日本与泰国对比
日本与泰国:热带夜
2014 年热带夜:日本为 58.6 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 227.8 夜,是日本的 4.89 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 年日本为 87.7 夜,泰国为 320.8 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 日本 | 泰国 |
|---|---|---|
| 2014 | 58.6 | 286.4 |
| 2013 | 59.9 | 289.1 |
| 2012 | 59.3 | 286.6 |
| 2011 | 57.9 | 286.4 |
| 2010 | 59.6 | 286 |
| 2009 | 57.6 | 286.9 |
| 2008 | 57.3 | 284.8 |
| 2007 | 56.6 | 283.2 |
| 2006 | 57.5 | 284.3 |
| 2005 | 57.2 | 281.7 |
| 2004 | 56.7 | 287.5 |
| 2003 | 56.1 | 279.3 |
| 2002 | 56 | 280 |
| 2001 | 54.2 | 285.5 |
| 2000 | 53.8 | 283.4 |
| 1999 | 55.3 | 282.5 |
| 1998 | 52.4 | 282.7 |
| 1997 | 52.4 | 284.8 |
| 1996 | 52.9 | 279.8 |
| 1995 | 49.7 | 278.7 |
| 1994 | 49.5 | 280.8 |
| 1993 | 45.4 | 275.6 |
| 1992 | 45.1 | 268.8 |
| 1991 | 49.4 | 276.7 |
| 1990 | 50.7 | 279.2 |
| 1989 | 51.4 | 278.4 |
| 1988 | 48.1 | 279.6 |
| 1987 | 47.7 | 277.9 |
| 1986 | 46.1 | 277.5 |
| 1985 | 46.7 | 276 |
| 1984 | 44.8 | 277.9 |
| 1983 | 41.9 | 273.9 |
| 1982 | 46.4 | 275.7 |
| 1981 | 45.9 | 277.8 |
| 1980 | 46.5 | 277.9 |
| 1979 | 46.7 | 278 |
| 1978 | 47.6 | 276 |
| 1977 | 45.8 | 277.3 |
| 1976 | 46 | 275.6 |
| 1975 | 46.9 | 274.4 |
| 1974 | 45.6 | 276 |
| 1973 | 44.3 | 280.6 |
| 1972 | 45.8 | 273.9 |
| 1971 | 44.8 | 273.2 |
| 1970 | 44 | 276 |
| 1969 | 46.9 | 274.8 |
| 1968 | 45.7 | 277 |
| 1967 | 48.3 | 270.3 |
| 1966 | 45.9 | 274.4 |
| 1965 | 45.8 | 275.8 |
| 1964 | 44.9 | 271.9 |
| 1963 | 48.3 | 274.7 |
| 1962 | 45.6 | 275.4 |
| 1961 | 48.9 | 278.5 |
| 1960 | 46.4 | 276.2 |
| 1959 | 46.9 | 274.4 |
| 1958 | 48.8 | 278.7 |
| 1957 | 49.2 | 277.4 |
| 1956 | 50.6 | 277 |
| 1955 | 47.9 | 274.6 |
| 1954 | 46.9 | 275 |
| 1953 | 49.2 | 275.4 |
| 1952 | 49.5 | 275.1 |
| 1951 | 46.2 | 277.5 |
| 1950 | 49.9 | 276.2 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 日本 | 泰国 |
|---|---|---|
| 2015 | 60.649.3–74.4 | 290.6272.2–305 |
| 2016 | 61.547.9–73.9 | 287.1269.8–306.2 |
| 2017 | 62.352.1–75.8 | 290273.8–302.8 |
| 2018 | 60.548.5–73.8 | 292.6275.1–308.7 |
| 2019 | 64.152.1–80.1 | 291.2272.8–306.7 |
| 2020 | 63.151–74.5 | 292.4272.2–307.8 |
| 2021 | 62.348.5–78.8 | 294.2276.3–308.5 |
| 2022 | 64.653.8–76.5 | 294.8277.2–311.9 |
| 2023 | 65.951.7–78 | 296.1281.9–310.2 |
| 2024 | 65.352.9–80.7 | 291.7275.5–307.8 |
| 2025 | 65.652.8–80.4 | 294276.7–306.3 |
| 2026 | 65.554.2–81.2 | 296278–309.3 |
| 2027 | 66.452.9–79.5 | 295.8276.3–311.1 |
| 2028 | 65.352.4–80.1 | 297279.3–315.1 |
| 2029 | 68.555–80.4 | 300.3278.7–315 |
| 2030 | 66.552.3–80.6 | 297.7280.2–312.5 |
| 2031 | 66.554.7–80 | 300.8282.8–317.1 |
| 2032 | 6650.8–82.1 | 297.2280.9–311.4 |
| 2033 | 70.354.7–84.8 | 300281.9–315.8 |
| 2034 | 68.553.9–81.7 | 300.8279–318.4 |
| 2035 | 72.960.4–84.6 | 298.6281.5–317.8 |
| 2036 | 72.556.1–89.7 | 300.4279.9–316.9 |
| 2037 | 67.656.7–82.5 | 299.8280–315.1 |
| 2038 | 70.558.6–83.8 | 304.8286.6–319.3 |
| 2039 | 70.455.6–85.7 | 300.9281.9–317 |
| 2040 | 73.657.4–89.3 | 301.6284.5–315.7 |
| 2041 | 72.955.6–88.5 | 303.1285.1–318.8 |
| 2042 | 71.258.1–86.4 | 303.8290–318.3 |
| 2043 | 73.357.9–88.1 | 302285.8–317.9 |
| 2044 | 72.657.8–85.5 | 304.3286.3–318.8 |
| 2045 | 72.959.5–86.7 | 307.1287.7–324.2 |
| 2046 | 76.261–90.3 | 305.9285.2–321 |
| 2047 | 75.656.6–89.3 | 306.6289.5–321.5 |
| 2048 | 74.858.5–89.4 | 309.4288.9–325.7 |
| 2049 | 74.359.7–90.8 | 308.1287.2–324.1 |
| 2050 | 75.160.8–89.3 | 307.5291–321.5 |
| 2051 | 75.861.1–92.4 | 312.8294.8–326 |
| 2052 | 74.557.9–90.4 | 310.9291.2–323.4 |
| 2053 | 78.559.6–91.6 | 308.3289.5–323.3 |
| 2054 | 75.959.6–89.3 | 308.8292.8–322.3 |
| 2055 | 76.862.2–95.1 | 308.6290.6–325.1 |
| 2056 | 77.861.9–93.7 | 311.3294.9–326.3 |
| 2057 | 79.962.8–94.4 | 308.5286.7–326.4 |
| 2058 | 79.263.7–94.9 | 308291.1–325.1 |
| 2059 | 79.858–95.6 | 312.7295.8–325.3 |
| 2060 | 78.261.1–95.1 | 313.1294.6–328.6 |
| 2061 | 80.865.7–96.7 | 314.4289.5–331.1 |
| 2062 | 8063.6–96.3 | 311.4293.4–330.3 |
| 2063 | 8064.1–96.5 | 314.8296.9–327.3 |
| 2064 | 77.661.4–95.2 | 312.5295.4–330 |
| 2065 | 81.763–97.4 | 309.6293.1–329.3 |
| 2066 | 80.363.8–94.2 | 312.1292.6–328 |
| 2067 | 81.363.2–97.1 | 311.2289.6–329.4 |
| 2068 | 79.861.4–99.3 | 310.8292.4–330.6 |
| 2069 | 82.365–96.1 | 315.5296.1–329.5 |
| 2070 | 83.360.2–102.3 | 314.2292.9–330.7 |
| 2071 | 83.663.6–99.2 | 313.8296.4–330.8 |
| 2072 | 84.363.3–99.1 | 314.8296–329.6 |
| 2073 | 83.564.9–97.4 | 316.5299.9–332.1 |
| 2074 | 84.366.8–100.9 | 317.2295–333.8 |
| 2075 | 85.664.1–99.8 | 317.2295.3–331.4 |
| 2076 | 83.968.8–99.3 | 317.4299.8–335 |
| 2077 | 86.467.6–102.4 | 317.5297.3–335.9 |
| 2078 | 84.167.7–103.2 | 315.9297.1–331.6 |
| 2079 | 86.168.3–99.4 | 318.5300.5–332.3 |
| 2080 | 84.767.6–103.7 | 319.8297.4–337.5 |
| 2081 | 83.668.5–104.3 | 317.7299.5–334.9 |
| 2082 | 86.469.4–107.7 | 317.9294.8–333 |
| 2083 | 85.966.5–105.7 | 315297.8–332.9 |
| 2084 | 85.867.4–102.3 | 316295.5–330 |
| 2085 | 87.568.9–102.8 | 322.6300.8–334.7 |
| 2086 | 84.668.6–105.3 | 319.4295.2–335.2 |
| 2087 | 87.270.3–107 | 320.2302.2–334.7 |
| 2088 | 86.866.3–102.5 | 321.4299.8–334.8 |
| 2089 | 85.765.9–103.8 | 318.9296.4–338.1 |
| 2090 | 89.469.5–104.4 | 317.6304–337.4 |
| 2091 | 88.367.4–103.1 | 320.1299.8–336.1 |
| 2092 | 8667.7–102.3 | 316.3298–336.4 |
| 2093 | 88.969.8–107.4 | 316.1297.7–333.7 |
| 2094 | 87.569.3–103.7 | 323.4301.8–337.3 |
| 2095 | 8872.4–104.9 | 322.9302.4–338.9 |
| 2096 | 90.771–107.3 | 319.6302.8–336.7 |
| 2097 | 89.471–103.1 | 319.8299.1–336 |
| 2098 | 88.571–106.5 | 320.5303.9–336 |
| 2099 | 88.370.8–102.4 | 319.9303.1–334.4 |
| 2100 | 87.769.2–106.2 | 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。
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
日本与泰国对比
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军用
- 军费开支日本:2025 年为 GDP 的 1.41%泰国:2025 年为 GDP 的 1.04%
- 军费开支(美元)日本:2025 年为 US$595亿泰国:2025 年为 US$55.7亿
- 人均军费开支日本:2025 年为 US$504泰国:2025 年为 US$84
- 军费占政府支出比例日本:2025 年为 3.8%(占政府支出)泰国:2025 年为 4.4%(占政府支出)
- 武装部队人员日本:2020 年为 261,000 人泰国:2020 年为 455,000 人
- 国家实力日本:2022 年为 2.47%(占全球实力)泰国:2022 年为 0.79%(占全球实力)
- 武装部队占劳动力比例日本:2020 年为 0.38%(占劳动力)泰国:2020 年为 1.13%(占劳动力)
- 武器进口日本:2025 年为 17.2亿 TIV泰国:2025 年为 3300万 TIV
- 武器出口日本:2025 年为 2800万 TIV泰国:2024 年为 1500万 TIV