捷克与罗马尼亚对比
捷克与罗马尼亚:热带夜
2014 年热带夜:捷克为 0.3 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 7.9 夜,是捷克的 27 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 年捷克为 7.2 夜,罗马尼亚为 34.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 捷克 | 罗马尼亚 |
|---|---|---|
| 2014 | 0.3 | 8.3 |
| 2013 | 0.1 | 6.7 |
| 2012 | 0.1 | 7 |
| 2011 | 0.3 | 7.6 |
| 2010 | 0.2 | 7.5 |
| 2009 | 0.1 | 6.7 |
| 2008 | 0.1 | 6.7 |
| 2007 | 0 | 5.5 |
| 2006 | 0.1 | 7 |
| 2005 | 0.2 | 5.7 |
| 2004 | 0.2 | 5.7 |
| 2003 | 0.1 | 6.1 |
| 2002 | 0 | 4.7 |
| 2001 | 0.1 | 4.9 |
| 2000 | 0.1 | 5.8 |
| 1999 | 0.1 | 4.6 |
| 1998 | 0 | 3.3 |
| 1997 | 0 | 3.2 |
| 1996 | 0.1 | 3.8 |
| 1995 | 0 | 3.1 |
| 1994 | 0 | 2.8 |
| 1993 | 0 | 2.5 |
| 1992 | 0 | 1.4 |
| 1991 | 0 | 3.1 |
| 1990 | 0.1 | 2.8 |
| 1989 | 0 | 2.9 |
| 1988 | 0 | 1.7 |
| 1987 | 0 | 1.9 |
| 1986 | 0 | 2.9 |
| 1985 | 0 | 2 |
| 1984 | 0 | 2 |
| 1983 | 0 | 1.8 |
| 1982 | 0 | 1.7 |
| 1981 | 0 | 1.7 |
| 1980 | 0 | 2 |
| 1979 | 0 | 2.2 |
| 1978 | 0 | 2.3 |
| 1977 | 0 | 1.6 |
| 1976 | 0 | 1.6 |
| 1975 | 0 | 2.3 |
| 1974 | 0 | 1.8 |
| 1973 | 0 | 1.4 |
| 1972 | 0 | 1.6 |
| 1971 | 0 | 2.2 |
| 1970 | 0 | 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 | 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 | 捷克 | 罗马尼亚 |
|---|---|---|
| 2015 | 0.20–2.3 | 9.14.3–17.6 |
| 2016 | 0.30–2.8 | 10.33–17.8 |
| 2017 | 0.30–3.3 | 9.63.2–18.6 |
| 2018 | 0.50.1–2.9 | 9.44–18.2 |
| 2019 | 0.50–2.6 | 9.74.7–17.9 |
| 2020 | 0.60–3.6 | 12.74.2–21.5 |
| 2021 | 0.40–3.1 | 9.94.6–17.8 |
| 2022 | 0.60–3.6 | 11.45–21.3 |
| 2023 | 0.30–4.1 | 11.74–20.9 |
| 2024 | 0.50–3.4 | 13.24.6–19.8 |
| 2025 | 0.80–4.7 | 13.23–22.5 |
| 2026 | 0.70–4.4 | 13.94.7–21.4 |
| 2027 | 0.70–3.5 | 11.73.5–20.5 |
| 2028 | 0.60.1–4.3 | 11.96–21.8 |
| 2029 | 10–5.4 | 15.78–25 |
| 2030 | 0.70–4.6 | 12.16.9–19.9 |
| 2031 | 0.80–4.5 | 147.9–23.2 |
| 2032 | 0.90–5.8 | 15.17–28.4 |
| 2033 | 0.70–4.5 | 15.28.2–23.3 |
| 2034 | 1.20–6.8 | 15.37.4–24.3 |
| 2035 | 1.20.1–4.2 | 16.87.2–27.5 |
| 2036 | 1.80.1–7.4 | 178.8–29.9 |
| 2037 | 1.50.1–6.6 | 17.38.8–26.2 |
| 2038 | 10–7.7 | 17.19.3–32.2 |
| 2039 | 2.90.1–8.1 | 189.2–28.7 |
| 2040 | 20.2–7 | 17.37.8–27.5 |
| 2041 | 1.70.1–5.8 | 17.610.1–29.5 |
| 2042 | 1.70.1–7.3 | 188.5–29.5 |
| 2043 | 2.10.1–7.9 | 19.411.2–29.3 |
| 2044 | 1.90.2–9.2 | 19.48.6–32.6 |
| 2045 | 2.20.1–7.2 | 19.78.4–31.7 |
| 2046 | 2.40.3–10.2 | 19.66.4–38.4 |
| 2047 | 2.90–8.6 | 2110.4–33.7 |
| 2048 | 3.30.1–12.7 | 23.39.1–36 |
| 2049 | 3.50–9.2 | 21.67.7–33.1 |
| 2050 | 2.20.2–7.9 | 21.410.1–34.4 |
| 2051 | 1.90–9.3 | 19.810.8–33.1 |
| 2052 | 2.50.1–9.4 | 21.411.4–33 |
| 2053 | 1.80.2–6.1 | 21.513.9–31 |
| 2054 | 20.2–8.4 | 23.511.6–33.8 |
| 2055 | 2.70.2–11 | 22.110–37.1 |
| 2056 | 3.20.3–13.3 | 2111.8–35 |
| 2057 | 3.30.2–10 | 2310.7–34.5 |
| 2058 | 4.10.1–13 | 2510.2–44.3 |
| 2059 | 3.90.1–15.1 | 22.810.2–37.4 |
| 2060 | 3.30.4–12.3 | 23.414.6–36.7 |
| 2061 | 4.20.9–11.4 | 27.612.5–39.9 |
| 2062 | 3.20.4–11.3 | 24.413.3–37.6 |
| 2063 | 4.70.7–13.6 | 25.712.8–40.4 |
| 2064 | 40.4–11.6 | 24.314.4–36.7 |
| 2065 | 50.3–12.9 | 26.813.4–38.1 |
| 2066 | 5.40.6–11.8 | 24.313.8–39.6 |
| 2067 | 5.30.4–15.3 | 27.613.4–42.6 |
| 2068 | 3.70.5–10.3 | 28.615.3–38.7 |
| 2069 | 4.70.4–13 | 26.215–44 |
| 2070 | 3.90.2–14.6 | 25.713.6–41.8 |
| 2071 | 3.50.3–14.7 | 26.210.1–41.5 |
| 2072 | 5.11.3–11.9 | 30.816–44.8 |
| 2073 | 50.8–13.8 | 27.512.3–41 |
| 2074 | 3.90.3–15 | 26.314.8–42.7 |
| 2075 | 5.40.6–16.8 | 2711.1–43.1 |
| 2076 | 60.4–18.6 | 30.712.9–46.3 |
| 2077 | 4.60.9–15.6 | 27.815.9–43 |
| 2078 | 6.60.5–17.7 | 29.516.4–48.8 |
| 2079 | 6.80.2–24.8 | 33.113.3–53.9 |
| 2080 | 6.71.4–15.8 | 31.217.8–44.7 |
| 2081 | 5.30.7–18.2 | 27.416.1–45.5 |
| 2082 | 7.51.2–23.7 | 32.116.4–53.5 |
| 2083 | 5.60.5–14.7 | 29.314.5–47.6 |
| 2084 | 5.40.5–14.1 | 32.718.3–46.8 |
| 2085 | 6.30.5–15.8 | 32.416.5–44.9 |
| 2086 | 6.10.6–18.8 | 33.217.3–49.4 |
| 2087 | 8.60.8–20.4 | 32.116.5–55.4 |
| 2088 | 6.11.3–18.1 | 33.618.5–53 |
| 2089 | 6.90.8–22.6 | 29.415.5–50.6 |
| 2090 | 5.10.9–24.8 | 35.319.8–51.4 |
| 2091 | 6.70.8–21.6 | 36.717.6–53.4 |
| 2092 | 7.21–17.8 | 32.415.9–49.8 |
| 2093 | 5.30.4–17 | 32.116.1–53.4 |
| 2094 | 9.90.9–17.1 | 33.919.7–55 |
| 2095 | 8.10.4–19.4 | 34.515.5–50.5 |
| 2096 | 5.90.3–15.9 | 31.414.3–53.5 |
| 2097 | 4.90.3–18.4 | 33.415.2–52.1 |
| 2098 | 81.2–19.4 | 35.217–51.4 |
| 2099 | 7.50.5–22.2 | 33.516.5–50.6 |
| 2100 | 7.21.6–19.4 | 34.417.5–51.9 |
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
捷克与罗马尼亚对比
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军用
- 军费开支捷克:2025 年为 GDP 的 1.84%罗马尼亚:2025 年为 GDP 的 2.28%
- 军费开支(美元)捷克:2025 年为 US$64.9亿罗马尼亚:2025 年为 US$88.1亿
- 人均军费开支捷克:2025 年为 US$660罗马尼亚:2025 年为 US$513
- 军费占政府支出比例捷克:2025 年为 4.2%(占政府支出)罗马尼亚:2025 年为 5.6%(占政府支出)
- 武装部队人员捷克:2020 年为 27,000 人罗马尼亚:2020 年为 128,000 人
- 国家实力捷克:2022 年为 0.16%(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捷克:2020 年为 0.51%(占劳动力)罗马尼亚:2020 年为 1.52%(占劳动力)
- 武器进口捷克:2025 年为 1900万 TIV罗马尼亚:2025 年为 4.21亿 TIV
- 武器出口捷克:2025 年为 1.37亿 TIV罗马尼亚:2025 年为 1.32亿 TIV