塞内加尔与苏丹对比
塞内加尔与苏丹:热带夜
2014 年热带夜:塞内加尔为 302.1 夜,苏丹为 242.4 夜(CMIP6 气候模型中位数模拟)。 2014 年塞内加尔的数值较高,高出 59.7 夜,是苏丹的 1.25 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,塞内加尔的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年塞内加尔为 347.3 夜,苏丹为 278.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 塞内加尔 | 苏丹 |
|---|---|---|
| 2014 | 302.1 | 242.4 |
| 2013 | 300.9 | 240 |
| 2012 | 304.1 | 242 |
| 2011 | 302.1 | 242.2 |
| 2010 | 301.5 | 240.6 |
| 2009 | 302.1 | 236.5 |
| 2008 | 298.3 | 237.1 |
| 2007 | 298.5 | 236 |
| 2006 | 298.6 | 235.3 |
| 2005 | 298.1 | 233.1 |
| 2004 | 294.7 | 233.5 |
| 2003 | 296.1 | 235.6 |
| 2002 | 296 | 234.7 |
| 2001 | 298.9 | 235.4 |
| 2000 | 295 | 230.5 |
| 1999 | 293.2 | 232.1 |
| 1998 | 292.5 | 230.2 |
| 1997 | 288.5 | 231.1 |
| 1996 | 285.1 | 227.3 |
| 1995 | 285.9 | 227.8 |
| 1994 | 283.7 | 225.3 |
| 1993 | 282 | 219.1 |
| 1992 | 277.6 | 217.8 |
| 1991 | 286.7 | 227.3 |
| 1990 | 292.5 | 227.5 |
| 1989 | 282.1 | 223 |
| 1988 | 282.4 | 223.1 |
| 1987 | 281.8 | 224.4 |
| 1986 | 283 | 226.4 |
| 1985 | 278.1 | 222.1 |
| 1984 | 274.6 | 220.7 |
| 1983 | 276.3 | 217 |
| 1982 | 281.3 | 216.3 |
| 1981 | 277.9 | 223.2 |
| 1980 | 277.6 | 220 |
| 1979 | 281 | 218.4 |
| 1978 | 280.7 | 218.5 |
| 1977 | 278 | 219.3 |
| 1976 | 274.4 | 220.1 |
| 1975 | 278.4 | 215.7 |
| 1974 | 273.8 | 217.5 |
| 1973 | 274.5 | 220 |
| 1972 | 273.5 | 217.9 |
| 1971 | 273.4 | 215.5 |
| 1970 | 271.3 | 217 |
| 1969 | 271.6 | 213.1 |
| 1968 | 272.6 | 214 |
| 1967 | 275.4 | 210.3 |
| 1966 | 273.3 | 213.3 |
| 1965 | 272.8 | 213.4 |
| 1964 | 271.8 | 213.2 |
| 1963 | 272.8 | 210.1 |
| 1962 | 280.2 | 217 |
| 1961 | 276.9 | 216.9 |
| 1960 | 279.2 | 221.3 |
| 1959 | 277.4 | 217.8 |
| 1958 | 278.8 | 216.2 |
| 1957 | 274.4 | 218.9 |
| 1956 | 273.2 | 217.2 |
| 1955 | 273.4 | 216.6 |
| 1954 | 275 | 218.9 |
| 1953 | 271.7 | 215.1 |
| 1952 | 271 | 216.4 |
| 1951 | 272.9 | 218.5 |
| 1950 | 270.8 | 214.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 塞内加尔 | 苏丹 |
|---|---|---|
| 2015 | 298.9275.9–321 | 242.3225.3–258.3 |
| 2016 | 302.7276.5–319 | 241.4223.3–254.1 |
| 2017 | 302.9285.4–318.6 | 243.2223–259.1 |
| 2018 | 305.6289.2–321.5 | 242.3226.4–258.5 |
| 2019 | 307.6280.6–328.1 | 243.1221.7–260.4 |
| 2020 | 305.2276.2–322.9 | 244.9225.9–261.7 |
| 2021 | 307.6286–325.6 | 245.6229.1–261.5 |
| 2022 | 312.9289.6–334.3 | 249230.9–262.3 |
| 2023 | 307.5292.2–328.6 | 247.1226.8–263.1 |
| 2024 | 313.2294.6–326.9 | 251.5232.8–266.1 |
| 2025 | 311.8289–329.4 | 250.7232.4–265.6 |
| 2026 | 308.3285.2–328.6 | 250230.8–266.6 |
| 2027 | 310.7287.8–330 | 248.8228.4–265.6 |
| 2028 | 316.3289.2–331.6 | 249232.2–263.1 |
| 2029 | 315.7291.2–334.2 | 251.4232.1–266 |
| 2030 | 311.5289.1–329.1 | 252235.4–266.7 |
| 2031 | 318.8296.3–335 | 253.3234.4–268.9 |
| 2032 | 316295.7–332.4 | 250.4232.3–266.6 |
| 2033 | 316.7289.6–336.4 | 254.4235.3–269.4 |
| 2034 | 315.4291.6–335.1 | 254.2234.5–269.9 |
| 2035 | 316.8291.1–335.3 | 258.3240.2–273.6 |
| 2036 | 320.8298.5–335.3 | 252.8235.6–268.6 |
| 2037 | 324.5303.1–337.7 | 256.7238.6–271.8 |
| 2038 | 323.5304.2–339.7 | 258.7244.8–272.1 |
| 2039 | 323.3300.9–337 | 259.5241.2–272.5 |
| 2040 | 322.4298.9–339.5 | 256.4236.7–272.3 |
| 2041 | 320.2300.1–343.6 | 259.1241.2–274.5 |
| 2042 | 320302.1–339.9 | 258.7242–274.7 |
| 2043 | 320.4303.7–340.4 | 258.1240.3–272.6 |
| 2044 | 326.9301.5–340.9 | 257.3238.6–274.7 |
| 2045 | 324.1304.1–340 | 258.8243.1–276.2 |
| 2046 | 325.9304.7–340.6 | 261.1241.7–277.6 |
| 2047 | 329301.4–347 | 261.4244.6–278.4 |
| 2048 | 331.1314.3–344.8 | 260.4243.4–279.5 |
| 2049 | 331.3308.3–343.7 | 261.9242.6–275.9 |
| 2050 | 327.6306.5–341.9 | 263.5245.4–279 |
| 2051 | 328307.1–344 | 263.6246.6–278.8 |
| 2052 | 325.4308.1–344.2 | 263.8248.7–278.3 |
| 2053 | 331.8304.9–347.2 | 262.8242.4–279.2 |
| 2054 | 330.1310.8–345.2 | 266.3246.6–282.9 |
| 2055 | 330.1305.5–344 | 265.6245.9–281.4 |
| 2056 | 331.4307.4–349.8 | 264.1242.6–281.5 |
| 2057 | 337306.4–351.5 | 266.4247.6–283.4 |
| 2058 | 333313.2–350.2 | 265.2247.4–280.3 |
| 2059 | 334315.6–353.5 | 268.4249.6–285.4 |
| 2060 | 334.5316.4–351.1 | 263.6246.7–284.4 |
| 2061 | 333.7307.5–352.9 | 266.9250.1–281.9 |
| 2062 | 333.3312.4–350.2 | 266.4248.5–285 |
| 2063 | 335.4313.2–352.8 | 267.1246.9–283.4 |
| 2064 | 335.4307.1–351.1 | 269250.7–284.7 |
| 2065 | 334.8314.1–352.8 | 269.8253.9–285.6 |
| 2066 | 337.3312.9–351 | 271.4251.9–287.3 |
| 2067 | 335.5309.9–349.9 | 270.9250–288.4 |
| 2068 | 335.5313.5–354 | 271.9251.7–289.8 |
| 2069 | 336.1316.9–351.8 | 268251.1–286.2 |
| 2070 | 333.3312.9–352.9 | 269252.3–285.8 |
| 2071 | 335.7321.1–351.9 | 275.5254.1–290.4 |
| 2072 | 342.3321–354.6 | 273.3254.2–289.4 |
| 2073 | 339.4320.1–356.1 | 271.9250.7–287.6 |
| 2074 | 335.9317.1–351.8 | 270.9249–290.1 |
| 2075 | 338.4320.7–354.1 | 273.1254–291.9 |
| 2076 | 338.7321.9–352 | 272.7255.2–290.9 |
| 2077 | 342.8314.8–357.3 | 274.6255.2–292.7 |
| 2078 | 343325.8–355.4 | 274.3255.6–291.2 |
| 2079 | 341.2322.3–357.6 | 272255.2–288.5 |
| 2080 | 340.9317.7–358.1 | 276.6256–292.2 |
| 2081 | 339.8315.5–357.1 | 275.1254.1–294.8 |
| 2082 | 341.6316.4–354.9 | 272.9258.7–288.6 |
| 2083 | 340.8324.8–356.9 | 276.5258–291.7 |
| 2084 | 340.4322.8–354.9 | 275.4253–294.9 |
| 2085 | 346.8325.6–357 | 275.3258.6–291.6 |
| 2086 | 341.7324.4–357.6 | 276.4256.9–296.6 |
| 2087 | 343.9325.9–357.7 | 273.5253.1–293.3 |
| 2088 | 341.5321.6–358.2 | 273.6253.7–293.6 |
| 2089 | 343.2324.3–355.2 | 276.5256.6–293.4 |
| 2090 | 342320.6–356 | 276.6256.4–294.6 |
| 2091 | 341.7319.8–356.4 | 277.4256.4–296.6 |
| 2092 | 339.7318.4–357.7 | 274.6254.3–294.9 |
| 2093 | 345326.8–356.4 | 278261.9–292.1 |
| 2094 | 344.4324.3–357.6 | 280.3262.2–294 |
| 2095 | 346.3320.6–359.4 | 277.5262.6–294 |
| 2096 | 344.4323.1–359.2 | 279.7258.7–297 |
| 2097 | 341.4321.3–353.8 | 276.3254.1–297.6 |
| 2098 | 345322.3–357 | 277.7258.2–295.5 |
| 2099 | 344.6322.7–357.5 | 276.8257.2–296.2 |
| 2100 | 347.3323.6–359.2 | 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
塞内加尔与苏丹对比
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冲突
军用
- 军费开支塞内加尔:2025 年为 GDP 的 1.56%苏丹:2021 年为 GDP 的 0.93%
- 军费开支(美元)塞内加尔:2025 年为 US$5.33亿苏丹:2021 年为 US$27.7亿
- 人均军费开支塞内加尔:2025 年为 US$30苏丹:2021 年为 US$8
- 军费占政府支出比例塞内加尔:2025 年为 5.2%(占政府支出)苏丹:2021 年为 9.5%(占政府支出)
- 武装部队人员塞内加尔:2020 年为 19,000 人苏丹:2020 年为 144,000 人
- 国家实力塞内加尔:2022 年为 0.1%(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塞内加尔:2020 年为 0.37%(占劳动力)苏丹:2020 年为 1.34%(占劳动力)
- 武器进口塞内加尔:2024 年为 7900万 TIV苏丹:2025 年为 5700万 TIV
- 武器出口塞内加尔:1976 年为 300万 TIV苏丹:2013 年为 1100万 TIV