安哥拉与马里对比
安哥拉与马里:热带夜
2014 年热带夜:安哥拉为 61.1 夜,马里为 250.2 夜(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 189.1 夜,是安哥拉的 4.1 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,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,马里为 283.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 安哥拉 | 马里 |
|---|---|---|
| 2014 | 61.1 | 250.2 |
| 2013 | 62.3 | 247.3 |
| 2012 | 63.6 | 253.1 |
| 2011 | 59.9 | 251.9 |
| 2010 | 58.9 | 250.4 |
| 2009 | 56.9 | 248 |
| 2008 | 54.5 | 247.8 |
| 2007 | 54.6 | 248.1 |
| 2006 | 54 | 245.5 |
| 2005 | 53.8 | 244.3 |
| 2004 | 55.8 | 243.9 |
| 2003 | 55.3 | 247.1 |
| 2002 | 53.2 | 245.8 |
| 2001 | 55 | 245.6 |
| 2000 | 51.4 | 243.2 |
| 1999 | 48.1 | 242.4 |
| 1998 | 50.5 | 240.6 |
| 1997 | 47.9 | 240.7 |
| 1996 | 43.2 | 236.4 |
| 1995 | 43 | 238 |
| 1994 | 41.6 | 236.2 |
| 1993 | 35.9 | 235.1 |
| 1992 | 35.3 | 232 |
| 1991 | 45.5 | 238.7 |
| 1990 | 46.7 | 241 |
| 1989 | 43.8 | 236.3 |
| 1988 | 42.7 | 234.7 |
| 1987 | 42.7 | 236.1 |
| 1986 | 42.7 | 237.1 |
| 1985 | 39.3 | 235.3 |
| 1984 | 38.2 | 233 |
| 1983 | 37.8 | 231.2 |
| 1982 | 40.8 | 234.9 |
| 1981 | 42 | 233.9 |
| 1980 | 39.9 | 231.5 |
| 1979 | 39.1 | 233.8 |
| 1978 | 38.6 | 234.8 |
| 1977 | 38.6 | 233.6 |
| 1976 | 36.8 | 231.7 |
| 1975 | 38.1 | 232.4 |
| 1974 | 37.4 | 229.7 |
| 1973 | 38.7 | 230.3 |
| 1972 | 36.6 | 230.7 |
| 1971 | 36 | 229.5 |
| 1970 | 36.6 | 229.9 |
| 1969 | 36.5 | 227.3 |
| 1968 | 34.5 | 230.5 |
| 1967 | 32.4 | 229 |
| 1966 | 34.3 | 228.1 |
| 1965 | 34.2 | 230.2 |
| 1964 | 31.5 | 228.9 |
| 1963 | 30.5 | 228.2 |
| 1962 | 37.6 | 231.7 |
| 1961 | 37.3 | 231.6 |
| 1960 | 38.7 | 235.1 |
| 1959 | 38 | 231.8 |
| 1958 | 37.3 | 231.8 |
| 1957 | 38 | 233.3 |
| 1956 | 35.1 | 230.7 |
| 1955 | 37.5 | 230.6 |
| 1954 | 36.5 | 232 |
| 1953 | 36.2 | 228.3 |
| 1952 | 37.3 | 229.2 |
| 1951 | 37.4 | 231.4 |
| 1950 | 36.5 | 228.6 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 安哥拉 | 马里 |
|---|---|---|
| 2015 | 67.946.7–89.4 | 247.9231.5–264.7 |
| 2016 | 63.143.9–82.7 | 248231.3–262.6 |
| 2017 | 68.248.7–87.9 | 252.7233.6–268.2 |
| 2018 | 69.250.6–90.9 | 254.2236.4–269 |
| 2019 | 69.547.5–97.7 | 251.6233.5–272.3 |
| 2020 | 7351.1–97.1 | 251.3231.2–270.7 |
| 2021 | 75.654.9–97.2 | 254.8238.5–270 |
| 2022 | 78.758–105.7 | 257237.8–275.3 |
| 2023 | 78.357.5–103.3 | 254.2239.6–269.2 |
| 2024 | 83.457.6–108.1 | 259.3242.3–276.8 |
| 2025 | 79.154–111.7 | 256.2239.2–272.3 |
| 2026 | 82.455.4–117.5 | 256.8237.2–277.8 |
| 2027 | 84.157.6–115.3 | 258.5240.3–273.1 |
| 2028 | 85.862.6–117.4 | 259.7243.6–273.9 |
| 2029 | 9165.8–120 | 260.8240.3–275.3 |
| 2030 | 87.661.6–119.2 | 258.1237.5–272.6 |
| 2031 | 92.363.9–122.5 | 262.2243.4–280.6 |
| 2032 | 9566.1–124.5 | 260.5242.1–278.2 |
| 2033 | 92.766.8–125 | 262.1241.7–280.3 |
| 2034 | 91.466.7–131.8 | 260.7242–275.3 |
| 2035 | 96.364.7–131.8 | 261.5244.8–283.6 |
| 2036 | 95.964.2–129 | 262.5244.6–281.1 |
| 2037 | 103.870.4–136.7 | 264.5245.2–279.6 |
| 2038 | 105.376.7–136.8 | 266246.7–283.2 |
| 2039 | 99.367–137.4 | 262.3245–281.6 |
| 2040 | 100.569.2–143.1 | 263.6247.5–279.6 |
| 2041 | 109.975.5–145.2 | 264.6250.8–283.1 |
| 2042 | 10775.4–153.1 | 265.7245.9–283.5 |
| 2043 | 102.572.6–148.6 | 264.8246.9–278.8 |
| 2044 | 106.872.1–147.2 | 269.3247.4–284.7 |
| 2045 | 107.276.5–148.5 | 265.6248.9–283.7 |
| 2046 | 119.383.6–159.4 | 269.8247.5–286.4 |
| 2047 | 123.483.9–157.3 | 271.9251.2–290.3 |
| 2048 | 121.483.1–161.4 | 270.4254.4–288.2 |
| 2049 | 122.883.6–165.9 | 272252.1–288.2 |
| 2050 | 124.786.1–168.1 | 269.5250.6–286.4 |
| 2051 | 122.389.3–169.4 | 268.8251.7–286.9 |
| 2052 | 127.289.2–173.9 | 270.1252.7–292.1 |
| 2053 | 124.885.7–169.4 | 269.3249.2–288.8 |
| 2054 | 129.386.8–169.7 | 270.3251.7–290.6 |
| 2055 | 127.194.6–174.1 | 270.9252.7–288.1 |
| 2056 | 130.688.2–184.1 | 273248.6–291.4 |
| 2057 | 137.790.4–179.2 | 275.5255.2–295 |
| 2058 | 134.592.1–179.4 | 271252.7–293.2 |
| 2059 | 136.698.3–189.8 | 274.5259.3–299.6 |
| 2060 | 145.896.6–186.9 | 273.5258–293.7 |
| 2061 | 136.989.6–192.5 | 275.4257–298 |
| 2062 | 140.689.9–190 | 270.8251.7–291.8 |
| 2063 | 142.592.2–189.4 | 275.9256.6–292.2 |
| 2064 | 142.295.4–186.9 | 276.4256.6–298.4 |
| 2065 | 144.2101–193.2 | 275.3256–295.1 |
| 2066 | 144.2100.5–193.3 | 276.9260–296.5 |
| 2067 | 142.496.2–194.4 | 272.6255.4–293.3 |
| 2068 | 150.1103.4–196.7 | 277.5258.1–296.5 |
| 2069 | 145.898.5–197.6 | 276.1257.7–293.3 |
| 2070 | 143.196.6–202.5 | 277.2256.6–296.6 |
| 2071 | 151.7103.6–205.4 | 277.2258.4–295.6 |
| 2072 | 158.8110.5–197.3 | 281.9263.8–298.9 |
| 2073 | 159.8114–208.3 | 276.8257.9–296.8 |
| 2074 | 151.1103.1–205.9 | 277.7258.7–295.9 |
| 2075 | 148.7100.3–201.6 | 278.5260.1–298.5 |
| 2076 | 157.3106.3–204.8 | 278.1261.1–294.2 |
| 2077 | 161.8115.3–206.2 | 283.8263.1–302.3 |
| 2078 | 158.1114–211.5 | 283.8263.5–299.4 |
| 2079 | 158.3109.9–212.9 | 278.9259.2–300.6 |
| 2080 | 162.8109.6–212.5 | 281.2262.1–299.4 |
| 2081 | 161.1112.7–207.9 | 279.1259.3–301.8 |
| 2082 | 161.2114.4–207.5 | 280.2260.2–298.4 |
| 2083 | 159.9106–216.6 | 280.8260.8–302.3 |
| 2084 | 169.2117.7–215.2 | 280.4263.8–301 |
| 2085 | 175118.5–226 | 284.6259.2–303 |
| 2086 | 160.3115.4–221.3 | 281.9262.8–302.4 |
| 2087 | 162.4118.5–223.3 | 279.7258.8–302.8 |
| 2088 | 169.9116–218.4 | 282.3260.7–303.3 |
| 2089 | 166.9119.1–220 | 283.4262.4–300.5 |
| 2090 | 165.8119.6–223.4 | 283.9259.8–301.9 |
| 2091 | 175.2120.2–229.1 | 283.1260.4–304.8 |
| 2092 | 172.5119.9–228.5 | 281.6259.7–303.1 |
| 2093 | 169.9116.3–228.6 | 284.8265.8–305.4 |
| 2094 | 172.3118.2–221 | 284.6262.8–305.6 |
| 2095 | 179122.5–229.5 | 283.6262–304.6 |
| 2096 | 170.5117.6–228.9 | 284.9263.3–306.3 |
| 2097 | 169.6116.1–222.1 | 280261–300.5 |
| 2098 | 174.6115.2–234.3 | 282.5262–302.1 |
| 2099 | 170.7118.3–232.7 | 285.3266.2–305.4 |
| 2100 | 173.4123.5–231 | 283.6262.8–304.1 |
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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
安哥拉与马里对比
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军用
- 军费开支安哥拉:2025 年为 GDP 的 1.4%马里:2025 年为 GDP 的 3.87%
- 军费开支(美元)安哥拉:2025 年为 US$12.6亿马里:2025 年为 US$8.83亿
- 人均军费开支安哥拉:2025 年为 US$38马里:2025 年为 US$38
- 军费占政府支出比例安哥拉:2025 年为 5.9%(占政府支出)马里:2025 年为 14.8%(占政府支出)
- 武装部队人员安哥拉:2020 年为 117,000 人马里:2020 年为 41,000 人
- 国家实力安哥拉:2022 年为 0.29%(占全球实力)马里:2022 年为 0.1%(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)马里:2020 年为 0.54%(占劳动力)
- 武器进口安哥拉:2025 年为 8400万 TIV马里:2025 年为 6400万 TIV