哥伦比亚与危地马拉对比

哥伦比亚与危地马拉：热带夜

2014 年热带夜：哥伦比亚为 279.9 夜，危地马拉为 171.5 夜（CMIP6 气候模型中位数模拟）。 2014 年哥伦比亚的数值较高，高出 108.4 夜，是危地马拉的 1.63 倍。

在地图上查看其变化

每年夜数 · CMIP6

哥伦比亚与危地马拉：热带夜2014 年热带夜：哥伦比亚为 279.9 夜，危地马拉为 171.5 夜（CMIP6 气候模型中位数模拟）。 2014 年哥伦比亚的数值较高，高出 108.4 夜，是危地马拉的 1.63 倍。
哥伦比亚危地马拉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，哥伦比亚的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年哥伦比亚为 297.4 夜，危地马拉为 230.9 夜。

逐年数据

每年夜数 · CMIP6

年份哥伦比亚危地马拉
2014279.9171.5
2013279.8175.4
2012280.7171.8
2011280173.8
2010279.1171.4
2009279.3169.7
2008278.4167.8
2007277.3167.6
2006277.5167.2
2005277.7169.2
2004278.2167.4
2003277.5165.8
2002277.3165.7
2001278165.3
2000276.2163.6
1999274.6162
1998275.2162.1
1997274.4160.7
1996271.2157.9
1995271.3153.5
1994270.4155
1993268153.5
1992264.7151.7
1991273.9158.2
1990275.6161.9
1989271.9157.5
1988270.3154.2
1987271.8154.7
1986271.4153.1
1985268.4150.7
1984268.2150.3
1983265.1148.1
1982269.2151.3
1981272.1156.7
1980270.2152.3
1979269.3153
1978268.3149.5
1977269.6150.6
1976266.1151.6
1975261.6147.4
1974266.6150.2
1973269.9149.6
1972266.6148.2
1971265.7145.5
1970265.4145.4
1969266146.8
1968264.6146.7
1967261.7142.7
1966263.7145.9
1965263.2143.3
1964260.3143
1963254.8144.6
1962266.7149.5
1961267149.8
1960268.6151.4
1959265.5147.4
1958268150.5
1957267.4151.1
1956263.3148.2
1955267.7152.5
1954267.2150.4
1953267.9149.3
1952268.1150.3
1951267.2151.8
1950266.5148.6
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份哥伦比亚危地马拉
2015280.4265.9–286.4177158.4–194.6
2016279.9267.9–285.6178.5161.5–195.5
2017281.7270.6–286.3182.8166.6–194.9
2018281.5271.8–286.3180.2165–196.4
2019281.1269.5–286.9181.7159.3–199.5
2020282.1270.6–287.9184.1161.8–198.6
2021283.2273.9–287.8184.4168.1–201.1
2022283.7273.6–288.5184.6165.7–198.4
2023282.6274.2–288.8186.3171.1–207
2024284.7274.7–289.8187.1169.9–207.3
2025283.5273.3–289.7187.4169.7–205.6
2026283.4272.7–289.7190.9167.9–211
2027283.9273.4–289.2188.4171.9–210.9
2028285275.1–290.7191.3175.8–208.5
2029285.8276–290.3192.7175.6–208.8
2030284.2273.4–289.8191173.3–207.9
2031285.8274.8–291.2193.6175.3–211.4
2032286.7278.3–292.6196.4178.7–214.8
2033285.7274.7–290.3193.3174.6–208.5
2034285275.8–292.8193.5176.2–214.4
2035285.9277.3–292193.4177.7–212.8
2036286276.9–291.6194.4180.5–212.8
2037287.5279.3–291.9199.1180–216.2
2038288279.7–292.4202.6184.8–216.7
2039287.6278.8–292.7199181.6–217.6
2040287.6279.3–294.5200.3182.9–217.9
2041288.2279.9–292.7200.7182.1–218.2
2042288.2278.3–295201.6180.3–222.1
2043287.7277.7–293.4201.7182.3–226.4
2044287.8278.5–295.1200.8184.9–222.3
2045288.8280.5–293.9203.6188.7–225.1
2046290.4281–295.5204.5183.3–227.5
2047289.9280.6–294.6207.5190.3–227.5
2048290.7281.4–296.8208.2188.9–229.4
2049290.9282–295.3210.1188.7–227.4
2050290.1280.8–296211.4188–230.7
2051290.6280.9–295.7208.1192.7–229.2
2052290.9281.9–296.7207.7193–227.9
2053290.5280.8–296.3209.8186.4–233.2
2054290.8281.3–297.2209.5194.7–233.2
2055291.1282.6–298212.4196.2–231.9
2056291.5281.5–298.6210.9193.3–233.1
2057291.5281.2–297.3213.3193.7–232.4
2058291.8281.7–298.9211.7192.3–238.1
2059292.8282–299.2214.5190.4–237.4
2060293.2283–300.1217.4196.4–237.3
2061292.2281.9–298.7213.9193.7–237.1
2062292.6282.4–299.7216.3194–237.3
2063293.6282.3–298.6217.2197–240.8
2064292.7282.9–299.1214.5196.1–236.1
2065293.8283.6–299.4217.3195.2–238.2
2066293.1283.4–299.8217.9195.2–240
2067292.9281.8–299.6216.4194.1–241.1
2068294.2282.5–300.6221200.2–243.4
2069292.9282.4–300219.9200.5–241.9
2070292.9282.8–300.8219.6199.9–242.6
2071294.2282.8–301.5222.5203.4–243
2072294.9285.1–301.9225.6200.4–247.6
2073294.9285.5–302.2224.4199.9–248.3
2074293.9283.3–300.3222.5202.2–245.9
2075294.1283.2–300.6220.2198.7–242.6
2076294.9284.6–302222.9195.4–247.7
2077295.3284.3–301.9225.2198.3–245.9
2078294.4285–302225.4197.8–245.9
2079294.8283.7–301.8223.4199.3–248.2
2080295.1283.4–302.8223.4201–250.7
2081295.1284.8–302.6224202.5–246.6
2082295.1284.9–301.3224.8201.3–245.9
2083295.4284.5–304.6225202.3–250.5
2084296285.1–304.4227.9204.9–249.9
2085296.6285–305227.7199.2–251.3
2086295.6284.8–303.6224.9202.3–249.6
2087295.3284.1–303.4227.1197.8–249.7
2088295.9284.5–305.5230.6207.4–255.5
2089295.6285–304.5229.7207.4–251.4
2090295.7285.8–304.6228.2210–253.4
2091297285–304.9231.4206.6–255.4
2092296.8286–305.7230.1207.4–253.4
2093296.3285.6–305.3226.7206–255.5
2094296.4285.8–305227.3204.4–251.7
2095297.9285.6–304.9231.1207.7–255.5
2096296285.9–307.5229.9206.3–255.5
2097296.5284.8–303.4226.7208.6–249.5
2098296.6286–307.3231.1202.9–259.1
2099297284.6–305.4230.2203.1–256.5
2100297.4286.5–305.2230.9208.9–255.1

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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。

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