澳大利亚与南非对比
澳大利亚与南非:35 °C 以上天数
2014 年35 °C 以上天数:澳大利亚为 81.7 天,南非为 13.2 天(CMIP6 气候模型中位数模拟)。 2014 年澳大利亚的数值较高,高出 68.5 天,是南非的 6.2 倍。
每年天数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,澳大利亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年澳大利亚为 120.5 天,南非为 40 天。
逐年数据
每年天数 · CMIP6
| 年份 | 澳大利亚 | 南非 |
|---|---|---|
| 2014 | 81.7 | 13.2 |
| 2013 | 83.1 | 15.2 |
| 2012 | 80.8 | 14.3 |
| 2011 | 79.5 | 11.7 |
| 2010 | 83.2 | 12.5 |
| 2009 | 80 | 13.2 |
| 2008 | 79.5 | 12.3 |
| 2007 | 78.5 | 12 |
| 2006 | 76 | 11.9 |
| 2005 | 76.6 | 13.3 |
| 2004 | 82.2 | 13.9 |
| 2003 | 80.7 | 12.6 |
| 2002 | 74.3 | 12.6 |
| 2001 | 77.2 | 11.1 |
| 2000 | 78 | 11.8 |
| 1999 | 71.7 | 11 |
| 1998 | 78.1 | 12.1 |
| 1997 | 75.2 | 11.3 |
| 1996 | 71.1 | 9.4 |
| 1995 | 68.9 | 8.3 |
| 1994 | 69.6 | 8.5 |
| 1993 | 67.8 | 7.8 |
| 1992 | 60.6 | 7.1 |
| 1991 | 73.2 | 11.1 |
| 1990 | 75.6 | 10.1 |
| 1989 | 72.9 | 11.5 |
| 1988 | 69.8 | 9.4 |
| 1987 | 70.1 | 11.5 |
| 1986 | 72.2 | 10.2 |
| 1985 | 66.1 | 8.7 |
| 1984 | 71.3 | 8.7 |
| 1983 | 68.4 | 8.6 |
| 1982 | 73.4 | 10.5 |
| 1981 | 69.1 | 9.7 |
| 1980 | 71.2 | 10.3 |
| 1979 | 70.4 | 9.4 |
| 1978 | 70.8 | 9.5 |
| 1977 | 70.3 | 9.3 |
| 1976 | 69.4 | 9 |
| 1975 | 65.8 | 9.3 |
| 1974 | 67.7 | 8.8 |
| 1973 | 71.3 | 9.5 |
| 1972 | 65.4 | 8.4 |
| 1971 | 68.8 | 8.7 |
| 1970 | 66 | 8.2 |
| 1969 | 70 | 8.9 |
| 1968 | 67.2 | 8.4 |
| 1967 | 67.7 | 6.9 |
| 1966 | 66.9 | 7.8 |
| 1965 | 66.9 | 7.9 |
| 1964 | 64.8 | 6.4 |
| 1963 | 63.4 | 7 |
| 1962 | 70.7 | 8.9 |
| 1961 | 72.1 | 10.5 |
| 1960 | 71.5 | 9.7 |
| 1959 | 69.2 | 8.9 |
| 1958 | 69.6 | 9.3 |
| 1957 | 70.1 | 10.3 |
| 1956 | 67.3 | 7.9 |
| 1955 | 66.2 | 10.3 |
| 1954 | 70.4 | 9.1 |
| 1953 | 67.7 | 7.8 |
| 1952 | 71 | 9 |
| 1951 | 69.7 | 8.4 |
| 1950 | 68.6 | 8.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 澳大利亚 | 南非 |
|---|---|---|
| 2015 | 76.853.2–96.9 | 14.76.8–24 |
| 2016 | 79.859.4–98.3 | 13.46.3–22.2 |
| 2017 | 86.262–105.4 | 15.27.7–24.6 |
| 2018 | 85.863–104.5 | 179.7–28 |
| 2019 | 80.955.1–101.6 | 14.67.1–24.5 |
| 2020 | 84.756.1–104 | 15.77.4–23.5 |
| 2021 | 85.663.6–106.5 | 17.99.4–27 |
| 2022 | 89.462.5–109.3 | 189.8–29 |
| 2023 | 84.961–108.6 | 18.69.9–27.1 |
| 2024 | 89.263.7–109.8 | 17.89.8–28 |
| 2025 | 86.459.2–112.4 | 16.57.5–29.6 |
| 2026 | 88.864.7–112.2 | 20.19.3–29.4 |
| 2027 | 89.463.2–109.7 | 19.910.5–32.8 |
| 2028 | 93.269.5–112.9 | 19.110.6–33.2 |
| 2029 | 9476.8–115.4 | 21.412.9–33.6 |
| 2030 | 87.664.4–110 | 21.19.6–33.9 |
| 2031 | 92.264.8–115 | 20.79.9–35.4 |
| 2032 | 96.273.8–119.2 | 2110.9–34.8 |
| 2033 | 92.871–113.6 | 22.612.2–34.2 |
| 2034 | 94.673.5–118.5 | 24.615–35.1 |
| 2035 | 93.968.1–117.2 | 20.911.7–31.3 |
| 2036 | 90.267.6–113.7 | 21.111.9–32.2 |
| 2037 | 100.677.4–120.6 | 23.412.6–35.2 |
| 2038 | 98.474.8–118.7 | 26.216–36.7 |
| 2039 | 9666.5–117.1 | 22.611.4–35.9 |
| 2040 | 95.971.2–117.3 | 21.510.9–35.4 |
| 2041 | 95.571.6–117.2 | 23.213.2–35.8 |
| 2042 | 96.367.9–119.8 | 25.214.3–39.6 |
| 2043 | 99.376.7–118.2 | 25.613.4–39.9 |
| 2044 | 97.974.6–121.5 | 26.113.1–41.6 |
| 2045 | 97.875.9–118.2 | 26.813.1–40.3 |
| 2046 | 98.972.9–124.7 | 25.914.5–40.8 |
| 2047 | 101.675.9–122.9 | 26.713.7–41.4 |
| 2048 | 105.875–127.2 | 29.215.6–45.4 |
| 2049 | 104.379.7–126.3 | 29.117.3–44.7 |
| 2050 | 103.274.6–124.4 | 29.815.7–48.6 |
| 2051 | 106.578.2–130.4 | 27.913.6–45.2 |
| 2052 | 103.877.1–130.6 | 31.918.3–46.8 |
| 2053 | 102.877.4–129.2 | 28.318.6–43.2 |
| 2054 | 103.979.2–132.2 | 30.717.3–50.1 |
| 2055 | 107.780.2–128.9 | 2917.8–48 |
| 2056 | 10782.5–128.6 | 29.916–45.3 |
| 2057 | 107.880.8–128.5 | 3117.4–50.1 |
| 2058 | 107.678.9–132.4 | 31.115.7–46 |
| 2059 | 109.283.2–131.6 | 3216.1–49.9 |
| 2060 | 108.281.6–130.8 | 33.419.8–49.7 |
| 2061 | 110.582.7–133.6 | 32.718.1–51.1 |
| 2062 | 103.675.5–126.2 | 31.317.7–52.6 |
| 2063 | 112.885.3–134.9 | 32.317.4–50.7 |
| 2064 | 109.485.3–132.4 | 31.817.7–47.6 |
| 2065 | 107.679.3–129.4 | 31.716.2–50.7 |
| 2066 | 114.593.5–137.8 | 34.318.4–55.3 |
| 2067 | 111.281.6–140 | 32.617.2–52.4 |
| 2068 | 114.379.8–138.3 | 33.819.2–54.3 |
| 2069 | 108.782–134.9 | 34.621.3–52.4 |
| 2070 | 109.479.1–140.3 | 32.819.3–51.1 |
| 2071 | 111.783–138 | 35.320.8–55.8 |
| 2072 | 113.787.6–137.3 | 37.820.3–54.6 |
| 2073 | 118.593.1–139.9 | 4425.6–62.1 |
| 2074 | 112.586.3–136 | 38.320.7–55.8 |
| 2075 | 113.181–135.9 | 34.218.7–53.1 |
| 2076 | 114.987.1–137.5 | 38.822.9–57.5 |
| 2077 | 117.686.2–139.7 | 39.124.2–60.3 |
| 2078 | 116.193.4–136.9 | 35.521.6–53.4 |
| 2079 | 112.485.3–137.7 | 40.522.9–59.7 |
| 2080 | 11483.2–138.7 | 40.523.4–59 |
| 2081 | 115.882.5–139.6 | 38.523.8–59.9 |
| 2082 | 116.188.5–138.4 | 38.622.5–58.2 |
| 2083 | 113.184.1–140.2 | 38.518.7–62.9 |
| 2084 | 120.886–143.5 | 39.720.6–58.4 |
| 2085 | 116.987.7–142.3 | 4021.5–65.8 |
| 2086 | 118.683.7–140.4 | 40.823–63.7 |
| 2087 | 11785.8–143 | 38.324.6–58.6 |
| 2088 | 120.188.6–146.1 | 42.222.6–66.3 |
| 2089 | 117.491.7–140.8 | 41.624.2–59.1 |
| 2090 | 11988.8–146.2 | 42.326.1–66.4 |
| 2091 | 118.691.2–140.5 | 43.324.2–63.6 |
| 2092 | 118.784.5–143.2 | 43.928–61.6 |
| 2093 | 122.388.6–148.2 | 37.521.3–63.4 |
| 2094 | 117.689–142.8 | 41.325.4–65.9 |
| 2095 | 12494.3–151.5 | 43.522.9–70.2 |
| 2096 | 118.390.2–145.3 | 41.224.1–66.8 |
| 2097 | 120.986.4–147.2 | 37.723.7–60.9 |
| 2098 | 118.891.5–144.3 | 46.425.1–71.4 |
| 2099 | 123.292.1–145.4 | 42.525.1–64.8 |
| 2100 | 120.591–145.4 | 4022.2–64.5 |
分别查看各国
须知
- 一年中最高气温超过 35 °C 的天数,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
澳大利亚与南非对比
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军用
- 军费开支澳大利亚:2025 年为 GDP 的 1.92%南非:2025 年为 GDP 的 0.74%
- 军费开支(美元)澳大利亚:2025 年为 US$353亿南非:2025 年为 US$30亿
- 人均军费开支澳大利亚:2025 年为 US$1,316南非:2025 年为 US$49
- 军费占政府支出比例澳大利亚:2025 年为 4.9%(占政府支出)南非:2025 年为 2.2%(占政府支出)
- 武装部队人员澳大利亚:2020 年为 60,000 人南非:2020 年为 89,000 人
- 国家实力澳大利亚:2022 年为 0.6%(占全球实力)南非:2022 年为 0.55%(占全球实力)
- 武装部队占劳动力比例澳大利亚:2020 年为 0.44%(占劳动力)南非:2020 年为 0.4%(占劳动力)
- 武器进口澳大利亚:2025 年为 8.26亿 TIV南非:2025 年为 3000万 TIV
- 武器出口澳大利亚:2025 年为 1.08亿 TIV南非:2025 年为 1.15亿 TIV