匈牙利与斯洛伐克对比
匈牙利与斯洛伐克:热带夜
2014 年热带夜:匈牙利为 9.2 夜,斯洛伐克为 1.6 夜(CMIP6 气候模型中位数模拟)。 2014 年匈牙利的数值较高,高出 7.6 夜,是斯洛伐克的 5.87 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 年匈牙利为 43.3 夜,斯洛伐克为 13.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 匈牙利 | 斯洛伐克 |
|---|---|---|
| 2014 | 9.2 | 1.6 |
| 2013 | 5.9 | 0.8 |
| 2012 | 6.9 | 0.9 |
| 2011 | 7.5 | 1.1 |
| 2010 | 8.2 | 1.1 |
| 2009 | 6.3 | 0.8 |
| 2008 | 6.3 | 0.6 |
| 2007 | 4.6 | 0.7 |
| 2006 | 6.3 | 0.9 |
| 2005 | 6.1 | 1 |
| 2004 | 5.3 | 0.8 |
| 2003 | 5.3 | 0.7 |
| 2002 | 4.2 | 0.6 |
| 2001 | 3.6 | 0.7 |
| 2000 | 5.5 | 0.7 |
| 1999 | 4.5 | 0.7 |
| 1998 | 2.8 | 0.2 |
| 1997 | 2.1 | 0.3 |
| 1996 | 4.2 | 0.5 |
| 1995 | 3.3 | 0.5 |
| 1994 | 1.9 | 0.2 |
| 1993 | 1.3 | 0.1 |
| 1992 | 0.9 | 0.1 |
| 1991 | 2.6 | 0.4 |
| 1990 | 2.2 | 0.3 |
| 1989 | 2 | 0.3 |
| 1988 | 1.3 | 0.2 |
| 1987 | 1.9 | 0.2 |
| 1986 | 1.5 | 0.1 |
| 1985 | 1.5 | 0.1 |
| 1984 | 1.4 | 0.1 |
| 1983 | 1.3 | 0.1 |
| 1982 | 0.6 | 0 |
| 1981 | 0.8 | 0.1 |
| 1980 | 1.6 | 0.2 |
| 1979 | 1 | 0.1 |
| 1978 | 1.8 | 0.2 |
| 1977 | 0.6 | 0.1 |
| 1976 | 0.9 | 0.1 |
| 1975 | 1.6 | 0.2 |
| 1974 | 1.3 | 0.1 |
| 1973 | 0.5 | 0 |
| 1972 | 0.8 | 0.1 |
| 1971 | 1.2 | 0.1 |
| 1970 | 0.9 | 0.1 |
| 1969 | 1.4 | 0.2 |
| 1968 | 0.9 | 0.1 |
| 1967 | 1.2 | 0.1 |
| 1966 | 0.8 | 0.1 |
| 1965 | 0.7 | 0.1 |
| 1964 | 1 | 0.1 |
| 1963 | 0.6 | 0.1 |
| 1962 | 0.8 | 0.1 |
| 1961 | 1.1 | 0.1 |
| 1960 | 1.4 | 0.1 |
| 1959 | 2.9 | 0.4 |
| 1958 | 1 | 0.1 |
| 1957 | 0.9 | 0.1 |
| 1956 | 1.6 | 0.2 |
| 1955 | 2.4 | 0.2 |
| 1954 | 0.9 | 0.1 |
| 1953 | 2.8 | 0.2 |
| 1952 | 2.2 | 0.3 |
| 1951 | 1.1 | 0.1 |
| 1950 | 1.2 | 0.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 匈牙利 | 斯洛伐克 |
|---|---|---|
| 2015 | 9.23.9–21.6 | 1.60.4–4 |
| 2016 | 10.12–23.2 | 1.60.2–5.2 |
| 2017 | 10.71.8–25.6 | 1.80.1–5.8 |
| 2018 | 9.23.9–24.6 | 1.80.5–6.2 |
| 2019 | 113.8–22.8 | 1.80.4–5.4 |
| 2020 | 15.53–28.2 | 3.10.4–6.7 |
| 2021 | 10.43.8–22 | 1.60.4–5.7 |
| 2022 | 15.12.2–27 | 2.40.3–6.2 |
| 2023 | 122.6–26.3 | 20.1–6.7 |
| 2024 | 13.52.8–25.4 | 2.10.3–5.7 |
| 2025 | 16.61.3–29.4 | 3.20.1–8.2 |
| 2026 | 16.14.8–28.1 | 2.70.6–7.1 |
| 2027 | 14.52.9–28.8 | 2.80.3–6.4 |
| 2028 | 14.45.6–31.6 | 2.70.8–8.3 |
| 2029 | 14.74.8–38.3 | 2.80.4–9.6 |
| 2030 | 14.54.1–27.6 | 2.40.5–8.1 |
| 2031 | 14.25.2–29.6 | 2.90.5–6.9 |
| 2032 | 16.75–42.3 | 2.90.4–9.7 |
| 2033 | 15.72.6–30.5 | 30.4–7.7 |
| 2034 | 18.31.7–33.1 | 3.70.1–8.6 |
| 2035 | 205–38.1 | 3.90.6–10.5 |
| 2036 | 20.66.9–35.9 | 4.41–11.6 |
| 2037 | 22.47.5–34.6 | 4.41.1–10.5 |
| 2038 | 17.26.2–43.1 | 3.60.6–12.3 |
| 2039 | 22.55.2–33.6 | 5.40.7–11.1 |
| 2040 | 20.27.9–36.6 | 4.21.2–10.9 |
| 2041 | 20.76.9–39.4 | 50.9–10.5 |
| 2042 | 227.8–35.9 | 4.80.8–10.7 |
| 2043 | 23.79.1–39.1 | 51–11.7 |
| 2044 | 22.18.4–43.4 | 4.81.2–13.7 |
| 2045 | 234.7–36.5 | 5.10.7–10.5 |
| 2046 | 23.65.6–51.4 | 5.30.7–16 |
| 2047 | 26.512.4–50.8 | 6.71.7–16.4 |
| 2048 | 26.78–48.7 | 70.9–16.4 |
| 2049 | 26.34.5–42.9 | 6.20.4–13.6 |
| 2050 | 26.210.7–43.4 | 5.31.6–13 |
| 2051 | 21.98.8–47.7 | 4.41.4–16.6 |
| 2052 | 27.48.5–44.8 | 6.61.4–14 |
| 2053 | 22.310.2–41.1 | 4.41.8–10.9 |
| 2054 | 26.612.4–42.6 | 5.81.9–13.6 |
| 2055 | 24.38.1–47.8 | 5.91.2–15.3 |
| 2056 | 24.311.6–47.2 | 6.31.7–14.6 |
| 2057 | 25.810.3–43.5 | 6.21.7–13.5 |
| 2058 | 34.59.2–59 | 8.51.2–19.2 |
| 2059 | 26.49.2–53 | 6.21.4–19.1 |
| 2060 | 27.413.8–44.2 | 6.82.2–15.8 |
| 2061 | 3214.8–49.3 | 8.52.9–15.8 |
| 2062 | 28.110.6–51.7 | 6.21.9–15.4 |
| 2063 | 31.811.8–53.7 | 8.82.5–17.6 |
| 2064 | 30.115.5–50 | 8.22.1–16.5 |
| 2065 | 34.113.3–53.2 | 8.42.6–17.8 |
| 2066 | 29.114.4–53.3 | 7.62.5–18 |
| 2067 | 34.514.2–61 | 9.42.1–20.4 |
| 2068 | 33.319.5–47.4 | 8.22.5–15.2 |
| 2069 | 34.216.1–52.9 | 9.12.7–20.9 |
| 2070 | 3012.6–53 | 7.51.9–19.5 |
| 2071 | 36.36.3–59.6 | 7.70.8–19.8 |
| 2072 | 39.118.2–56.8 | 9.53.3–17 |
| 2073 | 34.116.1–51.2 | 8.42.7–18.4 |
| 2074 | 33.513.1–57.1 | 8.82–20.6 |
| 2075 | 33.716.6–59.2 | 9.42.8–22 |
| 2076 | 37.312.1–64.8 | 10.92–24 |
| 2077 | 34.616.1–53.8 | 8.52.5–20.2 |
| 2078 | 3516.2–64.3 | 9.62.4–23.3 |
| 2079 | 39.313–67.8 | 11.41.6–31 |
| 2080 | 39.717–60.2 | 11.23.3–21.4 |
| 2081 | 34.315.9–58.5 | 8.93.1–24.5 |
| 2082 | 39.723–68.6 | 11.74.1–30.6 |
| 2083 | 34.411.2–61 | 101.7–21.2 |
| 2084 | 39.917.8–55.1 | 10.62.8–20.7 |
| 2085 | 41.517.4–60.9 | 11.33.7–23.3 |
| 2086 | 41.519.3–66 | 11.63–27.6 |
| 2087 | 41.117.7–68.8 | 11.63.1–28.3 |
| 2088 | 42.320.8–65.2 | 11.74.7–24.9 |
| 2089 | 35.714.1–66.5 | 10.62.5–28.2 |
| 2090 | 40.218–69.7 | 103.1–29.2 |
| 2091 | 46.918–69.6 | 14.72.7–28 |
| 2092 | 42.113.2–63 | 12.52.6–23.4 |
| 2093 | 36.416.8–60.5 | 9.93–24 |
| 2094 | 42.220.5–66.2 | 13.63.1–26.8 |
| 2095 | 43.715.5–66.9 | 13.32–26.1 |
| 2096 | 3713.6–70.5 | 11.12.1–23.9 |
| 2097 | 42.413.4–64 | 10.32.2–24.7 |
| 2098 | 41.816.4–64.6 | 123.8–25.1 |
| 2099 | 42.615.9–63 | 11.72–28.4 |
| 2100 | 43.321.7–62.7 | 13.44.1–23.1 |
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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
匈牙利与斯洛伐克对比
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军用
- 军费开支匈牙利:2025 年为 GDP 的 2.04%斯洛伐克:2025 年为 GDP 的 2.03%
- 军费开支(美元)匈牙利:2025 年为 US$46.2亿斯洛伐克:2025 年为 US$28.7亿
- 人均军费开支匈牙利:2025 年为 US$518斯洛伐克:2025 年为 US$568
- 军费占政府支出比例匈牙利:2025 年为 4.3%(占政府支出)斯洛伐克:2025 年为 4.2%(占政府支出)
- 武装部队人员匈牙利:2020 年为 46,000 人斯洛伐克:2020 年为 18,000 人
- 国家实力匈牙利:2022 年为 0.13%(占全球实力)斯洛伐克:2022 年为 0.1%(占全球实力)
- 武装部队占劳动力比例匈牙利:2020 年为 0.95%(占劳动力)斯洛伐克:2020 年为 0.67%(占劳动力)
- 武器进口匈牙利:2025 年为 4.02亿 TIV斯洛伐克:2025 年为 4.45亿 TIV
- 武器出口匈牙利:2024 年为 1100万 TIV斯洛伐克:2025 年为 900万 TIV