意大利与泰国对比
意大利与泰国:热带夜
2014 年热带夜:意大利为 26.3 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 260.1 夜,是意大利的 11 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 年意大利为 65.1 夜,泰国为 320.8 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 意大利 | 泰国 |
|---|---|---|
| 2014 | 26.3 | 286.4 |
| 2013 | 24.7 | 289.1 |
| 2012 | 24.8 | 286.6 |
| 2011 | 24.6 | 286.4 |
| 2010 | 27.1 | 286 |
| 2009 | 23.7 | 286.9 |
| 2008 | 24.1 | 284.8 |
| 2007 | 21.5 | 283.2 |
| 2006 | 24.6 | 284.3 |
| 2005 | 22.5 | 281.7 |
| 2004 | 24.5 | 287.5 |
| 2003 | 23.8 | 279.3 |
| 2002 | 20.6 | 280 |
| 2001 | 20.8 | 285.5 |
| 2000 | 21.7 | 283.4 |
| 1999 | 20.3 | 282.5 |
| 1998 | 18.9 | 282.7 |
| 1997 | 18.9 | 284.8 |
| 1996 | 18.9 | 279.8 |
| 1995 | 17.9 | 278.7 |
| 1994 | 17.4 | 280.8 |
| 1993 | 16.3 | 275.6 |
| 1992 | 15.1 | 268.8 |
| 1991 | 18 | 276.7 |
| 1990 | 18.2 | 279.2 |
| 1989 | 16.6 | 278.4 |
| 1988 | 15.5 | 279.6 |
| 1987 | 16 | 277.9 |
| 1986 | 15 | 277.5 |
| 1985 | 14.5 | 276 |
| 1984 | 15.7 | 277.9 |
| 1983 | 15.3 | 273.9 |
| 1982 | 14.1 | 275.7 |
| 1981 | 15.3 | 277.8 |
| 1980 | 15.9 | 277.9 |
| 1979 | 14.5 | 278 |
| 1978 | 16.5 | 276 |
| 1977 | 13.5 | 277.3 |
| 1976 | 13.8 | 275.6 |
| 1975 | 14 | 274.4 |
| 1974 | 14.8 | 276 |
| 1973 | 13.5 | 280.6 |
| 1972 | 13.7 | 273.9 |
| 1971 | 15.3 | 273.2 |
| 1970 | 14 | 276 |
| 1969 | 14.5 | 274.8 |
| 1968 | 13.8 | 277 |
| 1967 | 13.6 | 270.3 |
| 1966 | 13.2 | 274.4 |
| 1965 | 12.8 | 275.8 |
| 1964 | 13.2 | 271.9 |
| 1963 | 14.2 | 274.7 |
| 1962 | 15.5 | 275.4 |
| 1961 | 13.9 | 278.5 |
| 1960 | 14.9 | 276.2 |
| 1959 | 16.6 | 274.4 |
| 1958 | 14.4 | 278.7 |
| 1957 | 15.5 | 277.4 |
| 1956 | 16.7 | 277 |
| 1955 | 16.6 | 274.6 |
| 1954 | 15.7 | 275 |
| 1953 | 15.4 | 275.4 |
| 1952 | 16.6 | 275.1 |
| 1951 | 16 | 277.5 |
| 1950 | 15.3 | 276.2 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 意大利 | 泰国 |
|---|---|---|
| 2015 | 3021.7–40.4 | 290.6272.2–305 |
| 2016 | 29.618–42.2 | 287.1269.8–306.2 |
| 2017 | 31.820.2–43.7 | 290273.8–302.8 |
| 2018 | 3122–44.3 | 292.6275.1–308.7 |
| 2019 | 31.521.3–43.2 | 291.2272.8–306.7 |
| 2020 | 31.619.7–44.3 | 292.4272.2–307.8 |
| 2021 | 3420.8–46.9 | 294.2276.3–308.5 |
| 2022 | 37.121.3–50.6 | 294.8277.2–311.9 |
| 2023 | 33.121.3–47.4 | 296.1281.9–310.2 |
| 2024 | 35.521.6–48.4 | 291.7275.5–307.8 |
| 2025 | 37.720.5–51.1 | 294276.7–306.3 |
| 2026 | 38.926.6–52.2 | 296278–309.3 |
| 2027 | 34.322.4–49.7 | 295.8276.3–311.1 |
| 2028 | 37.724.4–53.1 | 297279.3–315.1 |
| 2029 | 37.824.9–55 | 300.3278.7–315 |
| 2030 | 37.925.7–54.7 | 297.7280.2–312.5 |
| 2031 | 37.223.8–51 | 300.8282.8–317.1 |
| 2032 | 39.226.2–53.8 | 297.2280.9–311.4 |
| 2033 | 40.426–50.3 | 300281.9–315.8 |
| 2034 | 42.525.1–57.2 | 300.8279–318.4 |
| 2035 | 42.728.9–58.3 | 298.6281.5–317.8 |
| 2036 | 41.127.7–59.9 | 300.4279.9–316.9 |
| 2037 | 4328.1–54.8 | 299.8280–315.1 |
| 2038 | 41.628.5–61.3 | 304.8286.6–319.3 |
| 2039 | 4129.4–56.4 | 300.9281.9–317 |
| 2040 | 42.428.1–59.1 | 301.6284.5–315.7 |
| 2041 | 41.927.2–58.7 | 303.1285.1–318.8 |
| 2042 | 43.529.6–59 | 303.8290–318.3 |
| 2043 | 4528.7–59.5 | 302285.8–317.9 |
| 2044 | 44.929.4–59.9 | 304.3286.3–318.8 |
| 2045 | 45.230.3–59.2 | 307.1287.7–324.2 |
| 2046 | 4627.3–62.4 | 305.9285.2–321 |
| 2047 | 49.132.4–63.6 | 306.6289.5–321.5 |
| 2048 | 46.228.3–65.7 | 309.4288.9–325.7 |
| 2049 | 48.229.5–65.7 | 308.1287.2–324.1 |
| 2050 | 49.536.4–64.4 | 307.5291–321.5 |
| 2051 | 48.831.6–68.3 | 312.8294.8–326 |
| 2052 | 50.330.9–68.1 | 310.9291.2–323.4 |
| 2053 | 48.235.9–67 | 308.3289.5–323.3 |
| 2054 | 49.435.3–66.1 | 308.8292.8–322.3 |
| 2055 | 52.233.7–67.7 | 308.6290.6–325.1 |
| 2056 | 50.836.2–71.6 | 311.3294.9–326.3 |
| 2057 | 50.232.8–65.6 | 308.5286.7–326.4 |
| 2058 | 55.337.5–70.8 | 308291.1–325.1 |
| 2059 | 51.934.5–74.1 | 312.7295.8–325.3 |
| 2060 | 52.938.2–68.1 | 313.1294.6–328.6 |
| 2061 | 54.338.3–69.8 | 314.4289.5–331.1 |
| 2062 | 53.936.9–69 | 311.4293.4–330.3 |
| 2063 | 56.437.6–72.1 | 314.8296.9–327.3 |
| 2064 | 55.938.5–71.3 | 312.5295.4–330 |
| 2065 | 5537.3–73.3 | 309.6293.1–329.3 |
| 2066 | 53.935.8–73.8 | 312.1292.6–328 |
| 2067 | 61.141.2–76.6 | 311.2289.6–329.4 |
| 2068 | 56.241.7–73 | 310.8292.4–330.6 |
| 2069 | 58.741.8–73 | 315.5296.1–329.5 |
| 2070 | 55.738.9–74.4 | 314.2292.9–330.7 |
| 2071 | 59.637.8–76.6 | 313.8296.4–330.8 |
| 2072 | 59.643.5–74.6 | 314.8296–329.6 |
| 2073 | 56.939.4–71.6 | 316.5299.9–332.1 |
| 2074 | 54.836.7–73.7 | 317.2295–333.8 |
| 2075 | 56.941.8–75.4 | 317.2295.3–331.4 |
| 2076 | 59.941.9–77.7 | 317.4299.8–335 |
| 2077 | 57.437.9–74.1 | 317.5297.3–335.9 |
| 2078 | 60.540.5–80.7 | 315.9297.1–331.6 |
| 2079 | 60.637.1–83.3 | 318.5300.5–332.3 |
| 2080 | 59.743.1–78 | 319.8297.4–337.5 |
| 2081 | 5943.7–78.9 | 317.7299.5–334.9 |
| 2082 | 63.945.5–80.2 | 317.9294.8–333 |
| 2083 | 60.842–79.7 | 315297.8–332.9 |
| 2084 | 62.547.3–82.1 | 316295.5–330 |
| 2085 | 65.246.3–79 | 322.6300.8–334.7 |
| 2086 | 64.445.6–80.1 | 319.4295.2–335.2 |
| 2087 | 63.743.8–84 | 320.2302.2–334.7 |
| 2088 | 67.247.4–84.4 | 321.4299.8–334.8 |
| 2089 | 64.546–82.9 | 318.9296.4–338.1 |
| 2090 | 65.842.8–80.5 | 317.6304–337.4 |
| 2091 | 66.745.3–84.7 | 320.1299.8–336.1 |
| 2092 | 64.838.5–82.3 | 316.3298–336.4 |
| 2093 | 63.644.7–83 | 316.1297.7–333.7 |
| 2094 | 62.445–82 | 323.4301.8–337.3 |
| 2095 | 6643.6–83.5 | 322.9302.4–338.9 |
| 2096 | 6542.9–85.8 | 319.6302.8–336.7 |
| 2097 | 65.844.9–84.4 | 319.8299.1–336 |
| 2098 | 64.647.9–84.2 | 320.5303.9–336 |
| 2099 | 67.742.2–81.9 | 319.9303.1–334.4 |
| 2100 | 65.142.5–83.2 | 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
意大利与泰国对比
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军用
- 军费开支意大利:2025 年为 GDP 的 1.89%泰国:2025 年为 GDP 的 1.04%
- 军费开支(美元)意大利:2025 年为 US$454亿泰国:2025 年为 US$55.7亿
- 人均军费开支意大利:2025 年为 US$813泰国:2025 年为 US$84
- 军费占政府支出比例意大利:2025 年为 3.7%(占政府支出)泰国:2025 年为 4.4%(占政府支出)
- 武装部队人员意大利:2020 年为 338,000 人泰国:2020 年为 455,000 人
- 国家实力意大利:2022 年为 0.96%(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意大利:2020 年为 1.35%(占劳动力)泰国:2020 年为 1.13%(占劳动力)
- 武器进口意大利:2025 年为 5.66亿 TIV泰国:2025 年为 3300万 TIV
- 武器出口意大利:2025 年为 19.2亿 TIV泰国:2024 年为 1500万 TIV