乍得与利比亚对比
乍得与利比亚:热带夜
2014 年热带夜:乍得为 237.6 夜,利比亚为 138.1 夜(CMIP6 气候模型中位数模拟)。 2014 年乍得的数值较高,高出 99.5 夜,是利比亚的 1.72 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,乍得的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年乍得为 273.4 夜,利比亚为 172.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 乍得 | 利比亚 |
|---|---|---|
| 2014 | 237.6 | 138.1 |
| 2013 | 231.8 | 137.8 |
| 2012 | 237.9 | 138.4 |
| 2011 | 236.2 | 139.2 |
| 2010 | 234.8 | 136.9 |
| 2009 | 231.5 | 134.6 |
| 2008 | 230.8 | 137.9 |
| 2007 | 229.6 | 134.2 |
| 2006 | 229.5 | 134.3 |
| 2005 | 228.8 | 135.4 |
| 2004 | 228 | 134.1 |
| 2003 | 230.9 | 134.3 |
| 2002 | 229.8 | 133.8 |
| 2001 | 230.2 | 131.4 |
| 2000 | 226.4 | 128.8 |
| 1999 | 225.1 | 126.8 |
| 1998 | 222.9 | 126 |
| 1997 | 226.3 | 126.7 |
| 1996 | 222.4 | 124.7 |
| 1995 | 222.3 | 123.8 |
| 1994 | 221.4 | 122 |
| 1993 | 215.6 | 117.9 |
| 1992 | 214.4 | 118.6 |
| 1991 | 223 | 125.4 |
| 1990 | 222.8 | 123.4 |
| 1989 | 220 | 119.5 |
| 1988 | 219.9 | 116.9 |
| 1987 | 218.4 | 116.8 |
| 1986 | 222.6 | 123.6 |
| 1985 | 218 | 117.9 |
| 1984 | 216.1 | 113.4 |
| 1983 | 213.7 | 112.8 |
| 1982 | 214.8 | 114 |
| 1981 | 218.1 | 117 |
| 1980 | 215 | 118.8 |
| 1979 | 214.5 | 112 |
| 1978 | 216 | 116.9 |
| 1977 | 216.2 | 112.2 |
| 1976 | 215.7 | 116.5 |
| 1975 | 212.2 | 113.1 |
| 1974 | 213.8 | 112.4 |
| 1973 | 216.9 | 116.2 |
| 1972 | 215.2 | 114.6 |
| 1971 | 212.6 | 111.4 |
| 1970 | 214.3 | 112.2 |
| 1969 | 210.3 | 108.3 |
| 1968 | 212.8 | 111.9 |
| 1967 | 209.1 | 111.4 |
| 1966 | 210.8 | 109.5 |
| 1965 | 210.3 | 105.7 |
| 1964 | 210.6 | 108.6 |
| 1963 | 207.5 | 112.3 |
| 1962 | 214.7 | 111.9 |
| 1961 | 212.3 | 110.5 |
| 1960 | 217.3 | 116.6 |
| 1959 | 212.5 | 113.5 |
| 1958 | 213.8 | 113.6 |
| 1957 | 214 | 114.9 |
| 1956 | 213.4 | 113.3 |
| 1955 | 213.8 | 112.5 |
| 1954 | 214.3 | 110.9 |
| 1953 | 211.3 | 113.6 |
| 1952 | 213.1 | 111.6 |
| 1951 | 213.8 | 111.5 |
| 1950 | 213.1 | 109.4 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 乍得 | 利比亚 |
|---|---|---|
| 2015 | 235.8215.6–253.1 | 140.5122.7–155 |
| 2016 | 233.3212.8–247.7 | 140.8126.8–152.9 |
| 2017 | 237.6218.6–253.1 | 146128.5–159.7 |
| 2018 | 235.8217.8–254.4 | 140.6121.8–159.1 |
| 2019 | 235.2213.3–255.6 | 144.3121.2–156.8 |
| 2020 | 237217.1–255 | 143.7126.3–158.3 |
| 2021 | 239.6220–258.2 | 144.7131.1–159 |
| 2022 | 240.4223.1–258.2 | 146.2129.6–163.7 |
| 2023 | 239.1216.7–256.4 | 144.7131.2–158.3 |
| 2024 | 246.7227.6–261.2 | 148.8135.3–162.1 |
| 2025 | 243.2223.9–259.4 | 148131.8–160.5 |
| 2026 | 242.9220.8–260.9 | 148.9135.9–160.7 |
| 2027 | 242.3221.2–258.6 | 146.2129.7–158.7 |
| 2028 | 242.7225.4–259.7 | 146133.3–161.9 |
| 2029 | 246.3227.2–264.1 | 148.6134.1–161.5 |
| 2030 | 244.7225.8–261.1 | 148.3131.9–159.9 |
| 2031 | 246.8224.7–264.8 | 149132.5–165.3 |
| 2032 | 244.3226.5–260.2 | 151.7137.6–165 |
| 2033 | 247.6228.7–266.1 | 152.7134.7–163.5 |
| 2034 | 247.8224.9–263.9 | 152.1136.4–166.8 |
| 2035 | 250.9230.3–268.9 | 153.3136.3–168.5 |
| 2036 | 246.7226.3–264.1 | 148.9135.3–162.7 |
| 2037 | 249.9230.3–266.2 | 150.2136.1–164.4 |
| 2038 | 252.4233.4–268.7 | 153.9139.1–169.1 |
| 2039 | 250230.8–267.5 | 154.2134.7–172.2 |
| 2040 | 248.9227–266.8 | 155.4140.4–168.6 |
| 2041 | 252230–270.9 | 154.4138.9–167.4 |
| 2042 | 250.4232–271.8 | 158.8139–173.8 |
| 2043 | 251.1232–265.5 | 156143.6–167.9 |
| 2044 | 251.4230.2–271.3 | 153.3138.2–169.2 |
| 2045 | 252.3230.8–270.2 | 157.6140–169.7 |
| 2046 | 253.6231.9–272.3 | 157139.9–170.8 |
| 2047 | 254.6236.7–274.4 | 157.1142.6–171.9 |
| 2048 | 254.4236.6–273.6 | 156.8144.9–168.2 |
| 2049 | 256235.4–272 | 156.4141.9–171.2 |
| 2050 | 255.9234.4–276.1 | 160.2144.6–172.3 |
| 2051 | 256.1237.8–275.9 | 156.9142.4–172.3 |
| 2052 | 258.3237.1–273.9 | 160.6147.6–173.2 |
| 2053 | 255.9234.9–275 | 160.4145.8–172.2 |
| 2054 | 260.6233–279.6 | 160143.6–176.2 |
| 2055 | 259.9239.1–276.6 | 161.7149–173.4 |
| 2056 | 259.4233.3–279 | 157.7140.4–173.6 |
| 2057 | 262.5240.8–278.4 | 158.9142.3–177.5 |
| 2058 | 259.3239.2–275.5 | 161.7145.2–179.2 |
| 2059 | 263.7240.5–282.9 | 165.2147.4–180.9 |
| 2060 | 259.3239.3–280 | 162.5143.4–179.2 |
| 2061 | 261.1240.7–281.2 | 162.8147.1–178.6 |
| 2062 | 261.4238.1–281.4 | 163.6147.2–177.4 |
| 2063 | 263.4239.6–278.6 | 158.9144–174.4 |
| 2064 | 263.9244.3–283.2 | 164.6146.1–179 |
| 2065 | 263.7247.7–283.1 | 164.6149.1–179 |
| 2066 | 265.2245.7–285.6 | 162.6144.6–179.3 |
| 2067 | 262.5242.8–283.8 | 168152–179.9 |
| 2068 | 266.8241.4–286.3 | 167.1148–184.3 |
| 2069 | 262.7242.8–283.1 | 167.1149.7–182.7 |
| 2070 | 264.9243.5–284.9 | 164.8147.9–184.1 |
| 2071 | 267.9248.5–286 | 166.9147.5–183.3 |
| 2072 | 269.2246.8–285.6 | 171.2152.9–181.9 |
| 2073 | 263.7241.6–284.2 | 165.5148.3–180.1 |
| 2074 | 264239.7–285.1 | 163.1144.5–182 |
| 2075 | 266.5246.7–287 | 164.5148.4–182.4 |
| 2076 | 267.8245.8–285.7 | 169.6149.7–184.9 |
| 2077 | 269.5247.1–290.8 | 171.2149.1–183.6 |
| 2078 | 268.6247.9–286.4 | 171.6153.1–183.2 |
| 2079 | 266.4247.9–286.3 | 168.4149.8–182.8 |
| 2080 | 269.4249.6–289.4 | 169.4152.6–183 |
| 2081 | 267.4247.1–291.8 | 166.3147.4–180.8 |
| 2082 | 266.7249.2–286.8 | 168.9153.2–184.9 |
| 2083 | 269.8248.9–287.6 | 166.9151.7–186.5 |
| 2084 | 268.4243.4–289.7 | 172.9151.6–186.4 |
| 2085 | 270.8251.2–287.4 | 168.7152.1–183.4 |
| 2086 | 270.6249.6–291.5 | 173.7157.5–188.1 |
| 2087 | 266.3246.2–289.2 | 167.7145–184.9 |
| 2088 | 269.2245.6–290.7 | 169.8153–188.3 |
| 2089 | 270.4251.1–289 | 169.4154–188.9 |
| 2090 | 270.9245.5–291.1 | 169.3149.9–188.3 |
| 2091 | 271.3246.1–293.5 | 172.9156.2–187.9 |
| 2092 | 270.6248.3–291.9 | 172.2154.1–186 |
| 2093 | 272.4254.3–289.2 | 171.8154.8–187.9 |
| 2094 | 274254.8–290.2 | 172.8157.2–185.2 |
| 2095 | 273.5251.8–291.6 | 170.8155.1–186.2 |
| 2096 | 273.9252.1–292.5 | 170.1156.2–189.7 |
| 2097 | 270.8246–292.1 | 169.4154.6–183.2 |
| 2098 | 271.1248.3–290.6 | 169.8151.1–185.7 |
| 2099 | 271.8250.5–291.1 | 169.3156.5–188.9 |
| 2100 | 273.4254–291.9 | 172.3153.7–190.8 |
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
乍得与利比亚对比
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军用
- 军费开支乍得:2025 年为 GDP 的 3.19%利比亚:2023 年为 GDP 的 3.57%
- 军费开支(美元)乍得:2025 年为 US$5.98亿利比亚:2023 年为 US$16亿
- 人均军费开支乍得:2025 年为 US$31利比亚:2023 年为 US$216
- 军费占政府支出比例乍得:2025 年为 15.5%(占政府支出)利比亚:2023 年为 5.5%(占政府支出)
- 武装部队人员乍得:2020 年为 45,000 人利比亚:2020 年为 0 人
- 国家实力乍得:2022 年为 0.1%(占全球实力)利比亚:2022 年为 0.08%(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)利比亚:2020 年为 0%(占劳动力)
- 武器进口乍得:2025 年为 400万 TIV利比亚:2024 年为 500万 TIV
- 武器出口乍得:1987 年为 2000万 TIV利比亚:2016 年为 0 TIV