索马里与苏丹对比
索马里与苏丹:热带夜
2014 年热带夜:索马里为 295.2 夜,苏丹为 242.4 夜(CMIP6 气候模型中位数模拟)。 2014 年索马里的数值较高,高出 52.8 夜,是苏丹的 1.22 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,索马里的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年索马里为 328.2 夜,苏丹为 278.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 索马里 | 苏丹 |
|---|---|---|
| 2014 | 295.2 | 242.4 |
| 2013 | 296.8 | 240 |
| 2012 | 296.7 | 242 |
| 2011 | 297.1 | 242.2 |
| 2010 | 294.6 | 240.6 |
| 2009 | 293.5 | 236.5 |
| 2008 | 292.2 | 237.1 |
| 2007 | 293.3 | 236 |
| 2006 | 292.4 | 235.3 |
| 2005 | 292.3 | 233.1 |
| 2004 | 293.8 | 233.5 |
| 2003 | 293.5 | 235.6 |
| 2002 | 292.1 | 234.7 |
| 2001 | 292.4 | 235.4 |
| 2000 | 290.2 | 230.5 |
| 1999 | 288.6 | 232.1 |
| 1998 | 289.9 | 230.2 |
| 1997 | 288.8 | 231.1 |
| 1996 | 285 | 227.3 |
| 1995 | 285.2 | 227.8 |
| 1994 | 284.2 | 225.3 |
| 1993 | 280.2 | 219.1 |
| 1992 | 278.1 | 217.8 |
| 1991 | 286.6 | 227.3 |
| 1990 | 288.5 | 227.5 |
| 1989 | 285.1 | 223 |
| 1988 | 285.6 | 223.1 |
| 1987 | 282.5 | 224.4 |
| 1986 | 283.4 | 226.4 |
| 1985 | 279.6 | 222.1 |
| 1984 | 281.4 | 220.7 |
| 1983 | 277.1 | 217 |
| 1982 | 283.7 | 216.3 |
| 1981 | 282.5 | 223.2 |
| 1980 | 280 | 220 |
| 1979 | 280.4 | 218.4 |
| 1978 | 280.5 | 218.5 |
| 1977 | 282.9 | 219.3 |
| 1976 | 278.7 | 220.1 |
| 1975 | 276.8 | 215.7 |
| 1974 | 279.3 | 217.5 |
| 1973 | 280.8 | 220 |
| 1972 | 278.3 | 217.9 |
| 1971 | 278.2 | 215.5 |
| 1970 | 278.3 | 217 |
| 1969 | 276.8 | 213.1 |
| 1968 | 276.3 | 214 |
| 1967 | 274.3 | 210.3 |
| 1966 | 275.9 | 213.3 |
| 1965 | 275.2 | 213.4 |
| 1964 | 275.1 | 213.2 |
| 1963 | 272.9 | 210.1 |
| 1962 | 277.9 | 217 |
| 1961 | 280.3 | 216.9 |
| 1960 | 280.8 | 221.3 |
| 1959 | 278.8 | 217.8 |
| 1958 | 280.9 | 216.2 |
| 1957 | 280.3 | 218.9 |
| 1956 | 276.1 | 217.2 |
| 1955 | 280.1 | 216.6 |
| 1954 | 278.2 | 218.9 |
| 1953 | 277.2 | 215.1 |
| 1952 | 279.4 | 216.4 |
| 1951 | 279 | 218.5 |
| 1950 | 278.8 | 214.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 索马里 | 苏丹 |
|---|---|---|
| 2015 | 299.3283.7–311 | 242.3225.3–258.3 |
| 2016 | 296.8282.3–308.3 | 241.4223.3–254.1 |
| 2017 | 299.6284.6–310.1 | 243.2223–259.1 |
| 2018 | 301.3287.9–310.2 | 242.3226.4–258.5 |
| 2019 | 299.1286.1–311.9 | 243.1221.7–260.4 |
| 2020 | 299.4285.3–310.3 | 244.9225.9–261.7 |
| 2021 | 302.4289.1–313.6 | 245.6229.1–261.5 |
| 2022 | 304.5289.7–314.6 | 249230.9–262.3 |
| 2023 | 304.1290.6–312.4 | 247.1226.8–263.1 |
| 2024 | 303.4290.1–317 | 251.5232.8–266.1 |
| 2025 | 303.1288.8–317.8 | 250.7232.4–265.6 |
| 2026 | 303.2288.7–315.4 | 250230.8–266.6 |
| 2027 | 303.8287.7–314.9 | 248.8228.4–265.6 |
| 2028 | 305.4291.3–316.8 | 249232.2–263.1 |
| 2029 | 307.8294–317.8 | 251.4232.1–266 |
| 2030 | 304.5289.6–314.9 | 252235.4–266.7 |
| 2031 | 307.4292.3–317.9 | 253.3234.4–268.9 |
| 2032 | 308.3292.4–319.6 | 250.4232.3–266.6 |
| 2033 | 307.2292–317.6 | 254.4235.3–269.4 |
| 2034 | 305.9292.3–321.2 | 254.2234.5–269.9 |
| 2035 | 308.7293.4–321.1 | 258.3240.2–273.6 |
| 2036 | 307.5295.4–317.7 | 252.8235.6–268.6 |
| 2037 | 310.1298.4–319.9 | 256.7238.6–271.8 |
| 2038 | 311.1296.4–323.2 | 258.7244.8–272.1 |
| 2039 | 308.6295.9–321.9 | 259.5241.2–272.5 |
| 2040 | 311.7295.9–324.2 | 256.4236.7–272.3 |
| 2041 | 312296.6–321.5 | 259.1241.2–274.5 |
| 2042 | 311.7295–325.7 | 258.7242–274.7 |
| 2043 | 312298–323.1 | 258.1240.3–272.6 |
| 2044 | 311.4297.3–323 | 257.3238.6–274.7 |
| 2045 | 312.3298.6–323 | 258.8243.1–276.2 |
| 2046 | 314.4299–327.7 | 261.1241.7–277.6 |
| 2047 | 315.8300.2–327.9 | 261.4244.6–278.4 |
| 2048 | 316.9302.8–327.5 | 260.4243.4–279.5 |
| 2049 | 314.9303.2–325.2 | 261.9242.6–275.9 |
| 2050 | 315.9300.6–324.5 | 263.5245.4–279 |
| 2051 | 314.9301.9–326.9 | 263.6246.6–278.8 |
| 2052 | 316.2301.6–329 | 263.8248.7–278.3 |
| 2053 | 314.8302.3–326.8 | 262.8242.4–279.2 |
| 2054 | 316.2301.5–330.1 | 266.3246.6–282.9 |
| 2055 | 317.4302.7–327.8 | 265.6245.9–281.4 |
| 2056 | 316.5302.9–332.3 | 264.1242.6–281.5 |
| 2057 | 316.8302.5–329.8 | 266.4247.6–283.4 |
| 2058 | 316.9300.7–330.9 | 265.2247.4–280.3 |
| 2059 | 320.8305.2–332.5 | 268.4249.6–285.4 |
| 2060 | 321.3305.7–331.9 | 263.6246.7–284.4 |
| 2061 | 317.8304.8–330.3 | 266.9250.1–281.9 |
| 2062 | 319.6304.3–336 | 266.4248.5–285 |
| 2063 | 320.9305.3–332 | 267.1246.9–283.4 |
| 2064 | 319.7306.8–330.5 | 269250.7–284.7 |
| 2065 | 318.3304.6–334.6 | 269.8253.9–285.6 |
| 2066 | 321307.9–333.9 | 271.4251.9–287.3 |
| 2067 | 320.5304.3–334.4 | 270.9250–288.4 |
| 2068 | 321.7305.6–336.3 | 271.9251.7–289.8 |
| 2069 | 322.3308.6–335.4 | 268251.1–286.2 |
| 2070 | 321.1305.3–335.6 | 269252.3–285.8 |
| 2071 | 324.5308.4–336.9 | 275.5254.1–290.4 |
| 2072 | 324.1308.2–334.1 | 273.3254.2–289.4 |
| 2073 | 323.7308.1–337.9 | 271.9250.7–287.6 |
| 2074 | 322306–334.6 | 270.9249–290.1 |
| 2075 | 323.6307.6–336.4 | 273.1254–291.9 |
| 2076 | 323.6309–333.3 | 272.7255.2–290.9 |
| 2077 | 324.2309.6–335.9 | 274.6255.2–292.7 |
| 2078 | 324.7310.1–333.7 | 274.3255.6–291.2 |
| 2079 | 323.2307.6–336.3 | 272255.2–288.5 |
| 2080 | 324.7310.6–337.8 | 276.6256–292.2 |
| 2081 | 323.2311.1–335.3 | 275.1254.1–294.8 |
| 2082 | 324.3309.4–336.4 | 272.9258.7–288.6 |
| 2083 | 323.6308.3–342.4 | 276.5258–291.7 |
| 2084 | 326.2309.4–337.5 | 275.4253–294.9 |
| 2085 | 327.7311.9–339.4 | 275.3258.6–291.6 |
| 2086 | 326.6311.1–340.2 | 276.4256.9–296.6 |
| 2087 | 327.3311.5–339.1 | 273.5253.1–293.3 |
| 2088 | 328.6308.2–341.6 | 273.6253.7–293.6 |
| 2089 | 326.7312–340.2 | 276.5256.6–293.4 |
| 2090 | 326.5311.7–339.5 | 276.6256.4–294.6 |
| 2091 | 328.6311.5–340.9 | 277.4256.4–296.6 |
| 2092 | 329.1312.2–341.8 | 274.6254.3–294.9 |
| 2093 | 327.3312.1–342.8 | 278261.9–292.1 |
| 2094 | 325.6312–336.2 | 280.3262.2–294 |
| 2095 | 329314–341.2 | 277.5262.6–294 |
| 2096 | 327.9311.6–341.9 | 279.7258.7–297 |
| 2097 | 325.6311–340 | 276.3254.1–297.6 |
| 2098 | 327.7311.4–341.1 | 277.7258.2–295.5 |
| 2099 | 327.3311.9–339.3 | 276.8257.2–296.2 |
| 2100 | 328.2313.4–341.2 | 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
索马里与苏丹对比
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冲突
军用
- 军费开支索马里:2025 年为 GDP 的 1.54%苏丹:2021 年为 GDP 的 0.93%
- 军费开支(美元)索马里:2025 年为 US$1.93亿苏丹:2021 年为 US$27.7亿
- 人均军费开支索马里:2025 年为 US$10苏丹:2021 年为 US$8
- 军费占政府支出比例索马里:2025 年为 20.8%(占政府支出)苏丹:2021 年为 9.5%(占政府支出)
- 武装部队人员索马里:2020 年为 14,000 人苏丹:2020 年为 144,000 人
- 国家实力索马里:2022 年为 0.13%(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索马里:2020 年为 0.47%(占劳动力)苏丹:2020 年为 1.34%(占劳动力)
- 武器进口索马里:2025 年为 200万 TIV苏丹:2025 年为 5700万 TIV