喀麦隆与莫桑比克对比
喀麦隆与莫桑比克:热带夜
2014 年热带夜:喀麦隆为 238.7 夜,莫桑比克为 186.3 夜(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 52.4 夜,是莫桑比克的 1.28 倍。
每年夜数 · CMIP6
数据解读
- 自 1968 年超过莫桑比克以来,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,莫桑比克为 254.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 喀麦隆 | 莫桑比克 |
|---|---|---|
| 2014 | 238.7 | 186.3 |
| 2013 | 236.7 | 186.9 |
| 2012 | 242.2 | 185.2 |
| 2011 | 237.6 | 184.1 |
| 2010 | 230.4 | 182.2 |
| 2009 | 226.6 | 178.2 |
| 2008 | 223.1 | 176.8 |
| 2007 | 222.1 | 178.9 |
| 2006 | 220.1 | 177.4 |
| 2005 | 216.1 | 176.9 |
| 2004 | 217.6 | 181 |
| 2003 | 221 | 180 |
| 2002 | 215.5 | 177.1 |
| 2001 | 223 | 180.6 |
| 2000 | 210 | 173.6 |
| 1999 | 200.5 | 171.5 |
| 1998 | 203.5 | 174.1 |
| 1997 | 202 | 169.9 |
| 1996 | 190 | 164.7 |
| 1995 | 187.3 | 165.8 |
| 1994 | 183.1 | 163.1 |
| 1993 | 165.2 | 155.5 |
| 1992 | 156.7 | 156 |
| 1991 | 192.6 | 167.5 |
| 1990 | 200.7 | 170.2 |
| 1989 | 187.5 | 164 |
| 1988 | 185.8 | 166.4 |
| 1987 | 182.7 | 166 |
| 1986 | 188.9 | 166.6 |
| 1985 | 173.2 | 159.3 |
| 1984 | 172.9 | 161.1 |
| 1983 | 165.5 | 159.7 |
| 1982 | 176.3 | 160.6 |
| 1981 | 182.6 | 164.5 |
| 1980 | 173.6 | 161.9 |
| 1979 | 175.8 | 162.2 |
| 1978 | 172.8 | 160.2 |
| 1977 | 175.7 | 160.2 |
| 1976 | 164.5 | 157.4 |
| 1975 | 159.5 | 157.7 |
| 1974 | 166.8 | 159.1 |
| 1973 | 170.4 | 160.4 |
| 1972 | 165.2 | 157.6 |
| 1971 | 161.3 | 155.6 |
| 1970 | 164.4 | 159.7 |
| 1969 | 160 | 157.8 |
| 1968 | 157.8 | 153 |
| 1967 | 147.9 | 152.8 |
| 1966 | 156.5 | 152.5 |
| 1965 | 151.6 | 153.1 |
| 1964 | 143.1 | 145.9 |
| 1963 | 145.9 | 146.8 |
| 1962 | 171.8 | 158.5 |
| 1961 | 167.2 | 158.8 |
| 1960 | 176.2 | 160.6 |
| 1959 | 166.5 | 159.7 |
| 1958 | 169.2 | 159.5 |
| 1957 | 168.2 | 156.9 |
| 1956 | 160 | 153.4 |
| 1955 | 163.7 | 159.6 |
| 1954 | 167.6 | 155.4 |
| 1953 | 168.2 | 156.8 |
| 1952 | 165.7 | 156.6 |
| 1951 | 172.8 | 157.4 |
| 1950 | 162.8 | 156.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 喀麦隆 | 莫桑比克 |
|---|---|---|
| 2015 | 242.2196.9–270.8 | 191170.1–212.1 |
| 2016 | 237.7192.1–259.9 | 187.6168.6–208.2 |
| 2017 | 245.8205.7–271.3 | 190.1169.4–210.1 |
| 2018 | 245.7208–270.5 | 189.8163.6–212.8 |
| 2019 | 243.7200.2–275.6 | 189.7171.9–208.8 |
| 2020 | 246.4210.4–278 | 191.3169–213.8 |
| 2021 | 255.2220.2–279.6 | 193.1172.7–212.9 |
| 2022 | 255.8221–285.7 | 199.9176.3–216.7 |
| 2023 | 254.5221.7–284.1 | 196.8176.4–217.3 |
| 2024 | 263225.8–286.8 | 199.7173.4–222.8 |
| 2025 | 257.3222.7–293.9 | 195.7173–219.1 |
| 2026 | 260.4211.9–292 | 197.7172.6–219.3 |
| 2027 | 258.5223.8–291.5 | 199.9177.9–221.8 |
| 2028 | 266.9235.5–294.7 | 202.5181.1–221.1 |
| 2029 | 269.9242.3–293.5 | 207.6187.3–227.3 |
| 2030 | 266.6229–293.5 | 203.6183.2–223.8 |
| 2031 | 273.2229.9–298.5 | 207.3188.7–225 |
| 2032 | 269.8240.6–296.2 | 207.4186.7–230.9 |
| 2033 | 271.8235.6–303.4 | 206.1180.7–226.1 |
| 2034 | 268.1239.2–299.1 | 206.3181.3–227.7 |
| 2035 | 277.5241.5–302.7 | 208.2184.1–233.6 |
| 2036 | 275.7235.1–301.3 | 208.3183.8–226.4 |
| 2037 | 283.5252.3–305.9 | 213.7191.8–234.3 |
| 2038 | 285.8258–307.9 | 218.4195.7–240.9 |
| 2039 | 280.9250.4–305.8 | 212.6192.3–233.5 |
| 2040 | 279.5252.1–310.6 | 212.7189–233.9 |
| 2041 | 284.5254.6–309.9 | 213.1187.1–238 |
| 2042 | 284.8253.6–313.2 | 214.9190.4–241.3 |
| 2043 | 281.2251.4–309.8 | 216196.2–238.9 |
| 2044 | 283.8244.4–312.3 | 220.2196.1–242.1 |
| 2045 | 286.8253.7–311.4 | 217.2198.6–237.6 |
| 2046 | 296.1260.6–318.1 | 224.4200.5–247.6 |
| 2047 | 294.3260.7–316.6 | 224.5201.3–246.3 |
| 2048 | 297.3265.6–318.1 | 225.7205–247.5 |
| 2049 | 298.3267.8–318.1 | 226.4199.2–247.8 |
| 2050 | 296.9267.9–322.7 | 225.5198.1–246.6 |
| 2051 | 297.8266.7–319.9 | 227.5206.2–248.7 |
| 2052 | 298.7270.1–322.3 | 230.5208.6–255.2 |
| 2053 | 297.7261.3–321.7 | 226.3200.4–250 |
| 2054 | 301.2268.2–324.6 | 227.8203.9–256.1 |
| 2055 | 301.3276.5–324.3 | 231.5208.3–254.4 |
| 2056 | 302.1270.4–329.2 | 227.8204.6–253.1 |
| 2057 | 305.4277.7–327.4 | 227.6205.7–252.2 |
| 2058 | 302.6272.1–325.2 | 230.2208.3–251.8 |
| 2059 | 306.2279.6–330.1 | 235.5212.5–261.4 |
| 2060 | 306.1276.1–331.1 | 237.5208.9–257.9 |
| 2061 | 304.4267.2–329.7 | 232.1204.8–256.1 |
| 2062 | 307.6266.2–332.2 | 233.2208.6–257.9 |
| 2063 | 309.1272.5–328.8 | 233.3207.3–261.6 |
| 2064 | 308.5278.7–331 | 234.6209.3–255.8 |
| 2065 | 311.3284.1–329.6 | 236208.7–261 |
| 2066 | 311.9284–332.7 | 239.4213.6–261.8 |
| 2067 | 310.1271.7–335.6 | 235.5205.9–259.4 |
| 2068 | 312.9278.7–335 | 237.7211–264.3 |
| 2069 | 310.4278.4–333.4 | 241.1212.2–263.4 |
| 2070 | 309.8281.2–334.9 | 240.7212.1–266 |
| 2071 | 316.4282.3–336 | 244.1214.3–272.8 |
| 2072 | 315.4289.2–335.3 | 244.7215.8–267.8 |
| 2073 | 314282.6–339.5 | 246214.2–267.6 |
| 2074 | 311.7281.9–336.8 | 242.2219.9–271.1 |
| 2075 | 314.8285.3–335.3 | 244.4215.6–267.9 |
| 2076 | 315.2284.7–338.4 | 240.8211–264.8 |
| 2077 | 318.2289.7–341.4 | 241.4214.7–272.4 |
| 2078 | 315.8286.4–338.5 | 245.4220.8–271.1 |
| 2079 | 317.7287.8–337.5 | 244.1214.3–276.4 |
| 2080 | 321.5285.9–341.7 | 246.1221–273.6 |
| 2081 | 318.7290–339 | 245.6214.5–268.1 |
| 2082 | 316.2289–337.7 | 246.9220.6–268.3 |
| 2083 | 317.7288.2–341.6 | 247.3217.4–276.4 |
| 2084 | 318.5284.5–342.1 | 248.5223.3–270.9 |
| 2085 | 323.4294–342.7 | 253.4221.5–277.6 |
| 2086 | 319.5292.3–343 | 242.9216.4–272.3 |
| 2087 | 318292.7–342.5 | 247.4222.8–271.3 |
| 2088 | 320.4288.1–342 | 253221.1–274.9 |
| 2089 | 320.1289.6–340.7 | 251.6221.9–277.3 |
| 2090 | 322.4292.8–342.6 | 249.9218.6–277.9 |
| 2091 | 322.6289.9–345 | 253.2221.4–280.8 |
| 2092 | 324.9291.6–343.6 | 252.7221.5–279.5 |
| 2093 | 322.3299.7–342.6 | 256221.7–279.4 |
| 2094 | 324299.3–343.4 | 251.8221–280.3 |
| 2095 | 326.4300.2–346.4 | 255.6225.8–278.1 |
| 2096 | 322.1294.4–346.4 | 254.7225.8–280.4 |
| 2097 | 320.9287.4–342.5 | 253.2221.8–281.6 |
| 2098 | 323.1293.8–344.4 | 256.1225.2–279.6 |
| 2099 | 322.6295.7–344.2 | 254.9223.4–278.7 |
| 2100 | 324.2293.6–346.6 | 254.4226.1–279.1 |
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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
喀麦隆与莫桑比克对比
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冲突
军用
- 军费开支喀麦隆:2025 年为 GDP 的 1.06%莫桑比克:2025 年为 GDP 的 1.87%
- 军费开支(美元)喀麦隆:2025 年为 US$5.8亿莫桑比克:2025 年为 US$4.46亿
- 人均军费开支喀麦隆:2025 年为 US$21莫桑比克:2025 年为 US$13
- 军费占政府支出比例喀麦隆:2025 年为 6.5%(占政府支出)莫桑比克:2025 年为 6%(占政府支出)
- 武装部队人员喀麦隆:2020 年为 34,000 人莫桑比克:2020 年为 11,000 人
- 国家实力喀麦隆:2022 年为 0.16%(占全球实力)莫桑比克:2022 年为 0.13%(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)莫桑比克:2020 年为 0.08%(占劳动力)
- 武器进口喀麦隆:2023 年为 200万 TIV莫桑比克:2025 年为 1400万 TIV