澳大利亚与哥伦比亚对比
澳大利亚与哥伦比亚:热带夜
2014 年热带夜:澳大利亚为 135.1 夜,哥伦比亚为 279.9 夜(CMIP6 气候模型中位数模拟)。 2014 年哥伦比亚的数值较高,高出 144.8 夜,是澳大利亚的 2.07 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,哥伦比亚的数值都更高。
- 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,哥伦比亚为 297.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 澳大利亚 | 哥伦比亚 |
|---|---|---|
| 2014 | 135.1 | 279.9 |
| 2013 | 133 | 279.8 |
| 2012 | 132.9 | 280.7 |
| 2011 | 133.8 | 280 |
| 2010 | 134.2 | 279.1 |
| 2009 | 132.3 | 279.3 |
| 2008 | 132.3 | 278.4 |
| 2007 | 131.8 | 277.3 |
| 2006 | 128.1 | 277.5 |
| 2005 | 131.7 | 277.7 |
| 2004 | 131.4 | 278.2 |
| 2003 | 132.4 | 277.5 |
| 2002 | 129.7 | 277.3 |
| 2001 | 130.1 | 278 |
| 2000 | 129.7 | 276.2 |
| 1999 | 127.7 | 274.6 |
| 1998 | 128.1 | 275.2 |
| 1997 | 124.5 | 274.4 |
| 1996 | 123.9 | 271.2 |
| 1995 | 123.5 | 271.3 |
| 1994 | 124.4 | 270.4 |
| 1993 | 121.4 | 268 |
| 1992 | 116.7 | 264.7 |
| 1991 | 125.1 | 273.9 |
| 1990 | 126 | 275.6 |
| 1989 | 124.4 | 271.9 |
| 1988 | 125.2 | 270.3 |
| 1987 | 124.4 | 271.8 |
| 1986 | 124.9 | 271.4 |
| 1985 | 122.7 | 268.4 |
| 1984 | 123.9 | 268.2 |
| 1983 | 122.5 | 265.1 |
| 1982 | 124.7 | 269.2 |
| 1981 | 123.3 | 272.1 |
| 1980 | 123.7 | 270.2 |
| 1979 | 122.3 | 269.3 |
| 1978 | 121.2 | 268.3 |
| 1977 | 120.6 | 269.6 |
| 1976 | 121.1 | 266.1 |
| 1975 | 118.6 | 261.6 |
| 1974 | 119.7 | 266.6 |
| 1973 | 123.3 | 269.9 |
| 1972 | 120.2 | 266.6 |
| 1971 | 120.4 | 265.7 |
| 1970 | 118.5 | 265.4 |
| 1969 | 120.9 | 266 |
| 1968 | 118.9 | 264.6 |
| 1967 | 118.6 | 261.7 |
| 1966 | 116.5 | 263.7 |
| 1965 | 116.5 | 263.2 |
| 1964 | 112.5 | 260.3 |
| 1963 | 114.6 | 254.8 |
| 1962 | 119 | 266.7 |
| 1961 | 121.9 | 267 |
| 1960 | 120.7 | 268.6 |
| 1959 | 120.3 | 265.5 |
| 1958 | 121.8 | 268 |
| 1957 | 119.8 | 267.4 |
| 1956 | 119.9 | 263.3 |
| 1955 | 117.5 | 267.7 |
| 1954 | 119.9 | 267.2 |
| 1953 | 118.5 | 267.9 |
| 1952 | 119.9 | 268.1 |
| 1951 | 119.6 | 267.2 |
| 1950 | 119.7 | 266.5 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 澳大利亚 | 哥伦比亚 |
|---|---|---|
| 2015 | 134116.5–149.2 | 280.4265.9–286.4 |
| 2016 | 134.8118.2–149.5 | 279.9267.9–285.6 |
| 2017 | 136.1119.3–149.5 | 281.7270.6–286.3 |
| 2018 | 135.8118.4–151.4 | 281.5271.8–286.3 |
| 2019 | 136.6120.4–151.6 | 281.1269.5–286.9 |
| 2020 | 136119.8–151.4 | 282.1270.6–287.9 |
| 2021 | 135.6118.6–151.2 | 283.2273.9–287.8 |
| 2022 | 138.6121.4–155.1 | 283.7273.6–288.5 |
| 2023 | 139.9123.6–155.2 | 282.6274.2–288.8 |
| 2024 | 141122.4–156.1 | 284.7274.7–289.8 |
| 2025 | 140.9121–159.3 | 283.5273.3–289.7 |
| 2026 | 139.4121.9–157.8 | 283.4272.7–289.7 |
| 2027 | 140.4123.7–156 | 283.9273.4–289.2 |
| 2028 | 141.8125.4–158.7 | 285275.1–290.7 |
| 2029 | 143.3126–159.6 | 285.8276–290.3 |
| 2030 | 140.1125.4–156.4 | 284.2273.4–289.8 |
| 2031 | 141.6124.9–156.9 | 285.8274.8–291.2 |
| 2032 | 144.6128.6–162.1 | 286.7278.3–292.6 |
| 2033 | 144.5127.7–159.2 | 285.7274.7–290.3 |
| 2034 | 145129.2–161.3 | 285275.8–292.8 |
| 2035 | 146.5128.8–161.8 | 285.9277.3–292 |
| 2036 | 146.9128–161.8 | 286276.9–291.6 |
| 2037 | 146.6130.1–161.6 | 287.5279.3–291.9 |
| 2038 | 148.2131.2–164 | 288279.7–292.4 |
| 2039 | 146.9130.3–163.4 | 287.6278.8–292.7 |
| 2040 | 147.9130.6–164.6 | 287.6279.3–294.5 |
| 2041 | 147.6130.5–165.9 | 288.2279.9–292.7 |
| 2042 | 148.2129.2–166.5 | 288.2278.3–295 |
| 2043 | 148.9133.1–164.5 | 287.7277.7–293.4 |
| 2044 | 151135.2–166.3 | 287.8278.5–295.1 |
| 2045 | 149.3130.9–164.3 | 288.8280.5–293.9 |
| 2046 | 151.2135.4–168 | 290.4281–295.5 |
| 2047 | 153.5132.9–169.5 | 289.9280.6–294.6 |
| 2048 | 154.1135.2–171.4 | 290.7281.4–296.8 |
| 2049 | 153.4137.4–170.1 | 290.9282–295.3 |
| 2050 | 152.3133–170.6 | 290.1280.8–296 |
| 2051 | 154.5135.1–171.8 | 290.6280.9–295.7 |
| 2052 | 154.7134.9–175.7 | 290.9281.9–296.7 |
| 2053 | 153.8131.8–173 | 290.5280.8–296.3 |
| 2054 | 152.8134.4–172.4 | 290.8281.3–297.2 |
| 2055 | 155.2138.1–174.8 | 291.1282.6–298 |
| 2056 | 157139.6–173.6 | 291.5281.5–298.6 |
| 2057 | 156.3137.4–172.3 | 291.5281.2–297.3 |
| 2058 | 158.3135.3–176.6 | 291.8281.7–298.9 |
| 2059 | 157.9138.9–174.7 | 292.8282–299.2 |
| 2060 | 158.4140.3–176.8 | 293.2283–300.1 |
| 2061 | 158.8139.6–175.2 | 292.2281.9–298.7 |
| 2062 | 156.1137.8–172.7 | 292.6282.4–299.7 |
| 2063 | 160.2140–178.6 | 293.6282.3–298.6 |
| 2064 | 159.3140.5–177.9 | 292.7282.9–299.1 |
| 2065 | 156.7136.6–177.5 | 293.8283.6–299.4 |
| 2066 | 161.6142–180.6 | 293.1283.4–299.8 |
| 2067 | 162.5141.6–183.1 | 292.9281.8–299.6 |
| 2068 | 162.4140.7–180.1 | 294.2282.5–300.6 |
| 2069 | 162.6143.3–181 | 292.9282.4–300 |
| 2070 | 161.4140.4–180.3 | 292.9282.8–300.8 |
| 2071 | 162.1142–181.9 | 294.2282.8–301.5 |
| 2072 | 162.2142.3–179.6 | 294.9285.1–301.9 |
| 2073 | 163.8144.6–182.6 | 294.9285.5–302.2 |
| 2074 | 162.2142.8–181.6 | 293.9283.3–300.3 |
| 2075 | 163.1143–180.9 | 294.1283.2–300.6 |
| 2076 | 163.2141.1–181.9 | 294.9284.6–302 |
| 2077 | 163.1141.8–181.8 | 295.3284.3–301.9 |
| 2078 | 163.9145.8–181.3 | 294.4285–302 |
| 2079 | 163.3143.1–186 | 294.8283.7–301.8 |
| 2080 | 163142.7–183.3 | 295.1283.4–302.8 |
| 2081 | 165.8142.9–185.5 | 295.1284.8–302.6 |
| 2082 | 164.6145–182.6 | 295.1284.9–301.3 |
| 2083 | 164.2141.3–187 | 295.4284.5–304.6 |
| 2084 | 165.6140.7–187.4 | 296285.1–304.4 |
| 2085 | 167.2143.9–187.5 | 296.6285–305 |
| 2086 | 166.8143.2–186.2 | 295.6284.8–303.6 |
| 2087 | 165.2142.9–189.1 | 295.3284.1–303.4 |
| 2088 | 167.5146–187.8 | 295.9284.5–305.5 |
| 2089 | 166.3146.9–184.2 | 295.6285–304.5 |
| 2090 | 168.6145–188.3 | 295.7285.8–304.6 |
| 2091 | 168.3145.8–186.5 | 297285–304.9 |
| 2092 | 167.4144.8–185.2 | 296.8286–305.7 |
| 2093 | 168.2146–191.5 | 296.3285.6–305.3 |
| 2094 | 169146.8–187.2 | 296.4285.8–305 |
| 2095 | 169.5146.9–189.1 | 297.9285.6–304.9 |
| 2096 | 170.2145.3–192.8 | 296285.9–307.5 |
| 2097 | 168.2145.9–187.4 | 296.5284.8–303.4 |
| 2098 | 169.7149.4–190.8 | 296.6286–307.3 |
| 2099 | 167.1147.5–187.7 | 297284.6–305.4 |
| 2100 | 169.9149.9–190.1 | 297.4286.5–305.2 |
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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
澳大利亚与哥伦比亚对比
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军用
- 军费开支澳大利亚:2025 年为 GDP 的 1.92%哥伦比亚:2025 年为 GDP 的 3.2%
- 军费开支(美元)澳大利亚:2025 年为 US$353亿哥伦比亚:2025 年为 US$137亿
- 人均军费开支澳大利亚:2025 年为 US$1,316哥伦比亚:2025 年为 US$273
- 军费占政府支出比例澳大利亚:2025 年为 4.9%(占政府支出)哥伦比亚:2025 年为 9.3%(占政府支出)
- 武装部队人员澳大利亚:2020 年为 60,000 人哥伦比亚:2020 年为 428,000 人
- 国家实力澳大利亚:2022 年为 0.6%(占全球实力)哥伦比亚:2022 年为 0.57%(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)哥伦比亚:2020 年为 1.7%(占劳动力)
- 武器进口澳大利亚:2025 年为 8.26亿 TIV哥伦比亚:2025 年为 2200万 TIV
- 武器出口澳大利亚:2025 年为 1.08亿 TIV哥伦比亚:2020 年为 400万 TIV