澳大利亚与墨西哥对比
澳大利亚与墨西哥:热带夜
2014 年热带夜:澳大利亚为 135.1 夜,墨西哥为 103.7 夜(CMIP6 气候模型中位数模拟)。 2014 年澳大利亚的数值较高,高出 31.4 夜,是墨西哥的 1.3 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,墨西哥为 142.8 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 澳大利亚 | 墨西哥 |
|---|---|---|
| 2014 | 135.1 | 103.7 |
| 2013 | 133 | 103.9 |
| 2012 | 132.9 | 102.8 |
| 2011 | 133.8 | 102.9 |
| 2010 | 134.2 | 101.5 |
| 2009 | 132.3 | 101.8 |
| 2008 | 132.3 | 100.1 |
| 2007 | 131.8 | 99.1 |
| 2006 | 128.1 | 99.8 |
| 2005 | 131.7 | 99.5 |
| 2004 | 131.4 | 99.4 |
| 2003 | 132.4 | 98.3 |
| 2002 | 129.7 | 99.1 |
| 2001 | 130.1 | 98.7 |
| 2000 | 129.7 | 97.9 |
| 1999 | 127.7 | 96.6 |
| 1998 | 128.1 | 95.8 |
| 1997 | 124.5 | 95.9 |
| 1996 | 123.9 | 93.8 |
| 1995 | 123.5 | 92.7 |
| 1994 | 124.4 | 90.7 |
| 1993 | 121.4 | 89 |
| 1992 | 116.7 | 88.5 |
| 1991 | 125.1 | 93.4 |
| 1990 | 126 | 94.9 |
| 1989 | 124.4 | 93 |
| 1988 | 125.2 | 92.1 |
| 1987 | 124.4 | 92 |
| 1986 | 124.9 | 90.2 |
| 1985 | 122.7 | 90 |
| 1984 | 123.9 | 88 |
| 1983 | 122.5 | 86.7 |
| 1982 | 124.7 | 88.7 |
| 1981 | 123.3 | 91.5 |
| 1980 | 123.7 | 90.1 |
| 1979 | 122.3 | 90.8 |
| 1978 | 121.2 | 89 |
| 1977 | 120.6 | 89 |
| 1976 | 121.1 | 89.1 |
| 1975 | 118.6 | 86.8 |
| 1974 | 119.7 | 87.9 |
| 1973 | 123.3 | 88.6 |
| 1972 | 120.2 | 87.7 |
| 1971 | 120.4 | 86.8 |
| 1970 | 118.5 | 86.1 |
| 1969 | 120.9 | 87.5 |
| 1968 | 118.9 | 87.1 |
| 1967 | 118.6 | 86.7 |
| 1966 | 116.5 | 86.4 |
| 1965 | 116.5 | 84.9 |
| 1964 | 112.5 | 84.7 |
| 1963 | 114.6 | 87.1 |
| 1962 | 119 | 88 |
| 1961 | 121.9 | 89.5 |
| 1960 | 120.7 | 89.7 |
| 1959 | 120.3 | 89.6 |
| 1958 | 121.8 | 89.1 |
| 1957 | 119.8 | 89 |
| 1956 | 119.9 | 88.5 |
| 1955 | 117.5 | 88.2 |
| 1954 | 119.9 | 88.4 |
| 1953 | 118.5 | 88.6 |
| 1952 | 119.9 | 87.8 |
| 1951 | 119.6 | 89.4 |
| 1950 | 119.7 | 88.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 澳大利亚 | 墨西哥 |
|---|---|---|
| 2015 | 134116.5–149.2 | 106.192.9–118.4 |
| 2016 | 134.8118.2–149.5 | 107.695–120 |
| 2017 | 136.1119.3–149.5 | 108.696.3–119.7 |
| 2018 | 135.8118.4–151.4 | 10997.1–120.4 |
| 2019 | 136.6120.4–151.6 | 110.396.4–123 |
| 2020 | 136119.8–151.4 | 109.696.8–121.8 |
| 2021 | 135.6118.6–151.2 | 111.296.9–124.1 |
| 2022 | 138.6121.4–155.1 | 109.796–121.7 |
| 2023 | 139.9123.6–155.2 | 111.898.6–125.3 |
| 2024 | 141122.4–156.1 | 112.298.2–126.2 |
| 2025 | 140.9121–159.3 | 11298.8–125.8 |
| 2026 | 139.4121.9–157.8 | 113.999.5–126.4 |
| 2027 | 140.4123.7–156 | 112.999.5–128.3 |
| 2028 | 141.8125.4–158.7 | 115.2101.9–127.9 |
| 2029 | 143.3126–159.6 | 115.6101.9–127.9 |
| 2030 | 140.1125.4–156.4 | 115.9101.7–128.4 |
| 2031 | 141.6124.9–156.9 | 116.1100.9–129.9 |
| 2032 | 144.6128.6–162.1 | 116.1102.5–129.1 |
| 2033 | 144.5127.7–159.2 | 117.5102.5–131.1 |
| 2034 | 145129.2–161.3 | 117.2104.1–130.3 |
| 2035 | 146.5128.8–161.8 | 116.4103.1–130.3 |
| 2036 | 146.9128–161.8 | 117.8105.1–131 |
| 2037 | 146.6130.1–161.6 | 118.6104.3–131.7 |
| 2038 | 148.2131.2–164 | 121107.5–133.4 |
| 2039 | 146.9130.3–163.4 | 121.3107–135.6 |
| 2040 | 147.9130.6–164.6 | 121.9108.1–135.1 |
| 2041 | 147.6130.5–165.9 | 121.3105.3–134.6 |
| 2042 | 148.2129.2–166.5 | 122.7107.7–137.1 |
| 2043 | 148.9133.1–164.5 | 122.4108.1–137.5 |
| 2044 | 151135.2–166.3 | 121.9108–135.6 |
| 2045 | 149.3130.9–164.3 | 123.1108.8–139.2 |
| 2046 | 151.2135.4–168 | 123.8109.9–139.4 |
| 2047 | 153.5132.9–169.5 | 125.6111.9–139.4 |
| 2048 | 154.1135.2–171.4 | 126.3113–140.3 |
| 2049 | 153.4137.4–170.1 | 127111.2–140.8 |
| 2050 | 152.3133–170.6 | 128.1112.6–142.5 |
| 2051 | 154.5135.1–171.8 | 127.2113.4–140.8 |
| 2052 | 154.7134.9–175.7 | 126.2112.5–141.1 |
| 2053 | 153.8131.8–173 | 128.4111.5–142.7 |
| 2054 | 152.8134.4–172.4 | 128.1113.1–142.3 |
| 2055 | 155.2138.1–174.8 | 129114.4–144.7 |
| 2056 | 157139.6–173.6 | 129.5114.3–143.8 |
| 2057 | 156.3137.4–172.3 | 130.3113.5–145.9 |
| 2058 | 158.3135.3–176.6 | 128.8114.1–144.5 |
| 2059 | 157.9138.9–174.7 | 129.5114.5–144.5 |
| 2060 | 158.4140.3–176.8 | 131.4115.5–146.5 |
| 2061 | 158.8139.6–175.2 | 131.3118.4–146.8 |
| 2062 | 156.1137.8–172.7 | 130.8115.1–146.3 |
| 2063 | 160.2140–178.6 | 131.2115.6–147.9 |
| 2064 | 159.3140.5–177.9 | 132.2116.5–147.8 |
| 2065 | 156.7136.6–177.5 | 133.1115.8–148.6 |
| 2066 | 161.6142–180.6 | 133.3117.2–149.4 |
| 2067 | 162.5141.6–183.1 | 133.3117–150.3 |
| 2068 | 162.4140.7–180.1 | 134.6117.4–150.5 |
| 2069 | 162.6143.3–181 | 134.4117.8–150.9 |
| 2070 | 161.4140.4–180.3 | 134.2116.7–151.8 |
| 2071 | 162.1142–181.9 | 136.3120.8–152.7 |
| 2072 | 162.2142.3–179.6 | 137.2119.9–153.1 |
| 2073 | 163.8144.6–182.6 | 136.1119.1–153.6 |
| 2074 | 162.2142.8–181.6 | 136119.7–152.2 |
| 2075 | 163.1143–180.9 | 135.2118.5–151.8 |
| 2076 | 163.2141.1–181.9 | 136.3117.4–154.7 |
| 2077 | 163.1141.8–181.8 | 136.8119.6–152.8 |
| 2078 | 163.9145.8–181.3 | 137.1118.3–154.2 |
| 2079 | 163.3143.1–186 | 138.1121.3–157.1 |
| 2080 | 163142.7–183.3 | 137.6120.5–157.9 |
| 2081 | 165.8142.9–185.5 | 137.8120.7–154.7 |
| 2082 | 164.6145–182.6 | 138.7121.6–155.2 |
| 2083 | 164.2141.3–187 | 139.2119.3–158.8 |
| 2084 | 165.6140.7–187.4 | 140.3123.4–157.5 |
| 2085 | 167.2143.9–187.5 | 139.2120.9–157.2 |
| 2086 | 166.8143.2–186.2 | 139.8121–157.8 |
| 2087 | 165.2142.9–189.1 | 139.5121.5–157.4 |
| 2088 | 167.5146–187.8 | 141121.8–159.9 |
| 2089 | 166.3146.9–184.2 | 140.4121.7–158.9 |
| 2090 | 168.6145–188.3 | 141.2123–160.7 |
| 2091 | 168.3145.8–186.5 | 141.8123–161.6 |
| 2092 | 167.4144.8–185.2 | 141.3122.5–159.3 |
| 2093 | 168.2146–191.5 | 141.4124.3–161 |
| 2094 | 169146.8–187.2 | 142123.3–159.6 |
| 2095 | 169.5146.9–189.1 | 143.5124–160.7 |
| 2096 | 170.2145.3–192.8 | 142.3125–161.3 |
| 2097 | 168.2145.9–187.4 | 141.2123.2–160 |
| 2098 | 169.7149.4–190.8 | 142.2122.5–162 |
| 2099 | 167.1147.5–187.7 | 141.8122.4–160.7 |
| 2100 | 169.9149.9–190.1 | 142.8124.3–160.8 |
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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
澳大利亚与墨西哥对比
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军用
- 军费开支澳大利亚:2025 年为 GDP 的 1.92%墨西哥:2025 年为 GDP 的 0.74%
- 军费开支(美元)澳大利亚:2025 年为 US$353亿墨西哥:2025 年为 US$138亿
- 人均军费开支澳大利亚:2025 年为 US$1,316墨西哥:2025 年为 US$104
- 军费占政府支出比例澳大利亚:2025 年为 4.9%(占政府支出)墨西哥:2025 年为 2.5%(占政府支出)
- 武装部队人员澳大利亚:2020 年为 60,000 人墨西哥:2020 年为 341,000 人
- 国家实力澳大利亚:2022 年为 0.6%(占全球实力)墨西哥:2022 年为 1.14%(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)墨西哥:2020 年为 0.64%(占劳动力)
- 武器进口澳大利亚:2025 年为 8.26亿 TIV墨西哥:2025 年为 900万 TIV
- 武器出口澳大利亚:2025 年为 1.08亿 TIV墨西哥:2019 年为 100万 TIV