几内亚与马里对比
几内亚与马里:热带夜
2014 年热带夜:几内亚为 286.6 夜,马里为 250.2 夜(CMIP6 气候模型中位数模拟)。 2014 年几内亚的数值较高,高出 36.4 夜,是马里的 1.15 倍。
每年夜数 · CMIP6
数据解读
- 自 1964 年超过马里以来,几内亚的数值一直更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年几内亚为 345.3 夜,马里为 283.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 几内亚 | 马里 |
|---|---|---|
| 2014 | 286.6 | 250.2 |
| 2013 | 285.3 | 247.3 |
| 2012 | 292.9 | 253.1 |
| 2011 | 288.8 | 251.9 |
| 2010 | 285.2 | 250.4 |
| 2009 | 282.5 | 248 |
| 2008 | 279 | 247.8 |
| 2007 | 278.9 | 248.1 |
| 2006 | 278.8 | 245.5 |
| 2005 | 278.9 | 244.3 |
| 2004 | 276 | 243.9 |
| 2003 | 279.6 | 247.1 |
| 2002 | 277.1 | 245.8 |
| 2001 | 279.8 | 245.6 |
| 2000 | 273.1 | 243.2 |
| 1999 | 267 | 242.4 |
| 1998 | 268.4 | 240.6 |
| 1997 | 266.6 | 240.7 |
| 1996 | 260.4 | 236.4 |
| 1995 | 260.3 | 238 |
| 1994 | 255 | 236.2 |
| 1993 | 246.6 | 235.1 |
| 1992 | 242.4 | 232 |
| 1991 | 264.3 | 238.7 |
| 1990 | 266.4 | 241 |
| 1989 | 259.7 | 236.3 |
| 1988 | 256.9 | 234.7 |
| 1987 | 258.4 | 236.1 |
| 1986 | 259.9 | 237.1 |
| 1985 | 252.6 | 235.3 |
| 1984 | 249.6 | 233 |
| 1983 | 248.4 | 231.2 |
| 1982 | 250 | 234.9 |
| 1981 | 253.5 | 233.9 |
| 1980 | 251.2 | 231.5 |
| 1979 | 251.2 | 233.8 |
| 1978 | 252 | 234.8 |
| 1977 | 250.4 | 233.6 |
| 1976 | 244 | 231.7 |
| 1975 | 242.3 | 232.4 |
| 1974 | 247.2 | 229.7 |
| 1973 | 249.3 | 230.3 |
| 1972 | 246.1 | 230.7 |
| 1971 | 244.5 | 229.5 |
| 1970 | 249 | 229.9 |
| 1969 | 241.2 | 227.3 |
| 1968 | 241.5 | 230.5 |
| 1967 | 233.3 | 229 |
| 1966 | 237.7 | 228.1 |
| 1965 | 239.8 | 230.2 |
| 1964 | 231 | 228.9 |
| 1963 | 225.8 | 228.2 |
| 1962 | 246.9 | 231.7 |
| 1961 | 246 | 231.6 |
| 1960 | 250.5 | 235.1 |
| 1959 | 244.8 | 231.8 |
| 1958 | 245.6 | 231.8 |
| 1957 | 247.5 | 233.3 |
| 1956 | 242.4 | 230.7 |
| 1955 | 243.5 | 230.6 |
| 1954 | 250.2 | 232 |
| 1953 | 241.2 | 228.3 |
| 1952 | 240.3 | 229.2 |
| 1951 | 248.8 | 231.4 |
| 1950 | 240.8 | 228.6 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 几内亚 | 马里 |
|---|---|---|
| 2015 | 286.7259.9–308.5 | 247.9231.5–264.7 |
| 2016 | 288.9262.6–304 | 248231.3–262.6 |
| 2017 | 291.6265.5–311.4 | 252.7233.6–268.2 |
| 2018 | 295.6269.3–311.8 | 254.2236.4–269 |
| 2019 | 291.8266.8–313.6 | 251.6233.5–272.3 |
| 2020 | 291.2265.6–315.4 | 251.3231.2–270.7 |
| 2021 | 295.8268–316.3 | 254.8238.5–270 |
| 2022 | 299.9277.9–322.4 | 257237.8–275.3 |
| 2023 | 296273.8–318 | 254.2239.6–269.2 |
| 2024 | 302.3276.9–322.8 | 259.3242.3–276.8 |
| 2025 | 298.9275.2–322.4 | 256.2239.2–272.3 |
| 2026 | 302.5269.3–323.9 | 256.8237.2–277.8 |
| 2027 | 302.6276.3–320.2 | 258.5240.3–273.1 |
| 2028 | 308.2285.4–325.8 | 259.7243.6–273.9 |
| 2029 | 309.3280.6–327.2 | 260.8240.3–275.3 |
| 2030 | 305.5277.4–322.4 | 258.1237.5–272.6 |
| 2031 | 313.2282.2–329.6 | 262.2243.4–280.6 |
| 2032 | 307.7287.3–329.5 | 260.5242.1–278.2 |
| 2033 | 310.4282.4–337.8 | 262.1241.7–280.3 |
| 2034 | 308281.7–327.4 | 260.7242–275.3 |
| 2035 | 311.2284.9–333 | 261.5244.8–283.6 |
| 2036 | 312.8285.7–334.5 | 262.5244.6–281.1 |
| 2037 | 315.5291.8–331.1 | 264.5245.2–279.6 |
| 2038 | 317.9296.3–333.9 | 266246.7–283.2 |
| 2039 | 314.1291.6–336 | 262.3245–281.6 |
| 2040 | 316.1292.9–334.6 | 263.6247.5–279.6 |
| 2041 | 315.4296.5–335.7 | 264.6250.8–283.1 |
| 2042 | 316290.7–336.6 | 265.7245.9–283.5 |
| 2043 | 314.8291.1–332.7 | 264.8246.9–278.8 |
| 2044 | 319.8289.7–337.5 | 269.3247.4–284.7 |
| 2045 | 318.6296.4–339 | 265.6248.9–283.7 |
| 2046 | 321.4295.7–337 | 269.8247.5–286.4 |
| 2047 | 324.6297.9–342.8 | 271.9251.2–290.3 |
| 2048 | 324.8304.4–341.1 | 270.4254.4–288.2 |
| 2049 | 324.2302.4–340.2 | 272252.1–288.2 |
| 2050 | 322.4299.7–339.6 | 269.5250.6–286.4 |
| 2051 | 326.1300.4–342 | 268.8251.7–286.9 |
| 2052 | 324301.5–342.8 | 270.1252.7–292.1 |
| 2053 | 325.6298–345.3 | 269.3249.2–288.8 |
| 2054 | 329.5301.3–345.1 | 270.3251.7–290.6 |
| 2055 | 324.4305.3–342.4 | 270.9252.7–288.1 |
| 2056 | 329.6299.4–349.4 | 273248.6–291.4 |
| 2057 | 332.4301.5–351 | 275.5255.2–295 |
| 2058 | 328.8305.6–347.6 | 271252.7–293.2 |
| 2059 | 330.3310.8–350.5 | 274.5259.3–299.6 |
| 2060 | 328.3309.4–348.2 | 273.5258–293.7 |
| 2061 | 330.5304.6–352.8 | 275.4257–298 |
| 2062 | 327.7307.3–346.5 | 270.8251.7–291.8 |
| 2063 | 333.4311–349.1 | 275.9256.6–292.2 |
| 2064 | 330.9310.6–351.6 | 276.4256.6–298.4 |
| 2065 | 331.4309.7–350.6 | 275.3256–295.1 |
| 2066 | 331.8312.3–347.4 | 276.9260–296.5 |
| 2067 | 329.1304–348.6 | 272.6255.4–293.3 |
| 2068 | 335.4309.6–354.5 | 277.5258.1–296.5 |
| 2069 | 333.5313–351.4 | 276.1257.7–293.3 |
| 2070 | 331.7310.9–352.7 | 277.2256.6–296.6 |
| 2071 | 334.6315.6–352.4 | 277.2258.4–295.6 |
| 2072 | 338.3317–353.2 | 281.9263.8–298.9 |
| 2073 | 334309.7–351.6 | 276.8257.9–296.8 |
| 2074 | 330.2310.6–352 | 277.7258.7–295.9 |
| 2075 | 334312–352.2 | 278.5260.1–298.5 |
| 2076 | 338.4321.3–352.1 | 278.1261.1–294.2 |
| 2077 | 341.4318.4–355.6 | 283.8263.1–302.3 |
| 2078 | 338.1316.6–355.8 | 283.8263.5–299.4 |
| 2079 | 337.5318.8–355.3 | 278.9259.2–300.6 |
| 2080 | 339.8315.4–358 | 281.2262.1–299.4 |
| 2081 | 339.3318.2–356.6 | 279.1259.3–301.8 |
| 2082 | 337.9316.1–353.3 | 280.2260.2–298.4 |
| 2083 | 339.2320.8–355.8 | 280.8260.8–302.3 |
| 2084 | 340.5321–354.6 | 280.4263.8–301 |
| 2085 | 343.8319.9–358.1 | 284.6259.2–303 |
| 2086 | 342.2318.7–358.7 | 281.9262.8–302.4 |
| 2087 | 340.7319.9–357.6 | 279.7258.8–302.8 |
| 2088 | 341.2318.3–354.9 | 282.3260.7–303.3 |
| 2089 | 337.9318.6–354.8 | 283.4262.4–300.5 |
| 2090 | 341.1315–356 | 283.9259.8–301.9 |
| 2091 | 339.7319.7–355.5 | 283.1260.4–304.8 |
| 2092 | 339.7320.4–356.8 | 281.6259.7–303.1 |
| 2093 | 341.8325.1–356.2 | 284.8265.8–305.4 |
| 2094 | 342.2324–356.4 | 284.6262.8–305.6 |
| 2095 | 340.7323.5–359.3 | 283.6262–304.6 |
| 2096 | 343.2324–359.7 | 284.9263.3–306.3 |
| 2097 | 340.3313.8–353.8 | 280261–300.5 |
| 2098 | 339.9318.8–357 | 282.5262–302.1 |
| 2099 | 341.5324.6–355.9 | 285.3266.2–305.4 |
| 2100 | 345.3319.6–357.9 | 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
几内亚与马里对比
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军用
- 军费开支几内亚:2025 年为 GDP 的 2.03%马里:2025 年为 GDP 的 3.87%
- 军费开支(美元)几内亚:2025 年为 US$5.86亿马里:2025 年为 US$8.83亿
- 人均军费开支几内亚:2025 年为 US$40马里:2025 年为 US$38
- 军费占政府支出比例几内亚:2025 年为 10.6%(占政府支出)马里:2025 年为 14.8%(占政府支出)
- 武装部队人员几内亚:2020 年为 13,000 人马里:2020 年为 41,000 人
- 国家实力几内亚:2022 年为 0.07%(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几内亚:2020 年为 0.32%(占劳动力)马里:2020 年为 0.54%(占劳动力)
- 武器进口几内亚:2025 年为 600万 TIV马里:2025 年为 6400万 TIV