沙特阿拉伯与泰国对比

沙特阿拉伯与泰国：热带夜

2014 年热带夜：沙特阿拉伯为 181.5 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 104.9 夜，是沙特阿拉伯的 1.58 倍。

在地图上查看其变化

每年夜数 · CMIP6

沙特阿拉伯与泰国：热带夜2014 年热带夜：沙特阿拉伯为 181.5 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 104.9 夜，是沙特阿拉伯的 1.58 倍。
沙特阿拉伯泰国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 年沙特阿拉伯为 218.7 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份沙特阿拉伯泰国
2014181.5286.4
2013180.4289.1
2012182.8286.6
2011182.7286.4
2010179.2286
2009177.1286.9
2008180.3284.8
2007178.9283.2
2006177.5284.3
2005177.9281.7
2004177.6287.5
2003177.4279.3
2002175.6280
2001178.1285.5
2000176.4283.4
1999173.2282.5
1998173.4282.7
1997173.8284.8
1996172279.8
1995169.2278.7
1994170.4280.8
1993164.6275.6
1992165.9268.8
1991169.2276.7
1990172.7279.2
1989168.9278.4
1988166.8279.6
1987167.3277.9
1986169.4277.5
1985166276
1984165277.9
1983163.5273.9
1982164.7275.7
1981168.9277.8
1980166.8277.9
1979165.3278
1978164.8276
1977165.6277.3
1976165.9275.6
1975161.2274.4
1974162.9276
1973163.7280.6
1972163.7273.9
1971160.4273.2
1970162.5276
1969161.3274.8
1968162.7277
1967159.5270.3
1966159.5274.4
1965159.5275.8
1964159.9271.9
1963160.2274.7
1962163.2275.4
1961163.7278.5
1960165.7276.2
1959164.4274.4
1958164.1278.7
1957165.5277.4
1956163.6277
1955162274.6
1954161.2275
1953162.5275.4
1952163.4275.1
1951161.2277.5
1950161.6276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份沙特阿拉伯泰国
2015184.9169.4–198.7290.6272.2–305
2016183167.7–195.7287.1269.8–306.2
2017182.6168.1–196.7290273.8–302.8
2018186.8173.1–199.4292.6275.1–308.7
2019184.1168.8–199.1291.2272.8–306.7
2020185.3171.8–198.9292.4272.2–307.8
2021188.6173.6–202.8294.2276.3–308.5
2022187.6170.7–202294.8277.2–311.9
2023188.6173–203.8296.1281.9–310.2
2024187.1172.9–203.9291.7275.5–307.8
2025191.5176–206.1294276.7–306.3
2026191.8177.1–205.5296278–309.3
2027191.2176.6–206.8295.8276.3–311.1
2028191.9175.5–205.1297279.3–315.1
2029192.2176.6–205.7300.3278.7–315
2030193.3178.4–206.3297.7280.2–312.5
2031194.7179.1–207.6300.8282.8–317.1
2032192.2175.2–206297.2280.9–311.4
2033192.6177.5–206.9300281.9–315.8
2034196.7181.6–213300.8279–318.4
2035196.5179.9–211.6298.6281.5–317.8
2036194.1180–209.7300.4279.9–316.9
2037197183.7–209.9299.8280–315.1
2038198.4182.3–213.3304.8286.6–319.3
2039198184.4–213.6300.9281.9–317
2040199.2182.1–212.7301.6284.5–315.7
2041197.7181.4–211.7303.1285.1–318.8
2042198.3181.2–217303.8290–318.3
2043198.2182.3–215.3302285.8–317.9
2044199.2185.5–213.5304.3286.3–318.8
2045202187.1–216.8307.1287.7–324.2
2046204.1185.3–219.4305.9285.2–321
2047204.1187.4–220306.6289.5–321.5
2048206.1190.7–220309.4288.9–325.7
2049201.6187.7–216.2308.1287.2–324.1
2050205.7190.2–219.3307.5291–321.5
2051204.3188.8–222.1312.8294.8–326
2052203.8189.6–218310.9291.2–323.4
2053203.8186.3–218.8308.3289.5–323.3
2054207.6188.3–222.3308.8292.8–322.3
2055207.8190.8–221308.6290.6–325.1
2056203.7186.6–220.1311.3294.9–326.3
2057207.5188.8–224.2308.5286.7–326.4
2058205.9189.2–221.4308291.1–325.1
2059207.3191.6–226.9312.7295.8–325.3
2060206.9192.7–222.8313.1294.6–328.6
2061206.5190.4–220.9314.4289.5–331.1
2062208.1189.4–228.3311.4293.4–330.3
2063210.4193–227.1314.8296.9–327.3
2064207.5191.9–223.3312.5295.4–330
2065208.9193.9–226.1309.6293.1–329.3
2066210.3194.9–228312.1292.6–328
2067210.9193.1–228.6311.2289.6–329.4
2068209.8194.6–228.6310.8292.4–330.6
2069208.9194.5–226.3315.5296.1–329.5
2070211.2191.2–229314.2292.9–330.7
2071215.1196.3–233.3313.8296.4–330.8
2072213.6195.3–229.3314.8296–329.6
2073213.7194.1–231.6316.5299.9–332.1
2074210.5191.9–229.3317.2295–333.8
2075212.1196.6–231.8317.2295.3–331.4
2076212.8194.8–230.3317.4299.8–335
2077215.1196.6–233.9317.5297.3–335.9
2078215.5197.6–230.7315.9297.1–331.6
2079213.6197–229318.5300.5–332.3
2080213.6197.1–233.9319.8297.4–337.5
2081214.7194.4–231.6317.7299.5–334.9
2082214198.9–230.9317.9294.8–333
2083214.2198.5–238315297.8–332.9
2084217.4197.4–233.1316295.5–330
2085217.4199.6–237.9322.6300.8–334.7
2086217197.4–237.4319.4295.2–335.2
2087217.3199.7–238.7320.2302.2–334.7
2088216.1198.2–243.1321.4299.8–334.8
2089217.6199.5–239318.9296.4–338.1
2090217.3198.5–239.2317.6304–337.4
2091218.5202.8–238.4320.1299.8–336.1
2092218.5198.5–241.6316.3298–336.4
2093216.6197.8–236.3316.1297.7–333.7
2094218.8202–236.9323.4301.8–337.3
2095219.4204.2–237.4322.9302.4–338.9
2096219.9197.7–239.6319.6302.8–336.7
2097216.7196.8–239.7319.8299.1–336
2098219.7199.6–241.3320.5303.9–336
2099216.8200.8–236.8319.9303.1–334.4
2100218.7202.3–241320.8301.1–336.7

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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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