布基纳法索与苏丹对比
布基纳法索与苏丹:热带夜
2014 年热带夜:布基纳法索为 306.2 夜,苏丹为 242.4 夜(CMIP6 气候模型中位数模拟)。 2014 年布基纳法索的数值较高,高出 63.8 夜,是苏丹的 1.26 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,布基纳法索的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年布基纳法索为 341.5 夜,苏丹为 278.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 布基纳法索 | 苏丹 |
|---|---|---|
| 2014 | 306.2 | 242.4 |
| 2013 | 299.1 | 240 |
| 2012 | 307.8 | 242 |
| 2011 | 305 | 242.2 |
| 2010 | 303.3 | 240.6 |
| 2009 | 300.5 | 236.5 |
| 2008 | 301 | 237.1 |
| 2007 | 299.3 | 236 |
| 2006 | 298.1 | 235.3 |
| 2005 | 296.5 | 233.1 |
| 2004 | 294.5 | 233.5 |
| 2003 | 300.9 | 235.6 |
| 2002 | 297.7 | 234.7 |
| 2001 | 301.4 | 235.4 |
| 2000 | 295.9 | 230.5 |
| 1999 | 291.5 | 232.1 |
| 1998 | 290.8 | 230.2 |
| 1997 | 291.6 | 231.1 |
| 1996 | 287.9 | 227.3 |
| 1995 | 288.6 | 227.8 |
| 1994 | 285.2 | 225.3 |
| 1993 | 284.9 | 219.1 |
| 1992 | 283.1 | 217.8 |
| 1991 | 289.7 | 227.3 |
| 1990 | 292.7 | 227.5 |
| 1989 | 284.6 | 223 |
| 1988 | 284.4 | 223.1 |
| 1987 | 286.1 | 224.4 |
| 1986 | 289.8 | 226.4 |
| 1985 | 286.2 | 222.1 |
| 1984 | 284.2 | 220.7 |
| 1983 | 280.7 | 217 |
| 1982 | 284 | 216.3 |
| 1981 | 285.9 | 223.2 |
| 1980 | 282.6 | 220 |
| 1979 | 283.1 | 218.4 |
| 1978 | 283.8 | 218.5 |
| 1977 | 288.8 | 219.3 |
| 1976 | 280.6 | 220.1 |
| 1975 | 282.6 | 215.7 |
| 1974 | 280.3 | 217.5 |
| 1973 | 282.4 | 220 |
| 1972 | 280.9 | 217.9 |
| 1971 | 279.4 | 215.5 |
| 1970 | 283.1 | 217 |
| 1969 | 276.3 | 213.1 |
| 1968 | 279.9 | 214 |
| 1967 | 279.9 | 210.3 |
| 1966 | 276.7 | 213.3 |
| 1965 | 279.7 | 213.4 |
| 1964 | 277.3 | 213.2 |
| 1963 | 277.8 | 210.1 |
| 1962 | 283 | 217 |
| 1961 | 279.6 | 216.9 |
| 1960 | 284.1 | 221.3 |
| 1959 | 280.9 | 217.8 |
| 1958 | 279.2 | 216.2 |
| 1957 | 282.7 | 218.9 |
| 1956 | 281.5 | 217.2 |
| 1955 | 281.1 | 216.6 |
| 1954 | 283.2 | 218.9 |
| 1953 | 280.3 | 215.1 |
| 1952 | 277 | 216.4 |
| 1951 | 281.4 | 218.5 |
| 1950 | 276.6 | 214.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 布基纳法索 | 苏丹 |
|---|---|---|
| 2015 | 301.5278.6–322.3 | 242.3225.3–258.3 |
| 2016 | 301.6278.8–316.1 | 241.4223.3–254.1 |
| 2017 | 304.7279.1–320.9 | 243.2223–259.1 |
| 2018 | 305.6287.7–324.5 | 242.3226.4–258.5 |
| 2019 | 299.1275.1–327.4 | 243.1221.7–260.4 |
| 2020 | 301.4280.4–326.7 | 244.9225.9–261.7 |
| 2021 | 306.3286.3–324.6 | 245.6229.1–261.5 |
| 2022 | 309.9284.7–326.3 | 249230.9–262.3 |
| 2023 | 303.9284.2–324.9 | 247.1226.8–263.1 |
| 2024 | 314.6290.4–329.4 | 251.5232.8–266.1 |
| 2025 | 309.1286.3–326.7 | 250.7232.4–265.6 |
| 2026 | 308.4284.8–333.8 | 250230.8–266.6 |
| 2027 | 309.4290.1–329.6 | 248.8228.4–265.6 |
| 2028 | 315.7291.3–332.1 | 249232.2–263.1 |
| 2029 | 312.7293.8–332.6 | 251.4232.1–266 |
| 2030 | 314.8294–329.7 | 252235.4–266.7 |
| 2031 | 318.3294.9–335.1 | 253.3234.4–268.9 |
| 2032 | 316.8288.4–334.4 | 250.4232.3–266.6 |
| 2033 | 319.5291.6–336.9 | 254.4235.3–269.4 |
| 2034 | 315290.8–331.4 | 254.2234.5–269.9 |
| 2035 | 316.3295.4–337 | 258.3240.2–273.6 |
| 2036 | 316.2292.5–340.3 | 252.8235.6–268.6 |
| 2037 | 320.9298–335.8 | 256.7238.6–271.8 |
| 2038 | 321.6302.1–336.1 | 258.7244.8–272.1 |
| 2039 | 316.9300.1–335.4 | 259.5241.2–272.5 |
| 2040 | 320.6297.4–338.4 | 256.4236.7–272.3 |
| 2041 | 319.7303.1–340.8 | 259.1241.2–274.5 |
| 2042 | 319.4297.9–340.3 | 258.7242–274.7 |
| 2043 | 319.5297.3–335.6 | 258.1240.3–272.6 |
| 2044 | 325.1301.2–341.9 | 257.3238.6–274.7 |
| 2045 | 320.6300.1–341.4 | 258.8243.1–276.2 |
| 2046 | 324.4302.8–338 | 261.1241.7–277.6 |
| 2047 | 324304.1–344.8 | 261.4244.6–278.4 |
| 2048 | 323.9307–341.3 | 260.4243.4–279.5 |
| 2049 | 330.1308–342.5 | 261.9242.6–275.9 |
| 2050 | 326.2302.4–342.3 | 263.5245.4–279 |
| 2051 | 325308.4–342.8 | 263.6246.6–278.8 |
| 2052 | 323.3305.7–342.2 | 263.8248.7–278.3 |
| 2053 | 326.1303.8–343.8 | 262.8242.4–279.2 |
| 2054 | 329.9306.2–346.3 | 266.3246.6–282.9 |
| 2055 | 326.1306.7–341.6 | 265.6245.9–281.4 |
| 2056 | 330.4305.8–346.1 | 264.1242.6–281.5 |
| 2057 | 332.8310.2–349.5 | 266.4247.6–283.4 |
| 2058 | 326.9308.7–346.1 | 265.2247.4–280.3 |
| 2059 | 330.9312.9–352.1 | 268.4249.6–285.4 |
| 2060 | 329.8309.1–348.3 | 263.6246.7–284.4 |
| 2061 | 330.4308.6–349.7 | 266.9250.1–281.9 |
| 2062 | 328.9306.7–344.4 | 266.4248.5–285 |
| 2063 | 333.4307.6–347.8 | 267.1246.9–283.4 |
| 2064 | 330.5311.7–352.2 | 269250.7–284.7 |
| 2065 | 331.3316.3–351.2 | 269.8253.9–285.6 |
| 2066 | 331.6311.1–348.1 | 271.4251.9–287.3 |
| 2067 | 331.4306.8–349.9 | 270.9250–288.4 |
| 2068 | 334.9313.7–353.8 | 271.9251.7–289.8 |
| 2069 | 332.4314.1–345.4 | 268251.1–286.2 |
| 2070 | 333.5312–349 | 269252.3–285.8 |
| 2071 | 335.3312.3–348.8 | 275.5254.1–290.4 |
| 2072 | 339.6318.4–350.6 | 273.3254.2–289.4 |
| 2073 | 333.6312.8–348 | 271.9250.7–287.6 |
| 2074 | 332.2311.4–348.7 | 270.9249–290.1 |
| 2075 | 333.1316.8–350.7 | 273.1254–291.9 |
| 2076 | 336.1315.6–349.7 | 272.7255.2–290.9 |
| 2077 | 339.7315.9–354.5 | 274.6255.2–292.7 |
| 2078 | 338.9318.9–348.4 | 274.3255.6–291.2 |
| 2079 | 335.1319.3–350.6 | 272255.2–288.5 |
| 2080 | 339.1316–355.1 | 276.6256–292.2 |
| 2081 | 336.1310.9–352.7 | 275.1254.1–294.8 |
| 2082 | 336.1315.8–351.3 | 272.9258.7–288.6 |
| 2083 | 337.4319.9–355.5 | 276.5258–291.7 |
| 2084 | 336318.8–355.3 | 275.4253–294.9 |
| 2085 | 339.7318.5–356.3 | 275.3258.6–291.6 |
| 2086 | 338.9318.1–353.1 | 276.4256.9–296.6 |
| 2087 | 338.2316.6–354.8 | 273.5253.1–293.3 |
| 2088 | 336.6315.1–351.8 | 273.6253.7–293.6 |
| 2089 | 335.9318.8–351.7 | 276.5256.6–293.4 |
| 2090 | 337.9315.4–354.2 | 276.6256.4–294.6 |
| 2091 | 338.3313.7–354.4 | 277.4256.4–296.6 |
| 2092 | 337.5312.4–353.6 | 274.6254.3–294.9 |
| 2093 | 341.4319.5–355.1 | 278261.9–292.1 |
| 2094 | 340.2317–355.9 | 280.3262.2–294 |
| 2095 | 338.6317.5–354.7 | 277.5262.6–294 |
| 2096 | 337.1318.6–358.2 | 279.7258.7–297 |
| 2097 | 336.6312.6–351.9 | 276.3254.1–297.6 |
| 2098 | 336.1315.6–354.2 | 277.7258.2–295.5 |
| 2099 | 337.9322.1–353.7 | 276.8257.2–296.2 |
| 2100 | 341.5313.9–356.9 | 278.6259–294.3 |
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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
布基纳法索与苏丹对比
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军用
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- 军费开支(美元)布基纳法索:2025 年为 US$8.44亿苏丹:2021 年为 US$27.7亿
- 人均军费开支布基纳法索:2025 年为 US$37苏丹:2021 年为 US$8
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- 武装部队人员布基纳法索:2020 年为 11,000 人苏丹:2020 年为 144,000 人
- 国家实力布基纳法索:2022 年为 0.09%(占全球实力)苏丹:2022 年为 0.37%(占全球实力)
- 武装部队占劳动力比例布基纳法索:2020 年为 0.12%(占劳动力)苏丹:2020 年为 1.34%(占劳动力)
- 武器进口布基纳法索:2025 年为 3400万 TIV苏丹:2025 年为 5700万 TIV