贝宁与苏丹对比
贝宁与苏丹:热带夜
2014 年热带夜:贝宁为 333.9 夜,苏丹为 242.4 夜(CMIP6 气候模型中位数模拟)。 2014 年贝宁的数值较高,高出 91.5 夜,是苏丹的 1.38 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,贝宁的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年贝宁为 359.6 夜,苏丹为 278.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 贝宁 | 苏丹 |
|---|---|---|
| 2014 | 333.9 | 242.4 |
| 2013 | 328.9 | 240 |
| 2012 | 332.6 | 242 |
| 2011 | 330.1 | 242.2 |
| 2010 | 329.8 | 240.6 |
| 2009 | 325.2 | 236.5 |
| 2008 | 326.4 | 237.1 |
| 2007 | 325.2 | 236 |
| 2006 | 326.1 | 235.3 |
| 2005 | 324.3 | 233.1 |
| 2004 | 322.7 | 233.5 |
| 2003 | 327.4 | 235.6 |
| 2002 | 324 | 234.7 |
| 2001 | 329.4 | 235.4 |
| 2000 | 322.4 | 230.5 |
| 1999 | 317.9 | 232.1 |
| 1998 | 319.1 | 230.2 |
| 1997 | 320.6 | 231.1 |
| 1996 | 315.5 | 227.3 |
| 1995 | 316.5 | 227.8 |
| 1994 | 314.3 | 225.3 |
| 1993 | 313.5 | 219.1 |
| 1992 | 309.8 | 217.8 |
| 1991 | 316.1 | 227.3 |
| 1990 | 320.6 | 227.5 |
| 1989 | 313.1 | 223 |
| 1988 | 313.6 | 223.1 |
| 1987 | 313.3 | 224.4 |
| 1986 | 317.1 | 226.4 |
| 1985 | 314.6 | 222.1 |
| 1984 | 311.8 | 220.7 |
| 1983 | 308.8 | 217 |
| 1982 | 309.3 | 216.3 |
| 1981 | 314.8 | 223.2 |
| 1980 | 310.2 | 220 |
| 1979 | 311.9 | 218.4 |
| 1978 | 310 | 218.5 |
| 1977 | 314.4 | 219.3 |
| 1976 | 309.1 | 220.1 |
| 1975 | 307.3 | 215.7 |
| 1974 | 307.9 | 217.5 |
| 1973 | 311.8 | 220 |
| 1972 | 310.1 | 217.9 |
| 1971 | 305.9 | 215.5 |
| 1970 | 309.7 | 217 |
| 1969 | 305.9 | 213.1 |
| 1968 | 305.6 | 214 |
| 1967 | 305.6 | 210.3 |
| 1966 | 305.4 | 213.3 |
| 1965 | 306.1 | 213.4 |
| 1964 | 304.6 | 213.2 |
| 1963 | 304.6 | 210.1 |
| 1962 | 311.6 | 217 |
| 1961 | 307.4 | 216.9 |
| 1960 | 312.1 | 221.3 |
| 1959 | 312.4 | 217.8 |
| 1958 | 306.8 | 216.2 |
| 1957 | 311.8 | 218.9 |
| 1956 | 308.2 | 217.2 |
| 1955 | 308.6 | 216.6 |
| 1954 | 311.3 | 218.9 |
| 1953 | 307.4 | 215.1 |
| 1952 | 305.5 | 216.4 |
| 1951 | 309.4 | 218.5 |
| 1950 | 304.7 | 214.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 贝宁 | 苏丹 |
|---|---|---|
| 2015 | 328.6309.6–343.6 | 242.3225.3–258.3 |
| 2016 | 330.8309.8–342.5 | 241.4223.3–254.1 |
| 2017 | 330311.6–342.9 | 243.2223–259.1 |
| 2018 | 331.2315.3–345.2 | 242.3226.4–258.5 |
| 2019 | 328.1308–346.4 | 243.1221.7–260.4 |
| 2020 | 330.1308.7–348.1 | 244.9225.9–261.7 |
| 2021 | 332.7314.3–347.2 | 245.6229.1–261.5 |
| 2022 | 334.9314.5–347.9 | 249230.9–262.3 |
| 2023 | 331.8310.2–346.4 | 247.1226.8–263.1 |
| 2024 | 340.3323.4–351.1 | 251.5232.8–266.1 |
| 2025 | 335315.9–346.3 | 250.7232.4–265.6 |
| 2026 | 335.9313.3–353.1 | 250230.8–266.6 |
| 2027 | 335.8315.2–349.1 | 248.8228.4–265.6 |
| 2028 | 340.1321.3–351.9 | 249232.2–263.1 |
| 2029 | 338.6323.1–350.8 | 251.4232.1–266 |
| 2030 | 339.7321.7–350 | 252235.4–266.7 |
| 2031 | 343.8323.3–354.6 | 253.3234.4–268.9 |
| 2032 | 340.8318.1–351.4 | 250.4232.3–266.6 |
| 2033 | 343.1320.1–354.4 | 254.4235.3–269.4 |
| 2034 | 339.8319.2–352.6 | 254.2234.5–269.9 |
| 2035 | 342.7322–354.2 | 258.3240.2–273.6 |
| 2036 | 341.8320.2–355.2 | 252.8235.6–268.6 |
| 2037 | 344324.8–353.5 | 256.7238.6–271.8 |
| 2038 | 346.6334.6–355.1 | 258.7244.8–272.1 |
| 2039 | 344.5327.1–355.1 | 259.5241.2–272.5 |
| 2040 | 346327.6–355.8 | 256.4236.7–272.3 |
| 2041 | 345.5331.9–357.4 | 259.1241.2–274.5 |
| 2042 | 343.9328.1–358.9 | 258.7242–274.7 |
| 2043 | 345.7326.6–355.4 | 258.1240.3–272.6 |
| 2044 | 347.3329.7–358.8 | 257.3238.6–274.7 |
| 2045 | 342.6328–358.9 | 258.8243.1–276.2 |
| 2046 | 347.9332.2–357.8 | 261.1241.7–277.6 |
| 2047 | 349.6330.6–358.7 | 261.4244.6–278.4 |
| 2048 | 349.8334.6–358.1 | 260.4243.4–279.5 |
| 2049 | 350.7333.4–359.3 | 261.9242.6–275.9 |
| 2050 | 351334–360.2 | 263.5245.4–279 |
| 2051 | 350338.1–359.9 | 263.6246.6–278.8 |
| 2052 | 348.6332.5–359.5 | 263.8248.7–278.3 |
| 2053 | 351.3331.1–359.3 | 262.8242.4–279.2 |
| 2054 | 353.3336.1–360.3 | 266.3246.6–282.9 |
| 2055 | 350.7336.5–359.7 | 265.6245.9–281.4 |
| 2056 | 353.4337.9–362 | 264.1242.6–281.5 |
| 2057 | 355339.4–361.3 | 266.4247.6–283.4 |
| 2058 | 352.5338–360.1 | 265.2247.4–280.3 |
| 2059 | 354.9338.8–361.9 | 268.4249.6–285.4 |
| 2060 | 353.2337.9–360.9 | 263.6246.7–284.4 |
| 2061 | 353.8331.6–362 | 266.9250.1–281.9 |
| 2062 | 353.5334.3–361.4 | 266.4248.5–285 |
| 2063 | 355.1335.9–361.9 | 267.1246.9–283.4 |
| 2064 | 353.9338–363.1 | 269250.7–284.7 |
| 2065 | 355.3343.1–362.4 | 269.8253.9–285.6 |
| 2066 | 352.4339.8–360.1 | 271.4251.9–287.3 |
| 2067 | 355.7336.9–362.9 | 270.9250–288.4 |
| 2068 | 357.5341.2–363.6 | 271.9251.7–289.8 |
| 2069 | 353.4339.4–362.3 | 268251.1–286.2 |
| 2070 | 354.4341–361.7 | 269252.3–285.8 |
| 2071 | 356.4338.9–362.8 | 275.5254.1–290.4 |
| 2072 | 357.8343.2–363.8 | 273.3254.2–289.4 |
| 2073 | 356.1339.2–362.4 | 271.9250.7–287.6 |
| 2074 | 355.1339–362.4 | 270.9249–290.1 |
| 2075 | 356.2344.1–363.5 | 273.1254–291.9 |
| 2076 | 357343.3–362.6 | 272.7255.2–290.9 |
| 2077 | 357.3343.8–363.1 | 274.6255.2–292.7 |
| 2078 | 357.9344.2–363.3 | 274.3255.6–291.2 |
| 2079 | 357.3347.1–362.8 | 272255.2–288.5 |
| 2080 | 358.9344.5–365.3 | 276.6256–292.2 |
| 2081 | 357.1341.4–363.9 | 275.1254.1–294.8 |
| 2082 | 357.1341.9–362.2 | 272.9258.7–288.6 |
| 2083 | 358.4346.7–363.4 | 276.5258–291.7 |
| 2084 | 357.9343.1–364.6 | 275.4253–294.9 |
| 2085 | 359.5346–364.2 | 275.3258.6–291.6 |
| 2086 | 359.2344.3–364.1 | 276.4256.9–296.6 |
| 2087 | 357.6343.8–364.2 | 273.5253.1–293.3 |
| 2088 | 358.5341.9–364.2 | 273.6253.7–293.6 |
| 2089 | 357.1346.7–363.7 | 276.5256.6–293.4 |
| 2090 | 359.7343.6–363.8 | 276.6256.4–294.6 |
| 2091 | 358.6342.2–364.1 | 277.4256.4–296.6 |
| 2092 | 359.3342.5–364.9 | 274.6254.3–294.9 |
| 2093 | 360.3348–364.4 | 278261.9–292.1 |
| 2094 | 359347.2–364.5 | 280.3262.2–294 |
| 2095 | 358.6345.9–364.3 | 277.5262.6–294 |
| 2096 | 359.2344.5–365.5 | 279.7258.7–297 |
| 2097 | 358.4343.3–363.8 | 276.3254.1–297.6 |
| 2098 | 358.2346.2–363.8 | 277.7258.2–295.5 |
| 2099 | 358344.6–363.9 | 276.8257.2–296.2 |
| 2100 | 359.6348.3–364.5 | 278.6259–294.3 |
分别查看各国
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
贝宁与苏丹对比
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军用
- 军费开支贝宁:2025 年为 GDP 的 0.89%苏丹:2021 年为 GDP 的 0.93%
- 军费开支(美元)贝宁:2025 年为 US$2.04亿苏丹:2021 年为 US$27.7亿
- 人均军费开支贝宁:2025 年为 US$15苏丹:2021 年为 US$8
- 军费占政府支出比例贝宁:2025 年为 4.8%(占政府支出)苏丹:2021 年为 9.5%(占政府支出)
- 武装部队人员贝宁:2020 年为 12,000 人苏丹:2020 年为 144,000 人
- 国家实力贝宁:2022 年为 0.07%(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贝宁:2020 年为 0.21%(占劳动力)苏丹:2020 年为 1.34%(占劳动力)
- 武器进口贝宁:2025 年为 400万 TIV苏丹:2025 年为 5700万 TIV