安哥拉与索马里对比
安哥拉与索马里:热带夜
2014 年热带夜:安哥拉为 61.1 夜,索马里为 295.2 夜(CMIP6 气候模型中位数模拟)。 2014 年索马里的数值较高,高出 234.1 夜,是安哥拉的 4.84 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,索马里的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年安哥拉为 173.4 夜,索马里为 328.2 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 安哥拉 | 索马里 |
|---|---|---|
| 2014 | 61.1 | 295.2 |
| 2013 | 62.3 | 296.8 |
| 2012 | 63.6 | 296.7 |
| 2011 | 59.9 | 297.1 |
| 2010 | 58.9 | 294.6 |
| 2009 | 56.9 | 293.5 |
| 2008 | 54.5 | 292.2 |
| 2007 | 54.6 | 293.3 |
| 2006 | 54 | 292.4 |
| 2005 | 53.8 | 292.3 |
| 2004 | 55.8 | 293.8 |
| 2003 | 55.3 | 293.5 |
| 2002 | 53.2 | 292.1 |
| 2001 | 55 | 292.4 |
| 2000 | 51.4 | 290.2 |
| 1999 | 48.1 | 288.6 |
| 1998 | 50.5 | 289.9 |
| 1997 | 47.9 | 288.8 |
| 1996 | 43.2 | 285 |
| 1995 | 43 | 285.2 |
| 1994 | 41.6 | 284.2 |
| 1993 | 35.9 | 280.2 |
| 1992 | 35.3 | 278.1 |
| 1991 | 45.5 | 286.6 |
| 1990 | 46.7 | 288.5 |
| 1989 | 43.8 | 285.1 |
| 1988 | 42.7 | 285.6 |
| 1987 | 42.7 | 282.5 |
| 1986 | 42.7 | 283.4 |
| 1985 | 39.3 | 279.6 |
| 1984 | 38.2 | 281.4 |
| 1983 | 37.8 | 277.1 |
| 1982 | 40.8 | 283.7 |
| 1981 | 42 | 282.5 |
| 1980 | 39.9 | 280 |
| 1979 | 39.1 | 280.4 |
| 1978 | 38.6 | 280.5 |
| 1977 | 38.6 | 282.9 |
| 1976 | 36.8 | 278.7 |
| 1975 | 38.1 | 276.8 |
| 1974 | 37.4 | 279.3 |
| 1973 | 38.7 | 280.8 |
| 1972 | 36.6 | 278.3 |
| 1971 | 36 | 278.2 |
| 1970 | 36.6 | 278.3 |
| 1969 | 36.5 | 276.8 |
| 1968 | 34.5 | 276.3 |
| 1967 | 32.4 | 274.3 |
| 1966 | 34.3 | 275.9 |
| 1965 | 34.2 | 275.2 |
| 1964 | 31.5 | 275.1 |
| 1963 | 30.5 | 272.9 |
| 1962 | 37.6 | 277.9 |
| 1961 | 37.3 | 280.3 |
| 1960 | 38.7 | 280.8 |
| 1959 | 38 | 278.8 |
| 1958 | 37.3 | 280.9 |
| 1957 | 38 | 280.3 |
| 1956 | 35.1 | 276.1 |
| 1955 | 37.5 | 280.1 |
| 1954 | 36.5 | 278.2 |
| 1953 | 36.2 | 277.2 |
| 1952 | 37.3 | 279.4 |
| 1951 | 37.4 | 279 |
| 1950 | 36.5 | 278.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 安哥拉 | 索马里 |
|---|---|---|
| 2015 | 67.946.7–89.4 | 299.3283.7–311 |
| 2016 | 63.143.9–82.7 | 296.8282.3–308.3 |
| 2017 | 68.248.7–87.9 | 299.6284.6–310.1 |
| 2018 | 69.250.6–90.9 | 301.3287.9–310.2 |
| 2019 | 69.547.5–97.7 | 299.1286.1–311.9 |
| 2020 | 7351.1–97.1 | 299.4285.3–310.3 |
| 2021 | 75.654.9–97.2 | 302.4289.1–313.6 |
| 2022 | 78.758–105.7 | 304.5289.7–314.6 |
| 2023 | 78.357.5–103.3 | 304.1290.6–312.4 |
| 2024 | 83.457.6–108.1 | 303.4290.1–317 |
| 2025 | 79.154–111.7 | 303.1288.8–317.8 |
| 2026 | 82.455.4–117.5 | 303.2288.7–315.4 |
| 2027 | 84.157.6–115.3 | 303.8287.7–314.9 |
| 2028 | 85.862.6–117.4 | 305.4291.3–316.8 |
| 2029 | 9165.8–120 | 307.8294–317.8 |
| 2030 | 87.661.6–119.2 | 304.5289.6–314.9 |
| 2031 | 92.363.9–122.5 | 307.4292.3–317.9 |
| 2032 | 9566.1–124.5 | 308.3292.4–319.6 |
| 2033 | 92.766.8–125 | 307.2292–317.6 |
| 2034 | 91.466.7–131.8 | 305.9292.3–321.2 |
| 2035 | 96.364.7–131.8 | 308.7293.4–321.1 |
| 2036 | 95.964.2–129 | 307.5295.4–317.7 |
| 2037 | 103.870.4–136.7 | 310.1298.4–319.9 |
| 2038 | 105.376.7–136.8 | 311.1296.4–323.2 |
| 2039 | 99.367–137.4 | 308.6295.9–321.9 |
| 2040 | 100.569.2–143.1 | 311.7295.9–324.2 |
| 2041 | 109.975.5–145.2 | 312296.6–321.5 |
| 2042 | 10775.4–153.1 | 311.7295–325.7 |
| 2043 | 102.572.6–148.6 | 312298–323.1 |
| 2044 | 106.872.1–147.2 | 311.4297.3–323 |
| 2045 | 107.276.5–148.5 | 312.3298.6–323 |
| 2046 | 119.383.6–159.4 | 314.4299–327.7 |
| 2047 | 123.483.9–157.3 | 315.8300.2–327.9 |
| 2048 | 121.483.1–161.4 | 316.9302.8–327.5 |
| 2049 | 122.883.6–165.9 | 314.9303.2–325.2 |
| 2050 | 124.786.1–168.1 | 315.9300.6–324.5 |
| 2051 | 122.389.3–169.4 | 314.9301.9–326.9 |
| 2052 | 127.289.2–173.9 | 316.2301.6–329 |
| 2053 | 124.885.7–169.4 | 314.8302.3–326.8 |
| 2054 | 129.386.8–169.7 | 316.2301.5–330.1 |
| 2055 | 127.194.6–174.1 | 317.4302.7–327.8 |
| 2056 | 130.688.2–184.1 | 316.5302.9–332.3 |
| 2057 | 137.790.4–179.2 | 316.8302.5–329.8 |
| 2058 | 134.592.1–179.4 | 316.9300.7–330.9 |
| 2059 | 136.698.3–189.8 | 320.8305.2–332.5 |
| 2060 | 145.896.6–186.9 | 321.3305.7–331.9 |
| 2061 | 136.989.6–192.5 | 317.8304.8–330.3 |
| 2062 | 140.689.9–190 | 319.6304.3–336 |
| 2063 | 142.592.2–189.4 | 320.9305.3–332 |
| 2064 | 142.295.4–186.9 | 319.7306.8–330.5 |
| 2065 | 144.2101–193.2 | 318.3304.6–334.6 |
| 2066 | 144.2100.5–193.3 | 321307.9–333.9 |
| 2067 | 142.496.2–194.4 | 320.5304.3–334.4 |
| 2068 | 150.1103.4–196.7 | 321.7305.6–336.3 |
| 2069 | 145.898.5–197.6 | 322.3308.6–335.4 |
| 2070 | 143.196.6–202.5 | 321.1305.3–335.6 |
| 2071 | 151.7103.6–205.4 | 324.5308.4–336.9 |
| 2072 | 158.8110.5–197.3 | 324.1308.2–334.1 |
| 2073 | 159.8114–208.3 | 323.7308.1–337.9 |
| 2074 | 151.1103.1–205.9 | 322306–334.6 |
| 2075 | 148.7100.3–201.6 | 323.6307.6–336.4 |
| 2076 | 157.3106.3–204.8 | 323.6309–333.3 |
| 2077 | 161.8115.3–206.2 | 324.2309.6–335.9 |
| 2078 | 158.1114–211.5 | 324.7310.1–333.7 |
| 2079 | 158.3109.9–212.9 | 323.2307.6–336.3 |
| 2080 | 162.8109.6–212.5 | 324.7310.6–337.8 |
| 2081 | 161.1112.7–207.9 | 323.2311.1–335.3 |
| 2082 | 161.2114.4–207.5 | 324.3309.4–336.4 |
| 2083 | 159.9106–216.6 | 323.6308.3–342.4 |
| 2084 | 169.2117.7–215.2 | 326.2309.4–337.5 |
| 2085 | 175118.5–226 | 327.7311.9–339.4 |
| 2086 | 160.3115.4–221.3 | 326.6311.1–340.2 |
| 2087 | 162.4118.5–223.3 | 327.3311.5–339.1 |
| 2088 | 169.9116–218.4 | 328.6308.2–341.6 |
| 2089 | 166.9119.1–220 | 326.7312–340.2 |
| 2090 | 165.8119.6–223.4 | 326.5311.7–339.5 |
| 2091 | 175.2120.2–229.1 | 328.6311.5–340.9 |
| 2092 | 172.5119.9–228.5 | 329.1312.2–341.8 |
| 2093 | 169.9116.3–228.6 | 327.3312.1–342.8 |
| 2094 | 172.3118.2–221 | 325.6312–336.2 |
| 2095 | 179122.5–229.5 | 329314–341.2 |
| 2096 | 170.5117.6–228.9 | 327.9311.6–341.9 |
| 2097 | 169.6116.1–222.1 | 325.6311–340 |
| 2098 | 174.6115.2–234.3 | 327.7311.4–341.1 |
| 2099 | 170.7118.3–232.7 | 327.3311.9–339.3 |
| 2100 | 173.4123.5–231 | 328.2313.4–341.2 |
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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
安哥拉与索马里对比
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冲突
军用
- 军费开支安哥拉:2025 年为 GDP 的 1.4%索马里:2025 年为 GDP 的 1.54%
- 军费开支(美元)安哥拉:2025 年为 US$12.6亿索马里:2025 年为 US$1.93亿
- 人均军费开支安哥拉:2025 年为 US$38索马里:2025 年为 US$10
- 军费占政府支出比例安哥拉:2025 年为 5.9%(占政府支出)索马里:2025 年为 20.8%(占政府支出)
- 武装部队人员安哥拉:2020 年为 117,000 人索马里:2020 年为 14,000 人
- 国家实力安哥拉:2022 年为 0.29%(占全球实力)索马里:2022 年为 0.13%(占全球实力)
- 武装部队占劳动力比例安哥拉:2020 年为 0.87%(占劳动力)索马里:2020 年为 0.47%(占劳动力)
- 武器进口安哥拉:2025 年为 8400万 TIV索马里:2025 年为 200万 TIV