安哥拉与莫桑比克对比
安哥拉与莫桑比克:热带夜
2014 年热带夜:安哥拉为 61.1 夜,莫桑比克为 186.3 夜(CMIP6 气候模型中位数模拟)。 2014 年莫桑比克的数值较高,高出 125.3 夜,是安哥拉的 3.05 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,莫桑比克的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年安哥拉为 173.4 夜,莫桑比克为 254.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 安哥拉 | 莫桑比克 |
|---|---|---|
| 2014 | 61.1 | 186.3 |
| 2013 | 62.3 | 186.9 |
| 2012 | 63.6 | 185.2 |
| 2011 | 59.9 | 184.1 |
| 2010 | 58.9 | 182.2 |
| 2009 | 56.9 | 178.2 |
| 2008 | 54.5 | 176.8 |
| 2007 | 54.6 | 178.9 |
| 2006 | 54 | 177.4 |
| 2005 | 53.8 | 176.9 |
| 2004 | 55.8 | 181 |
| 2003 | 55.3 | 180 |
| 2002 | 53.2 | 177.1 |
| 2001 | 55 | 180.6 |
| 2000 | 51.4 | 173.6 |
| 1999 | 48.1 | 171.5 |
| 1998 | 50.5 | 174.1 |
| 1997 | 47.9 | 169.9 |
| 1996 | 43.2 | 164.7 |
| 1995 | 43 | 165.8 |
| 1994 | 41.6 | 163.1 |
| 1993 | 35.9 | 155.5 |
| 1992 | 35.3 | 156 |
| 1991 | 45.5 | 167.5 |
| 1990 | 46.7 | 170.2 |
| 1989 | 43.8 | 164 |
| 1988 | 42.7 | 166.4 |
| 1987 | 42.7 | 166 |
| 1986 | 42.7 | 166.6 |
| 1985 | 39.3 | 159.3 |
| 1984 | 38.2 | 161.1 |
| 1983 | 37.8 | 159.7 |
| 1982 | 40.8 | 160.6 |
| 1981 | 42 | 164.5 |
| 1980 | 39.9 | 161.9 |
| 1979 | 39.1 | 162.2 |
| 1978 | 38.6 | 160.2 |
| 1977 | 38.6 | 160.2 |
| 1976 | 36.8 | 157.4 |
| 1975 | 38.1 | 157.7 |
| 1974 | 37.4 | 159.1 |
| 1973 | 38.7 | 160.4 |
| 1972 | 36.6 | 157.6 |
| 1971 | 36 | 155.6 |
| 1970 | 36.6 | 159.7 |
| 1969 | 36.5 | 157.8 |
| 1968 | 34.5 | 153 |
| 1967 | 32.4 | 152.8 |
| 1966 | 34.3 | 152.5 |
| 1965 | 34.2 | 153.1 |
| 1964 | 31.5 | 145.9 |
| 1963 | 30.5 | 146.8 |
| 1962 | 37.6 | 158.5 |
| 1961 | 37.3 | 158.8 |
| 1960 | 38.7 | 160.6 |
| 1959 | 38 | 159.7 |
| 1958 | 37.3 | 159.5 |
| 1957 | 38 | 156.9 |
| 1956 | 35.1 | 153.4 |
| 1955 | 37.5 | 159.6 |
| 1954 | 36.5 | 155.4 |
| 1953 | 36.2 | 156.8 |
| 1952 | 37.3 | 156.6 |
| 1951 | 37.4 | 157.4 |
| 1950 | 36.5 | 156.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 安哥拉 | 莫桑比克 |
|---|---|---|
| 2015 | 67.946.7–89.4 | 191170.1–212.1 |
| 2016 | 63.143.9–82.7 | 187.6168.6–208.2 |
| 2017 | 68.248.7–87.9 | 190.1169.4–210.1 |
| 2018 | 69.250.6–90.9 | 189.8163.6–212.8 |
| 2019 | 69.547.5–97.7 | 189.7171.9–208.8 |
| 2020 | 7351.1–97.1 | 191.3169–213.8 |
| 2021 | 75.654.9–97.2 | 193.1172.7–212.9 |
| 2022 | 78.758–105.7 | 199.9176.3–216.7 |
| 2023 | 78.357.5–103.3 | 196.8176.4–217.3 |
| 2024 | 83.457.6–108.1 | 199.7173.4–222.8 |
| 2025 | 79.154–111.7 | 195.7173–219.1 |
| 2026 | 82.455.4–117.5 | 197.7172.6–219.3 |
| 2027 | 84.157.6–115.3 | 199.9177.9–221.8 |
| 2028 | 85.862.6–117.4 | 202.5181.1–221.1 |
| 2029 | 9165.8–120 | 207.6187.3–227.3 |
| 2030 | 87.661.6–119.2 | 203.6183.2–223.8 |
| 2031 | 92.363.9–122.5 | 207.3188.7–225 |
| 2032 | 9566.1–124.5 | 207.4186.7–230.9 |
| 2033 | 92.766.8–125 | 206.1180.7–226.1 |
| 2034 | 91.466.7–131.8 | 206.3181.3–227.7 |
| 2035 | 96.364.7–131.8 | 208.2184.1–233.6 |
| 2036 | 95.964.2–129 | 208.3183.8–226.4 |
| 2037 | 103.870.4–136.7 | 213.7191.8–234.3 |
| 2038 | 105.376.7–136.8 | 218.4195.7–240.9 |
| 2039 | 99.367–137.4 | 212.6192.3–233.5 |
| 2040 | 100.569.2–143.1 | 212.7189–233.9 |
| 2041 | 109.975.5–145.2 | 213.1187.1–238 |
| 2042 | 10775.4–153.1 | 214.9190.4–241.3 |
| 2043 | 102.572.6–148.6 | 216196.2–238.9 |
| 2044 | 106.872.1–147.2 | 220.2196.1–242.1 |
| 2045 | 107.276.5–148.5 | 217.2198.6–237.6 |
| 2046 | 119.383.6–159.4 | 224.4200.5–247.6 |
| 2047 | 123.483.9–157.3 | 224.5201.3–246.3 |
| 2048 | 121.483.1–161.4 | 225.7205–247.5 |
| 2049 | 122.883.6–165.9 | 226.4199.2–247.8 |
| 2050 | 124.786.1–168.1 | 225.5198.1–246.6 |
| 2051 | 122.389.3–169.4 | 227.5206.2–248.7 |
| 2052 | 127.289.2–173.9 | 230.5208.6–255.2 |
| 2053 | 124.885.7–169.4 | 226.3200.4–250 |
| 2054 | 129.386.8–169.7 | 227.8203.9–256.1 |
| 2055 | 127.194.6–174.1 | 231.5208.3–254.4 |
| 2056 | 130.688.2–184.1 | 227.8204.6–253.1 |
| 2057 | 137.790.4–179.2 | 227.6205.7–252.2 |
| 2058 | 134.592.1–179.4 | 230.2208.3–251.8 |
| 2059 | 136.698.3–189.8 | 235.5212.5–261.4 |
| 2060 | 145.896.6–186.9 | 237.5208.9–257.9 |
| 2061 | 136.989.6–192.5 | 232.1204.8–256.1 |
| 2062 | 140.689.9–190 | 233.2208.6–257.9 |
| 2063 | 142.592.2–189.4 | 233.3207.3–261.6 |
| 2064 | 142.295.4–186.9 | 234.6209.3–255.8 |
| 2065 | 144.2101–193.2 | 236208.7–261 |
| 2066 | 144.2100.5–193.3 | 239.4213.6–261.8 |
| 2067 | 142.496.2–194.4 | 235.5205.9–259.4 |
| 2068 | 150.1103.4–196.7 | 237.7211–264.3 |
| 2069 | 145.898.5–197.6 | 241.1212.2–263.4 |
| 2070 | 143.196.6–202.5 | 240.7212.1–266 |
| 2071 | 151.7103.6–205.4 | 244.1214.3–272.8 |
| 2072 | 158.8110.5–197.3 | 244.7215.8–267.8 |
| 2073 | 159.8114–208.3 | 246214.2–267.6 |
| 2074 | 151.1103.1–205.9 | 242.2219.9–271.1 |
| 2075 | 148.7100.3–201.6 | 244.4215.6–267.9 |
| 2076 | 157.3106.3–204.8 | 240.8211–264.8 |
| 2077 | 161.8115.3–206.2 | 241.4214.7–272.4 |
| 2078 | 158.1114–211.5 | 245.4220.8–271.1 |
| 2079 | 158.3109.9–212.9 | 244.1214.3–276.4 |
| 2080 | 162.8109.6–212.5 | 246.1221–273.6 |
| 2081 | 161.1112.7–207.9 | 245.6214.5–268.1 |
| 2082 | 161.2114.4–207.5 | 246.9220.6–268.3 |
| 2083 | 159.9106–216.6 | 247.3217.4–276.4 |
| 2084 | 169.2117.7–215.2 | 248.5223.3–270.9 |
| 2085 | 175118.5–226 | 253.4221.5–277.6 |
| 2086 | 160.3115.4–221.3 | 242.9216.4–272.3 |
| 2087 | 162.4118.5–223.3 | 247.4222.8–271.3 |
| 2088 | 169.9116–218.4 | 253221.1–274.9 |
| 2089 | 166.9119.1–220 | 251.6221.9–277.3 |
| 2090 | 165.8119.6–223.4 | 249.9218.6–277.9 |
| 2091 | 175.2120.2–229.1 | 253.2221.4–280.8 |
| 2092 | 172.5119.9–228.5 | 252.7221.5–279.5 |
| 2093 | 169.9116.3–228.6 | 256221.7–279.4 |
| 2094 | 172.3118.2–221 | 251.8221–280.3 |
| 2095 | 179122.5–229.5 | 255.6225.8–278.1 |
| 2096 | 170.5117.6–228.9 | 254.7225.8–280.4 |
| 2097 | 169.6116.1–222.1 | 253.2221.8–281.6 |
| 2098 | 174.6115.2–234.3 | 256.1225.2–279.6 |
| 2099 | 170.7118.3–232.7 | 254.9223.4–278.7 |
| 2100 | 173.4123.5–231 | 254.4226.1–279.1 |
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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
安哥拉与莫桑比克对比
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军用
- 军费开支安哥拉:2025 年为 GDP 的 1.4%莫桑比克:2025 年为 GDP 的 1.87%
- 军费开支(美元)安哥拉:2025 年为 US$12.6亿莫桑比克:2025 年为 US$4.46亿
- 人均军费开支安哥拉:2025 年为 US$38莫桑比克:2025 年为 US$13
- 军费占政府支出比例安哥拉:2025 年为 5.9%(占政府支出)莫桑比克:2025 年为 6%(占政府支出)
- 武装部队人员安哥拉:2020 年为 117,000 人莫桑比克:2020 年为 11,000 人
- 国家实力安哥拉:2022 年为 0.29%(占全球实力)莫桑比克: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)莫桑比克:2020 年为 0.08%(占劳动力)
- 武器进口安哥拉:2025 年为 8400万 TIV莫桑比克:2025 年为 1400万 TIV
- 武器出口安哥拉:2002 年为 200万 TIV莫桑比克:1977 年为 100万 TIV