利比亚与苏丹对比
利比亚与苏丹:热带夜
2014 年热带夜:利比亚为 138.1 夜,苏丹为 242.4 夜(CMIP6 气候模型中位数模拟)。 2014 年苏丹的数值较高,高出 104.3 夜,是利比亚的 1.76 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,苏丹的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年利比亚为 172.3 夜,苏丹为 278.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 利比亚 | 苏丹 |
|---|---|---|
| 2014 | 138.1 | 242.4 |
| 2013 | 137.8 | 240 |
| 2012 | 138.4 | 242 |
| 2011 | 139.2 | 242.2 |
| 2010 | 136.9 | 240.6 |
| 2009 | 134.6 | 236.5 |
| 2008 | 137.9 | 237.1 |
| 2007 | 134.2 | 236 |
| 2006 | 134.3 | 235.3 |
| 2005 | 135.4 | 233.1 |
| 2004 | 134.1 | 233.5 |
| 2003 | 134.3 | 235.6 |
| 2002 | 133.8 | 234.7 |
| 2001 | 131.4 | 235.4 |
| 2000 | 128.8 | 230.5 |
| 1999 | 126.8 | 232.1 |
| 1998 | 126 | 230.2 |
| 1997 | 126.7 | 231.1 |
| 1996 | 124.7 | 227.3 |
| 1995 | 123.8 | 227.8 |
| 1994 | 122 | 225.3 |
| 1993 | 117.9 | 219.1 |
| 1992 | 118.6 | 217.8 |
| 1991 | 125.4 | 227.3 |
| 1990 | 123.4 | 227.5 |
| 1989 | 119.5 | 223 |
| 1988 | 116.9 | 223.1 |
| 1987 | 116.8 | 224.4 |
| 1986 | 123.6 | 226.4 |
| 1985 | 117.9 | 222.1 |
| 1984 | 113.4 | 220.7 |
| 1983 | 112.8 | 217 |
| 1982 | 114 | 216.3 |
| 1981 | 117 | 223.2 |
| 1980 | 118.8 | 220 |
| 1979 | 112 | 218.4 |
| 1978 | 116.9 | 218.5 |
| 1977 | 112.2 | 219.3 |
| 1976 | 116.5 | 220.1 |
| 1975 | 113.1 | 215.7 |
| 1974 | 112.4 | 217.5 |
| 1973 | 116.2 | 220 |
| 1972 | 114.6 | 217.9 |
| 1971 | 111.4 | 215.5 |
| 1970 | 112.2 | 217 |
| 1969 | 108.3 | 213.1 |
| 1968 | 111.9 | 214 |
| 1967 | 111.4 | 210.3 |
| 1966 | 109.5 | 213.3 |
| 1965 | 105.7 | 213.4 |
| 1964 | 108.6 | 213.2 |
| 1963 | 112.3 | 210.1 |
| 1962 | 111.9 | 217 |
| 1961 | 110.5 | 216.9 |
| 1960 | 116.6 | 221.3 |
| 1959 | 113.5 | 217.8 |
| 1958 | 113.6 | 216.2 |
| 1957 | 114.9 | 218.9 |
| 1956 | 113.3 | 217.2 |
| 1955 | 112.5 | 216.6 |
| 1954 | 110.9 | 218.9 |
| 1953 | 113.6 | 215.1 |
| 1952 | 111.6 | 216.4 |
| 1951 | 111.5 | 218.5 |
| 1950 | 109.4 | 214.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 利比亚 | 苏丹 |
|---|---|---|
| 2015 | 140.5122.7–155 | 242.3225.3–258.3 |
| 2016 | 140.8126.8–152.9 | 241.4223.3–254.1 |
| 2017 | 146128.5–159.7 | 243.2223–259.1 |
| 2018 | 140.6121.8–159.1 | 242.3226.4–258.5 |
| 2019 | 144.3121.2–156.8 | 243.1221.7–260.4 |
| 2020 | 143.7126.3–158.3 | 244.9225.9–261.7 |
| 2021 | 144.7131.1–159 | 245.6229.1–261.5 |
| 2022 | 146.2129.6–163.7 | 249230.9–262.3 |
| 2023 | 144.7131.2–158.3 | 247.1226.8–263.1 |
| 2024 | 148.8135.3–162.1 | 251.5232.8–266.1 |
| 2025 | 148131.8–160.5 | 250.7232.4–265.6 |
| 2026 | 148.9135.9–160.7 | 250230.8–266.6 |
| 2027 | 146.2129.7–158.7 | 248.8228.4–265.6 |
| 2028 | 146133.3–161.9 | 249232.2–263.1 |
| 2029 | 148.6134.1–161.5 | 251.4232.1–266 |
| 2030 | 148.3131.9–159.9 | 252235.4–266.7 |
| 2031 | 149132.5–165.3 | 253.3234.4–268.9 |
| 2032 | 151.7137.6–165 | 250.4232.3–266.6 |
| 2033 | 152.7134.7–163.5 | 254.4235.3–269.4 |
| 2034 | 152.1136.4–166.8 | 254.2234.5–269.9 |
| 2035 | 153.3136.3–168.5 | 258.3240.2–273.6 |
| 2036 | 148.9135.3–162.7 | 252.8235.6–268.6 |
| 2037 | 150.2136.1–164.4 | 256.7238.6–271.8 |
| 2038 | 153.9139.1–169.1 | 258.7244.8–272.1 |
| 2039 | 154.2134.7–172.2 | 259.5241.2–272.5 |
| 2040 | 155.4140.4–168.6 | 256.4236.7–272.3 |
| 2041 | 154.4138.9–167.4 | 259.1241.2–274.5 |
| 2042 | 158.8139–173.8 | 258.7242–274.7 |
| 2043 | 156143.6–167.9 | 258.1240.3–272.6 |
| 2044 | 153.3138.2–169.2 | 257.3238.6–274.7 |
| 2045 | 157.6140–169.7 | 258.8243.1–276.2 |
| 2046 | 157139.9–170.8 | 261.1241.7–277.6 |
| 2047 | 157.1142.6–171.9 | 261.4244.6–278.4 |
| 2048 | 156.8144.9–168.2 | 260.4243.4–279.5 |
| 2049 | 156.4141.9–171.2 | 261.9242.6–275.9 |
| 2050 | 160.2144.6–172.3 | 263.5245.4–279 |
| 2051 | 156.9142.4–172.3 | 263.6246.6–278.8 |
| 2052 | 160.6147.6–173.2 | 263.8248.7–278.3 |
| 2053 | 160.4145.8–172.2 | 262.8242.4–279.2 |
| 2054 | 160143.6–176.2 | 266.3246.6–282.9 |
| 2055 | 161.7149–173.4 | 265.6245.9–281.4 |
| 2056 | 157.7140.4–173.6 | 264.1242.6–281.5 |
| 2057 | 158.9142.3–177.5 | 266.4247.6–283.4 |
| 2058 | 161.7145.2–179.2 | 265.2247.4–280.3 |
| 2059 | 165.2147.4–180.9 | 268.4249.6–285.4 |
| 2060 | 162.5143.4–179.2 | 263.6246.7–284.4 |
| 2061 | 162.8147.1–178.6 | 266.9250.1–281.9 |
| 2062 | 163.6147.2–177.4 | 266.4248.5–285 |
| 2063 | 158.9144–174.4 | 267.1246.9–283.4 |
| 2064 | 164.6146.1–179 | 269250.7–284.7 |
| 2065 | 164.6149.1–179 | 269.8253.9–285.6 |
| 2066 | 162.6144.6–179.3 | 271.4251.9–287.3 |
| 2067 | 168152–179.9 | 270.9250–288.4 |
| 2068 | 167.1148–184.3 | 271.9251.7–289.8 |
| 2069 | 167.1149.7–182.7 | 268251.1–286.2 |
| 2070 | 164.8147.9–184.1 | 269252.3–285.8 |
| 2071 | 166.9147.5–183.3 | 275.5254.1–290.4 |
| 2072 | 171.2152.9–181.9 | 273.3254.2–289.4 |
| 2073 | 165.5148.3–180.1 | 271.9250.7–287.6 |
| 2074 | 163.1144.5–182 | 270.9249–290.1 |
| 2075 | 164.5148.4–182.4 | 273.1254–291.9 |
| 2076 | 169.6149.7–184.9 | 272.7255.2–290.9 |
| 2077 | 171.2149.1–183.6 | 274.6255.2–292.7 |
| 2078 | 171.6153.1–183.2 | 274.3255.6–291.2 |
| 2079 | 168.4149.8–182.8 | 272255.2–288.5 |
| 2080 | 169.4152.6–183 | 276.6256–292.2 |
| 2081 | 166.3147.4–180.8 | 275.1254.1–294.8 |
| 2082 | 168.9153.2–184.9 | 272.9258.7–288.6 |
| 2083 | 166.9151.7–186.5 | 276.5258–291.7 |
| 2084 | 172.9151.6–186.4 | 275.4253–294.9 |
| 2085 | 168.7152.1–183.4 | 275.3258.6–291.6 |
| 2086 | 173.7157.5–188.1 | 276.4256.9–296.6 |
| 2087 | 167.7145–184.9 | 273.5253.1–293.3 |
| 2088 | 169.8153–188.3 | 273.6253.7–293.6 |
| 2089 | 169.4154–188.9 | 276.5256.6–293.4 |
| 2090 | 169.3149.9–188.3 | 276.6256.4–294.6 |
| 2091 | 172.9156.2–187.9 | 277.4256.4–296.6 |
| 2092 | 172.2154.1–186 | 274.6254.3–294.9 |
| 2093 | 171.8154.8–187.9 | 278261.9–292.1 |
| 2094 | 172.8157.2–185.2 | 280.3262.2–294 |
| 2095 | 170.8155.1–186.2 | 277.5262.6–294 |
| 2096 | 170.1156.2–189.7 | 279.7258.7–297 |
| 2097 | 169.4154.6–183.2 | 276.3254.1–297.6 |
| 2098 | 169.8151.1–185.7 | 277.7258.2–295.5 |
| 2099 | 169.3156.5–188.9 | 276.8257.2–296.2 |
| 2100 | 172.3153.7–190.8 | 278.6259–294.3 |
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
利比亚与苏丹对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支利比亚:2023 年为 GDP 的 3.57%苏丹:2021 年为 GDP 的 0.93%
- 军费开支(美元)利比亚:2023 年为 US$16亿苏丹:2021 年为 US$27.7亿
- 人均军费开支利比亚:2023 年为 US$216苏丹:2021 年为 US$8
- 军费占政府支出比例利比亚:2023 年为 5.5%(占政府支出)苏丹:2021 年为 9.5%(占政府支出)
- 武装部队人员利比亚:2020 年为 0 人苏丹:2020 年为 144,000 人
- 国家实力利比亚:2022 年为 0.08%(占全球实力)苏丹:2022 年为 0.37%(占全球实力)
- 武装部队占劳动力比例利比亚:2020 年为 0%(占劳动力)苏丹:2020 年为 1.34%(占劳动力)
- 武器进口利比亚:2024 年为 500万 TIV苏丹:2025 年为 5700万 TIV
- 武器出口利比亚:2016 年为 0 TIV苏丹:2013 年为 1100万 TIV