喀麦隆与乌干达对比
喀麦隆与乌干达:热带夜
2014 年热带夜:喀麦隆为 238.7 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 114 夜,是乌干达的 1.91 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,喀麦隆的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年喀麦隆为 324.2 夜,乌干达为 245.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 喀麦隆 | 乌干达 |
|---|---|---|
| 2014 | 238.7 | 124.7 |
| 2013 | 236.7 | 124 |
| 2012 | 242.2 | 122.2 |
| 2011 | 237.6 | 125.7 |
| 2010 | 230.4 | 122.5 |
| 2009 | 226.6 | 114.8 |
| 2008 | 223.1 | 114.1 |
| 2007 | 222.1 | 111.2 |
| 2006 | 220.1 | 117.4 |
| 2005 | 216.1 | 113.8 |
| 2004 | 217.6 | 114.6 |
| 2003 | 221 | 114.4 |
| 2002 | 215.5 | 114.4 |
| 2001 | 223 | 117.1 |
| 2000 | 210 | 109 |
| 1999 | 200.5 | 105.5 |
| 1998 | 203.5 | 105 |
| 1997 | 202 | 106.1 |
| 1996 | 190 | 102.1 |
| 1995 | 187.3 | 99.9 |
| 1994 | 183.1 | 94.6 |
| 1993 | 165.2 | 90.8 |
| 1992 | 156.7 | 89.9 |
| 1991 | 192.6 | 102.1 |
| 1990 | 200.7 | 103.8 |
| 1989 | 187.5 | 99.1 |
| 1988 | 185.8 | 98.6 |
| 1987 | 182.7 | 98.3 |
| 1986 | 188.9 | 99.2 |
| 1985 | 173.2 | 92.1 |
| 1984 | 172.9 | 94.6 |
| 1983 | 165.5 | 90.4 |
| 1982 | 176.3 | 94.4 |
| 1981 | 182.6 | 98.5 |
| 1980 | 173.6 | 96.3 |
| 1979 | 175.8 | 93.9 |
| 1978 | 172.8 | 91 |
| 1977 | 175.7 | 95.1 |
| 1976 | 164.5 | 92 |
| 1975 | 159.5 | 89.6 |
| 1974 | 166.8 | 91.8 |
| 1973 | 170.4 | 92.8 |
| 1972 | 165.2 | 90 |
| 1971 | 161.3 | 87.1 |
| 1970 | 164.4 | 88.8 |
| 1969 | 160 | 88 |
| 1968 | 157.8 | 87.3 |
| 1967 | 147.9 | 82.3 |
| 1966 | 156.5 | 82.5 |
| 1965 | 151.6 | 82.2 |
| 1964 | 143.1 | 78.2 |
| 1963 | 145.9 | 80.3 |
| 1962 | 171.8 | 88.5 |
| 1961 | 167.2 | 90.7 |
| 1960 | 176.2 | 93.2 |
| 1959 | 166.5 | 91.3 |
| 1958 | 169.2 | 88.7 |
| 1957 | 168.2 | 90.1 |
| 1956 | 160 | 88.8 |
| 1955 | 163.7 | 89 |
| 1954 | 167.6 | 89.5 |
| 1953 | 168.2 | 89 |
| 1952 | 165.7 | 89.6 |
| 1951 | 172.8 | 91.1 |
| 1950 | 162.8 | 87.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 喀麦隆 | 乌干达 |
|---|---|---|
| 2015 | 242.2196.9–270.8 | 131.598.6–164.1 |
| 2016 | 237.7192.1–259.9 | 12398.5–154.1 |
| 2017 | 245.8205.7–271.3 | 133.7108.6–162.7 |
| 2018 | 245.7208–270.5 | 134.2102.5–164 |
| 2019 | 243.7200.2–275.6 | 131.3104.8–166.2 |
| 2020 | 246.4210.4–278 | 140.7102.6–171.5 |
| 2021 | 255.2220.2–279.6 | 137.9112.9–175.4 |
| 2022 | 255.8221–285.7 | 140116.2–169.9 |
| 2023 | 254.5221.7–284.1 | 140.4114.2–184.8 |
| 2024 | 263225.8–286.8 | 151.1113.5–186.7 |
| 2025 | 257.3222.7–293.9 | 143108.5–176.4 |
| 2026 | 260.4211.9–292 | 144.6109.7–179.6 |
| 2027 | 258.5223.8–291.5 | 147.6116–175.4 |
| 2028 | 266.9235.5–294.7 | 151.6120.2–179.6 |
| 2029 | 269.9242.3–293.5 | 155.2127.3–178.6 |
| 2030 | 266.6229–293.5 | 150.4117.6–185.1 |
| 2031 | 273.2229.9–298.5 | 161.6132–187.2 |
| 2032 | 269.8240.6–296.2 | 159.1134.2–190.5 |
| 2033 | 271.8235.6–303.4 | 158.9123.4–200.6 |
| 2034 | 268.1239.2–299.1 | 161.5135.6–202.5 |
| 2035 | 277.5241.5–302.7 | 164.9126.3–193 |
| 2036 | 275.7235.1–301.3 | 158.5127.7–195.4 |
| 2037 | 283.5252.3–305.9 | 168.3138.2–207.3 |
| 2038 | 285.8258–307.9 | 173.8139.7–206.2 |
| 2039 | 280.9250.4–305.8 | 171.2130.1–205 |
| 2040 | 279.5252.1–310.6 | 170.4134.1–207.4 |
| 2041 | 284.5254.6–309.9 | 176.3144.6–208 |
| 2042 | 284.8253.6–313.2 | 175137.8–214.3 |
| 2043 | 281.2251.4–309.8 | 173.6132.8–207.6 |
| 2044 | 283.8244.4–312.3 | 176.1136.8–206.9 |
| 2045 | 286.8253.7–311.4 | 178.9138.3–217.7 |
| 2046 | 296.1260.6–318.1 | 191.9136.6–235 |
| 2047 | 294.3260.7–316.6 | 187.7156.6–225.3 |
| 2048 | 297.3265.6–318.1 | 189.3151.5–227.4 |
| 2049 | 298.3267.8–318.1 | 195.1154.9–233.6 |
| 2050 | 296.9267.9–322.7 | 191150.7–236.4 |
| 2051 | 297.8266.7–319.9 | 191.2154.4–228.2 |
| 2052 | 298.7270.1–322.3 | 192.6157.7–231.7 |
| 2053 | 297.7261.3–321.7 | 194.5149.7–233.5 |
| 2054 | 301.2268.2–324.6 | 199156.3–236.8 |
| 2055 | 301.3276.5–324.3 | 201.3151.7–240.7 |
| 2056 | 302.1270.4–329.2 | 198.9156.9–240.2 |
| 2057 | 305.4277.7–327.4 | 200165.5–244.7 |
| 2058 | 302.6272.1–325.2 | 208.8156.5–248.3 |
| 2059 | 306.2279.6–330.1 | 212.7171.1–254 |
| 2060 | 306.1276.1–331.1 | 212.6160.3–253.1 |
| 2061 | 304.4267.2–329.7 | 208.9162.4–258.1 |
| 2062 | 307.6266.2–332.2 | 206.4159.1–267.6 |
| 2063 | 309.1272.5–328.8 | 209.3168.5–246.3 |
| 2064 | 308.5278.7–331 | 210.6166.2–253.8 |
| 2065 | 311.3284.1–329.6 | 214.5167.8–261.1 |
| 2066 | 311.9284–332.7 | 211.9171.8–256.1 |
| 2067 | 310.1271.7–335.6 | 208.4168.3–269.8 |
| 2068 | 312.9278.7–335 | 216.4169.7–268.7 |
| 2069 | 310.4278.4–333.4 | 213170.3–268.1 |
| 2070 | 309.8281.2–334.9 | 216.4176.4–270.9 |
| 2071 | 316.4282.3–336 | 215.5174.6–273.5 |
| 2072 | 315.4289.2–335.3 | 227.3184.1–272.3 |
| 2073 | 314282.6–339.5 | 230.4189.3–278.5 |
| 2074 | 311.7281.9–336.8 | 220.7176.9–277 |
| 2075 | 314.8285.3–335.3 | 217.7167–274.2 |
| 2076 | 315.2284.7–338.4 | 228.1178.9–279 |
| 2077 | 318.2289.7–341.4 | 229.5189.6–280.5 |
| 2078 | 315.8286.4–338.5 | 225.6187.8–276.4 |
| 2079 | 317.7287.8–337.5 | 231.9168.8–277.7 |
| 2080 | 321.5285.9–341.7 | 232.8182.6–283.1 |
| 2081 | 318.7290–339 | 227.9187.6–279.3 |
| 2082 | 316.2289–337.7 | 233.1185.6–279.4 |
| 2083 | 317.7288.2–341.6 | 232.2175.7–297 |
| 2084 | 318.5284.5–342.1 | 237.2185.5–288.8 |
| 2085 | 323.4294–342.7 | 239.5192.4–291.7 |
| 2086 | 319.5292.3–343 | 236.2189.8–289.4 |
| 2087 | 318292.7–342.5 | 239.4188.9–294 |
| 2088 | 320.4288.1–342 | 236.8193.6–288.9 |
| 2089 | 320.1289.6–340.7 | 238.8193.8–293.7 |
| 2090 | 322.4292.8–342.6 | 237.7190.1–301.5 |
| 2091 | 322.6289.9–345 | 251188.7–300.1 |
| 2092 | 324.9291.6–343.6 | 243.4194.9–297.8 |
| 2093 | 322.3299.7–342.6 | 244.4199.2–296.8 |
| 2094 | 324299.3–343.4 | 245.6202.9–299.8 |
| 2095 | 326.4300.2–346.4 | 253.2202.4–306.1 |
| 2096 | 322.1294.4–346.4 | 241.4196.5–304 |
| 2097 | 320.9287.4–342.5 | 243.1194–296.6 |
| 2098 | 323.1293.8–344.4 | 242.9199–302.3 |
| 2099 | 322.6295.7–344.2 | 247.3194.4–306.1 |
| 2100 | 324.2293.6–346.6 | 245.3195.5–307.2 |
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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
喀麦隆与乌干达对比
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冲突
军用
- 军费开支喀麦隆:2025 年为 GDP 的 1.06%乌干达:2025 年为 GDP 的 1.96%
- 军费开支(美元)喀麦隆:2025 年为 US$5.8亿乌干达:2025 年为 US$12亿
- 人均军费开支喀麦隆:2025 年为 US$21乌干达:2025 年为 US$26
- 军费占政府支出比例喀麦隆:2025 年为 6.5%(占政府支出)乌干达:2025 年为 9%(占政府支出)
- 武装部队人员喀麦隆:2020 年为 34,000 人乌干达:2020 年为 46,000 人
- 国家实力喀麦隆:2022 年为 0.16%(占全球实力)乌干达:2022 年为 0.2%(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)乌干达:2020 年为 0.24%(占劳动力)
- 武器进口喀麦隆:2023 年为 200万 TIV乌干达:2025 年为 200万 TIV