肯尼亚与泰国对比

肯尼亚与泰国：热带夜

2014 年热带夜：肯尼亚为 245.6 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 40.8 夜，是肯尼亚的 1.17 倍。

在地图上查看其变化

每年夜数 · CMIP6

肯尼亚与泰国：热带夜2014 年热带夜：肯尼亚为 245.6 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 40.8 夜，是肯尼亚的 1.17 倍。
肯尼亚泰国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 年肯尼亚为 277 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份肯尼亚泰国
2014245.6286.4
2013245.4289.1
2012244.7286.6
2011245286.4
2010243.8286
2009242.3286.9
2008240.3284.8
2007240.9283.2
2006241.5284.3
2005241.2281.7
2004241.8287.5
2003240.8279.3
2002240.7280
2001242285.5
2000239.5283.4
1999237.8282.5
1998239.2282.7
1997236.9284.8
1996234.2279.8
1995232.9278.7
1994231.9280.8
1993227.4275.6
1992224.8268.8
1991233.8276.7
1990236.4279.2
1989234.5278.4
1988233.1279.6
1987232.6277.9
1986233277.5
1985228.7276
1984230.2277.9
1983226.7273.9
1982230.6275.7
1981232.9277.8
1980231.3277.9
1979229.6278
1978228.7276
1977229.9277.3
1976227.8275.6
1975225.9274.4
1974230.5276
1973230.4280.6
1972228.7273.9
1971226273.2
1970226.3276
1969225.9274.8
1968222.9277
1967224270.3
1966225.2274.4
1965224.2275.8
1964221.8271.9
1963220.2274.7
1962227.2275.4
1961228.3278.5
1960228.8276.2
1959228.3274.4
1958229.1278.7
1957228277.4
1956225.5277
1955228.7274.6
1954227.4275
1953227.6275.4
1952228.5275.1
1951228.3277.5
1950226.3276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份肯尼亚泰国
2015246.9232.3–256.1290.6272.2–305
2016244.9230.1–255287.1269.8–306.2
2017248.1233.1–257.7290273.8–302.8
2018248.7237–257.4292.6275.1–308.7
2019247.1234.8–256.7291.2272.8–306.7
2020248.6233.2–259.2292.4272.2–307.8
2021249.5236.3–258.1294.2276.3–308.5
2022251.5239.7–259.5294.8277.2–311.9
2023251.8239–260.8296.1281.9–310.2
2024254.2239.1–263291.7275.5–307.8
2025251.5238.1–261.8294276.7–306.3
2026252.2237.2–263.3296278–309.3
2027252.8238.4–263.8295.8276.3–311.1
2028254.9241.9–264.2297279.3–315.1
2029256243.4–264.6300.3278.7–315
2030253.6240.6–263.1297.7280.2–312.5
2031256244.7–264.4300.8282.8–317.1
2032257243.8–267.1297.2280.9–311.4
2033256241.8–265.9300281.9–315.8
2034256.2241.2–267.9300.8279–318.4
2035256.7243.3–266.7298.6281.5–317.8
2036256.2242.4–266.7300.4279.9–316.9
2037258.7245.9–268.4299.8280–315.1
2038260.3244.5–268.9304.8286.6–319.3
2039259244.4–268300.9281.9–317
2040258.3246.2–269.8301.6284.5–315.7
2041260.7244.8–271.2303.1285.1–318.8
2042260.3246.5–272.7303.8290–318.3
2043259246.6–270.5302285.8–317.9
2044261.2248.8–270.9304.3286.3–318.8
2045261.8248.7–272.9307.1287.7–324.2
2046264.8249.6–275.3305.9285.2–321
2047264.4249.8–275.3306.6289.5–321.5
2048264.2252.3–274.9309.4288.9–325.7
2049265.2252.8–275.6308.1287.2–324.1
2050263.9249.8–275.1307.5291–321.5
2051265.4252.1–275.1312.8294.8–326
2052266.3252.6–276.2310.9291.2–323.4
2053265.2251–275.4308.3289.5–323.3
2054265.2250.2–277.2308.8292.8–322.3
2055266.8251.6–277.6308.6290.6–325.1
2056266.2251.2–277.8311.3294.9–326.3
2057266.8253–278308.5286.7–326.4
2058266.7251.5–277.9308291.1–325.1
2059269.8254.7–280.5312.7295.8–325.3
2060271.1253.9–280.7313.1294.6–328.6
2061267.5253.9–281.7314.4289.5–331.1
2062268.1254–281.2311.4293.4–330.3
2063268.9255–280.1314.8296.9–327.3
2064270254.1–279.8312.5295.4–330
2065269.4255.8–282.3309.6293.1–329.3
2066270.6258.1–281312.1292.6–328
2067270.7256.1–283311.2289.6–329.4
2068270.2256–283310.8292.4–330.6
2069269.8256.1–283.3315.5296.1–329.5
2070270.1255.8–282.6314.2292.9–330.7
2071271.9257.9–284.4313.8296.4–330.8
2072273.5260.3–283.8314.8296–329.6
2073273.1259.9–285.4316.5299.9–332.1
2074271.9257.5–285.4317.2295–333.8
2075271.1256.5–284.7317.2295.3–331.4
2076274.1258.6–285.8317.4299.8–335
2077273.4259–286.6317.5297.3–335.9
2078273.1260–284.4315.9297.1–331.6
2079273.3258.7–286.6318.5300.5–332.3
2080275.5259.4–286.9319.8297.4–337.5
2081274.7259.8–285.6317.7299.5–334.9
2082274.8261.3–286.4317.9294.8–333
2083274259.6–289.3315297.8–332.9
2084276.8259–288.8316295.5–330
2085276.2261.5–289.1322.6300.8–334.7
2086275.1260–289.1319.4295.2–335.2
2087276.2260.3–288.5320.2302.2–334.7
2088276.8261.6–289.7321.4299.8–334.8
2089275.9260.3–288.8318.9296.4–338.1
2090275.3260.5–290.5317.6304–337.4
2091277.7260.4–290.9320.1299.8–336.1
2092276.2261.2–290.7316.3298–336.4
2093276.9262–290.1316.1297.7–333.7
2094277262.8–288.9323.4301.8–337.3
2095278.4262.3–290.4322.9302.4–338.9
2096277.6260.5–292319.6302.8–336.7
2097277261–290.2319.8299.1–336
2098277.6262.3–291.5320.5303.9–336
2099277.9260.8–292.4319.9303.1–334.4
2100277261.8–290.4320.8301.1–336.7

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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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