乍得与塞内加尔对比
乍得与塞内加尔:热带夜
2014 年热带夜:乍得为 237.6 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 64.5 夜,是乍得的 1.27 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 年乍得为 273.4 夜,塞内加尔为 347.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 乍得 | 塞内加尔 |
|---|---|---|
| 2014 | 237.6 | 302.1 |
| 2013 | 231.8 | 300.9 |
| 2012 | 237.9 | 304.1 |
| 2011 | 236.2 | 302.1 |
| 2010 | 234.8 | 301.5 |
| 2009 | 231.5 | 302.1 |
| 2008 | 230.8 | 298.3 |
| 2007 | 229.6 | 298.5 |
| 2006 | 229.5 | 298.6 |
| 2005 | 228.8 | 298.1 |
| 2004 | 228 | 294.7 |
| 2003 | 230.9 | 296.1 |
| 2002 | 229.8 | 296 |
| 2001 | 230.2 | 298.9 |
| 2000 | 226.4 | 295 |
| 1999 | 225.1 | 293.2 |
| 1998 | 222.9 | 292.5 |
| 1997 | 226.3 | 288.5 |
| 1996 | 222.4 | 285.1 |
| 1995 | 222.3 | 285.9 |
| 1994 | 221.4 | 283.7 |
| 1993 | 215.6 | 282 |
| 1992 | 214.4 | 277.6 |
| 1991 | 223 | 286.7 |
| 1990 | 222.8 | 292.5 |
| 1989 | 220 | 282.1 |
| 1988 | 219.9 | 282.4 |
| 1987 | 218.4 | 281.8 |
| 1986 | 222.6 | 283 |
| 1985 | 218 | 278.1 |
| 1984 | 216.1 | 274.6 |
| 1983 | 213.7 | 276.3 |
| 1982 | 214.8 | 281.3 |
| 1981 | 218.1 | 277.9 |
| 1980 | 215 | 277.6 |
| 1979 | 214.5 | 281 |
| 1978 | 216 | 280.7 |
| 1977 | 216.2 | 278 |
| 1976 | 215.7 | 274.4 |
| 1975 | 212.2 | 278.4 |
| 1974 | 213.8 | 273.8 |
| 1973 | 216.9 | 274.5 |
| 1972 | 215.2 | 273.5 |
| 1971 | 212.6 | 273.4 |
| 1970 | 214.3 | 271.3 |
| 1969 | 210.3 | 271.6 |
| 1968 | 212.8 | 272.6 |
| 1967 | 209.1 | 275.4 |
| 1966 | 210.8 | 273.3 |
| 1965 | 210.3 | 272.8 |
| 1964 | 210.6 | 271.8 |
| 1963 | 207.5 | 272.8 |
| 1962 | 214.7 | 280.2 |
| 1961 | 212.3 | 276.9 |
| 1960 | 217.3 | 279.2 |
| 1959 | 212.5 | 277.4 |
| 1958 | 213.8 | 278.8 |
| 1957 | 214 | 274.4 |
| 1956 | 213.4 | 273.2 |
| 1955 | 213.8 | 273.4 |
| 1954 | 214.3 | 275 |
| 1953 | 211.3 | 271.7 |
| 1952 | 213.1 | 271 |
| 1951 | 213.8 | 272.9 |
| 1950 | 213.1 | 270.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 乍得 | 塞内加尔 |
|---|---|---|
| 2015 | 235.8215.6–253.1 | 298.9275.9–321 |
| 2016 | 233.3212.8–247.7 | 302.7276.5–319 |
| 2017 | 237.6218.6–253.1 | 302.9285.4–318.6 |
| 2018 | 235.8217.8–254.4 | 305.6289.2–321.5 |
| 2019 | 235.2213.3–255.6 | 307.6280.6–328.1 |
| 2020 | 237217.1–255 | 305.2276.2–322.9 |
| 2021 | 239.6220–258.2 | 307.6286–325.6 |
| 2022 | 240.4223.1–258.2 | 312.9289.6–334.3 |
| 2023 | 239.1216.7–256.4 | 307.5292.2–328.6 |
| 2024 | 246.7227.6–261.2 | 313.2294.6–326.9 |
| 2025 | 243.2223.9–259.4 | 311.8289–329.4 |
| 2026 | 242.9220.8–260.9 | 308.3285.2–328.6 |
| 2027 | 242.3221.2–258.6 | 310.7287.8–330 |
| 2028 | 242.7225.4–259.7 | 316.3289.2–331.6 |
| 2029 | 246.3227.2–264.1 | 315.7291.2–334.2 |
| 2030 | 244.7225.8–261.1 | 311.5289.1–329.1 |
| 2031 | 246.8224.7–264.8 | 318.8296.3–335 |
| 2032 | 244.3226.5–260.2 | 316295.7–332.4 |
| 2033 | 247.6228.7–266.1 | 316.7289.6–336.4 |
| 2034 | 247.8224.9–263.9 | 315.4291.6–335.1 |
| 2035 | 250.9230.3–268.9 | 316.8291.1–335.3 |
| 2036 | 246.7226.3–264.1 | 320.8298.5–335.3 |
| 2037 | 249.9230.3–266.2 | 324.5303.1–337.7 |
| 2038 | 252.4233.4–268.7 | 323.5304.2–339.7 |
| 2039 | 250230.8–267.5 | 323.3300.9–337 |
| 2040 | 248.9227–266.8 | 322.4298.9–339.5 |
| 2041 | 252230–270.9 | 320.2300.1–343.6 |
| 2042 | 250.4232–271.8 | 320302.1–339.9 |
| 2043 | 251.1232–265.5 | 320.4303.7–340.4 |
| 2044 | 251.4230.2–271.3 | 326.9301.5–340.9 |
| 2045 | 252.3230.8–270.2 | 324.1304.1–340 |
| 2046 | 253.6231.9–272.3 | 325.9304.7–340.6 |
| 2047 | 254.6236.7–274.4 | 329301.4–347 |
| 2048 | 254.4236.6–273.6 | 331.1314.3–344.8 |
| 2049 | 256235.4–272 | 331.3308.3–343.7 |
| 2050 | 255.9234.4–276.1 | 327.6306.5–341.9 |
| 2051 | 256.1237.8–275.9 | 328307.1–344 |
| 2052 | 258.3237.1–273.9 | 325.4308.1–344.2 |
| 2053 | 255.9234.9–275 | 331.8304.9–347.2 |
| 2054 | 260.6233–279.6 | 330.1310.8–345.2 |
| 2055 | 259.9239.1–276.6 | 330.1305.5–344 |
| 2056 | 259.4233.3–279 | 331.4307.4–349.8 |
| 2057 | 262.5240.8–278.4 | 337306.4–351.5 |
| 2058 | 259.3239.2–275.5 | 333313.2–350.2 |
| 2059 | 263.7240.5–282.9 | 334315.6–353.5 |
| 2060 | 259.3239.3–280 | 334.5316.4–351.1 |
| 2061 | 261.1240.7–281.2 | 333.7307.5–352.9 |
| 2062 | 261.4238.1–281.4 | 333.3312.4–350.2 |
| 2063 | 263.4239.6–278.6 | 335.4313.2–352.8 |
| 2064 | 263.9244.3–283.2 | 335.4307.1–351.1 |
| 2065 | 263.7247.7–283.1 | 334.8314.1–352.8 |
| 2066 | 265.2245.7–285.6 | 337.3312.9–351 |
| 2067 | 262.5242.8–283.8 | 335.5309.9–349.9 |
| 2068 | 266.8241.4–286.3 | 335.5313.5–354 |
| 2069 | 262.7242.8–283.1 | 336.1316.9–351.8 |
| 2070 | 264.9243.5–284.9 | 333.3312.9–352.9 |
| 2071 | 267.9248.5–286 | 335.7321.1–351.9 |
| 2072 | 269.2246.8–285.6 | 342.3321–354.6 |
| 2073 | 263.7241.6–284.2 | 339.4320.1–356.1 |
| 2074 | 264239.7–285.1 | 335.9317.1–351.8 |
| 2075 | 266.5246.7–287 | 338.4320.7–354.1 |
| 2076 | 267.8245.8–285.7 | 338.7321.9–352 |
| 2077 | 269.5247.1–290.8 | 342.8314.8–357.3 |
| 2078 | 268.6247.9–286.4 | 343325.8–355.4 |
| 2079 | 266.4247.9–286.3 | 341.2322.3–357.6 |
| 2080 | 269.4249.6–289.4 | 340.9317.7–358.1 |
| 2081 | 267.4247.1–291.8 | 339.8315.5–357.1 |
| 2082 | 266.7249.2–286.8 | 341.6316.4–354.9 |
| 2083 | 269.8248.9–287.6 | 340.8324.8–356.9 |
| 2084 | 268.4243.4–289.7 | 340.4322.8–354.9 |
| 2085 | 270.8251.2–287.4 | 346.8325.6–357 |
| 2086 | 270.6249.6–291.5 | 341.7324.4–357.6 |
| 2087 | 266.3246.2–289.2 | 343.9325.9–357.7 |
| 2088 | 269.2245.6–290.7 | 341.5321.6–358.2 |
| 2089 | 270.4251.1–289 | 343.2324.3–355.2 |
| 2090 | 270.9245.5–291.1 | 342320.6–356 |
| 2091 | 271.3246.1–293.5 | 341.7319.8–356.4 |
| 2092 | 270.6248.3–291.9 | 339.7318.4–357.7 |
| 2093 | 272.4254.3–289.2 | 345326.8–356.4 |
| 2094 | 274254.8–290.2 | 344.4324.3–357.6 |
| 2095 | 273.5251.8–291.6 | 346.3320.6–359.4 |
| 2096 | 273.9252.1–292.5 | 344.4323.1–359.2 |
| 2097 | 270.8246–292.1 | 341.4321.3–353.8 |
| 2098 | 271.1248.3–290.6 | 345322.3–357 |
| 2099 | 271.8250.5–291.1 | 344.6322.7–357.5 |
| 2100 | 273.4254–291.9 | 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
乍得与塞内加尔对比
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军用
- 军费开支乍得:2025 年为 GDP 的 3.19%塞内加尔:2025 年为 GDP 的 1.56%
- 军费开支(美元)乍得:2025 年为 US$5.98亿塞内加尔:2025 年为 US$5.33亿
- 人均军费开支乍得:2025 年为 US$31塞内加尔:2025 年为 US$30
- 军费占政府支出比例乍得:2025 年为 15.5%(占政府支出)塞内加尔:2025 年为 5.2%(占政府支出)
- 武装部队人员乍得:2020 年为 45,000 人塞内加尔:2020 年为 19,000 人
- 国家实力乍得:2022 年为 0.1%(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乍得:2020 年为 0.85%(占劳动力)塞内加尔:2020 年为 0.37%(占劳动力)
- 武器进口乍得:2025 年为 400万 TIV塞内加尔:2024 年为 7900万 TIV
- 武器出口乍得:1987 年为 2000万 TIV塞内加尔:1976 年为 300万 TIV