奥地利与中国对比
奥地利与中国:热带夜
2014 年热带夜:奥地利为 0.8 夜,中国为 41.5 夜(CMIP6 气候模型中位数模拟)。 2014 年中国的数值较高,高出 40.6 夜,是奥地利的 49 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,中国的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年奥地利为 6.7 夜,中国为 63.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 奥地利 | 中国 |
|---|---|---|
| 2014 | 0.8 | 41.5 |
| 2013 | 0.4 | 41.7 |
| 2012 | 0.5 | 40.8 |
| 2011 | 0.6 | 40.2 |
| 2010 | 0.5 | 40.5 |
| 2009 | 0.3 | 39.5 |
| 2008 | 0.3 | 39.2 |
| 2007 | 0.2 | 38.7 |
| 2006 | 0.4 | 39.5 |
| 2005 | 0.4 | 39.5 |
| 2004 | 0.4 | 39.7 |
| 2003 | 0.3 | 38.5 |
| 2002 | 0.2 | 38.8 |
| 2001 | 0.3 | 39.5 |
| 2000 | 0.3 | 38.6 |
| 1999 | 0.3 | 38.5 |
| 1998 | 0.1 | 37.6 |
| 1997 | 0.1 | 37.1 |
| 1996 | 0.2 | 36.6 |
| 1995 | 0.2 | 35.1 |
| 1994 | 0.1 | 34.9 |
| 1993 | 0 | 33.2 |
| 1992 | 0 | 32.3 |
| 1991 | 0.2 | 35.9 |
| 1990 | 0.2 | 36.4 |
| 1989 | 0.2 | 36.1 |
| 1988 | 0.1 | 35.1 |
| 1987 | 0.1 | 34.5 |
| 1986 | 0.1 | 34 |
| 1985 | 0.1 | 33.5 |
| 1984 | 0 | 33.4 |
| 1983 | 0.1 | 31.5 |
| 1982 | 0 | 34.1 |
| 1981 | 0 | 34.2 |
| 1980 | 0.1 | 34.3 |
| 1979 | 0 | 33.8 |
| 1978 | 0.1 | 34.8 |
| 1977 | 0 | 33.3 |
| 1976 | 0.1 | 32.7 |
| 1975 | 0.1 | 33.1 |
| 1974 | 0.1 | 33.3 |
| 1973 | 0 | 33.1 |
| 1972 | 0.1 | 32.6 |
| 1971 | 0 | 33 |
| 1970 | 0 | 32.4 |
| 1969 | 0.1 | 33.4 |
| 1968 | 0 | 32.8 |
| 1967 | 0.1 | 33.4 |
| 1966 | 0 | 33.4 |
| 1965 | 0 | 32.5 |
| 1964 | 0.1 | 32.1 |
| 1963 | 0.1 | 34.5 |
| 1962 | 0 | 34 |
| 1961 | 0.1 | 34.6 |
| 1960 | 0 | 34.1 |
| 1959 | 0.2 | 34 |
| 1958 | 0 | 35 |
| 1957 | 0 | 34.4 |
| 1956 | 0.1 | 34.6 |
| 1955 | 0.1 | 34.2 |
| 1954 | 0 | 34.2 |
| 1953 | 0.1 | 34.3 |
| 1952 | 0.1 | 34.3 |
| 1951 | 0 | 35.1 |
| 1950 | 0.1 | 34.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 奥地利 | 中国 |
|---|---|---|
| 2015 | 0.60.1–2 | 42.334.8–49.8 |
| 2016 | 0.70.1–2.6 | 42.134.4–50 |
| 2017 | 0.90.1–3.4 | 43.135.3–51.6 |
| 2018 | 0.80.2–3.2 | 42.335.5–49.5 |
| 2019 | 0.90.2–2.9 | 43.836.5–51.1 |
| 2020 | 1.30.2–3.4 | 43.736.8–51.1 |
| 2021 | 0.70.1–3.1 | 44.136–52.1 |
| 2022 | 1.10.1–3.4 | 44.737.5–52.7 |
| 2023 | 0.90.1–3.9 | 45.737.8–53.4 |
| 2024 | 0.90.1–3.4 | 45.738.1–54 |
| 2025 | 1.60–4 | 46.337.5–54.8 |
| 2026 | 1.40.2–4.4 | 46.237.6–55.5 |
| 2027 | 1.10.1–3.6 | 46.138–54.9 |
| 2028 | 1.30.3–4.3 | 46.438.4–54.3 |
| 2029 | 1.50.2–5.5 | 46.939.1–55.6 |
| 2030 | 1.20.1–4.2 | 47.138.8–55.3 |
| 2031 | 1.30.2–4.1 | 4738.8–56 |
| 2032 | 1.50.2–4.9 | 48.339.3–57.4 |
| 2033 | 1.60.1–5 | 47.939.7–56.6 |
| 2034 | 20.1–5.8 | 48.440.5–57.3 |
| 2035 | 1.90.3–5.3 | 49.740.8–58.6 |
| 2036 | 2.30.4–7 | 4940.1–58.2 |
| 2037 | 2.20.3–6.6 | 4941.2–57.6 |
| 2038 | 1.90.3–7.1 | 50.542.4–59.3 |
| 2039 | 2.80.3–6.4 | 49.641.2–59.2 |
| 2040 | 2.40.7–5.8 | 50.942.4–60.4 |
| 2041 | 2.40.5–5.5 | 51.342.5–61.1 |
| 2042 | 2.50.4–6.8 | 51.642–61.5 |
| 2043 | 2.70.4–6.2 | 50.742.7–61 |
| 2044 | 2.30.6–7.4 | 51.942.4–61.9 |
| 2045 | 2.70.4–6.5 | 51.542.8–61.1 |
| 2046 | 2.90.4–8.7 | 5343.7–62.7 |
| 2047 | 3.80.3–8.2 | 53.544.5–62.5 |
| 2048 | 3.20.3–10.2 | 53.144–62.6 |
| 2049 | 3.50.2–7.6 | 52.843.8–63.3 |
| 2050 | 2.81–7 | 53.644.4–63.8 |
| 2051 | 2.40.4–8.2 | 54.345.1–64.8 |
| 2052 | 3.60.5–7.5 | 53.444.6–63.2 |
| 2053 | 2.30.6–6.3 | 54.244.2–64.2 |
| 2054 | 2.70.8–7 | 54.545.3–64.8 |
| 2055 | 3.20.5–9.2 | 5545.1–65.8 |
| 2056 | 3.61–8.8 | 55.245.1–66.6 |
| 2057 | 3.30.8–7.5 | 54.844.9–65.7 |
| 2058 | 50.3–10.8 | 55.145.8–67.7 |
| 2059 | 4.40.6–11.5 | 55.345.1–67.2 |
| 2060 | 3.91.1–10 | 57.246.9–68.1 |
| 2061 | 4.51.4–9.4 | 56.546.6–66.3 |
| 2062 | 3.90.9–9.2 | 56.846.9–68.5 |
| 2063 | 5.41.4–11.3 | 57.247.2–68.6 |
| 2064 | 4.70.9–9.9 | 5747.1–67.7 |
| 2065 | 51.3–10.6 | 57.347.1–67.8 |
| 2066 | 4.91.2–11.6 | 57.347.9–68.7 |
| 2067 | 5.91.3–13.5 | 57.546.4–68.2 |
| 2068 | 4.71.6–9.3 | 58.748.5–70.5 |
| 2069 | 5.11.3–10.1 | 58.548.4–69 |
| 2070 | 4.41.2–11.6 | 5847.6–71.7 |
| 2071 | 4.80.5–12.5 | 59.347.4–71.6 |
| 2072 | 5.81.9–10.2 | 59.248.1–71.5 |
| 2073 | 5.31.4–10.5 | 59.849.1–70.9 |
| 2074 | 4.51–11.8 | 59.648.7–71.1 |
| 2075 | 5.61.5–13.6 | 58.748.3–71.4 |
| 2076 | 6.20.9–14.6 | 60.249–70.9 |
| 2077 | 4.51.4–12.9 | 60.851.1–72.4 |
| 2078 | 5.61–15 | 59.648.8–72.4 |
| 2079 | 6.80.8–17.4 | 60.750.1–72.6 |
| 2080 | 6.31.8–13.3 | 59.950–72.3 |
| 2081 | 5.71.6–12.9 | 60.950–73.2 |
| 2082 | 72.2–16.2 | 6149.8–73.3 |
| 2083 | 5.31.5–12.9 | 61.251.2–73.6 |
| 2084 | 6.11.3–11.5 | 61.749.7–74.6 |
| 2085 | 6.41.9–13.3 | 61.250.8–75.2 |
| 2086 | 6.41.7–15.1 | 61.648.9–74.5 |
| 2087 | 7.21.4–15.3 | 61.650.6–75 |
| 2088 | 72.3–15 | 62.750.5–77.1 |
| 2089 | 6.51.8–19 | 61.950–75.2 |
| 2090 | 6.11.9–17.7 | 62.551.4–73.7 |
| 2091 | 7.91.9–16.7 | 63.852–75.7 |
| 2092 | 6.91.4–14.4 | 63.251.2–75.1 |
| 2093 | 5.61.4–13.6 | 63.252–75.4 |
| 2094 | 8.51.8–15.3 | 6351.1–76.3 |
| 2095 | 7.21.2–16 | 63.952.8–76.4 |
| 2096 | 6.51–15.2 | 63.852.2–76.8 |
| 2097 | 5.41.1–15 | 62.750.7–75.1 |
| 2098 | 7.62.1–15.1 | 63.451.2–76.8 |
| 2099 | 7.51.3–17.6 | 63.851.9–76.1 |
| 2100 | 6.72.5–16.1 | 63.351.7–76.2 |
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
奥地利与中国对比
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军用
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- 人均军费开支奥地利:2025 年为 US$697中国:2025 年为 US$237
- 军费占政府支出比例奥地利:2025 年为 2%(占政府支出)中国:2025 年为 5.1%(占政府支出)
- 武装部队人员奥地利:2020 年为 23,000 人中国:2020 年为 254万 人
- 国家实力奥地利:2022 年为 0.17%(占全球实力)中国:2022 年为 23.41%(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)中国:2020 年为 0.33%(占劳动力)
- 武器进口奥地利:2025 年为 2900万 TIV中国:2025 年为 2.07亿 TIV
- 武器出口奥地利:2025 年为 100万 TIV中国:2025 年为 8.8亿 TIV