安哥拉与卢旺达对比
安哥拉与卢旺达:热带夜
2014 年热带夜:安哥拉为 61.1 夜,卢旺达为 2.4 夜(CMIP6 气候模型中位数模拟)。 2014 年安哥拉的数值较高,高出 58.7 夜,是卢旺达的 26 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,安哥拉的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年安哥拉为 173.4 夜,卢旺达为 34.2 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 安哥拉 | 卢旺达 |
|---|---|---|
| 2014 | 61.1 | 2.4 |
| 2013 | 62.3 | 2.8 |
| 2012 | 63.6 | 2.9 |
| 2011 | 59.9 | 2.7 |
| 2010 | 58.9 | 2.3 |
| 2009 | 56.9 | 2.5 |
| 2008 | 54.5 | 2 |
| 2007 | 54.6 | 1.9 |
| 2006 | 54 | 2.2 |
| 2005 | 53.8 | 2 |
| 2004 | 55.8 | 1.8 |
| 2003 | 55.3 | 1.8 |
| 2002 | 53.2 | 2.4 |
| 2001 | 55 | 2.4 |
| 2000 | 51.4 | 1.7 |
| 1999 | 48.1 | 1.6 |
| 1998 | 50.5 | 1.5 |
| 1997 | 47.9 | 1 |
| 1996 | 43.2 | 1.1 |
| 1995 | 43 | 1.1 |
| 1994 | 41.6 | 1.2 |
| 1993 | 35.9 | 0.9 |
| 1992 | 35.3 | 0.6 |
| 1991 | 45.5 | 1.2 |
| 1990 | 46.7 | 1.7 |
| 1989 | 43.8 | 1.5 |
| 1988 | 42.7 | 1.2 |
| 1987 | 42.7 | 1.3 |
| 1986 | 42.7 | 1.2 |
| 1985 | 39.3 | 0.8 |
| 1984 | 38.2 | 1 |
| 1983 | 37.8 | 0.9 |
| 1982 | 40.8 | 0.8 |
| 1981 | 42 | 1.1 |
| 1980 | 39.9 | 1.1 |
| 1979 | 39.1 | 0.9 |
| 1978 | 38.6 | 0.7 |
| 1977 | 38.6 | 1.1 |
| 1976 | 36.8 | 0.8 |
| 1975 | 38.1 | 1 |
| 1974 | 37.4 | 0.9 |
| 1973 | 38.7 | 1.3 |
| 1972 | 36.6 | 0.7 |
| 1971 | 36 | 0.7 |
| 1970 | 36.6 | 0.6 |
| 1969 | 36.5 | 0.8 |
| 1968 | 34.5 | 0.8 |
| 1967 | 32.4 | 0.5 |
| 1966 | 34.3 | 0.6 |
| 1965 | 34.2 | 0.6 |
| 1964 | 31.5 | 0.4 |
| 1963 | 30.5 | 0.6 |
| 1962 | 37.6 | 0.9 |
| 1961 | 37.3 | 0.8 |
| 1960 | 38.7 | 1.1 |
| 1959 | 38 | 0.7 |
| 1958 | 37.3 | 0.9 |
| 1957 | 38 | 0.8 |
| 1956 | 35.1 | 0.7 |
| 1955 | 37.5 | 0.8 |
| 1954 | 36.5 | 0.9 |
| 1953 | 36.2 | 0.8 |
| 1952 | 37.3 | 0.8 |
| 1951 | 37.4 | 1 |
| 1950 | 36.5 | 0.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 安哥拉 | 卢旺达 |
|---|---|---|
| 2015 | 67.946.7–89.4 | 3.41.5–7.6 |
| 2016 | 63.143.9–82.7 | 2.91.2–5.6 |
| 2017 | 68.248.7–87.9 | 3.41.8–5.5 |
| 2018 | 69.250.6–90.9 | 3.81.8–7.1 |
| 2019 | 69.547.5–97.7 | 3.61.3–6.9 |
| 2020 | 7351.1–97.1 | 4.32.1–7.9 |
| 2021 | 75.654.9–97.2 | 4.22.6–7.5 |
| 2022 | 78.758–105.7 | 42.9–7.8 |
| 2023 | 78.357.5–103.3 | 4.41.9–8.4 |
| 2024 | 83.457.6–108.1 | 52–9.6 |
| 2025 | 79.154–111.7 | 4.42.1–9.5 |
| 2026 | 82.455.4–117.5 | 4.81.7–8.9 |
| 2027 | 84.157.6–115.3 | 4.92.1–8.7 |
| 2028 | 85.862.6–117.4 | 5.21.7–8.7 |
| 2029 | 9165.8–120 | 5.43–9.2 |
| 2030 | 87.661.6–119.2 | 5.33.1–10.2 |
| 2031 | 92.363.9–122.5 | 6.63.4–10.4 |
| 2032 | 9566.1–124.5 | 6.34–12.2 |
| 2033 | 92.766.8–125 | 6.52.8–12 |
| 2034 | 91.466.7–131.8 | 6.13.3–12.4 |
| 2035 | 96.364.7–131.8 | 6.83.2–12.7 |
| 2036 | 95.964.2–129 | 6.83.7–12.7 |
| 2037 | 103.870.4–136.7 | 7.94.3–14.6 |
| 2038 | 105.376.7–136.8 | 8.44.1–15.3 |
| 2039 | 99.367–137.4 | 7.23.6–15.9 |
| 2040 | 100.569.2–143.1 | 7.74.3–14.8 |
| 2041 | 109.975.5–145.2 | 8.44.7–15 |
| 2042 | 10775.4–153.1 | 8.44.4–20.2 |
| 2043 | 102.572.6–148.6 | 7.83.8–16.5 |
| 2044 | 106.872.1–147.2 | 7.24.1–14.5 |
| 2045 | 107.276.5–148.5 | 9.24.6–21 |
| 2046 | 119.383.6–159.4 | 124.6–24.1 |
| 2047 | 123.483.9–157.3 | 11.25.4–26 |
| 2048 | 121.483.1–161.4 | 11.74.6–25.4 |
| 2049 | 122.883.6–165.9 | 12.25.7–26.7 |
| 2050 | 124.786.1–168.1 | 11.75.4–22.9 |
| 2051 | 122.389.3–169.4 | 12.36.4–24 |
| 2052 | 127.289.2–173.9 | 14.56–26.1 |
| 2053 | 124.885.7–169.4 | 12.55–23.9 |
| 2054 | 129.386.8–169.7 | 12.85.6–34.3 |
| 2055 | 127.194.6–174.1 | 12.66.2–32.8 |
| 2056 | 130.688.2–184.1 | 145.6–31.6 |
| 2057 | 137.790.4–179.2 | 14.96–32.3 |
| 2058 | 134.592.1–179.4 | 15.15.3–38.7 |
| 2059 | 136.698.3–189.8 | 14.96.7–38.1 |
| 2060 | 145.896.6–186.9 | 18.46.1–38.2 |
| 2061 | 136.989.6–192.5 | 16.65.9–40.7 |
| 2062 | 140.689.9–190 | 17.25.6–49.3 |
| 2063 | 142.592.2–189.4 | 16.46.3–39.1 |
| 2064 | 142.295.4–186.9 | 21.76.3–40.1 |
| 2065 | 144.2101–193.2 | 17.17.2–40.5 |
| 2066 | 144.2100.5–193.3 | 18.37.2–42.5 |
| 2067 | 142.496.2–194.4 | 16.86.3–50.2 |
| 2068 | 150.1103.4–196.7 | 19.76.6–53.2 |
| 2069 | 145.898.5–197.6 | 17.66–55 |
| 2070 | 143.196.6–202.5 | 18.17.6–53.8 |
| 2071 | 151.7103.6–205.4 | 19.36.3–60 |
| 2072 | 158.8110.5–197.3 | 22.18.7–49.3 |
| 2073 | 159.8114–208.3 | 24.39.2–61.7 |
| 2074 | 151.1103.1–205.9 | 23.28.3–57.2 |
| 2075 | 148.7100.3–201.6 | 21.86.3–53.9 |
| 2076 | 157.3106.3–204.8 | 26.77–59.7 |
| 2077 | 161.8115.3–206.2 | 24.19.1–64.8 |
| 2078 | 158.1114–211.5 | 21.48.3–62.1 |
| 2079 | 158.3109.9–212.9 | 26.47.8–64.8 |
| 2080 | 162.8109.6–212.5 | 28.78.2–62.2 |
| 2081 | 161.1112.7–207.9 | 25.79–66.4 |
| 2082 | 161.2114.4–207.5 | 27.59.2–63.2 |
| 2083 | 159.9106–216.6 | 31.68.7–87 |
| 2084 | 169.2117.7–215.2 | 31.39.4–78.4 |
| 2085 | 175118.5–226 | 35.29.2–79.6 |
| 2086 | 160.3115.4–221.3 | 299.7–76.5 |
| 2087 | 162.4118.5–223.3 | 30.69.5–80 |
| 2088 | 169.9116–218.4 | 32.59.4–76.8 |
| 2089 | 166.9119.1–220 | 27.49.3–82.1 |
| 2090 | 165.8119.6–223.4 | 25.911.4–96.6 |
| 2091 | 175.2120.2–229.1 | 43.28.7–89.1 |
| 2092 | 172.5119.9–228.5 | 33.910.5–89.6 |
| 2093 | 169.9116.3–228.6 | 35.510.9–91 |
| 2094 | 172.3118.2–221 | 34.79.4–91.6 |
| 2095 | 179122.5–229.5 | 40.412.9–106.1 |
| 2096 | 170.5117.6–228.9 | 35.99.8–99.9 |
| 2097 | 169.6116.1–222.1 | 32.69.9–89.6 |
| 2098 | 174.6115.2–234.3 | 35.69.8–105.9 |
| 2099 | 170.7118.3–232.7 | 32.810.9–105.8 |
| 2100 | 173.4123.5–231 | 34.211.1–102.5 |
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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
安哥拉与卢旺达对比
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军用
- 军费开支安哥拉:2025 年为 GDP 的 1.4%卢旺达:2025 年为 GDP 的 1.29%
- 军费开支(美元)安哥拉:2025 年为 US$12.6亿卢旺达:2025 年为 US$1.94亿
- 人均军费开支安哥拉:2025 年为 US$38卢旺达: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)卢旺达:2025 年为 4.7%(占政府支出)
- 武装部队人员安哥拉:2020 年为 117,000 人卢旺达:2020 年为 35,000 人
- 国家实力安哥拉:2022 年为 0.29%(占全球实力)卢旺达:2022 年为 0.07%(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)卢旺达:2020 年为 0.7%(占劳动力)
- 武器进口安哥拉:2025 年为 8400万 TIV卢旺达:2023 年为 3700万 TIV