哥伦比亚与泰国对比

哥伦比亚与泰国：热带夜

2014 年热带夜：哥伦比亚为 279.9 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 6.5 夜，是哥伦比亚的 1.02 倍。

在地图上查看其变化

每年夜数 · CMIP6

哥伦比亚与泰国：热带夜2014 年热带夜：哥伦比亚为 279.9 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 6.5 夜，是哥伦比亚的 1.02 倍。
哥伦比亚泰国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，泰国的数值都更高。
  • 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，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份哥伦比亚泰国
2014279.9286.4
2013279.8289.1
2012280.7286.6
2011280286.4
2010279.1286
2009279.3286.9
2008278.4284.8
2007277.3283.2
2006277.5284.3
2005277.7281.7
2004278.2287.5
2003277.5279.3
2002277.3280
2001278285.5
2000276.2283.4
1999274.6282.5
1998275.2282.7
1997274.4284.8
1996271.2279.8
1995271.3278.7
1994270.4280.8
1993268275.6
1992264.7268.8
1991273.9276.7
1990275.6279.2
1989271.9278.4
1988270.3279.6
1987271.8277.9
1986271.4277.5
1985268.4276
1984268.2277.9
1983265.1273.9
1982269.2275.7
1981272.1277.8
1980270.2277.9
1979269.3278
1978268.3276
1977269.6277.3
1976266.1275.6
1975261.6274.4
1974266.6276
1973269.9280.6
1972266.6273.9
1971265.7273.2
1970265.4276
1969266274.8
1968264.6277
1967261.7270.3
1966263.7274.4
1965263.2275.8
1964260.3271.9
1963254.8274.7
1962266.7275.4
1961267278.5
1960268.6276.2
1959265.5274.4
1958268278.7
1957267.4277.4
1956263.3277
1955267.7274.6
1954267.2275
1953267.9275.4
1952268.1275.1
1951267.2277.5
1950266.5276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份哥伦比亚泰国
2015280.4265.9–286.4290.6272.2–305
2016279.9267.9–285.6287.1269.8–306.2
2017281.7270.6–286.3290273.8–302.8
2018281.5271.8–286.3292.6275.1–308.7
2019281.1269.5–286.9291.2272.8–306.7
2020282.1270.6–287.9292.4272.2–307.8
2021283.2273.9–287.8294.2276.3–308.5
2022283.7273.6–288.5294.8277.2–311.9
2023282.6274.2–288.8296.1281.9–310.2
2024284.7274.7–289.8291.7275.5–307.8
2025283.5273.3–289.7294276.7–306.3
2026283.4272.7–289.7296278–309.3
2027283.9273.4–289.2295.8276.3–311.1
2028285275.1–290.7297279.3–315.1
2029285.8276–290.3300.3278.7–315
2030284.2273.4–289.8297.7280.2–312.5
2031285.8274.8–291.2300.8282.8–317.1
2032286.7278.3–292.6297.2280.9–311.4
2033285.7274.7–290.3300281.9–315.8
2034285275.8–292.8300.8279–318.4
2035285.9277.3–292298.6281.5–317.8
2036286276.9–291.6300.4279.9–316.9
2037287.5279.3–291.9299.8280–315.1
2038288279.7–292.4304.8286.6–319.3
2039287.6278.8–292.7300.9281.9–317
2040287.6279.3–294.5301.6284.5–315.7
2041288.2279.9–292.7303.1285.1–318.8
2042288.2278.3–295303.8290–318.3
2043287.7277.7–293.4302285.8–317.9
2044287.8278.5–295.1304.3286.3–318.8
2045288.8280.5–293.9307.1287.7–324.2
2046290.4281–295.5305.9285.2–321
2047289.9280.6–294.6306.6289.5–321.5
2048290.7281.4–296.8309.4288.9–325.7
2049290.9282–295.3308.1287.2–324.1
2050290.1280.8–296307.5291–321.5
2051290.6280.9–295.7312.8294.8–326
2052290.9281.9–296.7310.9291.2–323.4
2053290.5280.8–296.3308.3289.5–323.3
2054290.8281.3–297.2308.8292.8–322.3
2055291.1282.6–298308.6290.6–325.1
2056291.5281.5–298.6311.3294.9–326.3
2057291.5281.2–297.3308.5286.7–326.4
2058291.8281.7–298.9308291.1–325.1
2059292.8282–299.2312.7295.8–325.3
2060293.2283–300.1313.1294.6–328.6
2061292.2281.9–298.7314.4289.5–331.1
2062292.6282.4–299.7311.4293.4–330.3
2063293.6282.3–298.6314.8296.9–327.3
2064292.7282.9–299.1312.5295.4–330
2065293.8283.6–299.4309.6293.1–329.3
2066293.1283.4–299.8312.1292.6–328
2067292.9281.8–299.6311.2289.6–329.4
2068294.2282.5–300.6310.8292.4–330.6
2069292.9282.4–300315.5296.1–329.5
2070292.9282.8–300.8314.2292.9–330.7
2071294.2282.8–301.5313.8296.4–330.8
2072294.9285.1–301.9314.8296–329.6
2073294.9285.5–302.2316.5299.9–332.1
2074293.9283.3–300.3317.2295–333.8
2075294.1283.2–300.6317.2295.3–331.4
2076294.9284.6–302317.4299.8–335
2077295.3284.3–301.9317.5297.3–335.9
2078294.4285–302315.9297.1–331.6
2079294.8283.7–301.8318.5300.5–332.3
2080295.1283.4–302.8319.8297.4–337.5
2081295.1284.8–302.6317.7299.5–334.9
2082295.1284.9–301.3317.9294.8–333
2083295.4284.5–304.6315297.8–332.9
2084296285.1–304.4316295.5–330
2085296.6285–305322.6300.8–334.7
2086295.6284.8–303.6319.4295.2–335.2
2087295.3284.1–303.4320.2302.2–334.7
2088295.9284.5–305.5321.4299.8–334.8
2089295.6285–304.5318.9296.4–338.1
2090295.7285.8–304.6317.6304–337.4
2091297285–304.9320.1299.8–336.1
2092296.8286–305.7316.3298–336.4
2093296.3285.6–305.3316.1297.7–333.7
2094296.4285.8–305323.4301.8–337.3
2095297.9285.6–304.9322.9302.4–338.9
2096296285.9–307.5319.6302.8–336.7
2097296.5284.8–303.4319.8299.1–336
2098296.6286–307.3320.5303.9–336
2099297284.6–305.4319.9303.1–334.4
2100297.4286.5–305.2320.8301.1–336.7

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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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