老挝与泰国对比

老挝与泰国：热带夜

2014 年热带夜：老挝为 192.8 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 93.6 夜，是老挝的 1.49 倍。

在地图上查看其变化

每年夜数 · CMIP6

老挝与泰国：热带夜2014 年热带夜：老挝为 192.8 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 93.6 夜，是老挝的 1.49 倍。
老挝泰国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 年老挝为 246.3 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份老挝泰国
2014192.8286.4
2013195.1289.1
2012191.6286.6
2011193286.4
2010190.7286
2009189.1286.9
2008188.6284.8
2007185.3283.2
2006188.6284.3
2005186.1281.7
2004191.4287.5
2003183.8279.3
2002184.7280
2001190.3285.5
2000185.1283.4
1999183.9282.5
1998184.9282.7
1997184.9284.8
1996177.4279.8
1995176.6278.7
1994179.4280.8
1993170.4275.6
1992165.3268.8
1991178.5276.7
1990181.2279.2
1989176.1278.4
1988178.1279.6
1987177.3277.9
1986176.9277.5
1985172.3276
1984175.7277.9
1983166.9273.9
1982173.8275.7
1981174.1277.8
1980175.3277.9
1979174.1278
1978170.7276
1977172.6277.3
1976169.8275.6
1975169.3274.4
1974171.2276
1973177.3280.6
1972169.3273.9
1971168.6273.2
1970169.4276
1969171.8274.8
1968170.3277
1967164.6270.3
1966171.4274.4
1965168.3275.8
1964164.5271.9
1963166.3274.7
1962173275.4
1961175278.5
1960173.2276.2
1959170.1274.4
1958176.9278.7
1957171.8277.4
1956173.3277
1955172.8274.6
1954171.8275
1953171.8275.4
1952173.6275.1
1951175.3277.5
1950172.1276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份老挝泰国
2015198.2176.6–216.8290.6272.2–305
2016193174.6–213.8287.1269.8–306.2
2017198.1178.2–215.1290273.8–302.8
2018198.8178.8–218.7292.6275.1–308.7
2019200.6172.9–217.8291.2272.8–306.7
2020201.8177.8–220292.4272.2–307.8
2021204.2184–224.5294.2276.3–308.5
2022205.2182.2–225.7294.8277.2–311.9
2023206.2187.2–224.3296.1281.9–310.2
2024205.2186.3–221.9291.7275.5–307.8
2025206.1181.2–224294276.7–306.3
2026207.5183.6–226.9296278–309.3
2027206.4185.8–226.4295.8276.3–311.1
2028208.4186.8–230.5297279.3–315.1
2029215.3189.5–232.4300.3278.7–315
2030209.8189.3–227.8297.7280.2–312.5
2031211.6194.2–230.7300.8282.8–317.1
2032211.4191–229.3297.2280.9–311.4
2033212.8193.9–231.8300281.9–315.8
2034214.5190.9–236300.8279–318.4
2035213.3192.8–234.5298.6281.5–317.8
2036213.6191.7–231.6300.4279.9–316.9
2037215.7195.2–234.2299.8280–315.1
2038221.3202.2–238.1304.8286.6–319.3
2039216195.9–235.9300.9281.9–317
2040217.2196.2–235.1301.6284.5–315.7
2041221.3199.8–240.8303.1285.1–318.8
2042221.3200.3–239.4303.8290–318.3
2043218.2199.3–237.8302285.8–317.9
2044219.8194.2–237.9304.3286.3–318.8
2045223.9202.3–242.4307.1287.7–324.2
2046222.1198–239305.9285.2–321
2047225202.1–243.8306.6289.5–321.5
2048226.8204.9–247.7309.4288.9–325.7
2049226.6206–249308.1287.2–324.1
2050226.9207.5–245.6307.5291–321.5
2051229.3208.8–247.3312.8294.8–326
2052228.7209.4–244.4310.9291.2–323.4
2053227.2206.2–247.2308.3289.5–323.3
2054228206.7–247.3308.8292.8–322.3
2055227.3206.6–248.1308.6290.6–325.1
2056232.1212.8–253.7311.3294.9–326.3
2057227.9207.9–248.4308.5286.7–326.4
2058229.6207.8–249.3308291.1–325.1
2059233.1214.1–249.5312.7295.8–325.3
2060237.7213.2–253.7313.1294.6–328.6
2061233.5210–254.8314.4289.5–331.1
2062230.6209–257.1311.4293.4–330.3
2063232.2211–250.9314.8296.9–327.3
2064235213.9–252312.5295.4–330
2065232.1213.7–253.3309.6293.1–329.3
2066232.1212.3–251.7312.1292.6–328
2067231.7205.9–254.2311.2289.6–329.4
2068235.6212.3–256.8310.8292.4–330.6
2069237.4213.9–257.5315.5296.1–329.5
2070234.4213.7–255.9314.2292.9–330.7
2071236212.9–260.4313.8296.4–330.8
2072239214.7–254.8314.8296–329.6
2073239.6220.8–259316.5299.9–332.1
2074239214.1–260.4317.2295–333.8
2075238.6215.1–260.7317.2295.3–331.4
2076240.5216.9–263.9317.4299.8–335
2077242.2222.7–262.5317.5297.3–335.9
2078242.1215.9–260.8315.9297.1–331.6
2079241.1222.6–260.6318.5300.5–332.3
2080240.8220.6–264.8319.8297.4–337.5
2081242.8217.4–264.5317.7299.5–334.9
2082243.2216.6–262.4317.9294.8–333
2083239.6219.9–261.2315297.8–332.9
2084241.7215.2–260316295.5–330
2085243.6221.2–266.3322.6300.8–334.7
2086244.4218.2–267.7319.4295.2–335.2
2087243.8219.7–267320.2302.2–334.7
2088246.1224.3–269.6321.4299.8–334.8
2089242.8220.1–268.3318.9296.4–338.1
2090242.8226.2–266.1317.6304–337.4
2091245.5221.4–267320.1299.8–336.1
2092243.1220.1–266.5316.3298–336.4
2093242.1221.2–263.6316.1297.7–333.7
2094245.7224.8–267.6323.4301.8–337.3
2095249.4222.7–273.4322.9302.4–338.9
2096244.6221.7–268.3319.6302.8–336.7
2097244.8221–265.4319.8299.1–336
2098245.4224.3–268320.5303.9–336
2099247.3220.9–265.1319.9303.1–334.4
2100246.3220–266.4320.8301.1–336.7

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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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