朝鲜与泰国对比
朝鲜与泰国：热带夜
2014 年热带夜：朝鲜为 29.3 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 257.1 夜，是朝鲜的 9.79 倍。
每年夜数 · CMIP6
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 年朝鲜为 54.8 夜，泰国为 320.8 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 朝鲜 | 泰国 |
|---|---|---|
| 2014 | 29.3 | 286.4 |
| 2013 | 29 | 289.1 |
| 2012 | 28 | 286.6 |
| 2011 | 26.3 | 286.4 |
| 2010 | 27.3 | 286 |
| 2009 | 26.8 | 286.9 |
| 2008 | 25.2 | 284.8 |
| 2007 | 26.1 | 283.2 |
| 2006 | 26.7 | 284.3 |
| 2005 | 26.6 | 281.7 |
| 2004 | 26.6 | 287.5 |
| 2003 | 25.2 | 279.3 |
| 2002 | 25.4 | 280 |
| 2001 | 25 | 285.5 |
| 2000 | 24.3 | 283.4 |
| 1999 | 25.2 | 282.5 |
| 1998 | 23.3 | 282.7 |
| 1997 | 22.9 | 284.8 |
| 1996 | 22.5 | 279.8 |
| 1995 | 19.6 | 278.7 |
| 1994 | 20.6 | 280.8 |
| 1993 | 16.4 | 275.6 |
| 1992 | 16.5 | 268.8 |
| 1991 | 21.3 | 276.7 |
| 1990 | 21.9 | 279.2 |
| 1989 | 21.3 | 278.4 |
| 1988 | 20.8 | 279.6 |
| 1987 | 18.2 | 277.9 |
| 1986 | 18.6 | 277.5 |
| 1985 | 19 | 276 |
| 1984 | 17.2 | 277.9 |
| 1983 | 15.6 | 273.9 |
| 1982 | 18.9 | 275.7 |
| 1981 | 19.3 | 277.8 |
| 1980 | 18.1 | 277.9 |
| 1979 | 17.8 | 278 |
| 1978 | 20.3 | 276 |
| 1977 | 17.8 | 277.3 |
| 1976 | 19.2 | 275.6 |
| 1975 | 18.7 | 274.4 |
| 1974 | 18.6 | 276 |
| 1973 | 16.2 | 280.6 |
| 1972 | 18 | 273.9 |
| 1971 | 17.1 | 273.2 |
| 1970 | 17.5 | 276 |
| 1969 | 19.5 | 274.8 |
| 1968 | 17.2 | 277 |
| 1967 | 21.2 | 270.3 |
| 1966 | 18.3 | 274.4 |
| 1965 | 18.3 | 275.8 |
| 1964 | 17.8 | 271.9 |
| 1963 | 21.2 | 274.7 |
| 1962 | 19.2 | 275.4 |
| 1961 | 20.5 | 278.5 |
| 1960 | 19 | 276.2 |
| 1959 | 19.7 | 274.4 |
| 1958 | 20.5 | 278.7 |
| 1957 | 19.5 | 277.4 |
| 1956 | 21.9 | 277 |
| 1955 | 19.3 | 274.6 |
| 1954 | 19.5 | 275 |
| 1953 | 19.8 | 275.4 |
| 1952 | 20.6 | 275.1 |
| 1951 | 18.5 | 277.5 |
| 1950 | 21.7 | 276.2 |
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
| 年份 | 朝鲜 | 泰国 |
|---|---|---|
| 2015 | 3020.9–39.9 | 290.6272.2–305 |
| 2016 | 28.319.1–38.6 | 287.1269.8–306.2 |
| 2017 | 31.722.5–41.4 | 290273.8–302.8 |
| 2018 | 29.419.8–40.4 | 292.6275.1–308.7 |
| 2019 | 32.524.9–43.3 | 291.2272.8–306.7 |
| 2020 | 30.622.9–40.9 | 292.4272.2–307.8 |
| 2021 | 30.219–44 | 294.2276.3–308.5 |
| 2022 | 33.225.3–40 | 294.8277.2–311.9 |
| 2023 | 35.424.8–44.5 | 296.1281.9–310.2 |
| 2024 | 33.123.4–44.2 | 291.7275.5–307.8 |
| 2025 | 35.526–46.5 | 294276.7–306.3 |
| 2026 | 34.125.7–46.4 | 296278–309.3 |
| 2027 | 34.526–47.8 | 295.8276.3–311.1 |
| 2028 | 34.924–44.4 | 297279.3–315.1 |
| 2029 | 34.726.7–45.2 | 300.3278.7–315 |
| 2030 | 35.225.2–45.6 | 297.7280.2–312.5 |
| 2031 | 33.926.2–47.1 | 300.8282.8–317.1 |
| 2032 | 36.125.7–49.1 | 297.2280.9–311.4 |
| 2033 | 37.225.8–49.9 | 300281.9–315.8 |
| 2034 | 36.328.6–44.6 | 300.8279–318.4 |
| 2035 | 39.127.3–49.2 | 298.6281.5–317.8 |
| 2036 | 40.426.7–52.8 | 300.4279.9–316.9 |
| 2037 | 37.126.8–48.8 | 299.8280–315.1 |
| 2038 | 37.826.9–50.2 | 304.8286.6–319.3 |
| 2039 | 37.328–48.6 | 300.9281.9–317 |
| 2040 | 40.328–54.9 | 301.6284.5–315.7 |
| 2041 | 40.128.8–54.2 | 303.1285.1–318.8 |
| 2042 | 4030.8–51.4 | 303.8290–318.3 |
| 2043 | 40.929.4–53.8 | 302285.8–317.9 |
| 2044 | 42.429.2–53.6 | 304.3286.3–318.8 |
| 2045 | 41.130.7–52 | 307.1287.7–324.2 |
| 2046 | 43.627.7–52.7 | 305.9285.2–321 |
| 2047 | 42.230.2–55.6 | 306.6289.5–321.5 |
| 2048 | 4029–56 | 309.4288.9–325.7 |
| 2049 | 41.629.8–55 | 308.1287.2–324.1 |
| 2050 | 40.831.5–53.9 | 307.5291–321.5 |
| 2051 | 42.531–57.3 | 312.8294.8–326 |
| 2052 | 42.129.7–55.5 | 310.9291.2–323.4 |
| 2053 | 44.231.3–57.8 | 308.3289.5–323.3 |
| 2054 | 42.332.5–55.4 | 308.8292.8–322.3 |
| 2055 | 45.433–60.9 | 308.6290.6–325.1 |
| 2056 | 43.933.5–56.4 | 311.3294.9–326.3 |
| 2057 | 44.934.5–59 | 308.5286.7–326.4 |
| 2058 | 45.334.8–59.4 | 308291.1–325.1 |
| 2059 | 45.430.9–58.8 | 312.7295.8–325.3 |
| 2060 | 45.130.4–61.9 | 313.1294.6–328.6 |
| 2061 | 47.135.9–61.5 | 314.4289.5–331.1 |
| 2062 | 44.934.3–60.2 | 311.4293.4–330.3 |
| 2063 | 44.433.8–60.5 | 314.8296.9–327.3 |
| 2064 | 44.332.7–60.5 | 312.5295.4–330 |
| 2065 | 47.835.3–62.1 | 309.6293.1–329.3 |
| 2066 | 47.434–59.6 | 312.1292.6–328 |
| 2067 | 49.333.1–61.2 | 311.2289.6–329.4 |
| 2068 | 47.234.1–63.4 | 310.8292.4–330.6 |
| 2069 | 47.432.6–58.7 | 315.5296.1–329.5 |
| 2070 | 4933.9–66.5 | 314.2292.9–330.7 |
| 2071 | 48.634.2–65.8 | 313.8296.4–330.8 |
| 2072 | 48.834.5–64.9 | 314.8296–329.6 |
| 2073 | 49.633.9–62.9 | 316.5299.9–332.1 |
| 2074 | 49.635–65.3 | 317.2295–333.8 |
| 2075 | 49.734.6–64 | 317.2295.3–331.4 |
| 2076 | 5034.9–65.1 | 317.4299.8–335 |
| 2077 | 52.437.4–64.6 | 317.5297.3–335.9 |
| 2078 | 48.435.4–66.5 | 315.9297.1–331.6 |
| 2079 | 49.737–64.5 | 318.5300.5–332.3 |
| 2080 | 50.139.7–68.2 | 319.8297.4–337.5 |
| 2081 | 49.938.1–69.4 | 317.7299.5–334.9 |
| 2082 | 52.738.5–70.3 | 317.9294.8–333 |
| 2083 | 51.638.9–68.2 | 315297.8–332.9 |
| 2084 | 49.836.9–66.8 | 316295.5–330 |
| 2085 | 50.638.2–69 | 322.6300.8–334.7 |
| 2086 | 52.737.2–68 | 319.4295.2–335.2 |
| 2087 | 51.937.3–71.1 | 320.2302.2–334.7 |
| 2088 | 52.636.7–67.4 | 321.4299.8–334.8 |
| 2089 | 52.839–67.7 | 318.9296.4–338.1 |
| 2090 | 53.738.3–65.3 | 317.6304–337.4 |
| 2091 | 53.740–67.5 | 320.1299.8–336.1 |
| 2092 | 53.438.6–67.8 | 316.3298–336.4 |
| 2093 | 53.537.2–69.1 | 316.1297.7–333.7 |
| 2094 | 52.936.2–73 | 323.4301.8–337.3 |
| 2095 | 52.741.1–68.9 | 322.9302.4–338.9 |
| 2096 | 58.337.8–73 | 319.6302.8–336.7 |
| 2097 | 55.239–69 | 319.8299.1–336 |
| 2098 | 5440.5–67.9 | 320.5303.9–336 |
| 2099 | 52.537.3–67.2 | 319.9303.1–334.4 |
| 2100 | 54.837.2–70.2 | 320.8301.1–336.7 |
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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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