喀麦隆与科特迪瓦对比
喀麦隆与科特迪瓦:热带夜
2014 年热带夜:喀麦隆为 238.7 夜,科特迪瓦为 341.6 夜(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 102.9 夜,是喀麦隆的 1.43 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,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 年喀麦隆为 324.2 夜,科特迪瓦为 359.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 喀麦隆 | 科特迪瓦 |
|---|---|---|
| 2014 | 238.7 | 341.6 |
| 2013 | 236.7 | 339.6 |
| 2012 | 242.2 | 342.3 |
| 2011 | 237.6 | 340.1 |
| 2010 | 230.4 | 338.6 |
| 2009 | 226.6 | 337.3 |
| 2008 | 223.1 | 337.1 |
| 2007 | 222.1 | 336.7 |
| 2006 | 220.1 | 336.6 |
| 2005 | 216.1 | 337.6 |
| 2004 | 217.6 | 334.8 |
| 2003 | 221 | 337.3 |
| 2002 | 215.5 | 336.1 |
| 2001 | 223 | 339.5 |
| 2000 | 210 | 334.6 |
| 1999 | 200.5 | 331.3 |
| 1998 | 203.5 | 332.7 |
| 1997 | 202 | 331.8 |
| 1996 | 190 | 329.9 |
| 1995 | 187.3 | 330.5 |
| 1994 | 183.1 | 327.9 |
| 1993 | 165.2 | 327.2 |
| 1992 | 156.7 | 322 |
| 1991 | 192.6 | 331.7 |
| 1990 | 200.7 | 334 |
| 1989 | 187.5 | 328.9 |
| 1988 | 185.8 | 327.5 |
| 1987 | 182.7 | 327.9 |
| 1986 | 188.9 | 329.2 |
| 1985 | 173.2 | 324.9 |
| 1984 | 172.9 | 325.8 |
| 1983 | 165.5 | 325.4 |
| 1982 | 176.3 | 324 |
| 1981 | 182.6 | 327 |
| 1980 | 173.6 | 323.1 |
| 1979 | 175.8 | 327.1 |
| 1978 | 172.8 | 324.2 |
| 1977 | 175.7 | 325.5 |
| 1976 | 164.5 | 321.7 |
| 1975 | 159.5 | 322.8 |
| 1974 | 166.8 | 322 |
| 1973 | 170.4 | 323.8 |
| 1972 | 165.2 | 322.4 |
| 1971 | 161.3 | 322 |
| 1970 | 164.4 | 322.2 |
| 1969 | 160 | 320.9 |
| 1968 | 157.8 | 319.8 |
| 1967 | 147.9 | 317.1 |
| 1966 | 156.5 | 318.4 |
| 1965 | 151.6 | 320 |
| 1964 | 143.1 | 314.7 |
| 1963 | 145.9 | 317.4 |
| 1962 | 171.8 | 324.1 |
| 1961 | 167.2 | 323.1 |
| 1960 | 176.2 | 325.5 |
| 1959 | 166.5 | 322.1 |
| 1958 | 169.2 | 322.4 |
| 1957 | 168.2 | 321.2 |
| 1956 | 160 | 321.2 |
| 1955 | 163.7 | 320.1 |
| 1954 | 167.6 | 325.6 |
| 1953 | 168.2 | 322.9 |
| 1952 | 165.7 | 319.4 |
| 1951 | 172.8 | 323.9 |
| 1950 | 162.8 | 317.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 喀麦隆 | 科特迪瓦 |
|---|---|---|
| 2015 | 242.2196.9–270.8 | 339.1321.9–350.7 |
| 2016 | 237.7192.1–259.9 | 339.9324.6–349.1 |
| 2017 | 245.8205.7–271.3 | 340.5322.4–349.6 |
| 2018 | 245.7208–270.5 | 341.6327.4–351.6 |
| 2019 | 243.7200.2–275.6 | 338.5323.6–350.3 |
| 2020 | 246.4210.4–278 | 340.6324.2–352.9 |
| 2021 | 255.2220.2–279.6 | 340.8325.2–353.8 |
| 2022 | 255.8221–285.7 | 344327.2–353.4 |
| 2023 | 254.5221.7–284.1 | 341.2327.2–352.6 |
| 2024 | 263225.8–286.8 | 344.9331–353.9 |
| 2025 | 257.3222.7–293.9 | 342.4327.8–352.1 |
| 2026 | 260.4211.9–292 | 342.3326.6–353.3 |
| 2027 | 258.5223.8–291.5 | 343.9325.6–352.9 |
| 2028 | 266.9235.5–294.7 | 347.4333.6–355.5 |
| 2029 | 269.9242.3–293.5 | 347.2332.4–355.2 |
| 2030 | 266.6229–293.5 | 347.2332.1–353.8 |
| 2031 | 273.2229.9–298.5 | 349.3333.1–357.2 |
| 2032 | 269.8240.6–296.2 | 347.8331.5–356.9 |
| 2033 | 271.8235.6–303.4 | 348332.6–360.4 |
| 2034 | 268.1239.2–299.1 | 346.6331.7–355.8 |
| 2035 | 277.5241.5–302.7 | 348.9333.7–357.8 |
| 2036 | 275.7235.1–301.3 | 350.5332.7–359.1 |
| 2037 | 283.5252.3–305.9 | 349.8334.6–357.5 |
| 2038 | 285.8258–307.9 | 351.3338.9–358.2 |
| 2039 | 280.9250.4–305.8 | 350.6333.1–358.9 |
| 2040 | 279.5252.1–310.6 | 351.1336.2–359.6 |
| 2041 | 284.5254.6–309.9 | 350.8335.9–358 |
| 2042 | 284.8253.6–313.2 | 349.8337.3–358.6 |
| 2043 | 281.2251.4–309.8 | 348.4336.1–357.8 |
| 2044 | 283.8244.4–312.3 | 350.3337.5–359.2 |
| 2045 | 286.8253.7–311.4 | 351339.5–359.5 |
| 2046 | 296.1260.6–318.1 | 351.7337.6–358.6 |
| 2047 | 294.3260.7–316.6 | 352335.4–360.1 |
| 2048 | 297.3265.6–318.1 | 351.6339.9–360.3 |
| 2049 | 298.3267.8–318.1 | 353339.6–360.9 |
| 2050 | 296.9267.9–322.7 | 352340.6–359.3 |
| 2051 | 297.8266.7–319.9 | 353340.5–360.5 |
| 2052 | 298.7270.1–322.3 | 352339–359.8 |
| 2053 | 297.7261.3–321.7 | 352.7339–360.5 |
| 2054 | 301.2268.2–324.6 | 354.7339.5–360.9 |
| 2055 | 301.3276.5–324.3 | 353.4343.4–360.8 |
| 2056 | 302.1270.4–329.2 | 355.9339.6–362.8 |
| 2057 | 305.4277.7–327.4 | 356.3343–362 |
| 2058 | 302.6272.1–325.2 | 354.3344.5–361.3 |
| 2059 | 306.2279.6–330.1 | 355343.4–361.7 |
| 2060 | 306.1276.1–331.1 | 354.6343.3–362.1 |
| 2061 | 304.4267.2–329.7 | 354.6341.3–362.5 |
| 2062 | 307.6266.2–332.2 | 354.4340.8–361.3 |
| 2063 | 309.1272.5–328.8 | 355.4345.2–362.1 |
| 2064 | 308.5278.7–331 | 356.1344.6–362.9 |
| 2065 | 311.3284.1–329.6 | 355.5346.4–362.4 |
| 2066 | 311.9284–332.7 | 355.2344.5–361.2 |
| 2067 | 310.1271.7–335.6 | 355.3341.4–361.8 |
| 2068 | 312.9278.7–335 | 357.3346.3–363.6 |
| 2069 | 310.4278.4–333.4 | 355344.3–362.7 |
| 2070 | 309.8281.2–334.9 | 355.6344.2–362.3 |
| 2071 | 316.4282.3–336 | 356.8344.7–362.9 |
| 2072 | 315.4289.2–335.3 | 357.7346.2–363.1 |
| 2073 | 314282.6–339.5 | 356.6345.2–362.2 |
| 2074 | 311.7281.9–336.8 | 354.4342.1–362.7 |
| 2075 | 314.8285.3–335.3 | 356343.7–362.5 |
| 2076 | 315.2284.7–338.4 | 357.4348.5–363.3 |
| 2077 | 318.2289.7–341.4 | 358.1347.7–362.8 |
| 2078 | 315.8286.4–338.5 | 357.3346.8–363.2 |
| 2079 | 317.7287.8–337.5 | 357.4346.6–363.6 |
| 2080 | 321.5285.9–341.7 | 359.1349.4–364.7 |
| 2081 | 318.7290–339 | 358.8347.5–363.5 |
| 2082 | 316.2289–337.7 | 357346.9–363.4 |
| 2083 | 317.7288.2–341.6 | 357.8349.5–363.1 |
| 2084 | 318.5284.5–342.1 | 358.8349.3–363.4 |
| 2085 | 323.4294–342.7 | 359.7350.1–364 |
| 2086 | 319.5292.3–343 | 359347.7–363.8 |
| 2087 | 318292.7–342.5 | 358.8348.8–364.1 |
| 2088 | 320.4288.1–342 | 358347.4–363.7 |
| 2089 | 320.1289.6–340.7 | 357.4347.3–363.5 |
| 2090 | 322.4292.8–342.6 | 358.8346.1–363.9 |
| 2091 | 322.6289.9–345 | 358.3349.1–363.3 |
| 2092 | 324.9291.6–343.6 | 359.2347.5–364 |
| 2093 | 322.3299.7–342.6 | 359349.8–363.8 |
| 2094 | 324299.3–343.4 | 359.3350.1–363.1 |
| 2095 | 326.4300.2–346.4 | 358.1349.7–364 |
| 2096 | 322.1294.4–346.4 | 358.8348.3–365.1 |
| 2097 | 320.9287.4–342.5 | 358.9342.5–362.5 |
| 2098 | 323.1293.8–344.4 | 357.8348.1–363.6 |
| 2099 | 322.6295.7–344.2 | 359.2349.5–363.2 |
| 2100 | 324.2293.6–346.6 | 359.6348.3–363.8 |
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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
喀麦隆与科特迪瓦对比
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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%科特迪瓦:2025 年为 GDP 的 0.77%
- 军费开支(美元)喀麦隆:2025 年为 US$5.8亿科特迪瓦:2025 年为 US$7.21亿
- 人均军费开支喀麦隆:2025 年为 US$21科特迪瓦:2025 年为 US$24
- 军费占政府支出比例喀麦隆:2025 年为 6.5%(占政府支出)科特迪瓦:2025 年为 3.8%(占政府支出)
- 武装部队人员喀麦隆:2020 年为 34,000 人科特迪瓦:2020 年为 27,000 人
- 国家实力喀麦隆:2022 年为 0.16%(占全球实力)科特迪瓦:2022 年为 0.16%(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)科特迪瓦:2020 年为 0.25%(占劳动力)
- 武器进口喀麦隆:2023 年为 200万 TIV科特迪瓦:2025 年为 1500万 TIV