澳大利亚与中国对比
澳大利亚与中国:热带夜
2014 年热带夜:澳大利亚为 135.1 夜,中国为 41.5 夜(CMIP6 气候模型中位数模拟)。 2014 年澳大利亚的数值较高,高出 93.6 夜,是中国的 3.26 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,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 169.9 夜,中国为 63.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 澳大利亚 | 中国 |
|---|---|---|
| 2014 | 135.1 | 41.5 |
| 2013 | 133 | 41.7 |
| 2012 | 132.9 | 40.8 |
| 2011 | 133.8 | 40.2 |
| 2010 | 134.2 | 40.5 |
| 2009 | 132.3 | 39.5 |
| 2008 | 132.3 | 39.2 |
| 2007 | 131.8 | 38.7 |
| 2006 | 128.1 | 39.5 |
| 2005 | 131.7 | 39.5 |
| 2004 | 131.4 | 39.7 |
| 2003 | 132.4 | 38.5 |
| 2002 | 129.7 | 38.8 |
| 2001 | 130.1 | 39.5 |
| 2000 | 129.7 | 38.6 |
| 1999 | 127.7 | 38.5 |
| 1998 | 128.1 | 37.6 |
| 1997 | 124.5 | 37.1 |
| 1996 | 123.9 | 36.6 |
| 1995 | 123.5 | 35.1 |
| 1994 | 124.4 | 34.9 |
| 1993 | 121.4 | 33.2 |
| 1992 | 116.7 | 32.3 |
| 1991 | 125.1 | 35.9 |
| 1990 | 126 | 36.4 |
| 1989 | 124.4 | 36.1 |
| 1988 | 125.2 | 35.1 |
| 1987 | 124.4 | 34.5 |
| 1986 | 124.9 | 34 |
| 1985 | 122.7 | 33.5 |
| 1984 | 123.9 | 33.4 |
| 1983 | 122.5 | 31.5 |
| 1982 | 124.7 | 34.1 |
| 1981 | 123.3 | 34.2 |
| 1980 | 123.7 | 34.3 |
| 1979 | 122.3 | 33.8 |
| 1978 | 121.2 | 34.8 |
| 1977 | 120.6 | 33.3 |
| 1976 | 121.1 | 32.7 |
| 1975 | 118.6 | 33.1 |
| 1974 | 119.7 | 33.3 |
| 1973 | 123.3 | 33.1 |
| 1972 | 120.2 | 32.6 |
| 1971 | 120.4 | 33 |
| 1970 | 118.5 | 32.4 |
| 1969 | 120.9 | 33.4 |
| 1968 | 118.9 | 32.8 |
| 1967 | 118.6 | 33.4 |
| 1966 | 116.5 | 33.4 |
| 1965 | 116.5 | 32.5 |
| 1964 | 112.5 | 32.1 |
| 1963 | 114.6 | 34.5 |
| 1962 | 119 | 34 |
| 1961 | 121.9 | 34.6 |
| 1960 | 120.7 | 34.1 |
| 1959 | 120.3 | 34 |
| 1958 | 121.8 | 35 |
| 1957 | 119.8 | 34.4 |
| 1956 | 119.9 | 34.6 |
| 1955 | 117.5 | 34.2 |
| 1954 | 119.9 | 34.2 |
| 1953 | 118.5 | 34.3 |
| 1952 | 119.9 | 34.3 |
| 1951 | 119.6 | 35.1 |
| 1950 | 119.7 | 34.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 澳大利亚 | 中国 |
|---|---|---|
| 2015 | 134116.5–149.2 | 42.334.8–49.8 |
| 2016 | 134.8118.2–149.5 | 42.134.4–50 |
| 2017 | 136.1119.3–149.5 | 43.135.3–51.6 |
| 2018 | 135.8118.4–151.4 | 42.335.5–49.5 |
| 2019 | 136.6120.4–151.6 | 43.836.5–51.1 |
| 2020 | 136119.8–151.4 | 43.736.8–51.1 |
| 2021 | 135.6118.6–151.2 | 44.136–52.1 |
| 2022 | 138.6121.4–155.1 | 44.737.5–52.7 |
| 2023 | 139.9123.6–155.2 | 45.737.8–53.4 |
| 2024 | 141122.4–156.1 | 45.738.1–54 |
| 2025 | 140.9121–159.3 | 46.337.5–54.8 |
| 2026 | 139.4121.9–157.8 | 46.237.6–55.5 |
| 2027 | 140.4123.7–156 | 46.138–54.9 |
| 2028 | 141.8125.4–158.7 | 46.438.4–54.3 |
| 2029 | 143.3126–159.6 | 46.939.1–55.6 |
| 2030 | 140.1125.4–156.4 | 47.138.8–55.3 |
| 2031 | 141.6124.9–156.9 | 4738.8–56 |
| 2032 | 144.6128.6–162.1 | 48.339.3–57.4 |
| 2033 | 144.5127.7–159.2 | 47.939.7–56.6 |
| 2034 | 145129.2–161.3 | 48.440.5–57.3 |
| 2035 | 146.5128.8–161.8 | 49.740.8–58.6 |
| 2036 | 146.9128–161.8 | 4940.1–58.2 |
| 2037 | 146.6130.1–161.6 | 4941.2–57.6 |
| 2038 | 148.2131.2–164 | 50.542.4–59.3 |
| 2039 | 146.9130.3–163.4 | 49.641.2–59.2 |
| 2040 | 147.9130.6–164.6 | 50.942.4–60.4 |
| 2041 | 147.6130.5–165.9 | 51.342.5–61.1 |
| 2042 | 148.2129.2–166.5 | 51.642–61.5 |
| 2043 | 148.9133.1–164.5 | 50.742.7–61 |
| 2044 | 151135.2–166.3 | 51.942.4–61.9 |
| 2045 | 149.3130.9–164.3 | 51.542.8–61.1 |
| 2046 | 151.2135.4–168 | 5343.7–62.7 |
| 2047 | 153.5132.9–169.5 | 53.544.5–62.5 |
| 2048 | 154.1135.2–171.4 | 53.144–62.6 |
| 2049 | 153.4137.4–170.1 | 52.843.8–63.3 |
| 2050 | 152.3133–170.6 | 53.644.4–63.8 |
| 2051 | 154.5135.1–171.8 | 54.345.1–64.8 |
| 2052 | 154.7134.9–175.7 | 53.444.6–63.2 |
| 2053 | 153.8131.8–173 | 54.244.2–64.2 |
| 2054 | 152.8134.4–172.4 | 54.545.3–64.8 |
| 2055 | 155.2138.1–174.8 | 5545.1–65.8 |
| 2056 | 157139.6–173.6 | 55.245.1–66.6 |
| 2057 | 156.3137.4–172.3 | 54.844.9–65.7 |
| 2058 | 158.3135.3–176.6 | 55.145.8–67.7 |
| 2059 | 157.9138.9–174.7 | 55.345.1–67.2 |
| 2060 | 158.4140.3–176.8 | 57.246.9–68.1 |
| 2061 | 158.8139.6–175.2 | 56.546.6–66.3 |
| 2062 | 156.1137.8–172.7 | 56.846.9–68.5 |
| 2063 | 160.2140–178.6 | 57.247.2–68.6 |
| 2064 | 159.3140.5–177.9 | 5747.1–67.7 |
| 2065 | 156.7136.6–177.5 | 57.347.1–67.8 |
| 2066 | 161.6142–180.6 | 57.347.9–68.7 |
| 2067 | 162.5141.6–183.1 | 57.546.4–68.2 |
| 2068 | 162.4140.7–180.1 | 58.748.5–70.5 |
| 2069 | 162.6143.3–181 | 58.548.4–69 |
| 2070 | 161.4140.4–180.3 | 5847.6–71.7 |
| 2071 | 162.1142–181.9 | 59.347.4–71.6 |
| 2072 | 162.2142.3–179.6 | 59.248.1–71.5 |
| 2073 | 163.8144.6–182.6 | 59.849.1–70.9 |
| 2074 | 162.2142.8–181.6 | 59.648.7–71.1 |
| 2075 | 163.1143–180.9 | 58.748.3–71.4 |
| 2076 | 163.2141.1–181.9 | 60.249–70.9 |
| 2077 | 163.1141.8–181.8 | 60.851.1–72.4 |
| 2078 | 163.9145.8–181.3 | 59.648.8–72.4 |
| 2079 | 163.3143.1–186 | 60.750.1–72.6 |
| 2080 | 163142.7–183.3 | 59.950–72.3 |
| 2081 | 165.8142.9–185.5 | 60.950–73.2 |
| 2082 | 164.6145–182.6 | 6149.8–73.3 |
| 2083 | 164.2141.3–187 | 61.251.2–73.6 |
| 2084 | 165.6140.7–187.4 | 61.749.7–74.6 |
| 2085 | 167.2143.9–187.5 | 61.250.8–75.2 |
| 2086 | 166.8143.2–186.2 | 61.648.9–74.5 |
| 2087 | 165.2142.9–189.1 | 61.650.6–75 |
| 2088 | 167.5146–187.8 | 62.750.5–77.1 |
| 2089 | 166.3146.9–184.2 | 61.950–75.2 |
| 2090 | 168.6145–188.3 | 62.551.4–73.7 |
| 2091 | 168.3145.8–186.5 | 63.852–75.7 |
| 2092 | 167.4144.8–185.2 | 63.251.2–75.1 |
| 2093 | 168.2146–191.5 | 63.252–75.4 |
| 2094 | 169146.8–187.2 | 6351.1–76.3 |
| 2095 | 169.5146.9–189.1 | 63.952.8–76.4 |
| 2096 | 170.2145.3–192.8 | 63.852.2–76.8 |
| 2097 | 168.2145.9–187.4 | 62.750.7–75.1 |
| 2098 | 169.7149.4–190.8 | 63.451.2–76.8 |
| 2099 | 167.1147.5–187.7 | 63.851.9–76.1 |
| 2100 | 169.9149.9–190.1 | 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
澳大利亚与中国对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支澳大利亚:2025 年为 GDP 的 1.92%中国:2025 年为 GDP 的 1.73%
- 军费开支(美元)澳大利亚:2025 年为 US$353亿中国:2025 年为 US$3350亿
- 人均军费开支澳大利亚:2025 年为 US$1,316中国:2025 年为 US$237
- 军费占政府支出比例澳大利亚:2025 年为 4.9%(占政府支出)中国:2025 年为 5.1%(占政府支出)
- 武装部队人员澳大利亚:2020 年为 60,000 人中国:2020 年为 254万 人
- 国家实力澳大利亚:2022 年为 0.6%(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澳大利亚:2020 年为 0.44%(占劳动力)中国:2020 年为 0.33%(占劳动力)
- 武器进口澳大利亚:2025 年为 8.26亿 TIV中国:2025 年为 2.07亿 TIV
- 武器出口澳大利亚:2025 年为 1.08亿 TIV中国:2025 年为 8.8亿 TIV