2087270.4233.7–301.8354.9341.4–359.6
2088277239.9–310.2355.8343.3–361.3
2089275.4246–309.8355.7344.7–360.4
2090275.3244.1–307355.1343.5–360.8
2091281.9240.6–310.6355.9342.8–361.1
2092277.1245.6–312.3355.1344.7–362
2093272.8244.2–311.6354.3343.3–361.1
2094274.9245.2–308.4355344.4–361.1
2095280.8244.6–313.5355.8345.5–360.7
2096275.2245.8–313.5355.4343.5–362
2097276247.2–305.4354.9346–360.6
2098278.9238.9–313.4355.6343–361
2099280.8240.6–312.8355.9342.4–361.8
2100279.1248.3–309.6355345.3–360.4

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

洪都拉斯与尼加拉瓜对比

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