印度尼西亚与朝鲜对比
印度尼西亚与朝鲜：热带夜
2014 年热带夜：印度尼西亚为 306.5 夜，朝鲜为 29.3 夜（CMIP6 气候模型中位数模拟）。 2014 年印度尼西亚的数值较高，高出 277.2 夜，是朝鲜的 10 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，印度尼西亚的数值都更高。
- 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年印度尼西亚为 334.7 夜，朝鲜为 54.8 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 印度尼西亚 | 朝鲜 |
|---|---|---|
| 2014 | 306.5 | 29.3 |
| 2013 | 306.4 | 29 |
| 2012 | 306.3 | 28 |
| 2011 | 304.6 | 26.3 |
| 2010 | 305.6 | 27.3 |
| 2009 | 303.9 | 26.8 |
| 2008 | 303.4 | 25.2 |
| 2007 | 302.8 | 26.1 |
| 2006 | 302.8 | 26.7 |
| 2005 | 303.1 | 26.6 |
| 2004 | 303.8 | 26.6 |
| 2003 | 301.9 | 25.2 |
| 2002 | 301.5 | 25.4 |
| 2001 | 302.5 | 25 |
| 2000 | 300.9 | 24.3 |
| 1999 | 300.4 | 25.2 |
| 1998 | 299.1 | 23.3 |
| 1997 | 297.9 | 22.9 |
| 1996 | 296.9 | 22.5 |
| 1995 | 296.7 | 19.6 |
| 1994 | 294.6 | 20.6 |
| 1993 | 291.6 | 16.4 |
| 1992 | 288.5 | 16.5 |
| 1991 | 297.5 | 21.3 |
| 1990 | 298.6 | 21.9 |
| 1989 | 296 | 21.3 |
| 1988 | 296.5 | 20.8 |
| 1987 | 295.6 | 18.2 |
| 1986 | 295.8 | 18.6 |
| 1985 | 292.8 | 19 |
| 1984 | 293.4 | 17.2 |
| 1983 | 290.1 | 15.6 |
| 1982 | 294.4 | 18.9 |
| 1981 | 294.8 | 19.3 |
| 1980 | 294.5 | 18.1 |
| 1979 | 294.1 | 17.8 |
| 1978 | 292.4 | 20.3 |
| 1977 | 293.4 | 17.8 |
| 1976 | 290.8 | 19.2 |
| 1975 | 290.7 | 18.7 |
| 1974 | 291.5 | 18.6 |
| 1973 | 293 | 16.2 |
| 1972 | 290.7 | 18 |
| 1971 | 291.2 | 17.1 |
| 1970 | 288.9 | 17.5 |
| 1969 | 290.4 | 19.5 |
| 1968 | 289.1 | 17.2 |
| 1967 | 288.4 | 21.2 |
| 1966 | 290.5 | 18.3 |
| 1965 | 288.1 | 18.3 |
| 1964 | 286.2 | 17.8 |
| 1963 | 286.4 | 21.2 |
| 1962 | 291.2 | 19.2 |
| 1961 | 292.9 | 20.5 |
| 1960 | 292.8 | 19 |
| 1959 | 291.9 | 19.7 |
| 1958 | 293.3 | 20.5 |
| 1957 | 290.8 | 19.5 |
| 1956 | 291.5 | 21.9 |
| 1955 | 292.4 | 19.3 |
| 1954 | 290 | 19.5 |
| 1953 | 291.4 | 19.8 |
| 1952 | 291.7 | 20.6 |
| 1951 | 291.7 | 18.5 |
| 1950 | 291.8 | 21.7 |
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
| 年份 | 印度尼西亚 | 朝鲜 |
|---|---|---|
| 2015 | 308295.7–315.1 | 3020.9–39.9 |
| 2016 | 307.5296.9–315.6 | 28.319.1–38.6 |
| 2017 | 308.4295.5–315.6 | 31.722.5–41.4 |
| 2018 | 308.9296.4–316.6 | 29.419.8–40.4 |
| 2019 | 309.9297.8–316.7 | 32.524.9–43.3 |
| 2020 | 310.9299–318.6 | 30.622.9–40.9 |
| 2021 | 310.4298.7–316.4 | 30.219–44 |
| 2022 | 311.4300–319.6 | 33.225.3–40 |
| 2023 | 311.4300.1–320.6 | 35.424.8–44.5 |
| 2024 | 313.2302–321.2 | 33.123.4–44.2 |
| 2025 | 312300.2–321.9 | 35.526–46.5 |
| 2026 | 312.6299.9–322.8 | 34.125.7–46.4 |
| 2027 | 312.7301–321.6 | 34.526–47.8 |
| 2028 | 313.8302.4–321.9 | 34.924–44.4 |
| 2029 | 315.5303.9–324.1 | 34.726.7–45.2 |
| 2030 | 314.2303.1–322.6 | 35.225.2–45.6 |
| 2031 | 314.4301.6–321.9 | 33.926.2–47.1 |
| 2032 | 316.9304.8–325.8 | 36.125.7–49.1 |
| 2033 | 316.6305.4–323.3 | 37.225.8–49.9 |
| 2034 | 315.4303.9–323.9 | 36.328.6–44.6 |
| 2035 | 316.3305.6–327.9 | 39.127.3–49.2 |
| 2036 | 317.7305.2–326.2 | 40.426.7–52.8 |
| 2037 | 318.1306.6–325.2 | 37.126.8–48.8 |
| 2038 | 319.3307.6–326.7 | 37.826.9–50.2 |
| 2039 | 319.4307.7–326.7 | 37.328–48.6 |
| 2040 | 318.5306.5–329 | 40.328–54.9 |
| 2041 | 320.2308.3–328 | 40.128.8–54.2 |
| 2042 | 320308.7–329.2 | 4030.8–51.4 |
| 2043 | 318.6306.6–327.8 | 40.929.4–53.8 |
| 2044 | 321309–329.6 | 42.429.2–53.6 |
| 2045 | 320.8308.6–329.8 | 41.130.7–52 |
| 2046 | 322.8308.8–331 | 43.627.7–52.7 |
| 2047 | 323.2308.8–333 | 42.230.2–55.6 |
| 2048 | 322.3310.5–332.3 | 4029–56 |
| 2049 | 323.8311.6–334.1 | 41.629.8–55 |
| 2050 | 323.3310.3–333.5 | 40.831.5–53.9 |
| 2051 | 323.6311.2–334.4 | 42.531–57.3 |
| 2052 | 325.1311.7–334.7 | 42.129.7–55.5 |
| 2053 | 323.9310.9–333.8 | 44.231.3–57.8 |
| 2054 | 324.4311.9–335.4 | 42.332.5–55.4 |
| 2055 | 325.3312.6–335 | 45.433–60.9 |
| 2056 | 325.9312.4–337.2 | 43.933.5–56.4 |
| 2057 | 326.9311.9–335.2 | 44.934.5–59 |
| 2058 | 326.4313–336.3 | 45.334.8–59.4 |
| 2059 | 326.4313.9–337.8 | 45.430.9–58.8 |
| 2060 | 329.5314.9–338.2 | 45.130.4–61.9 |
| 2061 | 327.9313.6–336.9 | 47.135.9–61.5 |
| 2062 | 327.6312.4–339.1 | 44.934.3–60.2 |
| 2063 | 327.6313.9–339.4 | 44.433.8–60.5 |
| 2064 | 328.8314.4–338.6 | 44.332.7–60.5 |
| 2065 | 327.6314.3–337.9 | 47.835.3–62.1 |
| 2066 | 328.6314.7–338.5 | 47.434–59.6 |
| 2067 | 328.8314.3–338 | 49.333.1–61.2 |
| 2068 | 329.8314.4–339.9 | 47.234.1–63.4 |
| 2069 | 329.5315.5–339.3 | 47.432.6–58.7 |
| 2070 | 328.6315.1–338.8 | 4933.9–66.5 |
| 2071 | 331.4315.5–340.4 | 48.634.2–65.8 |
| 2072 | 330.3315.9–339.4 | 48.834.5–64.9 |
| 2073 | 331.4317.7–341 | 49.633.9–62.9 |
| 2074 | 329.9316.8–341.1 | 49.635–65.3 |
| 2075 | 330.5315.2–340.2 | 49.734.6–64 |
| 2076 | 331.5316.2–341.2 | 5034.9–65.1 |
| 2077 | 332315.9–341.8 | 52.437.4–64.6 |
| 2078 | 331.4318.2–340.9 | 48.435.4–66.5 |
| 2079 | 331.5316.6–341.5 | 49.737–64.5 |
| 2080 | 332.4317.4–343.2 | 50.139.7–68.2 |
| 2081 | 332.3318.4–341.8 | 49.938.1–69.4 |
| 2082 | 332.8317.8–340.4 | 52.738.5–70.3 |
| 2083 | 333.1318.7–342.6 | 51.638.9–68.2 |
| 2084 | 333317.8–342.7 | 49.836.9–66.8 |
| 2085 | 332.6318.1–342.7 | 50.638.2–69 |
| 2086 | 333.1318.9–342.3 | 52.737.2–68 |
| 2087 | 332.6318–343.2 | 51.937.3–71.1 |
| 2088 | 334.5319.5–343.1 | 52.636.7–67.4 |
| 2089 | 333.6319–342.6 | 52.839–67.7 |
| 2090 | 333.3319.6–343.3 | 53.738.3–65.3 |
| 2091 | 334.5318.2–343.9 | 53.740–67.5 |
| 2092 | 335.1319.7–343.6 | 53.438.6–67.8 |
| 2093 | 333.9320–344.9 | 53.537.2–69.1 |
| 2094 | 335.6320.4–342.8 | 52.936.2–73 |
| 2095 | 335.4319.7–343 | 52.741.1–68.9 |
| 2096 | 334.3319.4–346.1 | 58.337.8–73 |
| 2097 | 334.2319.5–343.3 | 55.239–69 |
| 2098 | 334.9319.4–343.4 | 5440.5–67.9 |
| 2099 | 334.4319.4–344.6 | 52.537.3–67.2 |
| 2100 | 334.7318.7–343.3 | 54.837.2–70.2 |
分别查看各国
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。
各图层如何运作、数据从何而来，以及它们无法告诉你什么： 历年各国数据