尼日尔与塞内加尔对比
尼日尔与塞内加尔:热带夜
2014 年热带夜:尼日尔为 221.6 夜,塞内加尔为 302.1 夜(CMIP6 气候模型中位数模拟)。 2014 年塞内加尔的数值较高,高出 80.5 夜,是尼日尔的 1.36 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,塞内加尔的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年尼日尔为 251.1 夜,塞内加尔为 347.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 尼日尔 | 塞内加尔 |
|---|---|---|
| 2014 | 221.6 | 302.1 |
| 2013 | 216.1 | 300.9 |
| 2012 | 220.8 | 304.1 |
| 2011 | 220.1 | 302.1 |
| 2010 | 219.1 | 301.5 |
| 2009 | 217.2 | 302.1 |
| 2008 | 216.8 | 298.3 |
| 2007 | 216.9 | 298.5 |
| 2006 | 214.3 | 298.6 |
| 2005 | 213.6 | 298.1 |
| 2004 | 213.6 | 294.7 |
| 2003 | 215.5 | 296.1 |
| 2002 | 214.6 | 296 |
| 2001 | 213.4 | 298.9 |
| 2000 | 211.2 | 295 |
| 1999 | 210.4 | 293.2 |
| 1998 | 207.7 | 292.5 |
| 1997 | 211.5 | 288.5 |
| 1996 | 208.6 | 285.1 |
| 1995 | 208.3 | 285.9 |
| 1994 | 207.8 | 283.7 |
| 1993 | 202.6 | 282 |
| 1992 | 203.4 | 277.6 |
| 1991 | 209.4 | 286.7 |
| 1990 | 208.1 | 292.5 |
| 1989 | 206 | 282.1 |
| 1988 | 203 | 282.4 |
| 1987 | 204.9 | 281.8 |
| 1986 | 206.8 | 283 |
| 1985 | 203.9 | 278.1 |
| 1984 | 201.8 | 274.6 |
| 1983 | 200.5 | 276.3 |
| 1982 | 201.9 | 281.3 |
| 1981 | 204.3 | 277.9 |
| 1980 | 200.6 | 277.6 |
| 1979 | 200.5 | 281 |
| 1978 | 202 | 280.7 |
| 1977 | 203.8 | 278 |
| 1976 | 201.7 | 274.4 |
| 1975 | 199 | 278.4 |
| 1974 | 200.6 | 273.8 |
| 1973 | 202.6 | 274.5 |
| 1972 | 200.7 | 273.5 |
| 1971 | 200.8 | 273.4 |
| 1970 | 199.8 | 271.3 |
| 1969 | 196.1 | 271.6 |
| 1968 | 200.3 | 272.6 |
| 1967 | 196.6 | 275.4 |
| 1966 | 198.2 | 273.3 |
| 1965 | 199 | 272.8 |
| 1964 | 199.2 | 271.8 |
| 1963 | 196.7 | 272.8 |
| 1962 | 201.1 | 280.2 |
| 1961 | 198.2 | 276.9 |
| 1960 | 203.2 | 279.2 |
| 1959 | 201.6 | 277.4 |
| 1958 | 199.2 | 278.8 |
| 1957 | 201.1 | 274.4 |
| 1956 | 199.6 | 273.2 |
| 1955 | 199.7 | 273.4 |
| 1954 | 201.1 | 275 |
| 1953 | 196.5 | 271.7 |
| 1952 | 197.9 | 271 |
| 1951 | 199.8 | 272.9 |
| 1950 | 200.8 | 270.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 尼日尔 | 塞内加尔 |
|---|---|---|
| 2015 | 218.8202.8–235.8 | 298.9275.9–321 |
| 2016 | 217.7201.8–230.6 | 302.7276.5–319 |
| 2017 | 222.4205.2–237.4 | 302.9285.4–318.6 |
| 2018 | 220.5206.3–238.8 | 305.6289.2–321.5 |
| 2019 | 219.1201.8–238.1 | 307.6280.6–328.1 |
| 2020 | 220.9206.9–234.7 | 305.2276.2–322.9 |
| 2021 | 222.8208.2–240.2 | 307.6286–325.6 |
| 2022 | 226.3209.7–239.2 | 312.9289.6–334.3 |
| 2023 | 223.2206.6–238.4 | 307.5292.2–328.6 |
| 2024 | 228.4214.3–242.9 | 313.2294.6–326.9 |
| 2025 | 226.7211.2–241 | 311.8289–329.4 |
| 2026 | 226.3210–243.1 | 308.3285.2–328.6 |
| 2027 | 228.5209.9–241.1 | 310.7287.8–330 |
| 2028 | 227.1211.9–240.2 | 316.3289.2–331.6 |
| 2029 | 230.4213.3–247.1 | 315.7291.2–334.2 |
| 2030 | 226.4211.6–242.2 | 311.5289.1–329.1 |
| 2031 | 230.1210.8–247.1 | 318.8296.3–335 |
| 2032 | 228.7212.3–241 | 316295.7–332.4 |
| 2033 | 229.9214.9–245.4 | 316.7289.6–336.4 |
| 2034 | 229.5212.1–244.9 | 315.4291.6–335.1 |
| 2035 | 232.3217.5–248 | 316.8291.1–335.3 |
| 2036 | 230.2213.7–244.6 | 320.8298.5–335.3 |
| 2037 | 233.2215.1–246.5 | 324.5303.1–337.7 |
| 2038 | 234.3218.2–249.7 | 323.5304.2–339.7 |
| 2039 | 231214.2–247.1 | 323.3300.9–337 |
| 2040 | 230.8214.8–247.5 | 322.4298.9–339.5 |
| 2041 | 232.6218.6–252.9 | 320.2300.1–343.6 |
| 2042 | 233.8216.2–250.5 | 320302.1–339.9 |
| 2043 | 232.5217.8–245.8 | 320.4303.7–340.4 |
| 2044 | 233.8218.2–250.1 | 326.9301.5–340.9 |
| 2045 | 233.6218.1–249.7 | 324.1304.1–340 |
| 2046 | 234.3217–250.2 | 325.9304.7–340.6 |
| 2047 | 238.4224.3–253.1 | 329301.4–347 |
| 2048 | 238221.4–254 | 331.1314.3–344.8 |
| 2049 | 237.7217.4–253 | 331.3308.3–343.7 |
| 2050 | 238.2220.7–254.5 | 327.6306.5–341.9 |
| 2051 | 236.3220.6–254.7 | 328307.1–344 |
| 2052 | 239.5224.3–255.8 | 325.4308.1–344.2 |
| 2053 | 236.3223.9–255.6 | 331.8304.9–347.2 |
| 2054 | 239.4220.2–257.9 | 330.1310.8–345.2 |
| 2055 | 238.6223.7–254.7 | 330.1305.5–344 |
| 2056 | 239214.7–260.3 | 331.4307.4–349.8 |
| 2057 | 240.4223–256.3 | 337306.4–351.5 |
| 2058 | 238.2220.2–255.7 | 333313.2–350.2 |
| 2059 | 243.9224.6–262.7 | 334315.6–353.5 |
| 2060 | 239.8222.6–260 | 334.5316.4–351.1 |
| 2061 | 242.5224.9–258.5 | 333.7307.5–352.9 |
| 2062 | 241.6222.4–259.8 | 333.3312.4–350.2 |
| 2063 | 241.3220.9–255.2 | 335.4313.2–352.8 |
| 2064 | 244.4225.9–259.5 | 335.4307.1–351.1 |
| 2065 | 242.8226.5–262.4 | 334.8314.1–352.8 |
| 2066 | 245.6227–263.5 | 337.3312.9–351 |
| 2067 | 240.7224.9–262 | 335.5309.9–349.9 |
| 2068 | 244224.3–265.4 | 335.5313.5–354 |
| 2069 | 243.9225.5–261.6 | 336.1316.9–351.8 |
| 2070 | 243.1225.6–261.3 | 333.3312.9–352.9 |
| 2071 | 246.1230.3–264 | 335.7321.1–351.9 |
| 2072 | 247.9229.9–263.7 | 342.3321–354.6 |
| 2073 | 243.4225.4–262.8 | 339.4320.1–356.1 |
| 2074 | 243.2224.4–264.6 | 335.9317.1–351.8 |
| 2075 | 244.3230.2–263.3 | 338.4320.7–354.1 |
| 2076 | 246.5228.5–266.6 | 338.7321.9–352 |
| 2077 | 250.1232.3–267.4 | 342.8314.8–357.3 |
| 2078 | 249.2230.8–264.5 | 343325.8–355.4 |
| 2079 | 244.4228.7–263.8 | 341.2322.3–357.6 |
| 2080 | 248.8230.4–267 | 340.9317.7–358.1 |
| 2081 | 247227.8–268.1 | 339.8315.5–357.1 |
| 2082 | 247230.6–264.4 | 341.6316.4–354.9 |
| 2083 | 247.3230.7–267.5 | 340.8324.8–356.9 |
| 2084 | 247.7229.4–265.2 | 340.4322.8–354.9 |
| 2085 | 248.9227–264.2 | 346.8325.6–357 |
| 2086 | 250.4230.9–269.5 | 341.7324.4–357.6 |
| 2087 | 245.8226.2–266.9 | 343.9325.9–357.7 |
| 2088 | 248.3226.7–271.1 | 341.5321.6–358.2 |
| 2089 | 251.9232.5–269.5 | 343.2324.3–355.2 |
| 2090 | 249.7227.7–267.4 | 342320.6–356 |
| 2091 | 248.9230.5–272.2 | 341.7319.8–356.4 |
| 2092 | 251229.8–274 | 339.7318.4–357.7 |
| 2093 | 249.9234.8–267 | 345326.8–356.4 |
| 2094 | 252.2234–267.5 | 344.4324.3–357.6 |
| 2095 | 251.1233–270.7 | 346.3320.6–359.4 |
| 2096 | 250.8234.8–270.4 | 344.4323.1–359.2 |
| 2097 | 250.2227.8–270.8 | 341.4321.3–353.8 |
| 2098 | 250.1228.1–268.5 | 345322.3–357 |
| 2099 | 251.9232.2–268.2 | 344.6322.7–357.5 |
| 2100 | 251.1234.5–271.5 | 347.3323.6–359.2 |
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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
尼日尔与塞内加尔对比
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冲突
军用
- 军费开支尼日尔:2025 年为 GDP 的 2.14%塞内加尔:2025 年为 GDP 的 1.56%
- 军费开支(美元)尼日尔:2025 年为 US$4.5亿塞内加尔:2025 年为 US$5.33亿
- 人均军费开支尼日尔:2025 年为 US$18塞内加尔:2025 年为 US$30
- 军费占政府支出比例尼日尔:2025 年为 15.2%(占政府支出)塞内加尔:2025 年为 5.2%(占政府支出)
- 武装部队人员尼日尔:2020 年为 10,000 人塞内加尔:2020 年为 19,000 人
- 国家实力尼日尔:2022 年为 0.11%(占全球实力)塞内加尔:2022 年为 0.1%(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)塞内加尔:2020 年为 0.37%(占劳动力)
- 武器进口尼日尔:2025 年为 400万 TIV塞内加尔:2024 年为 7900万 TIV
- 武器出口尼日尔:1973 年为 0 TIV塞内加尔:1976 年为 300万 TIV