玻利维亚与洪都拉斯对比

玻利维亚与洪都拉斯:热带夜

2014 年热带夜:玻利维亚为 179.5 夜,洪都拉斯为 176.7 夜(CMIP6 气候模型中位数模拟)。 2014 年玻利维亚的数值较高,高出 2.8 夜,是洪都拉斯的 1.02 倍。

每年夜数 · CMIP6

玻利维亚与洪都拉斯:热带夜2014 年热带夜:玻利维亚为 179.5 夜,洪都拉斯为 176.7 夜(CMIP6 气候模型中位数模拟)。 2014 年玻利维亚的数值较高,高出 2.8 夜,是洪都拉斯的 1.02 倍。
玻利维亚洪都拉斯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 2014 年超过洪都拉斯以来,玻利维亚的数值一直更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年玻利维亚为 210.8 夜,洪都拉斯为 279.1 夜。

逐年数据

每年夜数 · CMIP6

年份玻利维亚洪都拉斯
2014179.5176.7
2013176.3181.1
2012177181.4
2011177.2180.5
2010176.7176.9
2009175.9174.4
2008174.1170.5
2007169171.8
2006169.8171
2005170.5171.6
2004175.5174.2
2003170.6170.2
2002173.3169.1
2001172.9168.2
2000169164.8
1999167.3162.2
1998170.7163
1997167.7160.4
1996163.3154.7
1995164.4152.5
1994162.7151.9
1993160.4149
1992155.4145
1991169.7156.7
1990172162.1
1989164.4153.8
1988161.5151.1
1987162.5151.9
1986163.8151.3
1985157.8146.1
1984159.8147.5
1983156.8143.7
1982164.2148.4
1981166.5150.9
1980162.2147.8
1979162.7148.9
1978161.1146
1977161148.6
1976160.1145.5
1975155.5141.8
1974160.5146.8
1973160.5145.1
1972158.8140.4
1971156.7141.1
1970155.1140.6
1969155.7142.2
1968155.9141.9
1967153.3138.4
1966156.7139.9
1965154.2138.1
1964150.7138.4
1963148.4136.8
1962157.9144.2
1961158.7145.5
1960160.3146.1
1959159143.3
1958157.5147.6
1957159.3144.5
1956154.5143.8
1955160.3146.3
1954159.7144
1953157.8143.2
1952159.1143.6
1951157.6145.5
1950158.6143.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份玻利维亚洪都拉斯
2015177.7162.4–194.8186.4151.3–215.3
2016177.1155.9–190.7185.7154.8–211.9
2017179.6164.6–190.9194.4164.9–215.2
2018177.8162.1–196.3190.6168.8–218.5
2019180.1164.5–199.9189161–221
2020180.5162–200.6196.8164.4–223
2021185.6169.2–197.3199.3176.3–226.8
2022184.7165.7–200.5202.9173–227.6
2023181.3166.6–196.7198.1175.2–230.1
2024187.1168.2–202.1204.7177.9–233.2
2025183.5168.8–195.7202.7173.9–230.8
2026182.5164.8–198.1206.8174–235.2
2027182.7165–201.6206.5177.9–235.7
2028186.3169.6–200.3211.3184–238.7
2029192.5175.6–205.4210.3185.4–244.5
2030185.5161.7–204.2208.9176.9–241.7
2031189.2166.2–205.3217.3187.1–246.4
2032189.7173.8–209.6218.9194.5–247.9
2033188.2167.7–204.1213.3188.2–239.7
2034188172.2–207.8211.3186.1–248.7
2035186.7169.1–206.1215.3184.2–248.2
2036190.5173.5–205.2215.5194.1–242.5
2037195.3181.4–208.5226.4202.4–251.6
2038189.2174.7–207.8228.9198.7–256.2
2039192.7175.7–205.5224.4196.6–256.2
2040192.3176.8–204.2225.1201–258
2041193.9179–209225.9203–251.8
2042191.3171.9–207.6229.3200.2–262.8
2043191.2174.4–209.9224.4199–262.5
2044194.5179.1–209.4224.8201.2–262.7
2045194.4180.2–209231206.1–262.3
2046194.8181.4–213236.9204.5–267.7
2047196.5181.4–213.3236.3213.3–269.3
2048200.2184.6–212.8241.2216.7–268.9
2049199.8181.3–214.4244.8213.5–270.7
2050196.3173.9–210.9241.1207.2–277.8
2051198.5184.2–213.3239.9210.5–270.2
2052200.6185.7–214.8245.1215.7–271.2
2053198182.1–211240.8211.7–277.5
2054195.9179.8–211243.9220.4–286.6
2055201.2187.1–215248.1220.1–282.1
2056201.3181.5–216.1245.6213.1–279
2057200.6184.3–214.4249.4214.2–279.1
2058200.8182.8–216.5248.4217.2–289.1
2059203.2186.1–215.8252.6220.5–283.1
2060203.4186.2–219.7256.8225.2–289.4
2061197.9184–216.3254.5220.4–285.9
2062201.4186.2–219.1252.8217.4–291.1
2063201.5184.9–217258.7226.2–288
2064200.5184.6–216.1252.1224.1–285.7
2065204.9187.3–218.4258.1226.9–288.9
2066203.3186.8–218.1256.4227.7–287.4
2067203.6187.7–215.6258.3228.2–294.9
2068204.4188–218264.6231.2–295
2069203.8184.5–219258.1229.3–292
2070205.1188.3–221.4256.9225.3–297.9
2071203186.9–214.6261.9231–292.9
2072206186.6–221.5267.3235.2–300.4
2073206.5193.2–220.7268.1233.7–304.7
2074204.5184.1–219.5263.7234.2–295.9
2075203.8185.8–217.9262.1229.5–295.4
2076206.5190.1–220.4266.8231.8–298.5
2077209.1185.4–221.4268.6232.1–298.8
2078208.1192.7–222.9270.1236.8–299.6
2079204.7186.2–218.6265.3229.5–304.2
2080208.7192.4–221.1268.4230.2–304.2
2081208.1190.7–221.1268231.9–300.8
2082208.2189.7–220.1267.4230.2–301.8
2083209.3192.8–222.6268.3236.2–307.4
2084208.2193.3–223.1273.9235.2–307.1
2085210.4194–225276.4234.2–305.9
2086210.4189.7–225.4267.9238.8–305.2
2087207.9193.8–222270.4233.7–301.8
2088210.3193.4–225.2277239.9–310.2
2089208.2191.3–222.9275.4246–309.8
2090209.7195.5–225.2275.3244.1–307
2091209.7192.5–227.1281.9240.6–310.6
2092209.8192.1–223.9277.1245.6–312.3
2093209.4195.7–222.1272.8244.2–311.6
2094208.9194.6–222.7274.9245.2–308.4
2095210.3191.2–225.3280.8244.6–313.5
2096211.6193.9–225275.2245.8–313.5
2097208.6189.8–220.3276247.2–305.4
2098211.7196.2–226.5278.9238.9–313.4
2099211.2195.3–224280.8240.6–312.8
2100210.8195.8–226.8279.1248.3–309.6

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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。

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

玻利维亚与洪都拉斯对比

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