比利时与葡萄牙对比
比利时与葡萄牙:热带夜
2014 年热带夜:比利时为 0.2 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 8.7 夜,是比利时的 37 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 年比利时为 7.7 夜,葡萄牙为 32.7 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 比利时 | 葡萄牙 |
|---|---|---|
| 2014 | 0.2 | 8.9 |
| 2013 | 0.5 | 11 |
| 2012 | 0.5 | 8.4 |
| 2011 | 0.1 | 8.3 |
| 2010 | 0.6 | 8 |
| 2009 | 0.1 | 9.1 |
| 2008 | 0 | 8.3 |
| 2007 | 0 | 8.2 |
| 2006 | 0 | 9.9 |
| 2005 | 0.3 | 10.2 |
| 2004 | 0.1 | 8.6 |
| 2003 | 0.4 | 6.4 |
| 2002 | 0 | 8.4 |
| 2001 | 0 | 8.5 |
| 2000 | 0 | 7.1 |
| 1999 | 0.2 | 7.9 |
| 1998 | 0 | 6.1 |
| 1997 | 0 | 6 |
| 1996 | 0 | 5.9 |
| 1995 | 0 | 5.4 |
| 1994 | 0 | 5.3 |
| 1993 | 0 | 4.9 |
| 1992 | 0 | 4.6 |
| 1991 | 0 | 5.8 |
| 1990 | 0 | 5.9 |
| 1989 | 0 | 6.1 |
| 1988 | 0 | 6.7 |
| 1987 | 0 | 5.9 |
| 1986 | 0 | 4.4 |
| 1985 | 0 | 3.8 |
| 1984 | 0 | 3.9 |
| 1983 | 0 | 3.5 |
| 1982 | 0 | 3.9 |
| 1981 | 0 | 4.3 |
| 1980 | 0 | 4.6 |
| 1979 | 0 | 4.9 |
| 1978 | 0 | 5.4 |
| 1977 | 0 | 5.3 |
| 1976 | 0 | 3.7 |
| 1975 | 0 | 4.5 |
| 1974 | 0 | 5.1 |
| 1973 | 0 | 4.4 |
| 1972 | 0 | 3.6 |
| 1971 | 0 | 3.1 |
| 1970 | 0 | 3.5 |
| 1969 | 0 | 3.5 |
| 1968 | 0 | 4.1 |
| 1967 | 0 | 4.3 |
| 1966 | 0 | 3.6 |
| 1965 | 0 | 3.8 |
| 1964 | 0 | 4 |
| 1963 | 0 | 3.5 |
| 1962 | 0 | 4 |
| 1961 | 0 | 4.5 |
| 1960 | 0 | 4.3 |
| 1959 | 0 | 4.4 |
| 1958 | 0 | 4.3 |
| 1957 | 0 | 4.3 |
| 1956 | 0 | 4.8 |
| 1955 | 0 | 5.3 |
| 1954 | 0 | 3.8 |
| 1953 | 0 | 4.1 |
| 1952 | 0 | 5 |
| 1951 | 0 | 4.8 |
| 1950 | 0 | 5 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 比利时 | 葡萄牙 |
|---|---|---|
| 2015 | 0.10–3.4 | 9.43.5–20.8 |
| 2016 | 0.40–3.5 | 10.34.5–24.3 |
| 2017 | 0.30–4.5 | 10.53.4–20.4 |
| 2018 | 0.30–2.1 | 12.75–22.8 |
| 2019 | 0.40–3 | 11.84.8–22.7 |
| 2020 | 0.40–4.4 | 11.74.2–21 |
| 2021 | 0.30–3.8 | 12.45–23.7 |
| 2022 | 0.70–4.2 | 12.63.7–28.4 |
| 2023 | 0.60–4.8 | 12.85–26.8 |
| 2024 | 0.70–4.7 | 146–25.2 |
| 2025 | 1.30–5.8 | 12.85–27 |
| 2026 | 1.20–5.5 | 13.14.9–24.5 |
| 2027 | 0.80–3.6 | 14.96.2–29.8 |
| 2028 | 0.60–6 | 14.24.7–28.8 |
| 2029 | 1.10–4.6 | 14.63.9–29.5 |
| 2030 | 0.90–4 | 13.75.7–28 |
| 2031 | 0.70–4 | 15.15.7–29.2 |
| 2032 | 0.70–5.4 | 15.77.3–29.6 |
| 2033 | 0.90–5 | 15.27.4–30.1 |
| 2034 | 1.50–8.7 | 17.97.1–33.7 |
| 2035 | 1.20–7.3 | 166.4–28 |
| 2036 | 1.50–6.5 | 186.9–29.3 |
| 2037 | 1.60–7.1 | 186.4–31.9 |
| 2038 | 0.90–10.4 | 16.68.6–31.6 |
| 2039 | 0.90–5.5 | 178.4–30.3 |
| 2040 | 10–6.1 | 14.64.6–29.1 |
| 2041 | 1.80–7.2 | 17.47.4–28.1 |
| 2042 | 1.10–5.5 | 16.57.6–30.1 |
| 2043 | 1.80–6 | 19.38.9–34 |
| 2044 | 1.60.1–7.4 | 17.98.7–29.9 |
| 2045 | 2.10–7.4 | 20.38–37.2 |
| 2046 | 1.40.1–8 | 19.210.1–34.4 |
| 2047 | 2.50.1–8.4 | 19.19–36.2 |
| 2048 | 2.20–10.9 | 20.39–33 |
| 2049 | 2.70–9.2 | 22.99.6–37.8 |
| 2050 | 2.90.1–7.7 | 23.612–45.8 |
| 2051 | 1.70.1–6.5 | 19.87–36.6 |
| 2052 | 1.80–10.1 | 20.98.5–40.7 |
| 2053 | 1.20–7 | 22.49.7–38.6 |
| 2054 | 2.40.3–9.6 | 21.19.4–36.7 |
| 2055 | 1.80–5.7 | 20.98.3–37.1 |
| 2056 | 3.50.1–10.1 | 21.810.3–39.6 |
| 2057 | 2.70–9.4 | 23.710.6–40.7 |
| 2058 | 4.30.2–12.1 | 23.79.8–40.6 |
| 2059 | 2.70–11.7 | 24.510.8–42.2 |
| 2060 | 2.90.1–10.7 | 26.513.1–42.5 |
| 2061 | 30.2–11.5 | 30.315.3–47.5 |
| 2062 | 4.10.3–11.8 | 24.212.1–44.8 |
| 2063 | 2.30.2–11 | 28.410–48.2 |
| 2064 | 2.10.3–8.1 | 24.710.8–48.4 |
| 2065 | 30.1–14.1 | 23.69–53.6 |
| 2066 | 2.20–8.7 | 28.113.3–45.9 |
| 2067 | 6.60.7–16.4 | 26.813.4–44.5 |
| 2068 | 1.90–7.8 | 25.810.8–49.6 |
| 2069 | 4.20.7–11.9 | 28.212.4–48.6 |
| 2070 | 3.90.1–13.1 | 28.313.4–51.9 |
| 2071 | 4.20.1–13.5 | 26.912.2–50.6 |
| 2072 | 4.51.3–10.4 | 29.714–51.9 |
| 2073 | 3.70.1–15.1 | 31.213–55.7 |
| 2074 | 40.3–12.8 | 28.213.4–48.8 |
| 2075 | 3.60.2–15 | 27.812.1–46.7 |
| 2076 | 5.10.2–15.2 | 28.813–55.8 |
| 2077 | 4.40–14.7 | 32.113.4–50.8 |
| 2078 | 5.40.1–17.8 | 30.212.7–52.8 |
| 2079 | 3.10.3–13.4 | 27.612.5–48.2 |
| 2080 | 4.60.3–12 | 31.214.9–54 |
| 2081 | 5.50.1–14.9 | 30.314.6–52.3 |
| 2082 | 4.60.3–18.7 | 30.912.8–46.6 |
| 2083 | 4.50.7–14.2 | 33.215.1–53.3 |
| 2084 | 3.10.3–14 | 31.616.5–50.1 |
| 2085 | 40.3–16.3 | 32.215.9–57.9 |
| 2086 | 7.10.2–19.4 | 40.312.5–61.2 |
| 2087 | 7.30.2–23.2 | 36.814.6–63.1 |
| 2088 | 6.61.2–19.7 | 35.514.3–56.2 |
| 2089 | 5.71.2–11.1 | 32.814–53.5 |
| 2090 | 3.90–16.8 | 34.515.1–64.4 |
| 2091 | 7.60.2–16.1 | 35.316–57.3 |
| 2092 | 5.60.1–15 | 3414.6–59.9 |
| 2093 | 3.70.3–13.6 | 33.416.6–51.6 |
| 2094 | 61.5–17 | 35.313.2–59.6 |
| 2095 | 7.10.2–17.3 | 34.215–59.2 |
| 2096 | 6.70.1–18.3 | 37.917–57.7 |
| 2097 | 3.30.2–17.2 | 35.615.2–59.9 |
| 2098 | 5.90.4–17.2 | 32.714.1–62.8 |
| 2099 | 4.90.1–22 | 37.719.3–59.8 |
| 2100 | 7.70.5–15.1 | 32.716.6–60.5 |
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
比利时与葡萄牙对比
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军用
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- 武装部队占劳动力比例比利时:2020 年为 0.47%(占劳动力)葡萄牙:2020 年为 1.01%(占劳动力)
- 武器进口比利时:2025 年为 4.3亿 TIV葡萄牙:2025 年为 9000万 TIV
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