塞内加尔与索马里对比
塞内加尔与索马里:热带夜
2014 年热带夜:塞内加尔为 302.1 夜,索马里为 295.2 夜(CMIP6 气候模型中位数模拟)。 2014 年塞内加尔的数值较高,高出 6.9 夜,是索马里的 1.02 倍。
每年夜数 · CMIP6
数据解读
- 自 1998 年超过索马里以来,塞内加尔的数值一直更高。
- 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,索马里为 328.2 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 塞内加尔 | 索马里 |
|---|---|---|
| 2014 | 302.1 | 295.2 |
| 2013 | 300.9 | 296.8 |
| 2012 | 304.1 | 296.7 |
| 2011 | 302.1 | 297.1 |
| 2010 | 301.5 | 294.6 |
| 2009 | 302.1 | 293.5 |
| 2008 | 298.3 | 292.2 |
| 2007 | 298.5 | 293.3 |
| 2006 | 298.6 | 292.4 |
| 2005 | 298.1 | 292.3 |
| 2004 | 294.7 | 293.8 |
| 2003 | 296.1 | 293.5 |
| 2002 | 296 | 292.1 |
| 2001 | 298.9 | 292.4 |
| 2000 | 295 | 290.2 |
| 1999 | 293.2 | 288.6 |
| 1998 | 292.5 | 289.9 |
| 1997 | 288.5 | 288.8 |
| 1996 | 285.1 | 285 |
| 1995 | 285.9 | 285.2 |
| 1994 | 283.7 | 284.2 |
| 1993 | 282 | 280.2 |
| 1992 | 277.6 | 278.1 |
| 1991 | 286.7 | 286.6 |
| 1990 | 292.5 | 288.5 |
| 1989 | 282.1 | 285.1 |
| 1988 | 282.4 | 285.6 |
| 1987 | 281.8 | 282.5 |
| 1986 | 283 | 283.4 |
| 1985 | 278.1 | 279.6 |
| 1984 | 274.6 | 281.4 |
| 1983 | 276.3 | 277.1 |
| 1982 | 281.3 | 283.7 |
| 1981 | 277.9 | 282.5 |
| 1980 | 277.6 | 280 |
| 1979 | 281 | 280.4 |
| 1978 | 280.7 | 280.5 |
| 1977 | 278 | 282.9 |
| 1976 | 274.4 | 278.7 |
| 1975 | 278.4 | 276.8 |
| 1974 | 273.8 | 279.3 |
| 1973 | 274.5 | 280.8 |
| 1972 | 273.5 | 278.3 |
| 1971 | 273.4 | 278.2 |
| 1970 | 271.3 | 278.3 |
| 1969 | 271.6 | 276.8 |
| 1968 | 272.6 | 276.3 |
| 1967 | 275.4 | 274.3 |
| 1966 | 273.3 | 275.9 |
| 1965 | 272.8 | 275.2 |
| 1964 | 271.8 | 275.1 |
| 1963 | 272.8 | 272.9 |
| 1962 | 280.2 | 277.9 |
| 1961 | 276.9 | 280.3 |
| 1960 | 279.2 | 280.8 |
| 1959 | 277.4 | 278.8 |
| 1958 | 278.8 | 280.9 |
| 1957 | 274.4 | 280.3 |
| 1956 | 273.2 | 276.1 |
| 1955 | 273.4 | 280.1 |
| 1954 | 275 | 278.2 |
| 1953 | 271.7 | 277.2 |
| 1952 | 271 | 279.4 |
| 1951 | 272.9 | 279 |
| 1950 | 270.8 | 278.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 塞内加尔 | 索马里 |
|---|---|---|
| 2015 | 298.9275.9–321 | 299.3283.7–311 |
| 2016 | 302.7276.5–319 | 296.8282.3–308.3 |
| 2017 | 302.9285.4–318.6 | 299.6284.6–310.1 |
| 2018 | 305.6289.2–321.5 | 301.3287.9–310.2 |
| 2019 | 307.6280.6–328.1 | 299.1286.1–311.9 |
| 2020 | 305.2276.2–322.9 | 299.4285.3–310.3 |
| 2021 | 307.6286–325.6 | 302.4289.1–313.6 |
| 2022 | 312.9289.6–334.3 | 304.5289.7–314.6 |
| 2023 | 307.5292.2–328.6 | 304.1290.6–312.4 |
| 2024 | 313.2294.6–326.9 | 303.4290.1–317 |
| 2025 | 311.8289–329.4 | 303.1288.8–317.8 |
| 2026 | 308.3285.2–328.6 | 303.2288.7–315.4 |
| 2027 | 310.7287.8–330 | 303.8287.7–314.9 |
| 2028 | 316.3289.2–331.6 | 305.4291.3–316.8 |
| 2029 | 315.7291.2–334.2 | 307.8294–317.8 |
| 2030 | 311.5289.1–329.1 | 304.5289.6–314.9 |
| 2031 | 318.8296.3–335 | 307.4292.3–317.9 |
| 2032 | 316295.7–332.4 | 308.3292.4–319.6 |
| 2033 | 316.7289.6–336.4 | 307.2292–317.6 |
| 2034 | 315.4291.6–335.1 | 305.9292.3–321.2 |
| 2035 | 316.8291.1–335.3 | 308.7293.4–321.1 |
| 2036 | 320.8298.5–335.3 | 307.5295.4–317.7 |
| 2037 | 324.5303.1–337.7 | 310.1298.4–319.9 |
| 2038 | 323.5304.2–339.7 | 311.1296.4–323.2 |
| 2039 | 323.3300.9–337 | 308.6295.9–321.9 |
| 2040 | 322.4298.9–339.5 | 311.7295.9–324.2 |
| 2041 | 320.2300.1–343.6 | 312296.6–321.5 |
| 2042 | 320302.1–339.9 | 311.7295–325.7 |
| 2043 | 320.4303.7–340.4 | 312298–323.1 |
| 2044 | 326.9301.5–340.9 | 311.4297.3–323 |
| 2045 | 324.1304.1–340 | 312.3298.6–323 |
| 2046 | 325.9304.7–340.6 | 314.4299–327.7 |
| 2047 | 329301.4–347 | 315.8300.2–327.9 |
| 2048 | 331.1314.3–344.8 | 316.9302.8–327.5 |
| 2049 | 331.3308.3–343.7 | 314.9303.2–325.2 |
| 2050 | 327.6306.5–341.9 | 315.9300.6–324.5 |
| 2051 | 328307.1–344 | 314.9301.9–326.9 |
| 2052 | 325.4308.1–344.2 | 316.2301.6–329 |
| 2053 | 331.8304.9–347.2 | 314.8302.3–326.8 |
| 2054 | 330.1310.8–345.2 | 316.2301.5–330.1 |
| 2055 | 330.1305.5–344 | 317.4302.7–327.8 |
| 2056 | 331.4307.4–349.8 | 316.5302.9–332.3 |
| 2057 | 337306.4–351.5 | 316.8302.5–329.8 |
| 2058 | 333313.2–350.2 | 316.9300.7–330.9 |
| 2059 | 334315.6–353.5 | 320.8305.2–332.5 |
| 2060 | 334.5316.4–351.1 | 321.3305.7–331.9 |
| 2061 | 333.7307.5–352.9 | 317.8304.8–330.3 |
| 2062 | 333.3312.4–350.2 | 319.6304.3–336 |
| 2063 | 335.4313.2–352.8 | 320.9305.3–332 |
| 2064 | 335.4307.1–351.1 | 319.7306.8–330.5 |
| 2065 | 334.8314.1–352.8 | 318.3304.6–334.6 |
| 2066 | 337.3312.9–351 | 321307.9–333.9 |
| 2067 | 335.5309.9–349.9 | 320.5304.3–334.4 |
| 2068 | 335.5313.5–354 | 321.7305.6–336.3 |
| 2069 | 336.1316.9–351.8 | 322.3308.6–335.4 |
| 2070 | 333.3312.9–352.9 | 321.1305.3–335.6 |
| 2071 | 335.7321.1–351.9 | 324.5308.4–336.9 |
| 2072 | 342.3321–354.6 | 324.1308.2–334.1 |
| 2073 | 339.4320.1–356.1 | 323.7308.1–337.9 |
| 2074 | 335.9317.1–351.8 | 322306–334.6 |
| 2075 | 338.4320.7–354.1 | 323.6307.6–336.4 |
| 2076 | 338.7321.9–352 | 323.6309–333.3 |
| 2077 | 342.8314.8–357.3 | 324.2309.6–335.9 |
| 2078 | 343325.8–355.4 | 324.7310.1–333.7 |
| 2079 | 341.2322.3–357.6 | 323.2307.6–336.3 |
| 2080 | 340.9317.7–358.1 | 324.7310.6–337.8 |
| 2081 | 339.8315.5–357.1 | 323.2311.1–335.3 |
| 2082 | 341.6316.4–354.9 | 324.3309.4–336.4 |
| 2083 | 340.8324.8–356.9 | 323.6308.3–342.4 |
| 2084 | 340.4322.8–354.9 | 326.2309.4–337.5 |
| 2085 | 346.8325.6–357 | 327.7311.9–339.4 |
| 2086 | 341.7324.4–357.6 | 326.6311.1–340.2 |
| 2087 | 343.9325.9–357.7 | 327.3311.5–339.1 |
| 2088 | 341.5321.6–358.2 | 328.6308.2–341.6 |
| 2089 | 343.2324.3–355.2 | 326.7312–340.2 |
| 2090 | 342320.6–356 | 326.5311.7–339.5 |
| 2091 | 341.7319.8–356.4 | 328.6311.5–340.9 |
| 2092 | 339.7318.4–357.7 | 329.1312.2–341.8 |
| 2093 | 345326.8–356.4 | 327.3312.1–342.8 |
| 2094 | 344.4324.3–357.6 | 325.6312–336.2 |
| 2095 | 346.3320.6–359.4 | 329314–341.2 |
| 2096 | 344.4323.1–359.2 | 327.9311.6–341.9 |
| 2097 | 341.4321.3–353.8 | 325.6311–340 |
| 2098 | 345322.3–357 | 327.7311.4–341.1 |
| 2099 | 344.6322.7–357.5 | 327.3311.9–339.3 |
| 2100 | 347.3323.6–359.2 | 328.2313.4–341.2 |
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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
塞内加尔与索马里对比
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冲突
军用
- 军费开支塞内加尔:2025 年为 GDP 的 1.56%索马里:2025 年为 GDP 的 1.54%
- 军费开支(美元)塞内加尔:2025 年为 US$5.33亿索马里:2025 年为 US$1.93亿
- 人均军费开支塞内加尔:2025 年为 US$30索马里:2025 年为 US$10
- 军费占政府支出比例塞内加尔:2025 年为 5.2%(占政府支出)索马里:2025 年为 20.8%(占政府支出)
- 武装部队人员塞内加尔:2020 年为 19,000 人索马里:2020 年为 14,000 人
- 国家实力塞内加尔:2022 年为 0.1%(占全球实力)索马里:2022 年为 0.13%(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)索马里:2020 年为 0.47%(占劳动力)
- 武器进口塞内加尔:2024 年为 7900万 TIV索马里:2025 年为 200万 TIV