匈牙利与塞尔维亚对比
匈牙利与塞尔维亚:热带夜
2014 年热带夜:匈牙利为 9.2 夜,塞尔维亚为 7.7 夜(CMIP6 气候模型中位数模拟)。 2014 年匈牙利的数值较高,高出 1.5 夜,是塞尔维亚的 1.19 倍。
每年夜数 · CMIP6
数据解读
- 自 2012 年超过塞尔维亚以来,匈牙利的数值一直更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年匈牙利为 43.3 夜,塞尔维亚为 39.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 匈牙利 | 塞尔维亚 |
|---|---|---|
| 2014 | 9.2 | 7.7 |
| 2013 | 5.9 | 5.4 |
| 2012 | 6.9 | 6.9 |
| 2011 | 7.5 | 8.3 |
| 2010 | 8.2 | 8 |
| 2009 | 6.3 | 7 |
| 2008 | 6.3 | 6.1 |
| 2007 | 4.6 | 4.3 |
| 2006 | 6.3 | 6.3 |
| 2005 | 6.1 | 4.8 |
| 2004 | 5.3 | 5.2 |
| 2003 | 5.3 | 5.2 |
| 2002 | 4.2 | 3.5 |
| 2001 | 3.6 | 3.7 |
| 2000 | 5.5 | 5.4 |
| 1999 | 4.5 | 3.9 |
| 1998 | 2.8 | 3.1 |
| 1997 | 2.1 | 2.8 |
| 1996 | 4.2 | 3.8 |
| 1995 | 3.3 | 3.1 |
| 1994 | 1.9 | 2.5 |
| 1993 | 1.3 | 1.9 |
| 1992 | 0.9 | 1.2 |
| 1991 | 2.6 | 2.8 |
| 1990 | 2.2 | 2.4 |
| 1989 | 2 | 2.2 |
| 1988 | 1.3 | 1.4 |
| 1987 | 1.9 | 1.6 |
| 1986 | 1.5 | 2 |
| 1985 | 1.5 | 1.4 |
| 1984 | 1.4 | 1.4 |
| 1983 | 1.3 | 1.6 |
| 1982 | 0.6 | 0.9 |
| 1981 | 0.8 | 1.1 |
| 1980 | 1.6 | 1.9 |
| 1979 | 1 | 1.1 |
| 1978 | 1.8 | 1.7 |
| 1977 | 0.6 | 1 |
| 1976 | 0.9 | 1.1 |
| 1975 | 1.6 | 2 |
| 1974 | 1.3 | 1.2 |
| 1973 | 0.5 | 0.7 |
| 1972 | 0.8 | 0.9 |
| 1971 | 1.2 | 1.1 |
| 1970 | 0.9 | 1.4 |
| 1969 | 1.4 | 1.6 |
| 1968 | 0.9 | 1.2 |
| 1967 | 1.2 | 1.1 |
| 1966 | 0.8 | 1.1 |
| 1965 | 0.7 | 0.9 |
| 1964 | 1 | 1.2 |
| 1963 | 0.6 | 1.2 |
| 1962 | 0.8 | 1.5 |
| 1961 | 1.1 | 0.9 |
| 1960 | 1.4 | 1.6 |
| 1959 | 2.9 | 2.5 |
| 1958 | 1 | 1.7 |
| 1957 | 0.9 | 1.3 |
| 1956 | 1.6 | 2 |
| 1955 | 2.4 | 2.5 |
| 1954 | 0.9 | 1 |
| 1953 | 2.8 | 2.9 |
| 1952 | 2.2 | 2.5 |
| 1951 | 1.1 | 1.5 |
| 1950 | 1.2 | 1.6 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 匈牙利 | 塞尔维亚 |
|---|---|---|
| 2015 | 9.23.9–21.6 | 8.23.7–17.7 |
| 2016 | 10.12–23.2 | 8.42–17.1 |
| 2017 | 10.71.8–25.6 | 8.71.7–18.3 |
| 2018 | 9.23.9–24.6 | 7.72–19.2 |
| 2019 | 113.8–22.8 | 93.2–18.9 |
| 2020 | 15.53–28.2 | 12.12.4–21.3 |
| 2021 | 10.43.8–22 | 8.94.2–18.1 |
| 2022 | 15.12.2–27 | 122.8–23.4 |
| 2023 | 122.6–26.3 | 10.42.6–21.4 |
| 2024 | 13.52.8–25.4 | 12.72.8–25.2 |
| 2025 | 16.61.3–29.4 | 12.71.8–22.2 |
| 2026 | 16.14.8–28.1 | 14.73.8–23 |
| 2027 | 14.52.9–28.8 | 11.42.4–22.1 |
| 2028 | 14.45.6–31.6 | 124.4–24.8 |
| 2029 | 14.74.8–38.3 | 154–30.5 |
| 2030 | 14.54.1–27.6 | 12.54.4–22.2 |
| 2031 | 14.25.2–29.6 | 12.65.4–23.5 |
| 2032 | 16.75–42.3 | 14.95.2–37 |
| 2033 | 15.72.6–30.5 | 14.13.9–23.5 |
| 2034 | 18.31.7–33.1 | 15.22.6–29.6 |
| 2035 | 205–38.1 | 17.74.2–30 |
| 2036 | 20.66.9–35.9 | 17.96.2–31 |
| 2037 | 22.47.5–34.6 | 17.55.9–27.4 |
| 2038 | 17.26.2–43.1 | 16.56.2–36.5 |
| 2039 | 22.55.2–33.6 | 17.96–27.4 |
| 2040 | 20.27.9–36.6 | 18.46.7–31.2 |
| 2041 | 20.76.9–39.4 | 16.95.7–31.9 |
| 2042 | 227.8–35.9 | 16.86.8–33 |
| 2043 | 23.79.1–39.1 | 19.59.7–31.5 |
| 2044 | 22.18.4–43.4 | 18.57.8–33.6 |
| 2045 | 234.7–36.5 | 215.1–32.4 |
| 2046 | 23.65.6–51.4 | 20.16.1–40.6 |
| 2047 | 26.512.4–50.8 | 22.49.5–38.1 |
| 2048 | 26.78–48.7 | 21.68–41.5 |
| 2049 | 26.34.5–42.9 | 21.76.5–35.2 |
| 2050 | 26.210.7–43.4 | 238.6–36.1 |
| 2051 | 21.98.8–47.7 | 20.77.5–37.6 |
| 2052 | 27.48.5–44.8 | 228–36.3 |
| 2053 | 22.310.2–41.1 | 21.410.4–34.5 |
| 2054 | 26.612.4–42.6 | 2412.4–37 |
| 2055 | 24.38.1–47.8 | 24.29.7–43.4 |
| 2056 | 24.311.6–47.2 | 20.611–37.8 |
| 2057 | 25.810.3–43.5 | 22.18.2–34.2 |
| 2058 | 34.59.2–59 | 28.37.7–48.4 |
| 2059 | 26.49.2–53 | 23.78.4–42.9 |
| 2060 | 27.413.8–44.2 | 22.713.8–37.7 |
| 2061 | 3214.8–49.3 | 27.212.4–41.6 |
| 2062 | 28.110.6–51.7 | 23.910.1–41.6 |
| 2063 | 31.811.8–53.7 | 2810.9–46.9 |
| 2064 | 30.115.5–50 | 26.711.7–40.5 |
| 2065 | 34.113.3–53.2 | 287.8–41.4 |
| 2066 | 29.114.4–53.3 | 24.612.9–42.6 |
| 2067 | 34.514.2–61 | 31.313.6–51.6 |
| 2068 | 33.319.5–47.4 | 30.519–42.4 |
| 2069 | 34.216.1–52.9 | 28.614.3–44.8 |
| 2070 | 3012.6–53 | 27.811.6–51 |
| 2071 | 36.36.3–59.6 | 28.87.5–50.7 |
| 2072 | 39.118.2–56.8 | 32.615.5–49.8 |
| 2073 | 34.116.1–51.2 | 29.213.6–43.8 |
| 2074 | 33.513.1–57.1 | 26.914.3–46.3 |
| 2075 | 33.716.6–59.2 | 2915–46.1 |
| 2076 | 37.312.1–64.8 | 32.510.9–52.1 |
| 2077 | 34.616.1–53.8 | 30.615.7–48 |
| 2078 | 3516.2–64.3 | 30.316.5–54.6 |
| 2079 | 39.313–67.8 | 35.514.1–60.7 |
| 2080 | 39.717–60.2 | 32.317.9–52.6 |
| 2081 | 34.315.9–58.5 | 29.313.4–50.2 |
| 2082 | 39.723–68.6 | 34.518.9–58.4 |
| 2083 | 34.411.2–61 | 28.69.8–49.1 |
| 2084 | 39.917.8–55.1 | 34.518.3–49.7 |
| 2085 | 41.517.4–60.9 | 35.216.9–50.2 |
| 2086 | 41.519.3–66 | 35.316.1–53.7 |
| 2087 | 41.117.7–68.8 | 34.913.7–58.5 |
| 2088 | 42.320.8–65.2 | 36.117.6–59 |
| 2089 | 35.714.1–66.5 | 32.313.2–57.4 |
| 2090 | 40.218–69.7 | 38.717.6–59 |
| 2091 | 46.918–69.6 | 39.719.9–59.5 |
| 2092 | 42.113.2–63 | 3611.2–56.9 |
| 2093 | 36.416.8–60.5 | 33.515.1–59.4 |
| 2094 | 42.220.5–66.2 | 35.715.6–58.8 |
| 2095 | 43.715.5–66.9 | 38.616.4–56.3 |
| 2096 | 3713.6–70.5 | 29.414.6–62 |
| 2097 | 42.413.4–64 | 3813.9–56.7 |
| 2098 | 41.816.4–64.6 | 39.816.7–57.8 |
| 2099 | 42.615.9–63 | 37.214.9–58.5 |
| 2100 | 43.321.7–62.7 | 39.418.3–56.7 |
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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
匈牙利与塞尔维亚对比
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军用
- 军费开支匈牙利:2025 年为 GDP 的 2.04%塞尔维亚:2025 年为 GDP 的 2.76%
- 军费开支(美元)匈牙利:2025 年为 US$46.2亿塞尔维亚:2025 年为 US$25.5亿
- 人均军费开支匈牙利:2025 年为 US$518塞尔维亚:2025 年为 US$414
- 军费占政府支出比例匈牙利:2025 年为 4.3%(占政府支出)塞尔维亚:2025 年为 6.4%(占政府支出)
- 武装部队人员匈牙利:2020 年为 46,000 人塞尔维亚:2020 年为 32,000 人
- 国家实力匈牙利:2022 年为 0.13%(占全球实力)塞尔维亚:2022 年为 0.09%(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)塞尔维亚:2020 年为 1.01%(占劳动力)
- 武器进口匈牙利:2025 年为 4.02亿 TIV塞尔维亚:2025 年为 1.46亿 TIV
- 武器出口匈牙利:2024 年为 1100万 TIV塞尔维亚:2025 年为 3900万 TIV