喀麦隆与南非对比
喀麦隆与南非:35 °C 以上天数
2014 年35 °C 以上天数:喀麦隆为 31.6 天,南非为 13.2 天(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 18.5 天,是南非的 2.4 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 年喀麦隆为 59.6 天,南非为 40 天。
逐年数据
每年天数 · CMIP6
| 年份 | 喀麦隆 | 南非 |
|---|---|---|
| 2014 | 31.6 | 13.2 |
| 2013 | 30.1 | 15.2 |
| 2012 | 30.4 | 14.3 |
| 2011 | 30.5 | 11.7 |
| 2010 | 29.3 | 12.5 |
| 2009 | 28.8 | 13.2 |
| 2008 | 28.1 | 12.3 |
| 2007 | 27.4 | 12 |
| 2006 | 28.2 | 11.9 |
| 2005 | 27.5 | 13.3 |
| 2004 | 28.1 | 13.9 |
| 2003 | 28.8 | 12.6 |
| 2002 | 28.4 | 12.6 |
| 2001 | 29.9 | 11.1 |
| 2000 | 27 | 11.8 |
| 1999 | 25.9 | 11 |
| 1998 | 26 | 12.1 |
| 1997 | 27.1 | 11.3 |
| 1996 | 25.3 | 9.4 |
| 1995 | 25.6 | 8.3 |
| 1994 | 24.5 | 8.5 |
| 1993 | 24.1 | 7.8 |
| 1992 | 22.5 | 7.1 |
| 1991 | 27.4 | 11.1 |
| 1990 | 27 | 10.1 |
| 1989 | 25.4 | 11.5 |
| 1988 | 26.7 | 9.4 |
| 1987 | 25.3 | 11.5 |
| 1986 | 26.7 | 10.2 |
| 1985 | 24.5 | 8.7 |
| 1984 | 24.9 | 8.7 |
| 1983 | 24.6 | 8.6 |
| 1982 | 25.9 | 10.5 |
| 1981 | 25.8 | 9.7 |
| 1980 | 25 | 10.3 |
| 1979 | 25.7 | 9.4 |
| 1978 | 25 | 9.5 |
| 1977 | 24.6 | 9.3 |
| 1976 | 23.6 | 9 |
| 1975 | 24.8 | 9.3 |
| 1974 | 24.2 | 8.8 |
| 1973 | 25.2 | 9.5 |
| 1972 | 24.3 | 8.4 |
| 1971 | 23.4 | 8.7 |
| 1970 | 24 | 8.2 |
| 1969 | 24.2 | 8.9 |
| 1968 | 23.4 | 8.4 |
| 1967 | 24.5 | 6.9 |
| 1966 | 24.3 | 7.8 |
| 1965 | 24.2 | 7.9 |
| 1964 | 22 | 6.4 |
| 1963 | 23.4 | 7 |
| 1962 | 25.4 | 8.9 |
| 1961 | 25.8 | 10.5 |
| 1960 | 25.6 | 9.7 |
| 1959 | 24.7 | 8.9 |
| 1958 | 25.3 | 9.3 |
| 1957 | 25.3 | 10.3 |
| 1956 | 23.8 | 7.9 |
| 1955 | 25.1 | 10.3 |
| 1954 | 24.8 | 9.1 |
| 1953 | 25.6 | 7.8 |
| 1952 | 25 | 9 |
| 1951 | 26 | 8.4 |
| 1950 | 25.1 | 8.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 喀麦隆 | 南非 |
|---|---|---|
| 2015 | 31.222.9–39.3 | 14.76.8–24 |
| 2016 | 29.121.2–36.5 | 13.46.3–22.2 |
| 2017 | 30.421.9–39.5 | 15.27.7–24.6 |
| 2018 | 30.721.4–41.4 | 179.7–28 |
| 2019 | 29.421.7–40.5 | 14.67.1–24.5 |
| 2020 | 30.621.3–39.2 | 15.77.4–23.5 |
| 2021 | 30.722.7–38.5 | 17.99.4–27 |
| 2022 | 32.223.4–43 | 189.8–29 |
| 2023 | 30.723.6–41.2 | 18.69.9–27.1 |
| 2024 | 3325.6–42.5 | 17.89.8–28 |
| 2025 | 32.624.9–40.6 | 16.57.5–29.6 |
| 2026 | 30.920.8–42.9 | 20.19.3–29.4 |
| 2027 | 3321.9–43 | 19.910.5–32.8 |
| 2028 | 33.124–44.1 | 19.110.6–33.2 |
| 2029 | 34.725.7–46.9 | 21.412.9–33.6 |
| 2030 | 34.824.2–46.3 | 21.19.6–33.9 |
| 2031 | 34.723.8–45.3 | 20.79.9–35.4 |
| 2032 | 35.123.5–47.1 | 2110.9–34.8 |
| 2033 | 35.224.1–50.7 | 22.612.2–34.2 |
| 2034 | 33.524.8–46 | 24.615–35.1 |
| 2035 | 34.524–48.3 | 20.911.7–31.3 |
| 2036 | 33.624.2–46.5 | 21.111.9–32.2 |
| 2037 | 37.324.3–51.9 | 23.412.6–35.2 |
| 2038 | 38.726.6–53.7 | 26.216–36.7 |
| 2039 | 35.526.4–48.4 | 22.611.4–35.9 |
| 2040 | 35.624.7–51.2 | 21.510.9–35.4 |
| 2041 | 39.628.3–52.5 | 23.213.2–35.8 |
| 2042 | 38.925.8–53.8 | 25.214.3–39.6 |
| 2043 | 37.527.5–50.2 | 25.613.4–39.9 |
| 2044 | 37.926.5–52.9 | 26.113.1–41.6 |
| 2045 | 38.927.8–50.3 | 26.813.1–40.3 |
| 2046 | 43.427.8–55.8 | 25.914.5–40.8 |
| 2047 | 42.528.4–58.2 | 26.713.7–41.4 |
| 2048 | 41.429.2–54.9 | 29.215.6–45.4 |
| 2049 | 43.828.1–60 | 29.117.3–44.7 |
| 2050 | 39.727.7–59 | 29.815.7–48.6 |
| 2051 | 40.630.6–61.3 | 27.913.6–45.2 |
| 2052 | 44.528.6–58.3 | 31.918.3–46.8 |
| 2053 | 4229.4–60.5 | 28.318.6–43.2 |
| 2054 | 44.529.6–62.1 | 30.717.3–50.1 |
| 2055 | 44.831–62.2 | 2917.8–48 |
| 2056 | 44.930.7–63.7 | 29.916–45.3 |
| 2057 | 49.632.5–67.3 | 3117.4–50.1 |
| 2058 | 44.632.3–61.7 | 31.115.7–46 |
| 2059 | 46.333.1–63.6 | 3216.1–49.9 |
| 2060 | 48.731.9–68.3 | 33.419.8–49.7 |
| 2061 | 47.429.7–68.6 | 32.718.1–51.1 |
| 2062 | 46.630.6–66.6 | 31.317.7–52.6 |
| 2063 | 48.631.3–68.4 | 32.317.4–50.7 |
| 2064 | 48.831.6–68.9 | 31.817.7–47.6 |
| 2065 | 48.833.3–71.8 | 31.716.2–50.7 |
| 2066 | 48.534.7–71.4 | 34.318.4–55.3 |
| 2067 | 47.132.9–68.2 | 32.617.2–52.4 |
| 2068 | 48.631.9–72.7 | 33.819.2–54.3 |
| 2069 | 50.231.8–71.9 | 34.621.3–52.4 |
| 2070 | 49.630.2–76.7 | 32.819.3–51.1 |
| 2071 | 5134.8–74.1 | 35.320.8–55.8 |
| 2072 | 5235.8–73.5 | 37.820.3–54.6 |
| 2073 | 52.734.3–81.6 | 4425.6–62.1 |
| 2074 | 50.132.7–76.4 | 38.320.7–55.8 |
| 2075 | 51.933.4–74.3 | 34.218.7–53.1 |
| 2076 | 50.835.2–79.3 | 38.822.9–57.5 |
| 2077 | 57.834.8–81.8 | 39.124.2–60.3 |
| 2078 | 53.734.2–79.5 | 35.521.6–53.4 |
| 2079 | 5336.1–79.2 | 40.522.9–59.7 |
| 2080 | 55.133.1–79 | 40.523.4–59 |
| 2081 | 54.534.1–86.2 | 38.523.8–59.9 |
| 2082 | 52.434.5–83.2 | 38.622.5–58.2 |
| 2083 | 54.336.6–85.8 | 38.518.7–62.9 |
| 2084 | 5534.6–81.1 | 39.720.6–58.4 |
| 2085 | 57.636.9–84.5 | 4021.5–65.8 |
| 2086 | 55.935–85.6 | 40.823–63.7 |
| 2087 | 52.634.7–88.1 | 38.324.6–58.6 |
| 2088 | 55.837.5–84.3 | 42.222.6–66.3 |
| 2089 | 54.734.9–87.8 | 41.624.2–59.1 |
| 2090 | 55.236.5–84 | 42.326.1–66.4 |
| 2091 | 5935.8–85 | 43.324.2–63.6 |
| 2092 | 60.238–82.4 | 43.928–61.6 |
| 2093 | 56.838.2–96.1 | 37.521.3–63.4 |
| 2094 | 58.540–85.8 | 41.325.4–65.9 |
| 2095 | 61.835.2–92.3 | 43.522.9–70.2 |
| 2096 | 57.336.3–92.4 | 41.224.1–66.8 |
| 2097 | 53.236.8–84.8 | 37.723.7–60.9 |
| 2098 | 57.236.6–89.8 | 46.425.1–71.4 |
| 2099 | 59.737.2–92.7 | 42.525.1–64.8 |
| 2100 | 59.636.4–89.9 | 4022.2–64.5 |
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
喀麦隆与南非对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支喀麦隆:2025 年为 GDP 的 1.06%南非:2025 年为 GDP 的 0.74%
- 军费开支(美元)喀麦隆:2025 年为 US$5.8亿南非:2025 年为 US$30亿
- 人均军费开支喀麦隆:2025 年为 US$21南非:2025 年为 US$49
- 军费占政府支出比例喀麦隆:2025 年为 6.5%(占政府支出)南非:2025 年为 2.2%(占政府支出)
- 武装部队人员喀麦隆:2020 年为 34,000 人南非:2020 年为 89,000 人
- 国家实力喀麦隆:2022 年为 0.16%(占全球实力)南非:2022 年为 0.55%(占全球实力)
- 武装部队占劳动力比例喀麦隆:2020 年为 0.34%(占劳动力)南非:2020 年为 0.4%(占劳动力)
- 武器进口喀麦隆:2023 年为 200万 TIV南非:2025 年为 3000万 TIV