安哥拉与喀麦隆对比
安哥拉与喀麦隆:35 °C 以上天数
2014 年35 °C 以上天数:安哥拉为 6.8 天,喀麦隆为 31.6 天(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 24.9 天,是安哥拉的 4.68 倍。
每年天数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,喀麦隆的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年安哥拉为 40.2 天,喀麦隆为 59.6 天。
逐年数据
每年天数 · CMIP6
| 年份 | 安哥拉 | 喀麦隆 |
|---|---|---|
| 2014 | 6.8 | 31.6 |
| 2013 | 6.6 | 30.1 |
| 2012 | 6.7 | 30.4 |
| 2011 | 5.1 | 30.5 |
| 2010 | 5.7 | 29.3 |
| 2009 | 5.5 | 28.8 |
| 2008 | 5 | 28.1 |
| 2007 | 5.3 | 27.4 |
| 2006 | 4.5 | 28.2 |
| 2005 | 5.1 | 27.5 |
| 2004 | 6.4 | 28.1 |
| 2003 | 5.5 | 28.8 |
| 2002 | 5.3 | 28.4 |
| 2001 | 5.2 | 29.9 |
| 2000 | 4.7 | 27 |
| 1999 | 4.4 | 25.9 |
| 1998 | 4.8 | 26 |
| 1997 | 3.7 | 27.1 |
| 1996 | 2.5 | 25.3 |
| 1995 | 3.2 | 25.6 |
| 1994 | 3.1 | 24.5 |
| 1993 | 2.5 | 24.1 |
| 1992 | 1.8 | 22.5 |
| 1991 | 3 | 27.4 |
| 1990 | 3.5 | 27 |
| 1989 | 3.5 | 25.4 |
| 1988 | 3 | 26.7 |
| 1987 | 3.1 | 25.3 |
| 1986 | 3.4 | 26.7 |
| 1985 | 2.7 | 24.5 |
| 1984 | 2.6 | 24.9 |
| 1983 | 2.2 | 24.6 |
| 1982 | 2.3 | 25.9 |
| 1981 | 3 | 25.8 |
| 1980 | 3.1 | 25 |
| 1979 | 2.1 | 25.7 |
| 1978 | 2.5 | 25 |
| 1977 | 2 | 24.6 |
| 1976 | 1.8 | 23.6 |
| 1975 | 2.2 | 24.8 |
| 1974 | 2.4 | 24.2 |
| 1973 | 3 | 25.2 |
| 1972 | 2.4 | 24.3 |
| 1971 | 2.2 | 23.4 |
| 1970 | 2.4 | 24 |
| 1969 | 2.5 | 24.2 |
| 1968 | 1.9 | 23.4 |
| 1967 | 1.7 | 24.5 |
| 1966 | 1.8 | 24.3 |
| 1965 | 1.9 | 24.2 |
| 1964 | 1.6 | 22 |
| 1963 | 1.2 | 23.4 |
| 1962 | 2.2 | 25.4 |
| 1961 | 2.3 | 25.8 |
| 1960 | 2.4 | 25.6 |
| 1959 | 2.5 | 24.7 |
| 1958 | 2.4 | 25.3 |
| 1957 | 2.6 | 25.3 |
| 1956 | 1.8 | 23.8 |
| 1955 | 2.4 | 25.1 |
| 1954 | 2 | 24.8 |
| 1953 | 1.9 | 25.6 |
| 1952 | 2.5 | 25 |
| 1951 | 2 | 26 |
| 1950 | 2.4 | 25.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 安哥拉 | 喀麦隆 |
|---|---|---|
| 2015 | 7.72.3–15.6 | 31.222.9–39.3 |
| 2016 | 6.42.2–12.4 | 29.121.2–36.5 |
| 2017 | 72.4–13.3 | 30.421.9–39.5 |
| 2018 | 7.52.5–14.5 | 30.721.4–41.4 |
| 2019 | 7.11.9–15.6 | 29.421.7–40.5 |
| 2020 | 9.22.8–15.8 | 30.621.3–39.2 |
| 2021 | 8.53.8–16.5 | 30.722.7–38.5 |
| 2022 | 9.24.5–17 | 32.223.4–43 |
| 2023 | 10.85.1–18.5 | 30.723.6–41.2 |
| 2024 | 104.3–18.2 | 3325.6–42.5 |
| 2025 | 9.53.7–20.8 | 32.624.9–40.6 |
| 2026 | 115.6–21.6 | 30.920.8–42.9 |
| 2027 | 115.4–20.3 | 3321.9–43 |
| 2028 | 10.95.1–20.7 | 33.124–44.1 |
| 2029 | 12.56.7–21.1 | 34.725.7–46.9 |
| 2030 | 11.85.9–21.5 | 34.824.2–46.3 |
| 2031 | 12.24.9–23.5 | 34.723.8–45.3 |
| 2032 | 13.16.3–23.7 | 35.123.5–47.1 |
| 2033 | 12.65.6–23.2 | 35.224.1–50.7 |
| 2034 | 14.54.8–28.7 | 33.524.8–46 |
| 2035 | 14.14.4–26.4 | 34.524–48.3 |
| 2036 | 12.85.2–24.2 | 33.624.2–46.5 |
| 2037 | 14.46.1–27.9 | 37.324.3–51.9 |
| 2038 | 14.55.9–27.2 | 38.726.6–53.7 |
| 2039 | 13.94.7–25.4 | 35.526.4–48.4 |
| 2040 | 14.25.8–26.6 | 35.624.7–51.2 |
| 2041 | 16.98.1–29.8 | 39.628.3–52.5 |
| 2042 | 178.3–30.9 | 38.925.8–53.8 |
| 2043 | 15.77.2–28.7 | 37.527.5–50.2 |
| 2044 | 15.15.8–27.4 | 37.926.5–52.9 |
| 2045 | 15.26.5–28.2 | 38.927.8–50.3 |
| 2046 | 18.68.8–35.4 | 43.427.8–55.8 |
| 2047 | 209.1–33.3 | 42.528.4–58.2 |
| 2048 | 19.48.3–36.5 | 41.429.2–54.9 |
| 2049 | 18.98.9–36.3 | 43.828.1–60 |
| 2050 | 19.88.3–38.8 | 39.727.7–59 |
| 2051 | 19.310.1–38 | 40.630.6–61.3 |
| 2052 | 21.69–41 | 44.528.6–58.3 |
| 2053 | 20.811.3–37.5 | 4229.4–60.5 |
| 2054 | 23.49.3–42.3 | 44.529.6–62.1 |
| 2055 | 22.311.3–41.6 | 44.831–62.2 |
| 2056 | 21.210.8–41.6 | 44.930.7–63.7 |
| 2057 | 22.610–46.5 | 49.632.5–67.3 |
| 2058 | 22.49.2–43.2 | 44.632.3–61.7 |
| 2059 | 24.612.4–45.2 | 46.333.1–63.6 |
| 2060 | 26.911.9–48.6 | 48.731.9–68.3 |
| 2061 | 26.59.8–48.2 | 47.429.7–68.6 |
| 2062 | 23.311.4–48.1 | 46.630.6–66.6 |
| 2063 | 23.310–47 | 48.631.3–68.4 |
| 2064 | 24.911.5–49.3 | 48.831.6–68.9 |
| 2065 | 27.511.3–55.7 | 48.833.3–71.8 |
| 2066 | 26.111.3–52.4 | 48.534.7–71.4 |
| 2067 | 25.211.4–51.7 | 47.132.9–68.2 |
| 2068 | 25.812.4–46.5 | 48.631.9–72.7 |
| 2069 | 27.612.3–50.5 | 50.231.8–71.9 |
| 2070 | 27.211.5–53.6 | 49.630.2–76.7 |
| 2071 | 30.912.7–53.6 | 5134.8–74.1 |
| 2072 | 28.913.8–48.4 | 5235.8–73.5 |
| 2073 | 32.813.7–61.3 | 52.734.3–81.6 |
| 2074 | 28.414–58.7 | 50.132.7–76.4 |
| 2075 | 29.311.8–52.4 | 51.933.4–74.3 |
| 2076 | 32.811.3–59.9 | 50.835.2–79.3 |
| 2077 | 32.914.1–58.2 | 57.834.8–81.8 |
| 2078 | 31.514.4–61.9 | 53.734.2–79.5 |
| 2079 | 31.713.8–60.4 | 5336.1–79.2 |
| 2080 | 32.214.1–59.6 | 55.133.1–79 |
| 2081 | 32.414.8–63.1 | 54.534.1–86.2 |
| 2082 | 32.115.6–66.5 | 52.434.5–83.2 |
| 2083 | 34.712.4–67.7 | 54.336.6–85.8 |
| 2084 | 34.614.2–59.6 | 5534.6–81.1 |
| 2085 | 3817.2–65.3 | 57.636.9–84.5 |
| 2086 | 33.414–73.7 | 55.935–85.6 |
| 2087 | 34.415.7–66.4 | 52.634.7–88.1 |
| 2088 | 3513.6–68.5 | 55.837.5–84.3 |
| 2089 | 3818.2–63.8 | 54.734.9–87.8 |
| 2090 | 35.816.2–62.7 | 55.236.5–84 |
| 2091 | 38.215.2–72 | 5935.8–85 |
| 2092 | 36.115.9–71.3 | 60.238–82.4 |
| 2093 | 34.216.4–71.4 | 56.838.2–96.1 |
| 2094 | 39.317.9–69.9 | 58.540–85.8 |
| 2095 | 40.515.2–71.5 | 61.835.2–92.3 |
| 2096 | 38.214.4–68.2 | 57.336.3–92.4 |
| 2097 | 34.115.5–64.3 | 53.236.8–84.8 |
| 2098 | 36.914.6–74.5 | 57.236.6–89.8 |
| 2099 | 35.814.7–75.4 | 59.737.2–92.7 |
| 2100 | 40.214.4–70.7 | 59.636.4–89.9 |
分别查看各国
须知
- 一年中最高气温超过 35 °C 的天数,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
安哥拉与喀麦隆对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支安哥拉:2025 年为 GDP 的 1.4%喀麦隆:2025 年为 GDP 的 1.06%
- 军费开支(美元)安哥拉:2025 年为 US$12.6亿喀麦隆:2025 年为 US$5.8亿
- 人均军费开支安哥拉:2025 年为 US$38喀麦隆:2025 年为 US$21
- 军费占政府支出比例安哥拉:2025 年为 5.9%(占政府支出)喀麦隆:2025 年为 6.5%(占政府支出)
- 武装部队人员安哥拉:2020 年为 117,000 人喀麦隆:2020 年为 34,000 人
- 国家实力安哥拉:2022 年为 0.29%(占全球实力)喀麦隆:2022 年为 0.16%(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)喀麦隆:2020 年为 0.34%(占劳动力)
- 武器进口安哥拉:2025 年为 8400万 TIV喀麦隆:2023 年为 200万 TIV