埃及与泰国对比

埃及与泰国：热带夜

2014 年热带夜：埃及为 145 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 141.4 夜，是埃及的 1.98 倍。

在地图上查看其变化

每年夜数 · CMIP6

埃及与泰国：热带夜2014 年热带夜：埃及为 145 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 141.4 夜，是埃及的 1.98 倍。
埃及泰国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 年埃及为 183.4 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份埃及泰国
2014145286.4
2013145289.1
2012145.1286.6
2011144.7286.4
2010143.5286
2009140.2286.9
2008142.6284.8
2007140.5283.2
2006139.6284.3
2005140281.7
2004141.3287.5
2003141279.3
2002137.7280
2001139285.5
2000134.8283.4
1999135.5282.5
1998133282.7
1997134284.8
1996132.1279.8
1995130.2278.7
1994129.8280.8
1993123.6275.6
1992126.1268.8
1991129.7276.7
1990129.7279.2
1989126278.4
1988124.3279.6
1987125.8277.9
1986128.9277.5
1985125.7276
1984119.4277.9
1983119.4273.9
1982120.7275.7
1981122.6277.8
1980124.9277.9
1979119.2278
1978122.6276
1977121.3277.3
1976123.2275.6
1975121.9274.4
1974123.1276
1973123.5280.6
1972120.1273.9
1971120.7273.2
1970119.7276
1969118.3274.8
1968119.4277
1967116.2270.3
1966116.1274.4
1965112.9275.8
1964116.4271.9
1963120.2274.7
1962118.9275.4
1961118.7278.5
1960123.6276.2
1959123.2274.4
1958120.7278.7
1957122.4277.4
1956122.7277
1955119.4274.6
1954120.8275
1953121.3275.4
1952120.7275.1
1951121.2277.5
1950118.8276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份埃及泰国
2015149.6131.4–164.2290.6272.2–305
2016147.7133.5–160.2287.1269.8–306.2
2017150.8134.8–163.2290273.8–302.8
2018147.4133.4–165.6292.6275.1–308.7
2019149.6132.7–164291.2272.8–306.7
2020150.8136.4–164.7292.4272.2–307.8
2021152.1137.8–168.1294.2276.3–308.5
2022154138.1–170.6294.8277.2–311.9
2023154.4139–168.4296.1281.9–310.2
2024155.8141.7–168.5291.7275.5–307.8
2025154.5139.6–168.1294276.7–306.3
2026155.1144.5–165.9296278–309.3
2027154.2139.5–166.3295.8276.3–311.1
2028154.5141.8–168.6297279.3–315.1
2029156.3139.9–169.5300.3278.7–315
2030156.3143.1–169.1297.7280.2–312.5
2031155.5141.5–171.2300.8282.8–317.1
2032158.3144.6–170.4297.2280.9–311.4
2033159.9143.8–172.9300281.9–315.8
2034159.8144.9–173.2300.8279–318.4
2035163.5146.6–175.8298.6281.5–317.8
2036156.2143.7–170.6300.4279.9–316.9
2037158.8142.9–173.8299.8280–315.1
2038164.9146.1–177.8304.8286.6–319.3
2039161.8146.1–180.1300.9281.9–317
2040161.6147.9–176.5301.6284.5–315.7
2041163.7149.4–177.3303.1285.1–318.8
2042166.5149.7–180.6303.8290–318.3
2043163.6150.3–176.8302285.8–317.9
2044162.2147–178304.3286.3–318.8
2045167.2152.5–181307.1287.7–324.2
2046166149–181.1305.9285.2–321
2047165.9151.8–181.5306.6289.5–321.5
2048167.2154.5–180.1309.4288.9–325.7
2049165.3148.7–177.9308.1287.2–324.1
2050170152.8–183307.5291–321.5
2051165.6152.7–179.5312.8294.8–326
2052167.3156–180.2310.9291.2–323.4
2053170.1153.6–183.8308.3289.5–323.3
2054169153.3–183308.8292.8–322.3
2055170.5153.5–183.3308.6290.6–325.1
2056168.3151.2–181.4311.3294.9–326.3
2057166.8150.7–185.3308.5286.7–326.4
2058171.8154.2–188.2308291.1–325.1
2059173.3157.8–188.6312.7295.8–325.3
2060170.5154.8–189.3313.1294.6–328.6
2061170.3155.1–184.6314.4289.5–331.1
2062172.1155.2–185.7311.4293.4–330.3
2063169.7152.8–182.6314.8296.9–327.3
2064172.3155.9–187.2312.5295.4–330
2065173.3159.7–189.9309.6293.1–329.3
2066170155–187.7312.1292.6–328
2067176.2161.5–190311.2289.6–329.4
2068174.6157.3–193.1310.8292.4–330.6
2069175.8158.8–191.7315.5296.1–329.5
2070173.3158.3–191.7314.2292.9–330.7
2071176.8158.1–194.7313.8296.4–330.8
2072177.6160.8–192.1314.8296–329.6
2073176159.2–189.3316.5299.9–332.1
2074171.9156.5–194.1317.2295–333.8
2075171.8157–191.9317.2295.3–331.4
2076177161–194.6317.4299.8–335
2077179.7157–194.1317.5297.3–335.9
2078178.4161–195315.9297.1–331.6
2079178.2160.2–193.7318.5300.5–332.3
2080178.5163–193.3319.8297.4–337.5
2081177.2160–192.8317.7299.5–334.9
2082178.8164.5–193.3317.9294.8–333
2083180.6164.4–195.7315297.8–332.9
2084181.4162.4–197.8316295.5–330
2085178.8163–196.7322.6300.8–334.7
2086181.9166.6–198.8319.4295.2–335.2
2087178156.4–194.3320.2302.2–334.7
2088177.8163.5–196321.4299.8–334.8
2089180.9163.5–198.9318.9296.4–338.1
2090179.9162.4–197.8317.6304–337.4
2091184.2165.1–198.9320.1299.8–336.1
2092180.3162.9–196.3316.3298–336.4
2093181.1166.1–198.2316.1297.7–333.7
2094185.4168–198.9323.4301.8–337.3
2095181.9165.5–197.3322.9302.4–338.9
2096183.1163.5–200.3319.6302.8–336.7
2097181.5165.4–198.9319.8299.1–336
2098181.7162.1–198.8320.5303.9–336
2099179.9164.2–197.8319.9303.1–334.4
2100183.4162.9–198.1320.8301.1–336.7

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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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