埃塞俄比亚与泰国对比

埃塞俄比亚与泰国：热带夜

2014 年热带夜：埃塞俄比亚为 144.9 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 141.5 夜，是埃塞俄比亚的 1.98 倍。

在地图上查看其变化

每年夜数 · CMIP6

埃塞俄比亚与泰国：热带夜2014 年热带夜：埃塞俄比亚为 144.9 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 141.5 夜，是埃塞俄比亚的 1.98 倍。
埃塞俄比亚泰国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 年埃塞俄比亚为 201.7 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份埃塞俄比亚泰国
2014144.9286.4
2013145.1289.1
2012144.4286.6
2011145.6286.4
2010142.4286
2009140.3286.9
2008137.1284.8
2007138.2283.2
2006138.7284.3
2005138.1281.7
2004139.1287.5
2003138.8279.3
2002137.4280
2001139.2285.5
2000135.5283.4
1999132.6282.5
1998132.9282.7
1997132.7284.8
1996129.7279.8
1995127.8278.7
1994126.3280.8
1993122.5275.6
1992119.7268.8
1991129.5276.7
1990132.7279.2
1989129.4278.4
1988128.2279.6
1987126.4277.9
1986128.1277.5
1985122.8276
1984124.8277.9
1983120.6273.9
1982126.3275.7
1981127277.8
1980124.9277.9
1979125.1278
1978124.7276
1977125.8277.3
1976122275.6
1975119.5274.4
1974124276
1973125.2280.6
1972122.3273.9
1971120.6273.2
1970121.3276
1969120.4274.8
1968119.1277
1967118.1270.3
1966119.5274.4
1965117.4275.8
1964116.6271.9
1963115.7274.7
1962121.6275.4
1961124.2278.5
1960124.5276.2
1959121.6274.4
1958124.1278.7
1957123.2277.4
1956120.9277
1955122.8274.6
1954121.6275
1953121.2275.4
1952122.8275.1
1951123277.5
1950122276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份埃塞俄比亚泰国
2015146.6129.4–163.9290.6272.2–305
2016144.1127–160.6287.1269.8–306.2
2017148.3129.2–164.9290273.8–302.8
2018149.6131.6–166292.6275.1–308.7
2019146.2129.3–166291.2272.8–306.7
2020149.4129.6–168.5292.4272.2–307.8
2021150.7132.1–170294.2276.3–308.5
2022154135.7–171.2294.8277.2–311.9
2023153.5135.4–171.4296.1281.9–310.2
2024156.5135.9–175.6291.7275.5–307.8
2025154132.6–175.5294276.7–306.3
2026153132–175296278–309.3
2027154.2134.4–175.3295.8276.3–311.1
2028157.5138.3–177.4297279.3–315.1
2029159.2141.8–176.8300.3278.7–315
2030156.8136.3–175.7297.7280.2–312.5
2031161.4142.4–179.1300.8282.8–317.1
2032161.7143.1–182.5297.2280.9–311.4
2033161.8140–180.9300281.9–315.8
2034158.8141.5–184.3300.8279–318.4
2035162141.7–184.2298.6281.5–317.8
2036160.5143.6–179.4300.4279.9–316.9
2037165145.8–184.5299.8280–315.1
2038167.1146.5–186.7304.8286.6–319.3
2039164.5143.9–186300.9281.9–317
2040165.9146.2–190.1301.6284.5–315.7
2041167.9146.3–189.3303.1285.1–318.8
2042167.7146–194.3303.8290–318.3
2043167.3145.5–190.8302285.8–317.9
2044168.2148.2–189.9304.3286.3–318.8
2045170.7149.1–192.3307.1287.7–324.2
2046175.3150–198.6305.9285.2–321
2047176.9151.8–197.5306.6289.5–321.5
2048177.5155.4–199.1309.4288.9–325.7
2049177.5157.9–198.4308.1287.2–324.1
2050176.4153.8–199307.5291–321.5
2051176.6155.3–199.7312.8294.8–326
2052177155.6–200.7310.9291.2–323.4
2053176.7154.2–201.6308.3289.5–323.3
2054177.6156.9–201.1308.8292.8–322.3
2055180.6155.2–202.3308.6290.6–325.1
2056177.3155–205.4311.3294.9–326.3
2057180.3159.3–205.5308.5286.7–326.4
2058182.6153.7–209.4308291.1–325.1
2059185.7160.1–210.6312.7295.8–325.3
2060185.9160.3–210.4313.1294.6–328.6
2061183.3158.3–211.7314.4289.5–331.1
2062183.8155.4–213311.4293.4–330.3
2063184.5159.1–208.6314.8296.9–327.3
2064186.7160.6–207.2312.5295.4–330
2065183.7162.4–212.9309.6293.1–329.3
2066187.1165.4–210.1312.1292.6–328
2067187.1160.7–214.5311.2289.6–329.4
2068187.6160.4–215.8310.8292.4–330.6
2069187.8165.4–215.8315.5296.1–329.5
2070187.9161.6–216.9314.2292.9–330.7
2071192.7165.2–219.5313.8296.4–330.8
2072193.6167.4–214.5314.8296–329.6
2073193.3169.7–218.7316.5299.9–332.1
2074188.5163.9–219317.2295–333.8
2075191.9162.7–218.6317.2295.3–331.4
2076195166.9–218.9317.4299.8–335
2077194.1169.3–223.3317.5297.3–335.9
2078192.1168.4–218.6315.9297.1–331.6
2079193.4166.6–220.9318.5300.5–332.3
2080196.1169.2–222.4319.8297.4–337.5
2081194.6171–221.4317.7299.5–334.9
2082195.4168.8–219.9317.9294.8–333
2083194.6168.2–228.7315297.8–332.9
2084198.5170.7–224.2316295.5–330
2085198.4173.1–226.3322.6300.8–334.7
2086198.6172.3–228.4319.4295.2–335.2
2087199170.6–226.6320.2302.2–334.7
2088199170.7–227.7321.4299.8–334.8
2089198.6171.2–226.2318.9296.4–338.1
2090198.6173.4–227.7317.6304–337.4
2091203.6171.9–232.1320.1299.8–336.1
2092200.7172.5–229.7316.3298–336.4
2093201.4175.2–228.6316.1297.7–333.7
2094200.2174–228.9323.4301.8–337.3
2095203.9175.7–231.9322.9302.4–338.9
2096199.1170.5–230.8319.6302.8–336.7
2097198.4171.8–229.3319.8299.1–336
2098198.7172.1–231.5320.5303.9–336
2099201.8172.8–233.3319.9303.1–334.4
2100201.7175.1–231.8320.8301.1–336.7

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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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