喀麦隆与加纳对比
喀麦隆与加纳:热带夜
2014 年热带夜:喀麦隆为 238.7 夜,加纳为 356.8 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 118.1 夜,是喀麦隆的 1.49 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,加纳的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年喀麦隆为 324.2 夜,加纳为 364.2 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 喀麦隆 | 加纳 |
|---|---|---|
| 2014 | 238.7 | 356.8 |
| 2013 | 236.7 | 355.8 |
| 2012 | 242.2 | 356.8 |
| 2011 | 237.6 | 355.7 |
| 2010 | 230.4 | 355.9 |
| 2009 | 226.6 | 353.2 |
| 2008 | 223.1 | 353.1 |
| 2007 | 222.1 | 353.8 |
| 2006 | 220.1 | 353.9 |
| 2005 | 216.1 | 352.7 |
| 2004 | 217.6 | 352.4 |
| 2003 | 221 | 353.8 |
| 2002 | 215.5 | 353.2 |
| 2001 | 223 | 354.9 |
| 2000 | 210 | 352.2 |
| 1999 | 200.5 | 350.2 |
| 1998 | 203.5 | 350.6 |
| 1997 | 202 | 350.5 |
| 1996 | 190 | 349.1 |
| 1995 | 187.3 | 348.9 |
| 1994 | 183.1 | 347.9 |
| 1993 | 165.2 | 347.1 |
| 1992 | 156.7 | 344.5 |
| 1991 | 192.6 | 348.4 |
| 1990 | 200.7 | 352.1 |
| 1989 | 187.5 | 347.9 |
| 1988 | 185.8 | 347.2 |
| 1987 | 182.7 | 346.6 |
| 1986 | 188.9 | 348.4 |
| 1985 | 173.2 | 347.2 |
| 1984 | 172.9 | 346.2 |
| 1983 | 165.5 | 344.8 |
| 1982 | 176.3 | 344.8 |
| 1981 | 182.6 | 346.8 |
| 1980 | 173.6 | 344.5 |
| 1979 | 175.8 | 346.4 |
| 1978 | 172.8 | 343.9 |
| 1977 | 175.7 | 345.9 |
| 1976 | 164.5 | 344.5 |
| 1975 | 159.5 | 345.3 |
| 1974 | 166.8 | 343 |
| 1973 | 170.4 | 344 |
| 1972 | 165.2 | 344.4 |
| 1971 | 161.3 | 342.7 |
| 1970 | 164.4 | 344 |
| 1969 | 160 | 342.5 |
| 1968 | 157.8 | 342 |
| 1967 | 147.9 | 342.7 |
| 1966 | 156.5 | 342.1 |
| 1965 | 151.6 | 342 |
| 1964 | 143.1 | 340 |
| 1963 | 145.9 | 342.8 |
| 1962 | 171.8 | 345.9 |
| 1961 | 167.2 | 344.1 |
| 1960 | 176.2 | 345.7 |
| 1959 | 166.5 | 344.6 |
| 1958 | 169.2 | 344.6 |
| 1957 | 168.2 | 344.1 |
| 1956 | 160 | 343.5 |
| 1955 | 163.7 | 342.5 |
| 1954 | 167.6 | 346.8 |
| 1953 | 168.2 | 344.5 |
| 1952 | 165.7 | 341.9 |
| 1951 | 172.8 | 343.8 |
| 1950 | 162.8 | 340.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 喀麦隆 | 加纳 |
|---|---|---|
| 2015 | 242.2196.9–270.8 | 356341.5–361.7 |
| 2016 | 237.7192.1–259.9 | 356.5341.4–361.5 |
| 2017 | 245.8205.7–271.3 | 355.2341.3–361.6 |
| 2018 | 245.7208–270.5 | 355.8345.7–362.1 |
| 2019 | 243.7200.2–275.6 | 353.9343.6–362.3 |
| 2020 | 246.4210.4–278 | 356341.7–362.9 |
| 2021 | 255.2220.2–279.6 | 356.9345.4–362.7 |
| 2022 | 255.8221–285.7 | 358.2342–362.6 |
| 2023 | 254.5221.7–284.1 | 356.7344–361.7 |
| 2024 | 263225.8–286.8 | 358.6347.7–363.4 |
| 2025 | 257.3222.7–293.9 | 357.1347.2–361.9 |
| 2026 | 260.4211.9–292 | 357.2343.5–362.7 |
| 2027 | 258.5223.8–291.5 | 357.5344.3–362.4 |
| 2028 | 266.9235.5–294.7 | 359.5348.6–363.6 |
| 2029 | 269.9242.3–293.5 | 358.8349–363.1 |
| 2030 | 266.6229–293.5 | 359.6350.6–363.2 |
| 2031 | 273.2229.9–298.5 | 360.8351–364 |
| 2032 | 269.8240.6–296.2 | 359.7346.4–363.9 |
| 2033 | 271.8235.6–303.4 | 360.2349–364.1 |
| 2034 | 268.1239.2–299.1 | 359.4350.8–363.1 |
| 2035 | 277.5241.5–302.7 | 360.5350.8–364 |
| 2036 | 275.7235.1–301.3 | 360.9350.6–364.9 |
| 2037 | 283.5252.3–305.9 | 361350.5–364 |
| 2038 | 285.8258–307.9 | 361.4354.4–363.9 |
| 2039 | 280.9250.4–305.8 | 361.3352.3–364.5 |
| 2040 | 279.5252.1–310.6 | 361.5352.2–365.2 |
| 2041 | 284.5254.6–309.9 | 361.3351.7–364.3 |
| 2042 | 284.8253.6–313.2 | 360.6352.3–364.3 |
| 2043 | 281.2251.4–309.8 | 360.6351.8–364 |
| 2044 | 283.8244.4–312.3 | 361.6353.6–364.8 |
| 2045 | 286.8253.7–311.4 | 361.1353.2–364.4 |
| 2046 | 296.1260.6–318.1 | 361.9353.1–364.1 |
| 2047 | 294.3260.7–316.6 | 362.3350.3–364.5 |
| 2048 | 297.3265.6–318.1 | 362.1354.7–365.3 |
| 2049 | 298.3267.8–318.1 | 362.6354–364.4 |
| 2050 | 296.9267.9–322.7 | 362.2355.3–364.4 |
| 2051 | 297.8266.7–319.9 | 362.3355.7–364.6 |
| 2052 | 298.7270.1–322.3 | 362.1354.2–365 |
| 2053 | 297.7261.3–321.7 | 362.4354.1–364.5 |
| 2054 | 301.2268.2–324.6 | 362.9354.8–364.6 |
| 2055 | 301.3276.5–324.3 | 362.5355.1–364.5 |
| 2056 | 302.1270.4–329.2 | 363.3355.6–365.7 |
| 2057 | 305.4277.7–327.4 | 363.2355.9–364.8 |
| 2058 | 302.6272.1–325.2 | 363356.3–364.9 |
| 2059 | 306.2279.6–330.1 | 362.9356.2–364.8 |
| 2060 | 306.1276.1–331.1 | 362.9354.1–365.7 |
| 2061 | 304.4267.2–329.7 | 363.2354–364.9 |
| 2062 | 307.6266.2–332.2 | 363.1355–364.9 |
| 2063 | 309.1272.5–328.8 | 363.2355.5–364.9 |
| 2064 | 308.5278.7–331 | 363.3356.6–365.6 |
| 2065 | 311.3284.1–329.6 | 363.7357.8–364.9 |
| 2066 | 311.9284–332.7 | 362.7356.9–364.8 |
| 2067 | 310.1271.7–335.6 | 363.6354.1–364.9 |
| 2068 | 312.9278.7–335 | 364.1356.3–365.8 |
| 2069 | 310.4278.4–333.4 | 362.8356.3–364.9 |
| 2070 | 309.8281.2–334.9 | 363.3356.2–364.9 |
| 2071 | 316.4282.3–336 | 363.5355.3–364.9 |
| 2072 | 315.4289.2–335.3 | 364.1355.6–365.8 |
| 2073 | 314282.6–339.5 | 363.6355.1–364.8 |
| 2074 | 311.7281.9–336.8 | 363.4355.4–364.8 |
| 2075 | 314.8285.3–335.3 | 363.4357–364.9 |
| 2076 | 315.2284.7–338.4 | 363.8358.4–365.8 |
| 2077 | 318.2289.7–341.4 | 363.8357.8–365 |
| 2078 | 315.8286.4–338.5 | 363.9356.6–364.9 |
| 2079 | 317.7287.8–337.5 | 364.2358–365 |
| 2080 | 321.5285.9–341.7 | 364.3357.8–366 |
| 2081 | 318.7290–339 | 363.8357.1–365 |
| 2082 | 316.2289–337.7 | 363.5357.1–364.9 |
| 2083 | 317.7288.2–341.6 | 364.1358.3–365 |
| 2084 | 318.5284.5–342.1 | 364358.5–365.9 |
| 2085 | 323.4294–342.7 | 364.1358.3–365 |
| 2086 | 319.5292.3–343 | 364.1357.8–365 |
| 2087 | 318292.7–342.5 | 364.1357.9–365 |
| 2088 | 320.4288.1–342 | 364.2356.4–365.9 |
| 2089 | 320.1289.6–340.7 | 363.9357.6–365 |
| 2090 | 322.4292.8–342.6 | 364.2357.6–365 |
| 2091 | 322.6289.9–345 | 363.9357.6–364.9 |
| 2092 | 324.9291.6–343.6 | 364.4356.6–366 |
| 2093 | 322.3299.7–342.6 | 364.4358.2–365 |
| 2094 | 324299.3–343.4 | 364.1357.9–365 |
| 2095 | 326.4300.2–346.4 | 364358.2–365 |
| 2096 | 322.1294.4–346.4 | 363.9358–366 |
| 2097 | 320.9287.4–342.5 | 363.9356.3–364.9 |
| 2098 | 323.1293.8–344.4 | 363.7357.8–364.9 |
| 2099 | 322.6295.7–344.2 | 363.9358.6–365 |
| 2100 | 324.2293.6–346.6 | 364.2357.6–365 |
分别查看各国
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
喀麦隆与加纳对比
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%加纳:2025 年为 GDP 的 0.48%
- 军费开支(美元)喀麦隆:2025 年为 US$5.8亿加纳:2025 年为 US$3.85亿
- 人均军费开支喀麦隆:2025 年为 US$21加纳:2025 年为 US$15
- 军费占政府支出比例喀麦隆:2025 年为 6.5%(占政府支出)加纳:2025 年为 2.4%(占政府支出)
- 武装部队人员喀麦隆:2020 年为 34,000 人加纳:2020 年为 16,000 人
- 国家实力喀麦隆:2022 年为 0.16%(占全球实力)加纳:2022 年为 0.17%(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)加纳:2020 年为 0.13%(占劳动力)
- 武器进口喀麦隆:2023 年为 200万 TIV加纳:2025 年为 500万 TIV