喀麦隆与尼日尔对比
喀麦隆与尼日尔:热带夜
2014 年热带夜:喀麦隆为 238.7 夜,尼日尔为 221.6 夜(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 17.1 夜,是尼日尔的 1.08 倍。
每年夜数 · CMIP6
数据解读
- 自 2001 年超过尼日尔以来,喀麦隆的数值一直更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年喀麦隆为 324.2 夜,尼日尔为 251.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 喀麦隆 | 尼日尔 |
|---|---|---|
| 2014 | 238.7 | 221.6 |
| 2013 | 236.7 | 216.1 |
| 2012 | 242.2 | 220.8 |
| 2011 | 237.6 | 220.1 |
| 2010 | 230.4 | 219.1 |
| 2009 | 226.6 | 217.2 |
| 2008 | 223.1 | 216.8 |
| 2007 | 222.1 | 216.9 |
| 2006 | 220.1 | 214.3 |
| 2005 | 216.1 | 213.6 |
| 2004 | 217.6 | 213.6 |
| 2003 | 221 | 215.5 |
| 2002 | 215.5 | 214.6 |
| 2001 | 223 | 213.4 |
| 2000 | 210 | 211.2 |
| 1999 | 200.5 | 210.4 |
| 1998 | 203.5 | 207.7 |
| 1997 | 202 | 211.5 |
| 1996 | 190 | 208.6 |
| 1995 | 187.3 | 208.3 |
| 1994 | 183.1 | 207.8 |
| 1993 | 165.2 | 202.6 |
| 1992 | 156.7 | 203.4 |
| 1991 | 192.6 | 209.4 |
| 1990 | 200.7 | 208.1 |
| 1989 | 187.5 | 206 |
| 1988 | 185.8 | 203 |
| 1987 | 182.7 | 204.9 |
| 1986 | 188.9 | 206.8 |
| 1985 | 173.2 | 203.9 |
| 1984 | 172.9 | 201.8 |
| 1983 | 165.5 | 200.5 |
| 1982 | 176.3 | 201.9 |
| 1981 | 182.6 | 204.3 |
| 1980 | 173.6 | 200.6 |
| 1979 | 175.8 | 200.5 |
| 1978 | 172.8 | 202 |
| 1977 | 175.7 | 203.8 |
| 1976 | 164.5 | 201.7 |
| 1975 | 159.5 | 199 |
| 1974 | 166.8 | 200.6 |
| 1973 | 170.4 | 202.6 |
| 1972 | 165.2 | 200.7 |
| 1971 | 161.3 | 200.8 |
| 1970 | 164.4 | 199.8 |
| 1969 | 160 | 196.1 |
| 1968 | 157.8 | 200.3 |
| 1967 | 147.9 | 196.6 |
| 1966 | 156.5 | 198.2 |
| 1965 | 151.6 | 199 |
| 1964 | 143.1 | 199.2 |
| 1963 | 145.9 | 196.7 |
| 1962 | 171.8 | 201.1 |
| 1961 | 167.2 | 198.2 |
| 1960 | 176.2 | 203.2 |
| 1959 | 166.5 | 201.6 |
| 1958 | 169.2 | 199.2 |
| 1957 | 168.2 | 201.1 |
| 1956 | 160 | 199.6 |
| 1955 | 163.7 | 199.7 |
| 1954 | 167.6 | 201.1 |
| 1953 | 168.2 | 196.5 |
| 1952 | 165.7 | 197.9 |
| 1951 | 172.8 | 199.8 |
| 1950 | 162.8 | 200.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 喀麦隆 | 尼日尔 |
|---|---|---|
| 2015 | 242.2196.9–270.8 | 218.8202.8–235.8 |
| 2016 | 237.7192.1–259.9 | 217.7201.8–230.6 |
| 2017 | 245.8205.7–271.3 | 222.4205.2–237.4 |
| 2018 | 245.7208–270.5 | 220.5206.3–238.8 |
| 2019 | 243.7200.2–275.6 | 219.1201.8–238.1 |
| 2020 | 246.4210.4–278 | 220.9206.9–234.7 |
| 2021 | 255.2220.2–279.6 | 222.8208.2–240.2 |
| 2022 | 255.8221–285.7 | 226.3209.7–239.2 |
| 2023 | 254.5221.7–284.1 | 223.2206.6–238.4 |
| 2024 | 263225.8–286.8 | 228.4214.3–242.9 |
| 2025 | 257.3222.7–293.9 | 226.7211.2–241 |
| 2026 | 260.4211.9–292 | 226.3210–243.1 |
| 2027 | 258.5223.8–291.5 | 228.5209.9–241.1 |
| 2028 | 266.9235.5–294.7 | 227.1211.9–240.2 |
| 2029 | 269.9242.3–293.5 | 230.4213.3–247.1 |
| 2030 | 266.6229–293.5 | 226.4211.6–242.2 |
| 2031 | 273.2229.9–298.5 | 230.1210.8–247.1 |
| 2032 | 269.8240.6–296.2 | 228.7212.3–241 |
| 2033 | 271.8235.6–303.4 | 229.9214.9–245.4 |
| 2034 | 268.1239.2–299.1 | 229.5212.1–244.9 |
| 2035 | 277.5241.5–302.7 | 232.3217.5–248 |
| 2036 | 275.7235.1–301.3 | 230.2213.7–244.6 |
| 2037 | 283.5252.3–305.9 | 233.2215.1–246.5 |
| 2038 | 285.8258–307.9 | 234.3218.2–249.7 |
| 2039 | 280.9250.4–305.8 | 231214.2–247.1 |
| 2040 | 279.5252.1–310.6 | 230.8214.8–247.5 |
| 2041 | 284.5254.6–309.9 | 232.6218.6–252.9 |
| 2042 | 284.8253.6–313.2 | 233.8216.2–250.5 |
| 2043 | 281.2251.4–309.8 | 232.5217.8–245.8 |
| 2044 | 283.8244.4–312.3 | 233.8218.2–250.1 |
| 2045 | 286.8253.7–311.4 | 233.6218.1–249.7 |
| 2046 | 296.1260.6–318.1 | 234.3217–250.2 |
| 2047 | 294.3260.7–316.6 | 238.4224.3–253.1 |
| 2048 | 297.3265.6–318.1 | 238221.4–254 |
| 2049 | 298.3267.8–318.1 | 237.7217.4–253 |
| 2050 | 296.9267.9–322.7 | 238.2220.7–254.5 |
| 2051 | 297.8266.7–319.9 | 236.3220.6–254.7 |
| 2052 | 298.7270.1–322.3 | 239.5224.3–255.8 |
| 2053 | 297.7261.3–321.7 | 236.3223.9–255.6 |
| 2054 | 301.2268.2–324.6 | 239.4220.2–257.9 |
| 2055 | 301.3276.5–324.3 | 238.6223.7–254.7 |
| 2056 | 302.1270.4–329.2 | 239214.7–260.3 |
| 2057 | 305.4277.7–327.4 | 240.4223–256.3 |
| 2058 | 302.6272.1–325.2 | 238.2220.2–255.7 |
| 2059 | 306.2279.6–330.1 | 243.9224.6–262.7 |
| 2060 | 306.1276.1–331.1 | 239.8222.6–260 |
| 2061 | 304.4267.2–329.7 | 242.5224.9–258.5 |
| 2062 | 307.6266.2–332.2 | 241.6222.4–259.8 |
| 2063 | 309.1272.5–328.8 | 241.3220.9–255.2 |
| 2064 | 308.5278.7–331 | 244.4225.9–259.5 |
| 2065 | 311.3284.1–329.6 | 242.8226.5–262.4 |
| 2066 | 311.9284–332.7 | 245.6227–263.5 |
| 2067 | 310.1271.7–335.6 | 240.7224.9–262 |
| 2068 | 312.9278.7–335 | 244224.3–265.4 |
| 2069 | 310.4278.4–333.4 | 243.9225.5–261.6 |
| 2070 | 309.8281.2–334.9 | 243.1225.6–261.3 |
| 2071 | 316.4282.3–336 | 246.1230.3–264 |
| 2072 | 315.4289.2–335.3 | 247.9229.9–263.7 |
| 2073 | 314282.6–339.5 | 243.4225.4–262.8 |
| 2074 | 311.7281.9–336.8 | 243.2224.4–264.6 |
| 2075 | 314.8285.3–335.3 | 244.3230.2–263.3 |
| 2076 | 315.2284.7–338.4 | 246.5228.5–266.6 |
| 2077 | 318.2289.7–341.4 | 250.1232.3–267.4 |
| 2078 | 315.8286.4–338.5 | 249.2230.8–264.5 |
| 2079 | 317.7287.8–337.5 | 244.4228.7–263.8 |
| 2080 | 321.5285.9–341.7 | 248.8230.4–267 |
| 2081 | 318.7290–339 | 247227.8–268.1 |
| 2082 | 316.2289–337.7 | 247230.6–264.4 |
| 2083 | 317.7288.2–341.6 | 247.3230.7–267.5 |
| 2084 | 318.5284.5–342.1 | 247.7229.4–265.2 |
| 2085 | 323.4294–342.7 | 248.9227–264.2 |
| 2086 | 319.5292.3–343 | 250.4230.9–269.5 |
| 2087 | 318292.7–342.5 | 245.8226.2–266.9 |
| 2088 | 320.4288.1–342 | 248.3226.7–271.1 |
| 2089 | 320.1289.6–340.7 | 251.9232.5–269.5 |
| 2090 | 322.4292.8–342.6 | 249.7227.7–267.4 |
| 2091 | 322.6289.9–345 | 248.9230.5–272.2 |
| 2092 | 324.9291.6–343.6 | 251229.8–274 |
| 2093 | 322.3299.7–342.6 | 249.9234.8–267 |
| 2094 | 324299.3–343.4 | 252.2234–267.5 |
| 2095 | 326.4300.2–346.4 | 251.1233–270.7 |
| 2096 | 322.1294.4–346.4 | 250.8234.8–270.4 |
| 2097 | 320.9287.4–342.5 | 250.2227.8–270.8 |
| 2098 | 323.1293.8–344.4 | 250.1228.1–268.5 |
| 2099 | 322.6295.7–344.2 | 251.9232.2–268.2 |
| 2100 | 324.2293.6–346.6 | 251.1234.5–271.5 |
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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
喀麦隆与尼日尔对比
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军用
- 军费开支喀麦隆:2025 年为 GDP 的 1.06%尼日尔:2025 年为 GDP 的 2.14%
- 军费开支(美元)喀麦隆:2025 年为 US$5.8亿尼日尔:2025 年为 US$4.5亿
- 人均军费开支喀麦隆:2025 年为 US$21尼日尔:2025 年为 US$18
- 军费占政府支出比例喀麦隆:2025 年为 6.5%(占政府支出)尼日尔:2025 年为 15.2%(占政府支出)
- 武装部队人员喀麦隆:2020 年为 34,000 人尼日尔:2020 年为 10,000 人
- 国家实力喀麦隆:2022 年为 0.16%(占全球实力)尼日尔:2022 年为 0.11%(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)尼日尔:2020 年为 0.11%(占劳动力)
- 武器进口喀麦隆:2023 年为 200万 TIV尼日尔:2025 年为 400万 TIV