莫桑比克与索马里对比
莫桑比克与索马里:热带夜
2014 年热带夜:莫桑比克为 186.3 夜,索马里为 295.2 夜(CMIP6 气候模型中位数模拟)。 2014 年索马里的数值较高,高出 108.9 夜,是莫桑比克的 1.58 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 年莫桑比克为 254.4 夜,索马里为 328.2 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 莫桑比克 | 索马里 |
|---|---|---|
| 2014 | 186.3 | 295.2 |
| 2013 | 186.9 | 296.8 |
| 2012 | 185.2 | 296.7 |
| 2011 | 184.1 | 297.1 |
| 2010 | 182.2 | 294.6 |
| 2009 | 178.2 | 293.5 |
| 2008 | 176.8 | 292.2 |
| 2007 | 178.9 | 293.3 |
| 2006 | 177.4 | 292.4 |
| 2005 | 176.9 | 292.3 |
| 2004 | 181 | 293.8 |
| 2003 | 180 | 293.5 |
| 2002 | 177.1 | 292.1 |
| 2001 | 180.6 | 292.4 |
| 2000 | 173.6 | 290.2 |
| 1999 | 171.5 | 288.6 |
| 1998 | 174.1 | 289.9 |
| 1997 | 169.9 | 288.8 |
| 1996 | 164.7 | 285 |
| 1995 | 165.8 | 285.2 |
| 1994 | 163.1 | 284.2 |
| 1993 | 155.5 | 280.2 |
| 1992 | 156 | 278.1 |
| 1991 | 167.5 | 286.6 |
| 1990 | 170.2 | 288.5 |
| 1989 | 164 | 285.1 |
| 1988 | 166.4 | 285.6 |
| 1987 | 166 | 282.5 |
| 1986 | 166.6 | 283.4 |
| 1985 | 159.3 | 279.6 |
| 1984 | 161.1 | 281.4 |
| 1983 | 159.7 | 277.1 |
| 1982 | 160.6 | 283.7 |
| 1981 | 164.5 | 282.5 |
| 1980 | 161.9 | 280 |
| 1979 | 162.2 | 280.4 |
| 1978 | 160.2 | 280.5 |
| 1977 | 160.2 | 282.9 |
| 1976 | 157.4 | 278.7 |
| 1975 | 157.7 | 276.8 |
| 1974 | 159.1 | 279.3 |
| 1973 | 160.4 | 280.8 |
| 1972 | 157.6 | 278.3 |
| 1971 | 155.6 | 278.2 |
| 1970 | 159.7 | 278.3 |
| 1969 | 157.8 | 276.8 |
| 1968 | 153 | 276.3 |
| 1967 | 152.8 | 274.3 |
| 1966 | 152.5 | 275.9 |
| 1965 | 153.1 | 275.2 |
| 1964 | 145.9 | 275.1 |
| 1963 | 146.8 | 272.9 |
| 1962 | 158.5 | 277.9 |
| 1961 | 158.8 | 280.3 |
| 1960 | 160.6 | 280.8 |
| 1959 | 159.7 | 278.8 |
| 1958 | 159.5 | 280.9 |
| 1957 | 156.9 | 280.3 |
| 1956 | 153.4 | 276.1 |
| 1955 | 159.6 | 280.1 |
| 1954 | 155.4 | 278.2 |
| 1953 | 156.8 | 277.2 |
| 1952 | 156.6 | 279.4 |
| 1951 | 157.4 | 279 |
| 1950 | 156.3 | 278.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 莫桑比克 | 索马里 |
|---|---|---|
| 2015 | 191170.1–212.1 | 299.3283.7–311 |
| 2016 | 187.6168.6–208.2 | 296.8282.3–308.3 |
| 2017 | 190.1169.4–210.1 | 299.6284.6–310.1 |
| 2018 | 189.8163.6–212.8 | 301.3287.9–310.2 |
| 2019 | 189.7171.9–208.8 | 299.1286.1–311.9 |
| 2020 | 191.3169–213.8 | 299.4285.3–310.3 |
| 2021 | 193.1172.7–212.9 | 302.4289.1–313.6 |
| 2022 | 199.9176.3–216.7 | 304.5289.7–314.6 |
| 2023 | 196.8176.4–217.3 | 304.1290.6–312.4 |
| 2024 | 199.7173.4–222.8 | 303.4290.1–317 |
| 2025 | 195.7173–219.1 | 303.1288.8–317.8 |
| 2026 | 197.7172.6–219.3 | 303.2288.7–315.4 |
| 2027 | 199.9177.9–221.8 | 303.8287.7–314.9 |
| 2028 | 202.5181.1–221.1 | 305.4291.3–316.8 |
| 2029 | 207.6187.3–227.3 | 307.8294–317.8 |
| 2030 | 203.6183.2–223.8 | 304.5289.6–314.9 |
| 2031 | 207.3188.7–225 | 307.4292.3–317.9 |
| 2032 | 207.4186.7–230.9 | 308.3292.4–319.6 |
| 2033 | 206.1180.7–226.1 | 307.2292–317.6 |
| 2034 | 206.3181.3–227.7 | 305.9292.3–321.2 |
| 2035 | 208.2184.1–233.6 | 308.7293.4–321.1 |
| 2036 | 208.3183.8–226.4 | 307.5295.4–317.7 |
| 2037 | 213.7191.8–234.3 | 310.1298.4–319.9 |
| 2038 | 218.4195.7–240.9 | 311.1296.4–323.2 |
| 2039 | 212.6192.3–233.5 | 308.6295.9–321.9 |
| 2040 | 212.7189–233.9 | 311.7295.9–324.2 |
| 2041 | 213.1187.1–238 | 312296.6–321.5 |
| 2042 | 214.9190.4–241.3 | 311.7295–325.7 |
| 2043 | 216196.2–238.9 | 312298–323.1 |
| 2044 | 220.2196.1–242.1 | 311.4297.3–323 |
| 2045 | 217.2198.6–237.6 | 312.3298.6–323 |
| 2046 | 224.4200.5–247.6 | 314.4299–327.7 |
| 2047 | 224.5201.3–246.3 | 315.8300.2–327.9 |
| 2048 | 225.7205–247.5 | 316.9302.8–327.5 |
| 2049 | 226.4199.2–247.8 | 314.9303.2–325.2 |
| 2050 | 225.5198.1–246.6 | 315.9300.6–324.5 |
| 2051 | 227.5206.2–248.7 | 314.9301.9–326.9 |
| 2052 | 230.5208.6–255.2 | 316.2301.6–329 |
| 2053 | 226.3200.4–250 | 314.8302.3–326.8 |
| 2054 | 227.8203.9–256.1 | 316.2301.5–330.1 |
| 2055 | 231.5208.3–254.4 | 317.4302.7–327.8 |
| 2056 | 227.8204.6–253.1 | 316.5302.9–332.3 |
| 2057 | 227.6205.7–252.2 | 316.8302.5–329.8 |
| 2058 | 230.2208.3–251.8 | 316.9300.7–330.9 |
| 2059 | 235.5212.5–261.4 | 320.8305.2–332.5 |
| 2060 | 237.5208.9–257.9 | 321.3305.7–331.9 |
| 2061 | 232.1204.8–256.1 | 317.8304.8–330.3 |
| 2062 | 233.2208.6–257.9 | 319.6304.3–336 |
| 2063 | 233.3207.3–261.6 | 320.9305.3–332 |
| 2064 | 234.6209.3–255.8 | 319.7306.8–330.5 |
| 2065 | 236208.7–261 | 318.3304.6–334.6 |
| 2066 | 239.4213.6–261.8 | 321307.9–333.9 |
| 2067 | 235.5205.9–259.4 | 320.5304.3–334.4 |
| 2068 | 237.7211–264.3 | 321.7305.6–336.3 |
| 2069 | 241.1212.2–263.4 | 322.3308.6–335.4 |
| 2070 | 240.7212.1–266 | 321.1305.3–335.6 |
| 2071 | 244.1214.3–272.8 | 324.5308.4–336.9 |
| 2072 | 244.7215.8–267.8 | 324.1308.2–334.1 |
| 2073 | 246214.2–267.6 | 323.7308.1–337.9 |
| 2074 | 242.2219.9–271.1 | 322306–334.6 |
| 2075 | 244.4215.6–267.9 | 323.6307.6–336.4 |
| 2076 | 240.8211–264.8 | 323.6309–333.3 |
| 2077 | 241.4214.7–272.4 | 324.2309.6–335.9 |
| 2078 | 245.4220.8–271.1 | 324.7310.1–333.7 |
| 2079 | 244.1214.3–276.4 | 323.2307.6–336.3 |
| 2080 | 246.1221–273.6 | 324.7310.6–337.8 |
| 2081 | 245.6214.5–268.1 | 323.2311.1–335.3 |
| 2082 | 246.9220.6–268.3 | 324.3309.4–336.4 |
| 2083 | 247.3217.4–276.4 | 323.6308.3–342.4 |
| 2084 | 248.5223.3–270.9 | 326.2309.4–337.5 |
| 2085 | 253.4221.5–277.6 | 327.7311.9–339.4 |
| 2086 | 242.9216.4–272.3 | 326.6311.1–340.2 |
| 2087 | 247.4222.8–271.3 | 327.3311.5–339.1 |
| 2088 | 253221.1–274.9 | 328.6308.2–341.6 |
| 2089 | 251.6221.9–277.3 | 326.7312–340.2 |
| 2090 | 249.9218.6–277.9 | 326.5311.7–339.5 |
| 2091 | 253.2221.4–280.8 | 328.6311.5–340.9 |
| 2092 | 252.7221.5–279.5 | 329.1312.2–341.8 |
| 2093 | 256221.7–279.4 | 327.3312.1–342.8 |
| 2094 | 251.8221–280.3 | 325.6312–336.2 |
| 2095 | 255.6225.8–278.1 | 329314–341.2 |
| 2096 | 254.7225.8–280.4 | 327.9311.6–341.9 |
| 2097 | 253.2221.8–281.6 | 325.6311–340 |
| 2098 | 256.1225.2–279.6 | 327.7311.4–341.1 |
| 2099 | 254.9223.4–278.7 | 327.3311.9–339.3 |
| 2100 | 254.4226.1–279.1 | 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
莫桑比克与索马里对比
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军用
- 军费开支莫桑比克:2025 年为 GDP 的 1.87%索马里:2025 年为 GDP 的 1.54%
- 军费开支(美元)莫桑比克:2025 年为 US$4.46亿索马里:2025 年为 US$1.93亿
- 人均军费开支莫桑比克:2025 年为 US$13索马里:2025 年为 US$10
- 军费占政府支出比例莫桑比克:2025 年为 6%(占政府支出)索马里:2025 年为 20.8%(占政府支出)
- 武装部队人员莫桑比克:2020 年为 11,000 人索马里:2020 年为 14,000 人
- 国家实力莫桑比克:2022 年为 0.13%(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莫桑比克:2020 年为 0.08%(占劳动力)索马里:2020 年为 0.47%(占劳动力)
- 武器进口莫桑比克:2025 年为 1400万 TIV索马里:2025 年为 200万 TIV