喀麦隆与马里对比
喀麦隆与马里:热带夜
2014 年热带夜:喀麦隆为 238.7 夜,马里为 250.2 夜(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 11.5 夜,是喀麦隆的 1.05 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,马里的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年喀麦隆为 324.2 夜,马里为 283.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 喀麦隆 | 马里 |
|---|---|---|
| 2014 | 238.7 | 250.2 |
| 2013 | 236.7 | 247.3 |
| 2012 | 242.2 | 253.1 |
| 2011 | 237.6 | 251.9 |
| 2010 | 230.4 | 250.4 |
| 2009 | 226.6 | 248 |
| 2008 | 223.1 | 247.8 |
| 2007 | 222.1 | 248.1 |
| 2006 | 220.1 | 245.5 |
| 2005 | 216.1 | 244.3 |
| 2004 | 217.6 | 243.9 |
| 2003 | 221 | 247.1 |
| 2002 | 215.5 | 245.8 |
| 2001 | 223 | 245.6 |
| 2000 | 210 | 243.2 |
| 1999 | 200.5 | 242.4 |
| 1998 | 203.5 | 240.6 |
| 1997 | 202 | 240.7 |
| 1996 | 190 | 236.4 |
| 1995 | 187.3 | 238 |
| 1994 | 183.1 | 236.2 |
| 1993 | 165.2 | 235.1 |
| 1992 | 156.7 | 232 |
| 1991 | 192.6 | 238.7 |
| 1990 | 200.7 | 241 |
| 1989 | 187.5 | 236.3 |
| 1988 | 185.8 | 234.7 |
| 1987 | 182.7 | 236.1 |
| 1986 | 188.9 | 237.1 |
| 1985 | 173.2 | 235.3 |
| 1984 | 172.9 | 233 |
| 1983 | 165.5 | 231.2 |
| 1982 | 176.3 | 234.9 |
| 1981 | 182.6 | 233.9 |
| 1980 | 173.6 | 231.5 |
| 1979 | 175.8 | 233.8 |
| 1978 | 172.8 | 234.8 |
| 1977 | 175.7 | 233.6 |
| 1976 | 164.5 | 231.7 |
| 1975 | 159.5 | 232.4 |
| 1974 | 166.8 | 229.7 |
| 1973 | 170.4 | 230.3 |
| 1972 | 165.2 | 230.7 |
| 1971 | 161.3 | 229.5 |
| 1970 | 164.4 | 229.9 |
| 1969 | 160 | 227.3 |
| 1968 | 157.8 | 230.5 |
| 1967 | 147.9 | 229 |
| 1966 | 156.5 | 228.1 |
| 1965 | 151.6 | 230.2 |
| 1964 | 143.1 | 228.9 |
| 1963 | 145.9 | 228.2 |
| 1962 | 171.8 | 231.7 |
| 1961 | 167.2 | 231.6 |
| 1960 | 176.2 | 235.1 |
| 1959 | 166.5 | 231.8 |
| 1958 | 169.2 | 231.8 |
| 1957 | 168.2 | 233.3 |
| 1956 | 160 | 230.7 |
| 1955 | 163.7 | 230.6 |
| 1954 | 167.6 | 232 |
| 1953 | 168.2 | 228.3 |
| 1952 | 165.7 | 229.2 |
| 1951 | 172.8 | 231.4 |
| 1950 | 162.8 | 228.6 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 喀麦隆 | 马里 |
|---|---|---|
| 2015 | 242.2196.9–270.8 | 247.9231.5–264.7 |
| 2016 | 237.7192.1–259.9 | 248231.3–262.6 |
| 2017 | 245.8205.7–271.3 | 252.7233.6–268.2 |
| 2018 | 245.7208–270.5 | 254.2236.4–269 |
| 2019 | 243.7200.2–275.6 | 251.6233.5–272.3 |
| 2020 | 246.4210.4–278 | 251.3231.2–270.7 |
| 2021 | 255.2220.2–279.6 | 254.8238.5–270 |
| 2022 | 255.8221–285.7 | 257237.8–275.3 |
| 2023 | 254.5221.7–284.1 | 254.2239.6–269.2 |
| 2024 | 263225.8–286.8 | 259.3242.3–276.8 |
| 2025 | 257.3222.7–293.9 | 256.2239.2–272.3 |
| 2026 | 260.4211.9–292 | 256.8237.2–277.8 |
| 2027 | 258.5223.8–291.5 | 258.5240.3–273.1 |
| 2028 | 266.9235.5–294.7 | 259.7243.6–273.9 |
| 2029 | 269.9242.3–293.5 | 260.8240.3–275.3 |
| 2030 | 266.6229–293.5 | 258.1237.5–272.6 |
| 2031 | 273.2229.9–298.5 | 262.2243.4–280.6 |
| 2032 | 269.8240.6–296.2 | 260.5242.1–278.2 |
| 2033 | 271.8235.6–303.4 | 262.1241.7–280.3 |
| 2034 | 268.1239.2–299.1 | 260.7242–275.3 |
| 2035 | 277.5241.5–302.7 | 261.5244.8–283.6 |
| 2036 | 275.7235.1–301.3 | 262.5244.6–281.1 |
| 2037 | 283.5252.3–305.9 | 264.5245.2–279.6 |
| 2038 | 285.8258–307.9 | 266246.7–283.2 |
| 2039 | 280.9250.4–305.8 | 262.3245–281.6 |
| 2040 | 279.5252.1–310.6 | 263.6247.5–279.6 |
| 2041 | 284.5254.6–309.9 | 264.6250.8–283.1 |
| 2042 | 284.8253.6–313.2 | 265.7245.9–283.5 |
| 2043 | 281.2251.4–309.8 | 264.8246.9–278.8 |
| 2044 | 283.8244.4–312.3 | 269.3247.4–284.7 |
| 2045 | 286.8253.7–311.4 | 265.6248.9–283.7 |
| 2046 | 296.1260.6–318.1 | 269.8247.5–286.4 |
| 2047 | 294.3260.7–316.6 | 271.9251.2–290.3 |
| 2048 | 297.3265.6–318.1 | 270.4254.4–288.2 |
| 2049 | 298.3267.8–318.1 | 272252.1–288.2 |
| 2050 | 296.9267.9–322.7 | 269.5250.6–286.4 |
| 2051 | 297.8266.7–319.9 | 268.8251.7–286.9 |
| 2052 | 298.7270.1–322.3 | 270.1252.7–292.1 |
| 2053 | 297.7261.3–321.7 | 269.3249.2–288.8 |
| 2054 | 301.2268.2–324.6 | 270.3251.7–290.6 |
| 2055 | 301.3276.5–324.3 | 270.9252.7–288.1 |
| 2056 | 302.1270.4–329.2 | 273248.6–291.4 |
| 2057 | 305.4277.7–327.4 | 275.5255.2–295 |
| 2058 | 302.6272.1–325.2 | 271252.7–293.2 |
| 2059 | 306.2279.6–330.1 | 274.5259.3–299.6 |
| 2060 | 306.1276.1–331.1 | 273.5258–293.7 |
| 2061 | 304.4267.2–329.7 | 275.4257–298 |
| 2062 | 307.6266.2–332.2 | 270.8251.7–291.8 |
| 2063 | 309.1272.5–328.8 | 275.9256.6–292.2 |
| 2064 | 308.5278.7–331 | 276.4256.6–298.4 |
| 2065 | 311.3284.1–329.6 | 275.3256–295.1 |
| 2066 | 311.9284–332.7 | 276.9260–296.5 |
| 2067 | 310.1271.7–335.6 | 272.6255.4–293.3 |
| 2068 | 312.9278.7–335 | 277.5258.1–296.5 |
| 2069 | 310.4278.4–333.4 | 276.1257.7–293.3 |
| 2070 | 309.8281.2–334.9 | 277.2256.6–296.6 |
| 2071 | 316.4282.3–336 | 277.2258.4–295.6 |
| 2072 | 315.4289.2–335.3 | 281.9263.8–298.9 |
| 2073 | 314282.6–339.5 | 276.8257.9–296.8 |
| 2074 | 311.7281.9–336.8 | 277.7258.7–295.9 |
| 2075 | 314.8285.3–335.3 | 278.5260.1–298.5 |
| 2076 | 315.2284.7–338.4 | 278.1261.1–294.2 |
| 2077 | 318.2289.7–341.4 | 283.8263.1–302.3 |
| 2078 | 315.8286.4–338.5 | 283.8263.5–299.4 |
| 2079 | 317.7287.8–337.5 | 278.9259.2–300.6 |
| 2080 | 321.5285.9–341.7 | 281.2262.1–299.4 |
| 2081 | 318.7290–339 | 279.1259.3–301.8 |
| 2082 | 316.2289–337.7 | 280.2260.2–298.4 |
| 2083 | 317.7288.2–341.6 | 280.8260.8–302.3 |
| 2084 | 318.5284.5–342.1 | 280.4263.8–301 |
| 2085 | 323.4294–342.7 | 284.6259.2–303 |
| 2086 | 319.5292.3–343 | 281.9262.8–302.4 |
| 2087 | 318292.7–342.5 | 279.7258.8–302.8 |
| 2088 | 320.4288.1–342 | 282.3260.7–303.3 |
| 2089 | 320.1289.6–340.7 | 283.4262.4–300.5 |
| 2090 | 322.4292.8–342.6 | 283.9259.8–301.9 |
| 2091 | 322.6289.9–345 | 283.1260.4–304.8 |
| 2092 | 324.9291.6–343.6 | 281.6259.7–303.1 |
| 2093 | 322.3299.7–342.6 | 284.8265.8–305.4 |
| 2094 | 324299.3–343.4 | 284.6262.8–305.6 |
| 2095 | 326.4300.2–346.4 | 283.6262–304.6 |
| 2096 | 322.1294.4–346.4 | 284.9263.3–306.3 |
| 2097 | 320.9287.4–342.5 | 280261–300.5 |
| 2098 | 323.1293.8–344.4 | 282.5262–302.1 |
| 2099 | 322.6295.7–344.2 | 285.3266.2–305.4 |
| 2100 | 324.2293.6–346.6 | 283.6262.8–304.1 |
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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
喀麦隆与马里对比
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冲突
军用
- 军费开支喀麦隆:2025 年为 GDP 的 1.06%马里:2025 年为 GDP 的 3.87%
- 军费开支(美元)喀麦隆:2025 年为 US$5.8亿马里:2025 年为 US$8.83亿
- 人均军费开支喀麦隆:2025 年为 US$21马里:2025 年为 US$38
- 军费占政府支出比例喀麦隆:2025 年为 6.5%(占政府支出)马里:2025 年为 14.8%(占政府支出)
- 武装部队人员喀麦隆:2020 年为 34,000 人马里:2020 年为 41,000 人
- 国家实力喀麦隆:2022 年为 0.16%(占全球实力)马里:2022 年为 0.1%(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)马里:2020 年为 0.54%(占劳动力)
- 武器进口喀麦隆:2023 年为 200万 TIV马里:2025 年为 6400万 TIV