德国与罗马尼亚对比
德国与罗马尼亚:热带夜
2014 年热带夜:德国为 0.8 夜,罗马尼亚为 8.3 夜(CMIP6 气候模型中位数模拟)。 2014 年罗马尼亚的数值较高,高出 7.4 夜,是德国的 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,罗马尼亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年德国为 8.8 夜,罗马尼亚为 34.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 德国 | 罗马尼亚 |
|---|---|---|
| 2014 | 0.8 | 8.3 |
| 2013 | 0.7 | 6.7 |
| 2012 | 0.9 | 7 |
| 2011 | 0.5 | 7.6 |
| 2010 | 0.9 | 7.5 |
| 2009 | 0.5 | 6.7 |
| 2008 | 0.2 | 6.7 |
| 2007 | 0.3 | 5.5 |
| 2006 | 0.3 | 7 |
| 2005 | 0.6 | 5.7 |
| 2004 | 0.7 | 5.7 |
| 2003 | 0.6 | 6.1 |
| 2002 | 0.2 | 4.7 |
| 2001 | 0.5 | 4.9 |
| 2000 | 0.2 | 5.8 |
| 1999 | 0.2 | 4.6 |
| 1998 | 0.1 | 3.3 |
| 1997 | 0.1 | 3.2 |
| 1996 | 0.2 | 3.8 |
| 1995 | 0.1 | 3.1 |
| 1994 | 0 | 2.8 |
| 1993 | 0 | 2.5 |
| 1992 | 0 | 1.4 |
| 1991 | 0.1 | 3.1 |
| 1990 | 0.1 | 2.8 |
| 1989 | 0.1 | 2.9 |
| 1988 | 0 | 1.7 |
| 1987 | 0 | 1.9 |
| 1986 | 0 | 2.9 |
| 1985 | 0.1 | 2 |
| 1984 | 0.1 | 2 |
| 1983 | 0 | 1.8 |
| 1982 | 0 | 1.7 |
| 1981 | 0 | 1.7 |
| 1980 | 0 | 2 |
| 1979 | 0 | 2.2 |
| 1978 | 0.1 | 2.3 |
| 1977 | 0 | 1.6 |
| 1976 | 0 | 1.6 |
| 1975 | 0 | 2.3 |
| 1974 | 0.1 | 1.8 |
| 1973 | 0 | 1.4 |
| 1972 | 0 | 1.6 |
| 1971 | 0 | 2.2 |
| 1970 | 0.1 | 1.5 |
| 1969 | 0 | 1.9 |
| 1968 | 0 | 1.9 |
| 1967 | 0 | 1.6 |
| 1966 | 0 | 1.7 |
| 1965 | 0 | 1.6 |
| 1964 | 0 | 1.6 |
| 1963 | 0 | 2.1 |
| 1962 | 0 | 1.8 |
| 1961 | 0 | 2 |
| 1960 | 0 | 2.8 |
| 1959 | 0.1 | 2.9 |
| 1958 | 0 | 2.7 |
| 1957 | 0 | 2.3 |
| 1956 | 0 | 2.2 |
| 1955 | 0 | 2.5 |
| 1954 | 0.1 | 2.1 |
| 1953 | 0 | 2.9 |
| 1952 | 0 | 2.9 |
| 1951 | 0 | 2.2 |
| 1950 | 0 | 2.2 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 德国 | 罗马尼亚 |
|---|---|---|
| 2015 | 0.50–4 | 9.14.3–17.6 |
| 2016 | 0.80–4.3 | 10.33–17.8 |
| 2017 | 0.70–5.1 | 9.63.2–18.6 |
| 2018 | 0.70–3.5 | 9.44–18.2 |
| 2019 | 1.20–5 | 9.74.7–17.9 |
| 2020 | 1.20–5.7 | 12.74.2–21.5 |
| 2021 | 10–6 | 9.94.6–17.8 |
| 2022 | 1.40–5.7 | 11.45–21.3 |
| 2023 | 1.10–5.7 | 11.74–20.9 |
| 2024 | 1.20–5.2 | 13.24.6–19.8 |
| 2025 | 1.90–8.2 | 13.23–22.5 |
| 2026 | 1.90.1–6.5 | 13.94.7–21.4 |
| 2027 | 1.40–4.7 | 11.73.5–20.5 |
| 2028 | 1.50.1–5.5 | 11.96–21.8 |
| 2029 | 20.1–6.4 | 15.78–25 |
| 2030 | 1.60–6.1 | 12.16.9–19.9 |
| 2031 | 1.40–5.4 | 147.9–23.2 |
| 2032 | 1.50.1–7.6 | 15.17–28.4 |
| 2033 | 1.70–6.8 | 15.28.2–23.3 |
| 2034 | 2.10.2–8.3 | 15.37.4–24.3 |
| 2035 | 1.70.1–6.9 | 16.87.2–27.5 |
| 2036 | 2.80.1–7.8 | 178.8–29.9 |
| 2037 | 2.50–9.2 | 17.38.8–26.2 |
| 2038 | 2.20.1–9.7 | 17.19.3–32.2 |
| 2039 | 30–8.9 | 189.2–28.7 |
| 2040 | 2.30.1–7.1 | 17.37.8–27.5 |
| 2041 | 2.40.1–7.9 | 17.610.1–29.5 |
| 2042 | 2.90.4–8.9 | 188.5–29.5 |
| 2043 | 3.10.1–8.7 | 19.411.2–29.3 |
| 2044 | 3.10.2–10.1 | 19.48.6–32.6 |
| 2045 | 30.1–8.7 | 19.78.4–31.7 |
| 2046 | 3.10.5–10.9 | 19.66.4–38.4 |
| 2047 | 4.30.3–10.6 | 2110.4–33.7 |
| 2048 | 3.70.2–12.9 | 23.39.1–36 |
| 2049 | 4.40.2–11.8 | 21.67.7–33.1 |
| 2050 | 3.10.6–9.3 | 21.410.1–34.4 |
| 2051 | 2.70.1–9.5 | 19.810.8–33.1 |
| 2052 | 3.60.2–11.5 | 21.411.4–33 |
| 2053 | 2.30.4–8.7 | 21.513.9–31 |
| 2054 | 3.50.4–10.3 | 23.511.6–33.8 |
| 2055 | 3.30.4–11.3 | 22.110–37.1 |
| 2056 | 4.50.7–14.3 | 2111.8–35 |
| 2057 | 40.4–11.3 | 2310.7–34.5 |
| 2058 | 5.80.7–15.5 | 2510.2–44.3 |
| 2059 | 5.10.1–15.6 | 22.810.2–37.4 |
| 2060 | 4.40.6–12.3 | 23.414.6–36.7 |
| 2061 | 5.31–12.3 | 27.612.5–39.9 |
| 2062 | 5.51.6–14.2 | 24.413.3–37.6 |
| 2063 | 5.20.8–13.8 | 25.712.8–40.4 |
| 2064 | 4.10.5–12.2 | 24.314.4–36.7 |
| 2065 | 4.90.3–15.8 | 26.813.4–38.1 |
| 2066 | 5.30.7–11.8 | 24.313.8–39.6 |
| 2067 | 7.21.4–17.5 | 27.613.4–42.6 |
| 2068 | 3.90.9–11.3 | 28.615.3–38.7 |
| 2069 | 6.11.6–15 | 26.215–44 |
| 2070 | 5.80.6–14.9 | 25.713.6–41.8 |
| 2071 | 6.30.6–16.4 | 26.210.1–41.5 |
| 2072 | 6.21.9–13 | 30.816–44.8 |
| 2073 | 5.51.3–16.2 | 27.512.3–41 |
| 2074 | 5.50.5–16.7 | 26.314.8–42.7 |
| 2075 | 6.21.4–18.3 | 2711.1–43.1 |
| 2076 | 7.41.1–20.1 | 30.712.9–46.3 |
| 2077 | 6.31.1–17.4 | 27.815.9–43 |
| 2078 | 6.50.7–21.4 | 29.516.4–48.8 |
| 2079 | 6.70.6–22.7 | 33.113.3–53.9 |
| 2080 | 6.51.2–14.9 | 31.217.8–44.7 |
| 2081 | 6.60.9–18.5 | 27.416.1–45.5 |
| 2082 | 7.91.4–22.5 | 32.116.4–53.5 |
| 2083 | 7.61.3–16.8 | 29.314.5–47.6 |
| 2084 | 5.91.1–15.9 | 32.718.3–46.8 |
| 2085 | 6.50.9–17.6 | 32.416.5–44.9 |
| 2086 | 7.90.8–23 | 33.217.3–49.4 |
| 2087 | 9.91.1–24.1 | 32.116.5–55.4 |
| 2088 | 8.92–18.4 | 33.618.5–53 |
| 2089 | 8.31.9–19.2 | 29.415.5–50.6 |
| 2090 | 6.20.8–24.1 | 35.319.8–51.4 |
| 2091 | 9.31.3–23.5 | 36.717.6–53.4 |
| 2092 | 8.61.7–19.2 | 32.415.9–49.8 |
| 2093 | 6.20.8–18.2 | 32.116.1–53.4 |
| 2094 | 9.32.4–20.4 | 33.919.7–55 |
| 2095 | 9.51.1–24 | 34.515.5–50.5 |
| 2096 | 8.10.2–21.4 | 31.414.3–53.5 |
| 2097 | 6.40.5–20.1 | 33.415.2–52.1 |
| 2098 | 9.31.4–22.1 | 35.217–51.4 |
| 2099 | 8.11.4–20.8 | 33.516.5–50.6 |
| 2100 | 8.81.9–21.1 | 34.417.5–51.9 |
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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
德国与罗马尼亚对比
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军用
- 军费开支德国:2025 年为 GDP 的 2.27%罗马尼亚:2025 年为 GDP 的 2.28%
- 军费开支(美元)德国:2025 年为 US$1070亿罗马尼亚:2025 年为 US$88.1亿
- 人均军费开支德国:2025 年为 US$1,346罗马尼亚:2025 年为 US$513
- 军费占政府支出比例德国:2025 年为 4.5%(占政府支出)罗马尼亚:2025 年为 5.6%(占政府支出)
- 武装部队人员德国:2020 年为 183,000 人罗马尼亚:2020 年为 128,000 人
- 国家实力德国:2022 年为 1.5%(占全球实力)罗马尼亚:2022 年为 0.23%(占全球实力)
- 武装部队占劳动力比例德国:2020 年为 0.42%(占劳动力)罗马尼亚:2020 年为 1.52%(占劳动力)
- 武器进口德国:2025 年为 16.3亿 TIV罗马尼亚:2025 年为 4.21亿 TIV
- 武器出口德国:2025 年为 17亿 TIV罗马尼亚:2025 年为 1.32亿 TIV