尼日尔与索马里对比
尼日尔与索马里:热带夜
2014 年热带夜:尼日尔为 221.6 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 73.6 夜,是尼日尔的 1.33 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 年尼日尔为 251.1 夜,索马里为 328.2 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 尼日尔 | 索马里 |
|---|---|---|
| 2014 | 221.6 | 295.2 |
| 2013 | 216.1 | 296.8 |
| 2012 | 220.8 | 296.7 |
| 2011 | 220.1 | 297.1 |
| 2010 | 219.1 | 294.6 |
| 2009 | 217.2 | 293.5 |
| 2008 | 216.8 | 292.2 |
| 2007 | 216.9 | 293.3 |
| 2006 | 214.3 | 292.4 |
| 2005 | 213.6 | 292.3 |
| 2004 | 213.6 | 293.8 |
| 2003 | 215.5 | 293.5 |
| 2002 | 214.6 | 292.1 |
| 2001 | 213.4 | 292.4 |
| 2000 | 211.2 | 290.2 |
| 1999 | 210.4 | 288.6 |
| 1998 | 207.7 | 289.9 |
| 1997 | 211.5 | 288.8 |
| 1996 | 208.6 | 285 |
| 1995 | 208.3 | 285.2 |
| 1994 | 207.8 | 284.2 |
| 1993 | 202.6 | 280.2 |
| 1992 | 203.4 | 278.1 |
| 1991 | 209.4 | 286.6 |
| 1990 | 208.1 | 288.5 |
| 1989 | 206 | 285.1 |
| 1988 | 203 | 285.6 |
| 1987 | 204.9 | 282.5 |
| 1986 | 206.8 | 283.4 |
| 1985 | 203.9 | 279.6 |
| 1984 | 201.8 | 281.4 |
| 1983 | 200.5 | 277.1 |
| 1982 | 201.9 | 283.7 |
| 1981 | 204.3 | 282.5 |
| 1980 | 200.6 | 280 |
| 1979 | 200.5 | 280.4 |
| 1978 | 202 | 280.5 |
| 1977 | 203.8 | 282.9 |
| 1976 | 201.7 | 278.7 |
| 1975 | 199 | 276.8 |
| 1974 | 200.6 | 279.3 |
| 1973 | 202.6 | 280.8 |
| 1972 | 200.7 | 278.3 |
| 1971 | 200.8 | 278.2 |
| 1970 | 199.8 | 278.3 |
| 1969 | 196.1 | 276.8 |
| 1968 | 200.3 | 276.3 |
| 1967 | 196.6 | 274.3 |
| 1966 | 198.2 | 275.9 |
| 1965 | 199 | 275.2 |
| 1964 | 199.2 | 275.1 |
| 1963 | 196.7 | 272.9 |
| 1962 | 201.1 | 277.9 |
| 1961 | 198.2 | 280.3 |
| 1960 | 203.2 | 280.8 |
| 1959 | 201.6 | 278.8 |
| 1958 | 199.2 | 280.9 |
| 1957 | 201.1 | 280.3 |
| 1956 | 199.6 | 276.1 |
| 1955 | 199.7 | 280.1 |
| 1954 | 201.1 | 278.2 |
| 1953 | 196.5 | 277.2 |
| 1952 | 197.9 | 279.4 |
| 1951 | 199.8 | 279 |
| 1950 | 200.8 | 278.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 尼日尔 | 索马里 |
|---|---|---|
| 2015 | 218.8202.8–235.8 | 299.3283.7–311 |
| 2016 | 217.7201.8–230.6 | 296.8282.3–308.3 |
| 2017 | 222.4205.2–237.4 | 299.6284.6–310.1 |
| 2018 | 220.5206.3–238.8 | 301.3287.9–310.2 |
| 2019 | 219.1201.8–238.1 | 299.1286.1–311.9 |
| 2020 | 220.9206.9–234.7 | 299.4285.3–310.3 |
| 2021 | 222.8208.2–240.2 | 302.4289.1–313.6 |
| 2022 | 226.3209.7–239.2 | 304.5289.7–314.6 |
| 2023 | 223.2206.6–238.4 | 304.1290.6–312.4 |
| 2024 | 228.4214.3–242.9 | 303.4290.1–317 |
| 2025 | 226.7211.2–241 | 303.1288.8–317.8 |
| 2026 | 226.3210–243.1 | 303.2288.7–315.4 |
| 2027 | 228.5209.9–241.1 | 303.8287.7–314.9 |
| 2028 | 227.1211.9–240.2 | 305.4291.3–316.8 |
| 2029 | 230.4213.3–247.1 | 307.8294–317.8 |
| 2030 | 226.4211.6–242.2 | 304.5289.6–314.9 |
| 2031 | 230.1210.8–247.1 | 307.4292.3–317.9 |
| 2032 | 228.7212.3–241 | 308.3292.4–319.6 |
| 2033 | 229.9214.9–245.4 | 307.2292–317.6 |
| 2034 | 229.5212.1–244.9 | 305.9292.3–321.2 |
| 2035 | 232.3217.5–248 | 308.7293.4–321.1 |
| 2036 | 230.2213.7–244.6 | 307.5295.4–317.7 |
| 2037 | 233.2215.1–246.5 | 310.1298.4–319.9 |
| 2038 | 234.3218.2–249.7 | 311.1296.4–323.2 |
| 2039 | 231214.2–247.1 | 308.6295.9–321.9 |
| 2040 | 230.8214.8–247.5 | 311.7295.9–324.2 |
| 2041 | 232.6218.6–252.9 | 312296.6–321.5 |
| 2042 | 233.8216.2–250.5 | 311.7295–325.7 |
| 2043 | 232.5217.8–245.8 | 312298–323.1 |
| 2044 | 233.8218.2–250.1 | 311.4297.3–323 |
| 2045 | 233.6218.1–249.7 | 312.3298.6–323 |
| 2046 | 234.3217–250.2 | 314.4299–327.7 |
| 2047 | 238.4224.3–253.1 | 315.8300.2–327.9 |
| 2048 | 238221.4–254 | 316.9302.8–327.5 |
| 2049 | 237.7217.4–253 | 314.9303.2–325.2 |
| 2050 | 238.2220.7–254.5 | 315.9300.6–324.5 |
| 2051 | 236.3220.6–254.7 | 314.9301.9–326.9 |
| 2052 | 239.5224.3–255.8 | 316.2301.6–329 |
| 2053 | 236.3223.9–255.6 | 314.8302.3–326.8 |
| 2054 | 239.4220.2–257.9 | 316.2301.5–330.1 |
| 2055 | 238.6223.7–254.7 | 317.4302.7–327.8 |
| 2056 | 239214.7–260.3 | 316.5302.9–332.3 |
| 2057 | 240.4223–256.3 | 316.8302.5–329.8 |
| 2058 | 238.2220.2–255.7 | 316.9300.7–330.9 |
| 2059 | 243.9224.6–262.7 | 320.8305.2–332.5 |
| 2060 | 239.8222.6–260 | 321.3305.7–331.9 |
| 2061 | 242.5224.9–258.5 | 317.8304.8–330.3 |
| 2062 | 241.6222.4–259.8 | 319.6304.3–336 |
| 2063 | 241.3220.9–255.2 | 320.9305.3–332 |
| 2064 | 244.4225.9–259.5 | 319.7306.8–330.5 |
| 2065 | 242.8226.5–262.4 | 318.3304.6–334.6 |
| 2066 | 245.6227–263.5 | 321307.9–333.9 |
| 2067 | 240.7224.9–262 | 320.5304.3–334.4 |
| 2068 | 244224.3–265.4 | 321.7305.6–336.3 |
| 2069 | 243.9225.5–261.6 | 322.3308.6–335.4 |
| 2070 | 243.1225.6–261.3 | 321.1305.3–335.6 |
| 2071 | 246.1230.3–264 | 324.5308.4–336.9 |
| 2072 | 247.9229.9–263.7 | 324.1308.2–334.1 |
| 2073 | 243.4225.4–262.8 | 323.7308.1–337.9 |
| 2074 | 243.2224.4–264.6 | 322306–334.6 |
| 2075 | 244.3230.2–263.3 | 323.6307.6–336.4 |
| 2076 | 246.5228.5–266.6 | 323.6309–333.3 |
| 2077 | 250.1232.3–267.4 | 324.2309.6–335.9 |
| 2078 | 249.2230.8–264.5 | 324.7310.1–333.7 |
| 2079 | 244.4228.7–263.8 | 323.2307.6–336.3 |
| 2080 | 248.8230.4–267 | 324.7310.6–337.8 |
| 2081 | 247227.8–268.1 | 323.2311.1–335.3 |
| 2082 | 247230.6–264.4 | 324.3309.4–336.4 |
| 2083 | 247.3230.7–267.5 | 323.6308.3–342.4 |
| 2084 | 247.7229.4–265.2 | 326.2309.4–337.5 |
| 2085 | 248.9227–264.2 | 327.7311.9–339.4 |
| 2086 | 250.4230.9–269.5 | 326.6311.1–340.2 |
| 2087 | 245.8226.2–266.9 | 327.3311.5–339.1 |
| 2088 | 248.3226.7–271.1 | 328.6308.2–341.6 |
| 2089 | 251.9232.5–269.5 | 326.7312–340.2 |
| 2090 | 249.7227.7–267.4 | 326.5311.7–339.5 |
| 2091 | 248.9230.5–272.2 | 328.6311.5–340.9 |
| 2092 | 251229.8–274 | 329.1312.2–341.8 |
| 2093 | 249.9234.8–267 | 327.3312.1–342.8 |
| 2094 | 252.2234–267.5 | 325.6312–336.2 |
| 2095 | 251.1233–270.7 | 329314–341.2 |
| 2096 | 250.8234.8–270.4 | 327.9311.6–341.9 |
| 2097 | 250.2227.8–270.8 | 325.6311–340 |
| 2098 | 250.1228.1–268.5 | 327.7311.4–341.1 |
| 2099 | 251.9232.2–268.2 | 327.3311.9–339.3 |
| 2100 | 251.1234.5–271.5 | 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
尼日尔与索马里对比
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冲突
军用
- 军费开支尼日尔:2025 年为 GDP 的 2.14%索马里:2025 年为 GDP 的 1.54%
- 军费开支(美元)尼日尔:2025 年为 US$4.5亿索马里:2025 年为 US$1.93亿
- 人均军费开支尼日尔:2025 年为 US$18索马里:2025 年为 US$10
- 军费占政府支出比例尼日尔:2025 年为 15.2%(占政府支出)索马里:2025 年为 20.8%(占政府支出)
- 武装部队人员尼日尔:2020 年为 10,000 人索马里:2020 年为 14,000 人
- 国家实力尼日尔:2022 年为 0.11%(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尼日尔:2020 年为 0.11%(占劳动力)索马里:2020 年为 0.47%(占劳动力)
- 武器进口尼日尔:2025 年为 400万 TIV索马里:2025 年为 200万 TIV