澳大利亚与埃及对比
澳大利亚与埃及:热带夜
2014 年热带夜:澳大利亚为 135.1 夜,埃及为 145 夜(CMIP6 气候模型中位数模拟)。 2014 年埃及的数值较高,高出 9.9 夜,是澳大利亚的 1.07 倍。
每年夜数 · CMIP6
数据解读
- 自 1989 年超过澳大利亚以来,埃及的数值一直更高。
- 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,埃及为 183.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 澳大利亚 | 埃及 |
|---|---|---|
| 2014 | 135.1 | 145 |
| 2013 | 133 | 145 |
| 2012 | 132.9 | 145.1 |
| 2011 | 133.8 | 144.7 |
| 2010 | 134.2 | 143.5 |
| 2009 | 132.3 | 140.2 |
| 2008 | 132.3 | 142.6 |
| 2007 | 131.8 | 140.5 |
| 2006 | 128.1 | 139.6 |
| 2005 | 131.7 | 140 |
| 2004 | 131.4 | 141.3 |
| 2003 | 132.4 | 141 |
| 2002 | 129.7 | 137.7 |
| 2001 | 130.1 | 139 |
| 2000 | 129.7 | 134.8 |
| 1999 | 127.7 | 135.5 |
| 1998 | 128.1 | 133 |
| 1997 | 124.5 | 134 |
| 1996 | 123.9 | 132.1 |
| 1995 | 123.5 | 130.2 |
| 1994 | 124.4 | 129.8 |
| 1993 | 121.4 | 123.6 |
| 1992 | 116.7 | 126.1 |
| 1991 | 125.1 | 129.7 |
| 1990 | 126 | 129.7 |
| 1989 | 124.4 | 126 |
| 1988 | 125.2 | 124.3 |
| 1987 | 124.4 | 125.8 |
| 1986 | 124.9 | 128.9 |
| 1985 | 122.7 | 125.7 |
| 1984 | 123.9 | 119.4 |
| 1983 | 122.5 | 119.4 |
| 1982 | 124.7 | 120.7 |
| 1981 | 123.3 | 122.6 |
| 1980 | 123.7 | 124.9 |
| 1979 | 122.3 | 119.2 |
| 1978 | 121.2 | 122.6 |
| 1977 | 120.6 | 121.3 |
| 1976 | 121.1 | 123.2 |
| 1975 | 118.6 | 121.9 |
| 1974 | 119.7 | 123.1 |
| 1973 | 123.3 | 123.5 |
| 1972 | 120.2 | 120.1 |
| 1971 | 120.4 | 120.7 |
| 1970 | 118.5 | 119.7 |
| 1969 | 120.9 | 118.3 |
| 1968 | 118.9 | 119.4 |
| 1967 | 118.6 | 116.2 |
| 1966 | 116.5 | 116.1 |
| 1965 | 116.5 | 112.9 |
| 1964 | 112.5 | 116.4 |
| 1963 | 114.6 | 120.2 |
| 1962 | 119 | 118.9 |
| 1961 | 121.9 | 118.7 |
| 1960 | 120.7 | 123.6 |
| 1959 | 120.3 | 123.2 |
| 1958 | 121.8 | 120.7 |
| 1957 | 119.8 | 122.4 |
| 1956 | 119.9 | 122.7 |
| 1955 | 117.5 | 119.4 |
| 1954 | 119.9 | 120.8 |
| 1953 | 118.5 | 121.3 |
| 1952 | 119.9 | 120.7 |
| 1951 | 119.6 | 121.2 |
| 1950 | 119.7 | 118.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 澳大利亚 | 埃及 |
|---|---|---|
| 2015 | 134116.5–149.2 | 149.6131.4–164.2 |
| 2016 | 134.8118.2–149.5 | 147.7133.5–160.2 |
| 2017 | 136.1119.3–149.5 | 150.8134.8–163.2 |
| 2018 | 135.8118.4–151.4 | 147.4133.4–165.6 |
| 2019 | 136.6120.4–151.6 | 149.6132.7–164 |
| 2020 | 136119.8–151.4 | 150.8136.4–164.7 |
| 2021 | 135.6118.6–151.2 | 152.1137.8–168.1 |
| 2022 | 138.6121.4–155.1 | 154138.1–170.6 |
| 2023 | 139.9123.6–155.2 | 154.4139–168.4 |
| 2024 | 141122.4–156.1 | 155.8141.7–168.5 |
| 2025 | 140.9121–159.3 | 154.5139.6–168.1 |
| 2026 | 139.4121.9–157.8 | 155.1144.5–165.9 |
| 2027 | 140.4123.7–156 | 154.2139.5–166.3 |
| 2028 | 141.8125.4–158.7 | 154.5141.8–168.6 |
| 2029 | 143.3126–159.6 | 156.3139.9–169.5 |
| 2030 | 140.1125.4–156.4 | 156.3143.1–169.1 |
| 2031 | 141.6124.9–156.9 | 155.5141.5–171.2 |
| 2032 | 144.6128.6–162.1 | 158.3144.6–170.4 |
| 2033 | 144.5127.7–159.2 | 159.9143.8–172.9 |
| 2034 | 145129.2–161.3 | 159.8144.9–173.2 |
| 2035 | 146.5128.8–161.8 | 163.5146.6–175.8 |
| 2036 | 146.9128–161.8 | 156.2143.7–170.6 |
| 2037 | 146.6130.1–161.6 | 158.8142.9–173.8 |
| 2038 | 148.2131.2–164 | 164.9146.1–177.8 |
| 2039 | 146.9130.3–163.4 | 161.8146.1–180.1 |
| 2040 | 147.9130.6–164.6 | 161.6147.9–176.5 |
| 2041 | 147.6130.5–165.9 | 163.7149.4–177.3 |
| 2042 | 148.2129.2–166.5 | 166.5149.7–180.6 |
| 2043 | 148.9133.1–164.5 | 163.6150.3–176.8 |
| 2044 | 151135.2–166.3 | 162.2147–178 |
| 2045 | 149.3130.9–164.3 | 167.2152.5–181 |
| 2046 | 151.2135.4–168 | 166149–181.1 |
| 2047 | 153.5132.9–169.5 | 165.9151.8–181.5 |
| 2048 | 154.1135.2–171.4 | 167.2154.5–180.1 |
| 2049 | 153.4137.4–170.1 | 165.3148.7–177.9 |
| 2050 | 152.3133–170.6 | 170152.8–183 |
| 2051 | 154.5135.1–171.8 | 165.6152.7–179.5 |
| 2052 | 154.7134.9–175.7 | 167.3156–180.2 |
| 2053 | 153.8131.8–173 | 170.1153.6–183.8 |
| 2054 | 152.8134.4–172.4 | 169153.3–183 |
| 2055 | 155.2138.1–174.8 | 170.5153.5–183.3 |
| 2056 | 157139.6–173.6 | 168.3151.2–181.4 |
| 2057 | 156.3137.4–172.3 | 166.8150.7–185.3 |
| 2058 | 158.3135.3–176.6 | 171.8154.2–188.2 |
| 2059 | 157.9138.9–174.7 | 173.3157.8–188.6 |
| 2060 | 158.4140.3–176.8 | 170.5154.8–189.3 |
| 2061 | 158.8139.6–175.2 | 170.3155.1–184.6 |
| 2062 | 156.1137.8–172.7 | 172.1155.2–185.7 |
| 2063 | 160.2140–178.6 | 169.7152.8–182.6 |
| 2064 | 159.3140.5–177.9 | 172.3155.9–187.2 |
| 2065 | 156.7136.6–177.5 | 173.3159.7–189.9 |
| 2066 | 161.6142–180.6 | 170155–187.7 |
| 2067 | 162.5141.6–183.1 | 176.2161.5–190 |
| 2068 | 162.4140.7–180.1 | 174.6157.3–193.1 |
| 2069 | 162.6143.3–181 | 175.8158.8–191.7 |
| 2070 | 161.4140.4–180.3 | 173.3158.3–191.7 |
| 2071 | 162.1142–181.9 | 176.8158.1–194.7 |
| 2072 | 162.2142.3–179.6 | 177.6160.8–192.1 |
| 2073 | 163.8144.6–182.6 | 176159.2–189.3 |
| 2074 | 162.2142.8–181.6 | 171.9156.5–194.1 |
| 2075 | 163.1143–180.9 | 171.8157–191.9 |
| 2076 | 163.2141.1–181.9 | 177161–194.6 |
| 2077 | 163.1141.8–181.8 | 179.7157–194.1 |
| 2078 | 163.9145.8–181.3 | 178.4161–195 |
| 2079 | 163.3143.1–186 | 178.2160.2–193.7 |
| 2080 | 163142.7–183.3 | 178.5163–193.3 |
| 2081 | 165.8142.9–185.5 | 177.2160–192.8 |
| 2082 | 164.6145–182.6 | 178.8164.5–193.3 |
| 2083 | 164.2141.3–187 | 180.6164.4–195.7 |
| 2084 | 165.6140.7–187.4 | 181.4162.4–197.8 |
| 2085 | 167.2143.9–187.5 | 178.8163–196.7 |
| 2086 | 166.8143.2–186.2 | 181.9166.6–198.8 |
| 2087 | 165.2142.9–189.1 | 178156.4–194.3 |
| 2088 | 167.5146–187.8 | 177.8163.5–196 |
| 2089 | 166.3146.9–184.2 | 180.9163.5–198.9 |
| 2090 | 168.6145–188.3 | 179.9162.4–197.8 |
| 2091 | 168.3145.8–186.5 | 184.2165.1–198.9 |
| 2092 | 167.4144.8–185.2 | 180.3162.9–196.3 |
| 2093 | 168.2146–191.5 | 181.1166.1–198.2 |
| 2094 | 169146.8–187.2 | 185.4168–198.9 |
| 2095 | 169.5146.9–189.1 | 181.9165.5–197.3 |
| 2096 | 170.2145.3–192.8 | 183.1163.5–200.3 |
| 2097 | 168.2145.9–187.4 | 181.5165.4–198.9 |
| 2098 | 169.7149.4–190.8 | 181.7162.1–198.8 |
| 2099 | 167.1147.5–187.7 | 179.9164.2–197.8 |
| 2100 | 169.9149.9–190.1 | 183.4162.9–198.1 |
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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
澳大利亚与埃及对比
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军用
- 军费开支澳大利亚:2025 年为 GDP 的 1.92%埃及:2025 年为 GDP 的 0.61%
- 军费开支(美元)澳大利亚:2025 年为 US$353亿埃及:2025 年为 US$22.6亿
- 人均军费开支澳大利亚:2025 年为 US$1,316埃及:2025 年为 US$21
- 军费占政府支出比例澳大利亚:2025 年为 4.9%(占政府支出)埃及: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 人埃及:2020 年为 836,000 人
- 国家实力澳大利亚:2022 年为 0.6%(占全球实力)埃及:2022 年为 1.18%(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)埃及:2020 年为 2.76%(占劳动力)
- 武器进口澳大利亚:2025 年为 8.26亿 TIV埃及:2025 年为 6.97亿 TIV
- 武器出口澳大利亚:2025 年为 1.08亿 TIV埃及:2024 年为 200万 TIV