科特迪瓦与南非对比
科特迪瓦与南非:35 °C 以上天数
2014 年35 °C 以上天数:科特迪瓦为 36.4 天,南非为 13.2 天(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 23.2 天,是南非的 2.76 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,科特迪瓦的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年科特迪瓦为 110.6 天,南非为 40 天。
逐年数据
每年天数 · CMIP6
| 年份 | 科特迪瓦 | 南非 |
|---|---|---|
| 2014 | 36.4 | 13.2 |
| 2013 | 37.7 | 15.2 |
| 2012 | 35 | 14.3 |
| 2011 | 35.7 | 11.7 |
| 2010 | 33.9 | 12.5 |
| 2009 | 32.7 | 13.2 |
| 2008 | 29.4 | 12.3 |
| 2007 | 31 | 12 |
| 2006 | 29.7 | 11.9 |
| 2005 | 32.3 | 13.3 |
| 2004 | 33.6 | 13.9 |
| 2003 | 30.8 | 12.6 |
| 2002 | 31.2 | 12.6 |
| 2001 | 32.8 | 11.1 |
| 2000 | 30.7 | 11.8 |
| 1999 | 29.5 | 11 |
| 1998 | 29.1 | 12.1 |
| 1997 | 28.5 | 11.3 |
| 1996 | 22 | 9.4 |
| 1995 | 23.7 | 8.3 |
| 1994 | 23.7 | 8.5 |
| 1993 | 19.8 | 7.8 |
| 1992 | 18.4 | 7.1 |
| 1991 | 27.1 | 11.1 |
| 1990 | 28.5 | 10.1 |
| 1989 | 24.1 | 11.5 |
| 1988 | 26.3 | 9.4 |
| 1987 | 25.3 | 11.5 |
| 1986 | 25.7 | 10.2 |
| 1985 | 24.4 | 8.7 |
| 1984 | 24.5 | 8.7 |
| 1983 | 24.3 | 8.6 |
| 1982 | 25.5 | 10.5 |
| 1981 | 25.4 | 9.7 |
| 1980 | 23.3 | 10.3 |
| 1979 | 24.1 | 9.4 |
| 1978 | 23.9 | 9.5 |
| 1977 | 23.5 | 9.3 |
| 1976 | 22.4 | 9 |
| 1975 | 21.1 | 9.3 |
| 1974 | 22.5 | 8.8 |
| 1973 | 22.7 | 9.5 |
| 1972 | 21.3 | 8.4 |
| 1971 | 21.8 | 8.7 |
| 1970 | 21.6 | 8.2 |
| 1969 | 23.9 | 8.9 |
| 1968 | 20.1 | 8.4 |
| 1967 | 18.6 | 6.9 |
| 1966 | 22.3 | 7.8 |
| 1965 | 19.2 | 7.9 |
| 1964 | 14.2 | 6.4 |
| 1963 | 22.2 | 7 |
| 1962 | 23.5 | 8.9 |
| 1961 | 22.7 | 10.5 |
| 1960 | 25.2 | 9.7 |
| 1959 | 23.5 | 8.9 |
| 1958 | 24.4 | 9.3 |
| 1957 | 21.8 | 10.3 |
| 1956 | 21.9 | 7.9 |
| 1955 | 25 | 10.3 |
| 1954 | 22.3 | 9.1 |
| 1953 | 20.9 | 7.8 |
| 1952 | 21 | 9 |
| 1951 | 24.3 | 8.4 |
| 1950 | 21.3 | 8.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 科特迪瓦 | 南非 |
|---|---|---|
| 2015 | 39.425–57.3 | 14.76.8–24 |
| 2016 | 35.216.8–50.3 | 13.46.3–22.2 |
| 2017 | 3620.5–51.5 | 15.27.7–24.6 |
| 2018 | 37.619–57.1 | 179.7–28 |
| 2019 | 37.320.4–58.7 | 14.67.1–24.5 |
| 2020 | 38.122.5–63 | 15.77.4–23.5 |
| 2021 | 39.826.1–54.4 | 17.99.4–27 |
| 2022 | 4525.4–64.1 | 189.8–29 |
| 2023 | 40.323.9–55.9 | 18.69.9–27.1 |
| 2024 | 43.329.5–64.3 | 17.89.8–28 |
| 2025 | 44.224.5–59.9 | 16.57.5–29.6 |
| 2026 | 44.322.5–67 | 20.19.3–29.4 |
| 2027 | 44.518.2–68.2 | 19.910.5–32.8 |
| 2028 | 45.423.3–70.2 | 19.110.6–33.2 |
| 2029 | 48.427.4–73.1 | 21.412.9–33.6 |
| 2030 | 47.826.8–74.8 | 21.19.6–33.9 |
| 2031 | 49.926.4–70.3 | 20.79.9–35.4 |
| 2032 | 50.425–75.3 | 2110.9–34.8 |
| 2033 | 53.229.1–74.9 | 22.612.2–34.2 |
| 2034 | 51.430.2–72.8 | 24.615–35.1 |
| 2035 | 5128.1–75.7 | 20.911.7–31.3 |
| 2036 | 50.925.8–79.3 | 21.111.9–32.2 |
| 2037 | 60.830–84.2 | 23.412.6–35.2 |
| 2038 | 60.135.1–86.1 | 26.216–36.7 |
| 2039 | 56.536.2–81.3 | 22.611.4–35.9 |
| 2040 | 54.231.5–91.5 | 21.510.9–35.4 |
| 2041 | 6539.9–87.6 | 23.213.2–35.8 |
| 2042 | 6137–84.8 | 25.214.3–39.6 |
| 2043 | 56.936.2–84.4 | 25.613.4–39.9 |
| 2044 | 62.538.5–92.4 | 26.113.1–41.6 |
| 2045 | 6638.2–93.7 | 26.813.1–40.3 |
| 2046 | 67.336.4–92.2 | 25.914.5–40.8 |
| 2047 | 71.837.3–96.2 | 26.713.7–41.4 |
| 2048 | 67.544.2–94.9 | 29.215.6–45.4 |
| 2049 | 67.342.7–100.2 | 29.117.3–44.7 |
| 2050 | 62.941–102.8 | 29.815.7–48.6 |
| 2051 | 67.939.3–102.7 | 27.913.6–45.2 |
| 2052 | 75.641.4–107 | 31.918.3–46.8 |
| 2053 | 69.643.7–109.3 | 28.318.6–43.2 |
| 2054 | 72.942.2–107.6 | 30.717.3–50.1 |
| 2055 | 77.446.2–112.6 | 2917.8–48 |
| 2056 | 75.246.8–112.7 | 29.916–45.3 |
| 2057 | 80.146.7–110.5 | 3117.4–50.1 |
| 2058 | 76.444.6–105.3 | 31.115.7–46 |
| 2059 | 77.848.5–119.8 | 3216.1–49.9 |
| 2060 | 81.649.8–115.6 | 33.419.8–49.7 |
| 2061 | 82.447.9–117.4 | 32.718.1–51.1 |
| 2062 | 73.847.7–115.8 | 31.317.7–52.6 |
| 2063 | 83.655.4–125.6 | 32.317.4–50.7 |
| 2064 | 80.148.8–114.1 | 31.817.7–47.6 |
| 2065 | 86.652.1–119 | 31.716.2–50.7 |
| 2066 | 79.854.4–119.2 | 34.318.4–55.3 |
| 2067 | 8152.6–119.3 | 32.617.2–52.4 |
| 2068 | 87.151.2–124.3 | 33.819.2–54.3 |
| 2069 | 9049.1–129.5 | 34.621.3–52.4 |
| 2070 | 82.945.1–131.3 | 32.819.3–51.1 |
| 2071 | 81.952.8–131.5 | 35.320.8–55.8 |
| 2072 | 89.453–124.2 | 37.820.3–54.6 |
| 2073 | 94.850–142.1 | 4425.6–62.1 |
| 2074 | 83.553.4–142.6 | 38.320.7–55.8 |
| 2075 | 89.751.6–131.7 | 34.218.7–53.1 |
| 2076 | 96.257.8–132 | 38.822.9–57.5 |
| 2077 | 98.950.4–141.2 | 39.124.2–60.3 |
| 2078 | 9157.1–137.8 | 35.521.6–53.4 |
| 2079 | 94.156.6–139.9 | 40.522.9–59.7 |
| 2080 | 103.354.6–141.4 | 40.523.4–59 |
| 2081 | 96.658.5–139.2 | 38.523.8–59.9 |
| 2082 | 98.855.7–136.5 | 38.622.5–58.2 |
| 2083 | 99.660.7–141.8 | 38.518.7–62.9 |
| 2084 | 98.557.3–141.8 | 39.720.6–58.4 |
| 2085 | 108.660.6–148.6 | 4021.5–65.8 |
| 2086 | 102.359.9–144.7 | 40.823–63.7 |
| 2087 | 99.854.5–143.3 | 38.324.6–58.6 |
| 2088 | 101.756.4–138 | 42.222.6–66.3 |
| 2089 | 89.560.4–138.3 | 41.624.2–59.1 |
| 2090 | 98.358.5–146.7 | 42.326.1–66.4 |
| 2091 | 103.466.1–145.8 | 43.324.2–63.6 |
| 2092 | 109.559.6–150.7 | 43.928–61.6 |
| 2093 | 102.561.4–163.2 | 37.521.3–63.4 |
| 2094 | 102.361.8–153.6 | 41.325.4–65.9 |
| 2095 | 115.160.6–159.8 | 43.522.9–70.2 |
| 2096 | 104.661.5–158.1 | 41.224.1–66.8 |
| 2097 | 96.659.8–152.6 | 37.723.7–60.9 |
| 2098 | 10959.4–154 | 46.425.1–71.4 |
| 2099 | 107.653.7–164.1 | 42.525.1–64.8 |
| 2100 | 110.666.8–162 | 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
科特迪瓦与南非对比
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军用
- 军费开支科特迪瓦:2025 年为 GDP 的 0.77%南非:2025 年为 GDP 的 0.74%
- 军费开支(美元)科特迪瓦:2025 年为 US$7.21亿南非:2025 年为 US$30亿
- 人均军费开支科特迪瓦:2025 年为 US$24南非:2025 年为 US$49
- 军费占政府支出比例科特迪瓦:2025 年为 3.8%(占政府支出)南非:2025 年为 2.2%(占政府支出)
- 武装部队人员科特迪瓦:2020 年为 27,000 人南非:2020 年为 89,000 人
- 国家实力科特迪瓦: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科特迪瓦:2020 年为 0.25%(占劳动力)南非:2020 年为 0.4%(占劳动力)
- 武器进口科特迪瓦:2025 年为 1500万 TIV南非:2025 年为 3000万 TIV
- 武器出口科特迪瓦:1971 年为 100万 TIV南非:2025 年为 1.15亿 TIV