奥地利与匈牙利对比
奥地利与匈牙利:热带夜
2014 年热带夜:奥地利为 0.8 夜,匈牙利为 9.2 夜(CMIP6 气候模型中位数模拟)。 2014 年匈牙利的数值较高,高出 8.3 夜,是奥地利的 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,匈牙利的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年奥地利为 6.7 夜,匈牙利为 43.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 奥地利 | 匈牙利 |
|---|---|---|
| 2014 | 0.8 | 9.2 |
| 2013 | 0.4 | 5.9 |
| 2012 | 0.5 | 6.9 |
| 2011 | 0.6 | 7.5 |
| 2010 | 0.5 | 8.2 |
| 2009 | 0.3 | 6.3 |
| 2008 | 0.3 | 6.3 |
| 2007 | 0.2 | 4.6 |
| 2006 | 0.4 | 6.3 |
| 2005 | 0.4 | 6.1 |
| 2004 | 0.4 | 5.3 |
| 2003 | 0.3 | 5.3 |
| 2002 | 0.2 | 4.2 |
| 2001 | 0.3 | 3.6 |
| 2000 | 0.3 | 5.5 |
| 1999 | 0.3 | 4.5 |
| 1998 | 0.1 | 2.8 |
| 1997 | 0.1 | 2.1 |
| 1996 | 0.2 | 4.2 |
| 1995 | 0.2 | 3.3 |
| 1994 | 0.1 | 1.9 |
| 1993 | 0 | 1.3 |
| 1992 | 0 | 0.9 |
| 1991 | 0.2 | 2.6 |
| 1990 | 0.2 | 2.2 |
| 1989 | 0.2 | 2 |
| 1988 | 0.1 | 1.3 |
| 1987 | 0.1 | 1.9 |
| 1986 | 0.1 | 1.5 |
| 1985 | 0.1 | 1.5 |
| 1984 | 0 | 1.4 |
| 1983 | 0.1 | 1.3 |
| 1982 | 0 | 0.6 |
| 1981 | 0 | 0.8 |
| 1980 | 0.1 | 1.6 |
| 1979 | 0 | 1 |
| 1978 | 0.1 | 1.8 |
| 1977 | 0 | 0.6 |
| 1976 | 0.1 | 0.9 |
| 1975 | 0.1 | 1.6 |
| 1974 | 0.1 | 1.3 |
| 1973 | 0 | 0.5 |
| 1972 | 0.1 | 0.8 |
| 1971 | 0 | 1.2 |
| 1970 | 0 | 0.9 |
| 1969 | 0.1 | 1.4 |
| 1968 | 0 | 0.9 |
| 1967 | 0.1 | 1.2 |
| 1966 | 0 | 0.8 |
| 1965 | 0 | 0.7 |
| 1964 | 0.1 | 1 |
| 1963 | 0.1 | 0.6 |
| 1962 | 0 | 0.8 |
| 1961 | 0.1 | 1.1 |
| 1960 | 0 | 1.4 |
| 1959 | 0.2 | 2.9 |
| 1958 | 0 | 1 |
| 1957 | 0 | 0.9 |
| 1956 | 0.1 | 1.6 |
| 1955 | 0.1 | 2.4 |
| 1954 | 0 | 0.9 |
| 1953 | 0.1 | 2.8 |
| 1952 | 0.1 | 2.2 |
| 1951 | 0 | 1.1 |
| 1950 | 0.1 | 1.2 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 奥地利 | 匈牙利 |
|---|---|---|
| 2015 | 0.60.1–2 | 9.23.9–21.6 |
| 2016 | 0.70.1–2.6 | 10.12–23.2 |
| 2017 | 0.90.1–3.4 | 10.71.8–25.6 |
| 2018 | 0.80.2–3.2 | 9.23.9–24.6 |
| 2019 | 0.90.2–2.9 | 113.8–22.8 |
| 2020 | 1.30.2–3.4 | 15.53–28.2 |
| 2021 | 0.70.1–3.1 | 10.43.8–22 |
| 2022 | 1.10.1–3.4 | 15.12.2–27 |
| 2023 | 0.90.1–3.9 | 122.6–26.3 |
| 2024 | 0.90.1–3.4 | 13.52.8–25.4 |
| 2025 | 1.60–4 | 16.61.3–29.4 |
| 2026 | 1.40.2–4.4 | 16.14.8–28.1 |
| 2027 | 1.10.1–3.6 | 14.52.9–28.8 |
| 2028 | 1.30.3–4.3 | 14.45.6–31.6 |
| 2029 | 1.50.2–5.5 | 14.74.8–38.3 |
| 2030 | 1.20.1–4.2 | 14.54.1–27.6 |
| 2031 | 1.30.2–4.1 | 14.25.2–29.6 |
| 2032 | 1.50.2–4.9 | 16.75–42.3 |
| 2033 | 1.60.1–5 | 15.72.6–30.5 |
| 2034 | 20.1–5.8 | 18.31.7–33.1 |
| 2035 | 1.90.3–5.3 | 205–38.1 |
| 2036 | 2.30.4–7 | 20.66.9–35.9 |
| 2037 | 2.20.3–6.6 | 22.47.5–34.6 |
| 2038 | 1.90.3–7.1 | 17.26.2–43.1 |
| 2039 | 2.80.3–6.4 | 22.55.2–33.6 |
| 2040 | 2.40.7–5.8 | 20.27.9–36.6 |
| 2041 | 2.40.5–5.5 | 20.76.9–39.4 |
| 2042 | 2.50.4–6.8 | 227.8–35.9 |
| 2043 | 2.70.4–6.2 | 23.79.1–39.1 |
| 2044 | 2.30.6–7.4 | 22.18.4–43.4 |
| 2045 | 2.70.4–6.5 | 234.7–36.5 |
| 2046 | 2.90.4–8.7 | 23.65.6–51.4 |
| 2047 | 3.80.3–8.2 | 26.512.4–50.8 |
| 2048 | 3.20.3–10.2 | 26.78–48.7 |
| 2049 | 3.50.2–7.6 | 26.34.5–42.9 |
| 2050 | 2.81–7 | 26.210.7–43.4 |
| 2051 | 2.40.4–8.2 | 21.98.8–47.7 |
| 2052 | 3.60.5–7.5 | 27.48.5–44.8 |
| 2053 | 2.30.6–6.3 | 22.310.2–41.1 |
| 2054 | 2.70.8–7 | 26.612.4–42.6 |
| 2055 | 3.20.5–9.2 | 24.38.1–47.8 |
| 2056 | 3.61–8.8 | 24.311.6–47.2 |
| 2057 | 3.30.8–7.5 | 25.810.3–43.5 |
| 2058 | 50.3–10.8 | 34.59.2–59 |
| 2059 | 4.40.6–11.5 | 26.49.2–53 |
| 2060 | 3.91.1–10 | 27.413.8–44.2 |
| 2061 | 4.51.4–9.4 | 3214.8–49.3 |
| 2062 | 3.90.9–9.2 | 28.110.6–51.7 |
| 2063 | 5.41.4–11.3 | 31.811.8–53.7 |
| 2064 | 4.70.9–9.9 | 30.115.5–50 |
| 2065 | 51.3–10.6 | 34.113.3–53.2 |
| 2066 | 4.91.2–11.6 | 29.114.4–53.3 |
| 2067 | 5.91.3–13.5 | 34.514.2–61 |
| 2068 | 4.71.6–9.3 | 33.319.5–47.4 |
| 2069 | 5.11.3–10.1 | 34.216.1–52.9 |
| 2070 | 4.41.2–11.6 | 3012.6–53 |
| 2071 | 4.80.5–12.5 | 36.36.3–59.6 |
| 2072 | 5.81.9–10.2 | 39.118.2–56.8 |
| 2073 | 5.31.4–10.5 | 34.116.1–51.2 |
| 2074 | 4.51–11.8 | 33.513.1–57.1 |
| 2075 | 5.61.5–13.6 | 33.716.6–59.2 |
| 2076 | 6.20.9–14.6 | 37.312.1–64.8 |
| 2077 | 4.51.4–12.9 | 34.616.1–53.8 |
| 2078 | 5.61–15 | 3516.2–64.3 |
| 2079 | 6.80.8–17.4 | 39.313–67.8 |
| 2080 | 6.31.8–13.3 | 39.717–60.2 |
| 2081 | 5.71.6–12.9 | 34.315.9–58.5 |
| 2082 | 72.2–16.2 | 39.723–68.6 |
| 2083 | 5.31.5–12.9 | 34.411.2–61 |
| 2084 | 6.11.3–11.5 | 39.917.8–55.1 |
| 2085 | 6.41.9–13.3 | 41.517.4–60.9 |
| 2086 | 6.41.7–15.1 | 41.519.3–66 |
| 2087 | 7.21.4–15.3 | 41.117.7–68.8 |
| 2088 | 72.3–15 | 42.320.8–65.2 |
| 2089 | 6.51.8–19 | 35.714.1–66.5 |
| 2090 | 6.11.9–17.7 | 40.218–69.7 |
| 2091 | 7.91.9–16.7 | 46.918–69.6 |
| 2092 | 6.91.4–14.4 | 42.113.2–63 |
| 2093 | 5.61.4–13.6 | 36.416.8–60.5 |
| 2094 | 8.51.8–15.3 | 42.220.5–66.2 |
| 2095 | 7.21.2–16 | 43.715.5–66.9 |
| 2096 | 6.51–15.2 | 3713.6–70.5 |
| 2097 | 5.41.1–15 | 42.413.4–64 |
| 2098 | 7.62.1–15.1 | 41.816.4–64.6 |
| 2099 | 7.51.3–17.6 | 42.615.9–63 |
| 2100 | 6.72.5–16.1 | 43.321.7–62.7 |
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
奥地利与匈牙利对比
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军用
- 军费开支奥地利:2025 年为 GDP 的 1.1%匈牙利:2025 年为 GDP 的 2.04%
- 军费开支(美元)奥地利:2025 年为 US$58.8亿匈牙利:2025 年为 US$46.2亿
- 人均军费开支奥地利:2025 年为 US$697匈牙利:2025 年为 US$518
- 军费占政府支出比例奥地利:2025 年为 2%(占政府支出)匈牙利:2025 年为 4.3%(占政府支出)
- 武装部队人员奥地利:2020 年为 23,000 人匈牙利:2020 年为 46,000 人
- 国家实力奥地利:2022 年为 0.17%(占全球实力)匈牙利:2022 年为 0.13%(占全球实力)
- 武装部队占劳动力比例奥地利:2020 年为 0.5%(占劳动力)匈牙利:2020 年为 0.95%(占劳动力)
- 武器进口奥地利:2025 年为 2900万 TIV匈牙利:2025 年为 4.02亿 TIV
- 武器出口奥地利:2025 年为 100万 TIV匈牙利:2024 年为 1100万 TIV