乍得与科特迪瓦对比
乍得与科特迪瓦:热带夜
2014 年热带夜:乍得为 237.6 夜,科特迪瓦为 341.6 夜(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 104 夜,是乍得的 1.44 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,科特迪瓦的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年乍得为 273.4 夜,科特迪瓦为 359.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 乍得 | 科特迪瓦 |
|---|---|---|
| 2014 | 237.6 | 341.6 |
| 2013 | 231.8 | 339.6 |
| 2012 | 237.9 | 342.3 |
| 2011 | 236.2 | 340.1 |
| 2010 | 234.8 | 338.6 |
| 2009 | 231.5 | 337.3 |
| 2008 | 230.8 | 337.1 |
| 2007 | 229.6 | 336.7 |
| 2006 | 229.5 | 336.6 |
| 2005 | 228.8 | 337.6 |
| 2004 | 228 | 334.8 |
| 2003 | 230.9 | 337.3 |
| 2002 | 229.8 | 336.1 |
| 2001 | 230.2 | 339.5 |
| 2000 | 226.4 | 334.6 |
| 1999 | 225.1 | 331.3 |
| 1998 | 222.9 | 332.7 |
| 1997 | 226.3 | 331.8 |
| 1996 | 222.4 | 329.9 |
| 1995 | 222.3 | 330.5 |
| 1994 | 221.4 | 327.9 |
| 1993 | 215.6 | 327.2 |
| 1992 | 214.4 | 322 |
| 1991 | 223 | 331.7 |
| 1990 | 222.8 | 334 |
| 1989 | 220 | 328.9 |
| 1988 | 219.9 | 327.5 |
| 1987 | 218.4 | 327.9 |
| 1986 | 222.6 | 329.2 |
| 1985 | 218 | 324.9 |
| 1984 | 216.1 | 325.8 |
| 1983 | 213.7 | 325.4 |
| 1982 | 214.8 | 324 |
| 1981 | 218.1 | 327 |
| 1980 | 215 | 323.1 |
| 1979 | 214.5 | 327.1 |
| 1978 | 216 | 324.2 |
| 1977 | 216.2 | 325.5 |
| 1976 | 215.7 | 321.7 |
| 1975 | 212.2 | 322.8 |
| 1974 | 213.8 | 322 |
| 1973 | 216.9 | 323.8 |
| 1972 | 215.2 | 322.4 |
| 1971 | 212.6 | 322 |
| 1970 | 214.3 | 322.2 |
| 1969 | 210.3 | 320.9 |
| 1968 | 212.8 | 319.8 |
| 1967 | 209.1 | 317.1 |
| 1966 | 210.8 | 318.4 |
| 1965 | 210.3 | 320 |
| 1964 | 210.6 | 314.7 |
| 1963 | 207.5 | 317.4 |
| 1962 | 214.7 | 324.1 |
| 1961 | 212.3 | 323.1 |
| 1960 | 217.3 | 325.5 |
| 1959 | 212.5 | 322.1 |
| 1958 | 213.8 | 322.4 |
| 1957 | 214 | 321.2 |
| 1956 | 213.4 | 321.2 |
| 1955 | 213.8 | 320.1 |
| 1954 | 214.3 | 325.6 |
| 1953 | 211.3 | 322.9 |
| 1952 | 213.1 | 319.4 |
| 1951 | 213.8 | 323.9 |
| 1950 | 213.1 | 317.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 乍得 | 科特迪瓦 |
|---|---|---|
| 2015 | 235.8215.6–253.1 | 339.1321.9–350.7 |
| 2016 | 233.3212.8–247.7 | 339.9324.6–349.1 |
| 2017 | 237.6218.6–253.1 | 340.5322.4–349.6 |
| 2018 | 235.8217.8–254.4 | 341.6327.4–351.6 |
| 2019 | 235.2213.3–255.6 | 338.5323.6–350.3 |
| 2020 | 237217.1–255 | 340.6324.2–352.9 |
| 2021 | 239.6220–258.2 | 340.8325.2–353.8 |
| 2022 | 240.4223.1–258.2 | 344327.2–353.4 |
| 2023 | 239.1216.7–256.4 | 341.2327.2–352.6 |
| 2024 | 246.7227.6–261.2 | 344.9331–353.9 |
| 2025 | 243.2223.9–259.4 | 342.4327.8–352.1 |
| 2026 | 242.9220.8–260.9 | 342.3326.6–353.3 |
| 2027 | 242.3221.2–258.6 | 343.9325.6–352.9 |
| 2028 | 242.7225.4–259.7 | 347.4333.6–355.5 |
| 2029 | 246.3227.2–264.1 | 347.2332.4–355.2 |
| 2030 | 244.7225.8–261.1 | 347.2332.1–353.8 |
| 2031 | 246.8224.7–264.8 | 349.3333.1–357.2 |
| 2032 | 244.3226.5–260.2 | 347.8331.5–356.9 |
| 2033 | 247.6228.7–266.1 | 348332.6–360.4 |
| 2034 | 247.8224.9–263.9 | 346.6331.7–355.8 |
| 2035 | 250.9230.3–268.9 | 348.9333.7–357.8 |
| 2036 | 246.7226.3–264.1 | 350.5332.7–359.1 |
| 2037 | 249.9230.3–266.2 | 349.8334.6–357.5 |
| 2038 | 252.4233.4–268.7 | 351.3338.9–358.2 |
| 2039 | 250230.8–267.5 | 350.6333.1–358.9 |
| 2040 | 248.9227–266.8 | 351.1336.2–359.6 |
| 2041 | 252230–270.9 | 350.8335.9–358 |
| 2042 | 250.4232–271.8 | 349.8337.3–358.6 |
| 2043 | 251.1232–265.5 | 348.4336.1–357.8 |
| 2044 | 251.4230.2–271.3 | 350.3337.5–359.2 |
| 2045 | 252.3230.8–270.2 | 351339.5–359.5 |
| 2046 | 253.6231.9–272.3 | 351.7337.6–358.6 |
| 2047 | 254.6236.7–274.4 | 352335.4–360.1 |
| 2048 | 254.4236.6–273.6 | 351.6339.9–360.3 |
| 2049 | 256235.4–272 | 353339.6–360.9 |
| 2050 | 255.9234.4–276.1 | 352340.6–359.3 |
| 2051 | 256.1237.8–275.9 | 353340.5–360.5 |
| 2052 | 258.3237.1–273.9 | 352339–359.8 |
| 2053 | 255.9234.9–275 | 352.7339–360.5 |
| 2054 | 260.6233–279.6 | 354.7339.5–360.9 |
| 2055 | 259.9239.1–276.6 | 353.4343.4–360.8 |
| 2056 | 259.4233.3–279 | 355.9339.6–362.8 |
| 2057 | 262.5240.8–278.4 | 356.3343–362 |
| 2058 | 259.3239.2–275.5 | 354.3344.5–361.3 |
| 2059 | 263.7240.5–282.9 | 355343.4–361.7 |
| 2060 | 259.3239.3–280 | 354.6343.3–362.1 |
| 2061 | 261.1240.7–281.2 | 354.6341.3–362.5 |
| 2062 | 261.4238.1–281.4 | 354.4340.8–361.3 |
| 2063 | 263.4239.6–278.6 | 355.4345.2–362.1 |
| 2064 | 263.9244.3–283.2 | 356.1344.6–362.9 |
| 2065 | 263.7247.7–283.1 | 355.5346.4–362.4 |
| 2066 | 265.2245.7–285.6 | 355.2344.5–361.2 |
| 2067 | 262.5242.8–283.8 | 355.3341.4–361.8 |
| 2068 | 266.8241.4–286.3 | 357.3346.3–363.6 |
| 2069 | 262.7242.8–283.1 | 355344.3–362.7 |
| 2070 | 264.9243.5–284.9 | 355.6344.2–362.3 |
| 2071 | 267.9248.5–286 | 356.8344.7–362.9 |
| 2072 | 269.2246.8–285.6 | 357.7346.2–363.1 |
| 2073 | 263.7241.6–284.2 | 356.6345.2–362.2 |
| 2074 | 264239.7–285.1 | 354.4342.1–362.7 |
| 2075 | 266.5246.7–287 | 356343.7–362.5 |
| 2076 | 267.8245.8–285.7 | 357.4348.5–363.3 |
| 2077 | 269.5247.1–290.8 | 358.1347.7–362.8 |
| 2078 | 268.6247.9–286.4 | 357.3346.8–363.2 |
| 2079 | 266.4247.9–286.3 | 357.4346.6–363.6 |
| 2080 | 269.4249.6–289.4 | 359.1349.4–364.7 |
| 2081 | 267.4247.1–291.8 | 358.8347.5–363.5 |
| 2082 | 266.7249.2–286.8 | 357346.9–363.4 |
| 2083 | 269.8248.9–287.6 | 357.8349.5–363.1 |
| 2084 | 268.4243.4–289.7 | 358.8349.3–363.4 |
| 2085 | 270.8251.2–287.4 | 359.7350.1–364 |
| 2086 | 270.6249.6–291.5 | 359347.7–363.8 |
| 2087 | 266.3246.2–289.2 | 358.8348.8–364.1 |
| 2088 | 269.2245.6–290.7 | 358347.4–363.7 |
| 2089 | 270.4251.1–289 | 357.4347.3–363.5 |
| 2090 | 270.9245.5–291.1 | 358.8346.1–363.9 |
| 2091 | 271.3246.1–293.5 | 358.3349.1–363.3 |
| 2092 | 270.6248.3–291.9 | 359.2347.5–364 |
| 2093 | 272.4254.3–289.2 | 359349.8–363.8 |
| 2094 | 274254.8–290.2 | 359.3350.1–363.1 |
| 2095 | 273.5251.8–291.6 | 358.1349.7–364 |
| 2096 | 273.9252.1–292.5 | 358.8348.3–365.1 |
| 2097 | 270.8246–292.1 | 358.9342.5–362.5 |
| 2098 | 271.1248.3–290.6 | 357.8348.1–363.6 |
| 2099 | 271.8250.5–291.1 | 359.2349.5–363.2 |
| 2100 | 273.4254–291.9 | 359.6348.3–363.8 |
分别查看各国
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
乍得与科特迪瓦对比
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人口与社会
经济
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冲突
军用
- 军费开支乍得:2025 年为 GDP 的 3.19%科特迪瓦:2025 年为 GDP 的 0.77%
- 军费开支(美元)乍得:2025 年为 US$5.98亿科特迪瓦:2025 年为 US$7.21亿
- 人均军费开支乍得:2025 年为 US$31科特迪瓦:2025 年为 US$24
- 军费占政府支出比例乍得:2025 年为 15.5%(占政府支出)科特迪瓦:2025 年为 3.8%(占政府支出)
- 武装部队人员乍得:2020 年为 45,000 人科特迪瓦:2020 年为 27,000 人
- 国家实力乍得:2022 年为 0.1%(占全球实力)科特迪瓦:2022 年为 0.16%(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)科特迪瓦:2020 年为 0.25%(占劳动力)
- 武器进口乍得:2025 年为 400万 TIV科特迪瓦:2025 年为 1500万 TIV
- 武器出口乍得:1987 年为 2000万 TIV科特迪瓦:1971 年为 100万 TIV