法国与葡萄牙对比
法国与葡萄牙:热带夜
2014 年热带夜:法国为 3.1 夜,葡萄牙为 8.9 夜(CMIP6 气候模型中位数模拟)。 2014 年葡萄牙的数值较高,高出 5.9 夜,是法国的 2.92 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,葡萄牙的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年法国为 19.2 夜,葡萄牙为 32.7 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 法国 | 葡萄牙 |
|---|---|---|
| 2014 | 3.1 | 8.9 |
| 2013 | 3.1 | 11 |
| 2012 | 2.9 | 8.4 |
| 2011 | 2.7 | 8.3 |
| 2010 | 3.9 | 8 |
| 2009 | 2.5 | 9.1 |
| 2008 | 2.4 | 8.3 |
| 2007 | 2.1 | 8.2 |
| 2006 | 2.6 | 9.9 |
| 2005 | 2.9 | 10.2 |
| 2004 | 2.7 | 8.6 |
| 2003 | 2.6 | 6.4 |
| 2002 | 1.8 | 8.4 |
| 2001 | 2.3 | 8.5 |
| 2000 | 1.8 | 7.1 |
| 1999 | 2.1 | 7.9 |
| 1998 | 1.5 | 6.1 |
| 1997 | 1.6 | 6 |
| 1996 | 1.5 | 5.9 |
| 1995 | 1.3 | 5.4 |
| 1994 | 1.5 | 5.3 |
| 1993 | 1.1 | 4.9 |
| 1992 | 1 | 4.6 |
| 1991 | 1.8 | 5.8 |
| 1990 | 1.9 | 5.9 |
| 1989 | 1.2 | 6.1 |
| 1988 | 1.2 | 6.7 |
| 1987 | 1.3 | 5.9 |
| 1986 | 0.9 | 4.4 |
| 1985 | 0.9 | 3.8 |
| 1984 | 1.1 | 3.9 |
| 1983 | 1.1 | 3.5 |
| 1982 | 1 | 3.9 |
| 1981 | 1.1 | 4.3 |
| 1980 | 1.2 | 4.6 |
| 1979 | 0.9 | 4.9 |
| 1978 | 1.3 | 5.4 |
| 1977 | 0.9 | 5.3 |
| 1976 | 0.8 | 3.7 |
| 1975 | 0.9 | 4.5 |
| 1974 | 1.2 | 5.1 |
| 1973 | 0.9 | 4.4 |
| 1972 | 0.9 | 3.6 |
| 1971 | 1 | 3.1 |
| 1970 | 0.9 | 3.5 |
| 1969 | 1 | 3.5 |
| 1968 | 0.9 | 4.1 |
| 1967 | 0.8 | 4.3 |
| 1966 | 0.8 | 3.6 |
| 1965 | 0.7 | 3.8 |
| 1964 | 1 | 4 |
| 1963 | 0.9 | 3.5 |
| 1962 | 1.1 | 4 |
| 1961 | 0.9 | 4.5 |
| 1960 | 1.1 | 4.3 |
| 1959 | 1.2 | 4.4 |
| 1958 | 1 | 4.3 |
| 1957 | 1 | 4.3 |
| 1956 | 1.2 | 4.8 |
| 1955 | 1.1 | 5.3 |
| 1954 | 1.3 | 3.8 |
| 1953 | 1 | 4.1 |
| 1952 | 1.3 | 5 |
| 1951 | 1.1 | 4.8 |
| 1950 | 1.2 | 5 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 法国 | 葡萄牙 |
|---|---|---|
| 2015 | 3.61.5–8.6 | 9.43.5–20.8 |
| 2016 | 4.11.5–9.9 | 10.34.5–24.3 |
| 2017 | 3.51.3–10.2 | 10.53.4–20.4 |
| 2018 | 3.91.7–10.8 | 12.75–22.8 |
| 2019 | 4.51.6–9 | 11.84.8–22.7 |
| 2020 | 4.11.6–10.5 | 11.74.2–21 |
| 2021 | 4.51.3–13.2 | 12.45–23.7 |
| 2022 | 51.5–12.5 | 12.63.7–28.4 |
| 2023 | 4.81.6–12.5 | 12.85–26.8 |
| 2024 | 5.51.8–11.2 | 146–25.2 |
| 2025 | 5.81.5–12.1 | 12.85–27 |
| 2026 | 6.22.1–12.7 | 13.14.9–24.5 |
| 2027 | 5.41.7–11.2 | 14.96.2–29.8 |
| 2028 | 5.91.7–13.3 | 14.24.7–28.8 |
| 2029 | 6.31.9–12.6 | 14.63.9–29.5 |
| 2030 | 5.82.1–11.9 | 13.75.7–28 |
| 2031 | 5.92–11.8 | 15.15.7–29.2 |
| 2032 | 5.92.7–12.9 | 15.77.3–29.6 |
| 2033 | 72.5–13.6 | 15.27.4–30.1 |
| 2034 | 7.92.4–17.3 | 17.97.1–33.7 |
| 2035 | 6.92.4–14.4 | 166.4–28 |
| 2036 | 7.32.6–14.6 | 186.9–29.3 |
| 2037 | 7.32.6–13.3 | 186.4–31.9 |
| 2038 | 6.53–15.1 | 16.68.6–31.6 |
| 2039 | 6.92.6–14.3 | 178.4–30.3 |
| 2040 | 7.72.3–16 | 14.64.6–29.1 |
| 2041 | 8.12.6–15.2 | 17.47.4–28.1 |
| 2042 | 6.93–16 | 16.57.6–30.1 |
| 2043 | 7.92.8–15.6 | 19.38.9–34 |
| 2044 | 7.93.1–16.6 | 17.98.7–29.9 |
| 2045 | 9.23.2–19.6 | 20.38–37.2 |
| 2046 | 8.93.2–17.6 | 19.210.1–34.4 |
| 2047 | 9.74–19.2 | 19.19–36.2 |
| 2048 | 9.13.4–17 | 20.39–33 |
| 2049 | 10.13.7–20.8 | 22.99.6–37.8 |
| 2050 | 10.94.8–18.9 | 23.612–45.8 |
| 2051 | 9.23.5–18.4 | 19.87–36.6 |
| 2052 | 103.4–21.2 | 20.98.5–40.7 |
| 2053 | 8.73.8–18 | 22.49.7–38.6 |
| 2054 | 9.74.4–19.2 | 21.19.4–36.7 |
| 2055 | 9.93.9–17.2 | 20.98.3–37.1 |
| 2056 | 114.3–21.8 | 21.810.3–39.6 |
| 2057 | 10.94.2–19.8 | 23.710.6–40.7 |
| 2058 | 13.85.1–25.7 | 23.79.8–40.6 |
| 2059 | 11.23.3–25 | 24.510.8–42.2 |
| 2060 | 12.86.1–22 | 26.513.1–42.5 |
| 2061 | 12.64.7–23.2 | 30.315.3–47.5 |
| 2062 | 12.36.2–22.4 | 24.212.1–44.8 |
| 2063 | 125.2–24.9 | 28.410–48.2 |
| 2064 | 125.3–21.6 | 24.710.8–48.4 |
| 2065 | 12.53.9–30.8 | 23.69–53.6 |
| 2066 | 11.55.3–22.1 | 28.113.3–45.9 |
| 2067 | 18.38.1–33.3 | 26.813.4–44.5 |
| 2068 | 135.4–23.4 | 25.810.8–49.6 |
| 2069 | 15.65.7–25.5 | 28.212.4–48.6 |
| 2070 | 13.55.2–29.1 | 28.313.4–51.9 |
| 2071 | 154.4–30.2 | 26.912.2–50.6 |
| 2072 | 15.57.4–26 | 29.714–51.9 |
| 2073 | 13.96–29.1 | 31.213–55.7 |
| 2074 | 12.84.3–27.3 | 28.213.4–48.8 |
| 2075 | 13.96.3–25.6 | 27.812.1–46.7 |
| 2076 | 166.1–33.8 | 28.813–55.8 |
| 2077 | 13.25–29.8 | 32.113.4–50.8 |
| 2078 | 13.75.1–33.6 | 30.212.7–52.8 |
| 2079 | 12.95.3–28.4 | 27.612.5–48.2 |
| 2080 | 14.45.4–27.9 | 31.214.9–54 |
| 2081 | 15.15.8–29.8 | 30.314.6–52.3 |
| 2082 | 16.46.1–33.9 | 30.912.8–46.6 |
| 2083 | 15.97.9–32 | 33.215.1–53.3 |
| 2084 | 14.16.6–27.7 | 31.616.5–50.1 |
| 2085 | 16.57.3–30.2 | 32.215.9–57.9 |
| 2086 | 19.55.5–32.4 | 40.312.5–61.2 |
| 2087 | 196.9–38 | 36.814.6–63.1 |
| 2088 | 18.47.7–35.2 | 35.514.3–56.2 |
| 2089 | 1910.6–29.3 | 32.814–53.5 |
| 2090 | 16.36.8–33.5 | 34.515.1–64.4 |
| 2091 | 19.77.6–32.3 | 35.316–57.3 |
| 2092 | 17.36.1–32.7 | 3414.6–59.9 |
| 2093 | 156.5–29.8 | 33.416.6–51.6 |
| 2094 | 18.68.5–32.8 | 35.313.2–59.6 |
| 2095 | 19.25.9–38.9 | 34.215–59.2 |
| 2096 | 19.37.6–35.5 | 37.917–57.7 |
| 2097 | 17.36.2–36.1 | 35.615.2–59.9 |
| 2098 | 18.16.9–36.3 | 32.714.1–62.8 |
| 2099 | 20.37.4–34.6 | 37.719.3–59.8 |
| 2100 | 19.27–36.7 | 32.716.6–60.5 |
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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
法国与葡萄牙对比
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军用
- 军费开支法国:2025 年为 GDP 的 2.03%葡萄牙:2025 年为 GDP 的 1.71%
- 军费开支(美元)法国:2025 年为 US$645亿葡萄牙:2025 年为 US$55.1亿
- 人均军费开支法国:2025 年为 US$1,021葡萄牙:2025 年为 US$563
- 军费占政府支出比例法国:2025 年为 3.5%(占政府支出)葡萄牙:2025 年为 4%(占政府支出)
- 武装部队人员法国:2020 年为 304,000 人葡萄牙:2020 年为 52,000 人
- 国家实力法国:2022 年为 1.09%(占全球实力)葡萄牙:2022 年为 0.12%(占全球实力)
- 武装部队占劳动力比例法国:2020 年为 1%(占劳动力)葡萄牙:2020 年为 1.01%(占劳动力)
- 武器进口法国:2025 年为 2.36亿 TIV葡萄牙:2025 年为 9000万 TIV
- 武器出口法国:2025 年为 33.7亿 TIV葡萄牙:2025 年为 100万 TIV