朝鲜与越南对比
朝鲜与越南：热带夜
2014 年热带夜：朝鲜为 29.3 夜，越南为 242.6 夜（CMIP6 气候模型中位数模拟）。 2014 年越南的数值较高，高出 213.3 夜，是朝鲜的 8.29 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，越南的数值都更高。
- 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年朝鲜为 54.8 夜，越南为 282.7 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 朝鲜 | 越南 |
|---|---|---|
| 2014 | 29.3 | 242.6 |
| 2013 | 29 | 243.6 |
| 2012 | 28 | 242.4 |
| 2011 | 26.3 | 241.9 |
| 2010 | 27.3 | 240.9 |
| 2009 | 26.8 | 240 |
| 2008 | 25.2 | 238.7 |
| 2007 | 26.1 | 238 |
| 2006 | 26.7 | 239.1 |
| 2005 | 26.6 | 238.3 |
| 2004 | 26.6 | 241.8 |
| 2003 | 25.2 | 235.9 |
| 2002 | 25.4 | 236.3 |
| 2001 | 25 | 241.3 |
| 2000 | 24.3 | 237 |
| 1999 | 25.2 | 236 |
| 1998 | 23.3 | 236.8 |
| 1997 | 22.9 | 237.1 |
| 1996 | 22.5 | 231.4 |
| 1995 | 19.6 | 229.9 |
| 1994 | 20.6 | 231.2 |
| 1993 | 16.4 | 225.3 |
| 1992 | 16.5 | 221.9 |
| 1991 | 21.3 | 229.8 |
| 1990 | 21.9 | 233.1 |
| 1989 | 21.3 | 229.2 |
| 1988 | 20.8 | 231.7 |
| 1987 | 18.2 | 230.3 |
| 1986 | 18.6 | 230.9 |
| 1985 | 19 | 228 |
| 1984 | 17.2 | 230.2 |
| 1983 | 15.6 | 224.9 |
| 1982 | 18.9 | 227.5 |
| 1981 | 19.3 | 229.7 |
| 1980 | 18.1 | 228.1 |
| 1979 | 17.8 | 228.9 |
| 1978 | 20.3 | 227.5 |
| 1977 | 17.8 | 229 |
| 1976 | 19.2 | 225.8 |
| 1975 | 18.7 | 225.8 |
| 1974 | 18.6 | 225.7 |
| 1973 | 16.2 | 230.3 |
| 1972 | 18 | 225.6 |
| 1971 | 17.1 | 225.5 |
| 1970 | 17.5 | 226.1 |
| 1969 | 19.5 | 227 |
| 1968 | 17.2 | 227.1 |
| 1967 | 21.2 | 222.9 |
| 1966 | 18.3 | 226.8 |
| 1965 | 18.3 | 225.4 |
| 1964 | 17.8 | 222.6 |
| 1963 | 21.2 | 224.3 |
| 1962 | 19.2 | 227.8 |
| 1961 | 20.5 | 229.4 |
| 1960 | 19 | 228.5 |
| 1959 | 19.7 | 226.2 |
| 1958 | 20.5 | 230.9 |
| 1957 | 19.5 | 228.4 |
| 1956 | 21.9 | 228.7 |
| 1955 | 19.3 | 227.5 |
| 1954 | 19.5 | 226.3 |
| 1953 | 19.8 | 228.2 |
| 1952 | 20.6 | 228.5 |
| 1951 | 18.5 | 229.2 |
| 1950 | 21.7 | 228.9 |
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
| 年份 | 朝鲜 | 越南 |
|---|---|---|
| 2015 | 3020.9–39.9 | 245.8228.2–261.9 |
| 2016 | 28.319.1–38.6 | 243.7226.1–259.4 |
| 2017 | 31.722.5–41.4 | 247229.6–260.7 |
| 2018 | 29.419.8–40.4 | 248.3228.8–263.3 |
| 2019 | 32.524.9–43.3 | 248.1229.2–262.8 |
| 2020 | 30.622.9–40.9 | 248.8229.6–262.9 |
| 2021 | 30.219–44 | 251.1233.1–266.7 |
| 2022 | 33.225.3–40 | 252.4234.3–266.8 |
| 2023 | 35.424.8–44.5 | 253.4235.4–266.6 |
| 2024 | 33.123.4–44.2 | 251.3236.7–264.6 |
| 2025 | 35.526–46.5 | 252.4234.1–266.2 |
| 2026 | 34.125.7–46.4 | 252.8232.9–268.5 |
| 2027 | 34.526–47.8 | 253.2237–268.8 |
| 2028 | 34.924–44.4 | 254.3237.7–272 |
| 2029 | 34.726.7–45.2 | 258.1238.5–273.7 |
| 2030 | 35.225.2–45.6 | 256.4240.9–270.1 |
| 2031 | 33.926.2–47.1 | 255.9241.2–270.9 |
| 2032 | 36.125.7–49.1 | 257.4239.1–269.9 |
| 2033 | 37.225.8–49.9 | 258.3241.7–273.2 |
| 2034 | 36.328.6–44.6 | 258.8240.7–275.8 |
| 2035 | 39.127.3–49.2 | 258.6242.5–275.4 |
| 2036 | 40.426.7–52.8 | 258.3239.1–273.8 |
| 2037 | 37.126.8–48.8 | 258.7242.4–272.4 |
| 2038 | 37.826.9–50.2 | 263.4247.6–277.3 |
| 2039 | 37.328–48.6 | 260.2243.7–275.9 |
| 2040 | 40.328–54.9 | 260.1242.8–274.8 |
| 2041 | 40.128.8–54.2 | 263.1245.9–279 |
| 2042 | 4030.8–51.4 | 263.6246.5–279 |
| 2043 | 40.929.4–53.8 | 261.4245.5–279.6 |
| 2044 | 42.429.2–53.6 | 263.2245.2–277.6 |
| 2045 | 41.130.7–52 | 265.5249.6–281.4 |
| 2046 | 43.627.7–52.7 | 264.9246.8–278.1 |
| 2047 | 42.230.2–55.6 | 266.9250.4–282.9 |
| 2048 | 4029–56 | 268250.5–283.8 |
| 2049 | 41.629.8–55 | 267.8251.2–284.8 |
| 2050 | 40.831.5–53.9 | 268251.2–283.5 |
| 2051 | 42.531–57.3 | 270.9254.3–285.4 |
| 2052 | 42.129.7–55.5 | 268.3253.3–282.8 |
| 2053 | 44.231.3–57.8 | 268.5250.1–283.2 |
| 2054 | 42.332.5–55.4 | 269.1250.8–283.6 |
| 2055 | 45.433–60.9 | 270249.8–284.2 |
| 2056 | 43.933.5–56.4 | 271.7254.8–290.1 |
| 2057 | 44.934.5–59 | 270253–285.7 |
| 2058 | 45.334.8–59.4 | 270.7252.9–286.5 |
| 2059 | 45.430.9–58.8 | 273257.6–286.6 |
| 2060 | 45.130.4–61.9 | 275.7255.6–290.6 |
| 2061 | 47.135.9–61.5 | 273.5254.6–289.5 |
| 2062 | 44.934.3–60.2 | 271.4253.1–290.2 |
| 2063 | 44.433.8–60.5 | 272.9252.7–288.1 |
| 2064 | 44.332.7–60.5 | 273.8254.4–288.1 |
| 2065 | 47.835.3–62.1 | 272255.8–286.3 |
| 2066 | 47.434–59.6 | 271.8254.4–287.3 |
| 2067 | 49.333.1–61.2 | 270.8252.1–287.6 |
| 2068 | 47.234.1–63.4 | 275.6256.9–292.4 |
| 2069 | 47.432.6–58.7 | 276.4258.5–292 |
| 2070 | 4933.9–66.5 | 274.6257.8–292.8 |
| 2071 | 48.634.2–65.8 | 276.2255.2–294.1 |
| 2072 | 48.834.5–64.9 | 277256.8–291.4 |
| 2073 | 49.633.9–62.9 | 278.5262.7–293.4 |
| 2074 | 49.635–65.3 | 277.6259.2–295.8 |
| 2075 | 49.734.6–64 | 276.4258.7–294.4 |
| 2076 | 5034.9–65.1 | 279.2258.5–296.6 |
| 2077 | 52.437.4–64.6 | 280264.9–294.7 |
| 2078 | 48.435.4–66.5 | 278.4258.6–295.5 |
| 2079 | 49.737–64.5 | 279.3263.4–293.6 |
| 2080 | 50.139.7–68.2 | 280261.4–296.5 |
| 2081 | 49.938.1–69.4 | 280.4261.2–297.9 |
| 2082 | 52.738.5–70.3 | 280.9258.9–296 |
| 2083 | 51.638.9–68.2 | 278.4261.6–295 |
| 2084 | 49.836.9–66.8 | 279257.4–293.8 |
| 2085 | 50.638.2–69 | 281.3265–297.8 |
| 2086 | 52.737.2–68 | 282.3260.2–297.5 |
| 2087 | 51.937.3–71.1 | 281.9261.3–300.7 |
| 2088 | 52.636.7–67.4 | 283.1265.7–301.5 |
| 2089 | 52.839–67.7 | 280.8261.2–301.6 |
| 2090 | 53.738.3–65.3 | 280.5264.5–297.6 |
| 2091 | 53.740–67.5 | 283.3264.3–298.9 |
| 2092 | 53.438.6–67.8 | 281.1261.5–299.4 |
| 2093 | 53.537.2–69.1 | 280.5263.4–296.1 |
| 2094 | 52.936.2–73 | 283264.5–300 |
| 2095 | 52.741.1–68.9 | 285.5264.5–302.9 |
| 2096 | 58.337.8–73 | 281.8264.8–299.8 |
| 2097 | 55.239–69 | 281.5263.3–299 |
| 2098 | 5440.5–67.9 | 282.5263.9–301.5 |
| 2099 | 52.537.3–67.2 | 282.7265.1–298 |
| 2100 | 54.837.2–70.2 | 282.7261–298.2 |
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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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