中非共和国与乍得对比
中非共和国与乍得:热带夜
2014 年热带夜:中非共和国为 298 夜,乍得为 237.6 夜(CMIP6 气候模型中位数模拟)。 2014 年中非共和国的数值较高,高出 60.4 夜,是乍得的 1.25 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,中非共和国的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年中非共和国为 351 夜,乍得为 273.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 中非共和国 | 乍得 |
|---|---|---|
| 2014 | 298 | 237.6 |
| 2013 | 294.4 | 231.8 |
| 2012 | 298.9 | 237.9 |
| 2011 | 296.2 | 236.2 |
| 2010 | 291.8 | 234.8 |
| 2009 | 283.8 | 231.5 |
| 2008 | 284.9 | 230.8 |
| 2007 | 283.8 | 229.6 |
| 2006 | 284.9 | 229.5 |
| 2005 | 279.1 | 228.8 |
| 2004 | 279 | 228 |
| 2003 | 287.8 | 230.9 |
| 2002 | 283.7 | 229.8 |
| 2001 | 287.7 | 230.2 |
| 2000 | 277.3 | 226.4 |
| 1999 | 268 | 225.1 |
| 1998 | 272.1 | 222.9 |
| 1997 | 271.6 | 226.3 |
| 1996 | 260.5 | 222.4 |
| 1995 | 261 | 222.3 |
| 1994 | 258 | 221.4 |
| 1993 | 241 | 215.6 |
| 1992 | 238.3 | 214.4 |
| 1991 | 261.1 | 223 |
| 1990 | 272.2 | 222.8 |
| 1989 | 264.7 | 220 |
| 1988 | 261.2 | 219.9 |
| 1987 | 256.3 | 218.4 |
| 1986 | 261.3 | 222.6 |
| 1985 | 252.5 | 218 |
| 1984 | 246.4 | 216.1 |
| 1983 | 244.2 | 213.7 |
| 1982 | 244.6 | 214.8 |
| 1981 | 258.2 | 218.1 |
| 1980 | 248.8 | 215 |
| 1979 | 250.8 | 214.5 |
| 1978 | 245.6 | 216 |
| 1977 | 247.4 | 216.2 |
| 1976 | 244.1 | 215.7 |
| 1975 | 233 | 212.2 |
| 1974 | 240.6 | 213.8 |
| 1973 | 247.2 | 216.9 |
| 1972 | 245.4 | 215.2 |
| 1971 | 238.1 | 212.6 |
| 1970 | 242.5 | 214.3 |
| 1969 | 235.7 | 210.3 |
| 1968 | 236.5 | 212.8 |
| 1967 | 229.2 | 209.1 |
| 1966 | 228 | 210.8 |
| 1965 | 228.7 | 210.3 |
| 1964 | 219.6 | 210.6 |
| 1963 | 213.7 | 207.5 |
| 1962 | 245.5 | 214.7 |
| 1961 | 245.3 | 212.3 |
| 1960 | 252.1 | 217.3 |
| 1959 | 240 | 212.5 |
| 1958 | 242.4 | 213.8 |
| 1957 | 243.1 | 214 |
| 1956 | 235.9 | 213.4 |
| 1955 | 235 | 213.8 |
| 1954 | 242.2 | 214.3 |
| 1953 | 242.9 | 211.3 |
| 1952 | 241.6 | 213.1 |
| 1951 | 244.6 | 213.8 |
| 1950 | 240.5 | 213.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 中非共和国 | 乍得 |
|---|---|---|
| 2015 | 296.8259.8–319.5 | 235.8215.6–253.1 |
| 2016 | 292.8258.1–314.7 | 233.3212.8–247.7 |
| 2017 | 298.1264.3–319.8 | 237.6218.6–253.1 |
| 2018 | 301.3266.8–322.1 | 235.8217.8–254.4 |
| 2019 | 297.6255.5–321.6 | 235.2213.3–255.6 |
| 2020 | 297.8264.4–323.8 | 237217.1–255 |
| 2021 | 303.5277.9–325.6 | 239.6220–258.2 |
| 2022 | 305.7271.8–329.6 | 240.4223.1–258.2 |
| 2023 | 304.4270.3–328.8 | 239.1216.7–256.4 |
| 2024 | 311.6282.4–328.8 | 246.7227.6–261.2 |
| 2025 | 306.4276.6–331.3 | 243.2223.9–259.4 |
| 2026 | 307.7267.5–331.7 | 242.9220.8–260.9 |
| 2027 | 306.2271–329.2 | 242.3221.2–258.6 |
| 2028 | 313.1281.8–333.8 | 242.7225.4–259.7 |
| 2029 | 313.2289.9–331.2 | 246.3227.2–264.1 |
| 2030 | 312.2282.3–332.1 | 244.7225.8–261.1 |
| 2031 | 318.6280.7–337.1 | 246.8224.7–264.8 |
| 2032 | 310.6282.5–334.3 | 244.3226.5–260.2 |
| 2033 | 315.7281.2–337.3 | 247.6228.7–266.1 |
| 2034 | 313.8285.1–334.2 | 247.8224.9–263.9 |
| 2035 | 321.8285.3–342.8 | 250.9230.3–268.9 |
| 2036 | 318.7281.1–339.2 | 246.7226.3–264.1 |
| 2037 | 323287.4–340.8 | 249.9230.3–266.2 |
| 2038 | 328.2295.4–343.1 | 252.4233.4–268.7 |
| 2039 | 324.5292.8–342.8 | 250230.8–267.5 |
| 2040 | 327.4285.8–346.5 | 248.9227–266.8 |
| 2041 | 323.7289.8–344 | 252230–270.9 |
| 2042 | 323.4296.3–346.2 | 250.4232–271.8 |
| 2043 | 323.5288.9–341.5 | 251.1232–265.5 |
| 2044 | 325.2283.4–346.4 | 251.4230.2–271.3 |
| 2045 | 325295.2–346 | 252.3230.8–270.2 |
| 2046 | 330.6296.7–346.9 | 253.6231.9–272.3 |
| 2047 | 331.1295.8–348.3 | 254.6236.7–274.4 |
| 2048 | 329.6299–349 | 254.4236.6–273.6 |
| 2049 | 334.4308.4–350.1 | 256235.4–272 |
| 2050 | 334.6300.5–351.6 | 255.9234.4–276.1 |
| 2051 | 331.9303.4–351.8 | 256.1237.8–275.9 |
| 2052 | 329.2299.5–352.9 | 258.3237.1–273.9 |
| 2053 | 330.6293.1–353.7 | 255.9234.9–275 |
| 2054 | 336.1301.1–352.6 | 260.6233–279.6 |
| 2055 | 334.5305.4–352.6 | 259.9239.1–276.6 |
| 2056 | 335.3301.1–354.4 | 259.4233.3–279 |
| 2057 | 339.2314.5–355.2 | 262.5240.8–278.4 |
| 2058 | 338.2305.5–352.7 | 259.3239.2–275.5 |
| 2059 | 339.7310.2–356.1 | 263.7240.5–282.9 |
| 2060 | 337.3309.6–356.6 | 259.3239.3–280 |
| 2061 | 339.2304.4–355.7 | 261.1240.7–281.2 |
| 2062 | 337.9302.4–356.4 | 261.4238.1–281.4 |
| 2063 | 341.2303.4–356.2 | 263.4239.6–278.6 |
| 2064 | 341.3314.1–357.5 | 263.9244.3–283.2 |
| 2065 | 341.8320.2–356.5 | 263.7247.7–283.1 |
| 2066 | 343316.1–357.3 | 265.2245.7–285.6 |
| 2067 | 340.3308.3–356.9 | 262.5242.8–283.8 |
| 2068 | 344.2312.2–360.2 | 266.8241.4–286.3 |
| 2069 | 339.2308.5–358 | 262.7242.8–283.1 |
| 2070 | 343.9313.8–357.4 | 264.9243.5–284.9 |
| 2071 | 343.6319.4–357.7 | 267.9248.5–286 |
| 2072 | 344.4312.6–358.7 | 269.2246.8–285.6 |
| 2073 | 340.2313.6–360.5 | 263.7241.6–284.2 |
| 2074 | 341.9311.6–359.2 | 264239.7–285.1 |
| 2075 | 346.5312.4–358.5 | 266.5246.7–287 |
| 2076 | 344.5316.9–358.7 | 267.8245.8–285.7 |
| 2077 | 344.9324.2–359.9 | 269.5247.1–290.8 |
| 2078 | 345.1315.5–358.7 | 268.6247.9–286.4 |
| 2079 | 345.9321.4–358.8 | 266.4247.9–286.3 |
| 2080 | 348.6320.7–361 | 269.4249.6–289.4 |
| 2081 | 346.3318.7–360.1 | 267.4247.1–291.8 |
| 2082 | 347.1316.2–359.3 | 266.7249.2–286.8 |
| 2083 | 344.5319.4–360.1 | 269.8248.9–287.6 |
| 2084 | 348.1321.8–362 | 268.4243.4–289.7 |
| 2085 | 349.7323–361.3 | 270.8251.2–287.4 |
| 2086 | 347325.1–361.9 | 270.6249.6–291.5 |
| 2087 | 344.8321.5–361.2 | 266.3246.2–289.2 |
| 2088 | 348.8321.2–362 | 269.2245.6–290.7 |
| 2089 | 348.9322.8–360.9 | 270.4251.1–289 |
| 2090 | 349322.5–360.6 | 270.9245.5–291.1 |
| 2091 | 349.5322.8–362.2 | 271.3246.1–293.5 |
| 2092 | 349.1323.4–361.1 | 270.6248.3–291.9 |
| 2093 | 351.3334.4–361.4 | 272.4254.3–289.2 |
| 2094 | 350.5327–362.4 | 274254.8–290.2 |
| 2095 | 350.8330.1–361.5 | 273.5251.8–291.6 |
| 2096 | 350.3325.2–363 | 273.9252.1–292.5 |
| 2097 | 348.2322.6–360.9 | 270.8246–292.1 |
| 2098 | 350.1327.6–361.4 | 271.1248.3–290.6 |
| 2099 | 350.1323.3–362.4 | 271.8250.5–291.1 |
| 2100 | 351323.1–362.9 | 273.4254–291.9 |
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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
中非共和国与乍得对比
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军用
- 军费开支中非共和国:2025 年为 GDP 的 2.33%乍得:2025 年为 GDP 的 3.19%
- 军费开支(美元)中非共和国:2025 年为 US$6800万乍得:2025 年为 US$5.98亿
- 人均军费开支中非共和国:2025 年为 US$14乍得:2025 年为 US$31
- 军费占政府支出比例中非共和国:2025 年为 12.5%(占政府支出)乍得:2025 年为 15.5%(占政府支出)
- 武装部队人员中非共和国:2020 年为 10,000 人乍得:2020 年为 45,000 人
- 国家实力中非共和国:2022 年为 0.03%(占全球实力)乍得:2022 年为 0.1%(占全球实力)
- 武装部队占劳动力比例中非共和国:2020 年为 0.54%(占劳动力)乍得:2020 年为 0.85%(占劳动力)
- 武器进口中非共和国:2023 年为 4300万 TIV乍得:2025 年为 400万 TIV