索马里与津巴布韦对比
索马里与津巴布韦:热带夜
2014 年热带夜:索马里为 295.2 夜,津巴布韦为 76.4 夜(CMIP6 气候模型中位数模拟)。 2014 年索马里的数值较高,高出 218.8 夜,是津巴布韦的 3.87 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,津巴布韦为 148.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 索马里 | 津巴布韦 |
|---|---|---|
| 2014 | 295.2 | 76.4 |
| 2013 | 296.8 | 78.4 |
| 2012 | 296.7 | 75.9 |
| 2011 | 297.1 | 73.3 |
| 2010 | 294.6 | 71.5 |
| 2009 | 293.5 | 69.6 |
| 2008 | 292.2 | 69.8 |
| 2007 | 293.3 | 69.3 |
| 2006 | 292.4 | 70.3 |
| 2005 | 292.3 | 69.5 |
| 2004 | 293.8 | 71.8 |
| 2003 | 293.5 | 72.9 |
| 2002 | 292.1 | 71.3 |
| 2001 | 292.4 | 71.3 |
| 2000 | 290.2 | 67.4 |
| 1999 | 288.6 | 62.3 |
| 1998 | 289.9 | 66.3 |
| 1997 | 288.8 | 62 |
| 1996 | 285 | 57.7 |
| 1995 | 285.2 | 58.9 |
| 1994 | 284.2 | 56.8 |
| 1993 | 280.2 | 50.1 |
| 1992 | 278.1 | 52.1 |
| 1991 | 286.6 | 58.7 |
| 1990 | 288.5 | 61.5 |
| 1989 | 285.1 | 60.4 |
| 1988 | 285.6 | 61.6 |
| 1987 | 282.5 | 57.3 |
| 1986 | 283.4 | 58.6 |
| 1985 | 279.6 | 54.1 |
| 1984 | 281.4 | 54.6 |
| 1983 | 277.1 | 53.3 |
| 1982 | 283.7 | 53.7 |
| 1981 | 282.5 | 57 |
| 1980 | 280 | 57.3 |
| 1979 | 280.4 | 56.2 |
| 1978 | 280.5 | 53.1 |
| 1977 | 282.9 | 55.2 |
| 1976 | 278.7 | 51.2 |
| 1975 | 276.8 | 53.6 |
| 1974 | 279.3 | 54.2 |
| 1973 | 280.8 | 53.9 |
| 1972 | 278.3 | 53.2 |
| 1971 | 278.2 | 51.1 |
| 1970 | 278.3 | 53.1 |
| 1969 | 276.8 | 53.3 |
| 1968 | 276.3 | 48.7 |
| 1967 | 274.3 | 48.7 |
| 1966 | 275.9 | 48.8 |
| 1965 | 275.2 | 48.6 |
| 1964 | 275.1 | 44.6 |
| 1963 | 272.9 | 47.4 |
| 1962 | 277.9 | 55.8 |
| 1961 | 280.3 | 51.6 |
| 1960 | 280.8 | 55.6 |
| 1959 | 278.8 | 53.6 |
| 1958 | 280.9 | 55.3 |
| 1957 | 280.3 | 53.2 |
| 1956 | 276.1 | 48.6 |
| 1955 | 280.1 | 54.4 |
| 1954 | 278.2 | 53 |
| 1953 | 277.2 | 51.8 |
| 1952 | 279.4 | 52.7 |
| 1951 | 279 | 52.3 |
| 1950 | 278.8 | 51.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 索马里 | 津巴布韦 |
|---|---|---|
| 2015 | 299.3283.7–311 | 79.463.5–98.5 |
| 2016 | 296.8282.3–308.3 | 78.657.9–101.7 |
| 2017 | 299.6284.6–310.1 | 81.263.3–98.5 |
| 2018 | 301.3287.9–310.2 | 82.160.5–104.1 |
| 2019 | 299.1286.1–311.9 | 82.863.9–102.3 |
| 2020 | 299.4285.3–310.3 | 84.362.9–106.9 |
| 2021 | 302.4289.1–313.6 | 82.564.7–102.7 |
| 2022 | 304.5289.7–314.6 | 89.870.1–108.8 |
| 2023 | 304.1290.6–312.4 | 90.672.5–110.7 |
| 2024 | 303.4290.1–317 | 93.769.8–113.4 |
| 2025 | 303.1288.8–317.8 | 8865.1–114.6 |
| 2026 | 303.2288.7–315.4 | 89.767.8–113.9 |
| 2027 | 303.8287.7–314.9 | 95.668.4–119.6 |
| 2028 | 305.4291.3–316.8 | 93.371.4–115.7 |
| 2029 | 307.8294–317.8 | 100.277.2–120 |
| 2030 | 304.5289.6–314.9 | 9671.6–115.3 |
| 2031 | 307.4292.3–317.9 | 9874.9–119.8 |
| 2032 | 308.3292.4–319.6 | 98.574.7–118.5 |
| 2033 | 307.2292–317.6 | 98.974–120.6 |
| 2034 | 305.9292.3–321.2 | 100.277.3–128.1 |
| 2035 | 308.7293.4–321.1 | 103.975.7–130.6 |
| 2036 | 307.5295.4–317.7 | 100.878–123 |
| 2037 | 310.1298.4–319.9 | 10882.1–131.1 |
| 2038 | 311.1296.4–323.2 | 110.986.5–135 |
| 2039 | 308.6295.9–321.9 | 102.480.4–122.3 |
| 2040 | 311.7295.9–324.2 | 101.379.5–133.5 |
| 2041 | 312296.6–321.5 | 108.483.7–134.2 |
| 2042 | 311.7295–325.7 | 108.883.1–139.9 |
| 2043 | 312298–323.1 | 107.985.7–137.3 |
| 2044 | 311.4297.3–323 | 111.287–134.8 |
| 2045 | 312.3298.6–323 | 106.186.2–130.7 |
| 2046 | 314.4299–327.7 | 112.386.4–139.1 |
| 2047 | 315.8300.2–327.9 | 119.692.1–145.9 |
| 2048 | 316.9302.8–327.5 | 116.888.4–143.9 |
| 2049 | 314.9303.2–325.2 | 119.290.4–146.2 |
| 2050 | 315.9300.6–324.5 | 122.794.1–148.6 |
| 2051 | 314.9301.9–326.9 | 122.4100.9–147.7 |
| 2052 | 316.2301.6–329 | 124.2101.3–152.8 |
| 2053 | 314.8302.3–326.8 | 121.689–146.9 |
| 2054 | 316.2301.5–330.1 | 123.993.9–150.8 |
| 2055 | 317.4302.7–327.8 | 126.597.9–153.7 |
| 2056 | 316.5302.9–332.3 | 126.198–154.7 |
| 2057 | 316.8302.5–329.8 | 122.797.6–150.7 |
| 2058 | 316.9300.7–330.9 | 125.3103–154.1 |
| 2059 | 320.8305.2–332.5 | 132.2107.4–157.4 |
| 2060 | 321.3305.7–331.9 | 132.599.9–159 |
| 2061 | 317.8304.8–330.3 | 126.694.2–161.1 |
| 2062 | 319.6304.3–336 | 126.399.6–157.3 |
| 2063 | 320.9305.3–332 | 127.7101–159.7 |
| 2064 | 319.7306.8–330.5 | 130.498–151.3 |
| 2065 | 318.3304.6–334.6 | 132.4107.6–165.6 |
| 2066 | 321307.9–333.9 | 134.5106.8–159.8 |
| 2067 | 320.5304.3–334.4 | 125.598.9–160.5 |
| 2068 | 321.7305.6–336.3 | 134102.3–166.1 |
| 2069 | 322.3308.6–335.4 | 136.9106.4–164.2 |
| 2070 | 321.1305.3–335.6 | 133.199.8–166.3 |
| 2071 | 324.5308.4–336.9 | 135.2108.4–173.7 |
| 2072 | 324.1308.2–334.1 | 140.4110.6–166.8 |
| 2073 | 323.7308.1–337.9 | 140.9109.7–173.6 |
| 2074 | 322306–334.6 | 135.5112–170.6 |
| 2075 | 323.6307.6–336.4 | 136108.5–166.6 |
| 2076 | 323.6309–333.3 | 133.7105.9–163.7 |
| 2077 | 324.2309.6–335.9 | 140.2114.3–170.6 |
| 2078 | 324.7310.1–333.7 | 137.5111.3–172.3 |
| 2079 | 323.2307.6–336.3 | 136.9110.2–172.6 |
| 2080 | 324.7310.6–337.8 | 145115.8–173.2 |
| 2081 | 323.2311.1–335.3 | 147.2106.5–174.1 |
| 2082 | 324.3309.4–336.4 | 141.4111.4–169.9 |
| 2083 | 323.6308.3–342.4 | 143.6106.5–179.2 |
| 2084 | 326.2309.4–337.5 | 149.4117.3–176.9 |
| 2085 | 327.7311.9–339.4 | 154.3114.9–182.7 |
| 2086 | 326.6311.1–340.2 | 141.7115.3–176.1 |
| 2087 | 327.3311.5–339.1 | 142.7116.8–177.3 |
| 2088 | 328.6308.2–341.6 | 150.2118.3–178.9 |
| 2089 | 326.7312–340.2 | 148.9121.3–176.4 |
| 2090 | 326.5311.7–339.5 | 145.7113.7–179.4 |
| 2091 | 328.6311.5–340.9 | 149.7116.5–181.8 |
| 2092 | 329.1312.2–341.8 | 149.4119.7–181.7 |
| 2093 | 327.3312.1–342.8 | 152.5117.1–184.1 |
| 2094 | 325.6312–336.2 | 150.9117.3–182.2 |
| 2095 | 329314–341.2 | 155118.3–181.5 |
| 2096 | 327.9311.6–341.9 | 152.4113.1–189.2 |
| 2097 | 325.6311–340 | 144.1113.8–183.3 |
| 2098 | 327.7311.4–341.1 | 152.4119.2–187 |
| 2099 | 327.3311.9–339.3 | 152.9117.3–185 |
| 2100 | 328.2313.4–341.2 | 148.3120.1–184.6 |
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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
索马里与津巴布韦对比
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人口与社会
经济
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冲突
军用
- 军费开支索马里:2025 年为 GDP 的 1.54%津巴布韦:2025 年为 GDP 的 0.56%
- 军费开支(美元)索马里:2025 年为 US$1.93亿津巴布韦:2025 年为 US$1.34亿
- 人均军费开支索马里:2025 年为 US$10津巴布韦:2025 年为 US$10
- 军费占政府支出比例索马里:2025 年为 20.8%(占政府支出)津巴布韦:2005 年为 5.3%(占政府支出)
- 武装部队人员索马里:2020 年为 14,000 人津巴布韦:2020 年为 51,000 人
- 国家实力索马里:2022 年为 0.13%(占全球实力)津巴布韦:2022 年为 0.08%(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)津巴布韦:2020 年为 0.88%(占劳动力)
- 武器进口索马里:2025 年为 200万 TIV津巴布韦:2023 年为 2000万 TIV