利比亚与尼日尔对比
利比亚与尼日尔:热带夜
2014 年热带夜:利比亚为 138.1 夜,尼日尔为 221.6 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日尔的数值较高,高出 83.5 夜,是利比亚的 1.6 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,尼日尔的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年利比亚为 172.3 夜,尼日尔为 251.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 利比亚 | 尼日尔 |
|---|---|---|
| 2014 | 138.1 | 221.6 |
| 2013 | 137.8 | 216.1 |
| 2012 | 138.4 | 220.8 |
| 2011 | 139.2 | 220.1 |
| 2010 | 136.9 | 219.1 |
| 2009 | 134.6 | 217.2 |
| 2008 | 137.9 | 216.8 |
| 2007 | 134.2 | 216.9 |
| 2006 | 134.3 | 214.3 |
| 2005 | 135.4 | 213.6 |
| 2004 | 134.1 | 213.6 |
| 2003 | 134.3 | 215.5 |
| 2002 | 133.8 | 214.6 |
| 2001 | 131.4 | 213.4 |
| 2000 | 128.8 | 211.2 |
| 1999 | 126.8 | 210.4 |
| 1998 | 126 | 207.7 |
| 1997 | 126.7 | 211.5 |
| 1996 | 124.7 | 208.6 |
| 1995 | 123.8 | 208.3 |
| 1994 | 122 | 207.8 |
| 1993 | 117.9 | 202.6 |
| 1992 | 118.6 | 203.4 |
| 1991 | 125.4 | 209.4 |
| 1990 | 123.4 | 208.1 |
| 1989 | 119.5 | 206 |
| 1988 | 116.9 | 203 |
| 1987 | 116.8 | 204.9 |
| 1986 | 123.6 | 206.8 |
| 1985 | 117.9 | 203.9 |
| 1984 | 113.4 | 201.8 |
| 1983 | 112.8 | 200.5 |
| 1982 | 114 | 201.9 |
| 1981 | 117 | 204.3 |
| 1980 | 118.8 | 200.6 |
| 1979 | 112 | 200.5 |
| 1978 | 116.9 | 202 |
| 1977 | 112.2 | 203.8 |
| 1976 | 116.5 | 201.7 |
| 1975 | 113.1 | 199 |
| 1974 | 112.4 | 200.6 |
| 1973 | 116.2 | 202.6 |
| 1972 | 114.6 | 200.7 |
| 1971 | 111.4 | 200.8 |
| 1970 | 112.2 | 199.8 |
| 1969 | 108.3 | 196.1 |
| 1968 | 111.9 | 200.3 |
| 1967 | 111.4 | 196.6 |
| 1966 | 109.5 | 198.2 |
| 1965 | 105.7 | 199 |
| 1964 | 108.6 | 199.2 |
| 1963 | 112.3 | 196.7 |
| 1962 | 111.9 | 201.1 |
| 1961 | 110.5 | 198.2 |
| 1960 | 116.6 | 203.2 |
| 1959 | 113.5 | 201.6 |
| 1958 | 113.6 | 199.2 |
| 1957 | 114.9 | 201.1 |
| 1956 | 113.3 | 199.6 |
| 1955 | 112.5 | 199.7 |
| 1954 | 110.9 | 201.1 |
| 1953 | 113.6 | 196.5 |
| 1952 | 111.6 | 197.9 |
| 1951 | 111.5 | 199.8 |
| 1950 | 109.4 | 200.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 利比亚 | 尼日尔 |
|---|---|---|
| 2015 | 140.5122.7–155 | 218.8202.8–235.8 |
| 2016 | 140.8126.8–152.9 | 217.7201.8–230.6 |
| 2017 | 146128.5–159.7 | 222.4205.2–237.4 |
| 2018 | 140.6121.8–159.1 | 220.5206.3–238.8 |
| 2019 | 144.3121.2–156.8 | 219.1201.8–238.1 |
| 2020 | 143.7126.3–158.3 | 220.9206.9–234.7 |
| 2021 | 144.7131.1–159 | 222.8208.2–240.2 |
| 2022 | 146.2129.6–163.7 | 226.3209.7–239.2 |
| 2023 | 144.7131.2–158.3 | 223.2206.6–238.4 |
| 2024 | 148.8135.3–162.1 | 228.4214.3–242.9 |
| 2025 | 148131.8–160.5 | 226.7211.2–241 |
| 2026 | 148.9135.9–160.7 | 226.3210–243.1 |
| 2027 | 146.2129.7–158.7 | 228.5209.9–241.1 |
| 2028 | 146133.3–161.9 | 227.1211.9–240.2 |
| 2029 | 148.6134.1–161.5 | 230.4213.3–247.1 |
| 2030 | 148.3131.9–159.9 | 226.4211.6–242.2 |
| 2031 | 149132.5–165.3 | 230.1210.8–247.1 |
| 2032 | 151.7137.6–165 | 228.7212.3–241 |
| 2033 | 152.7134.7–163.5 | 229.9214.9–245.4 |
| 2034 | 152.1136.4–166.8 | 229.5212.1–244.9 |
| 2035 | 153.3136.3–168.5 | 232.3217.5–248 |
| 2036 | 148.9135.3–162.7 | 230.2213.7–244.6 |
| 2037 | 150.2136.1–164.4 | 233.2215.1–246.5 |
| 2038 | 153.9139.1–169.1 | 234.3218.2–249.7 |
| 2039 | 154.2134.7–172.2 | 231214.2–247.1 |
| 2040 | 155.4140.4–168.6 | 230.8214.8–247.5 |
| 2041 | 154.4138.9–167.4 | 232.6218.6–252.9 |
| 2042 | 158.8139–173.8 | 233.8216.2–250.5 |
| 2043 | 156143.6–167.9 | 232.5217.8–245.8 |
| 2044 | 153.3138.2–169.2 | 233.8218.2–250.1 |
| 2045 | 157.6140–169.7 | 233.6218.1–249.7 |
| 2046 | 157139.9–170.8 | 234.3217–250.2 |
| 2047 | 157.1142.6–171.9 | 238.4224.3–253.1 |
| 2048 | 156.8144.9–168.2 | 238221.4–254 |
| 2049 | 156.4141.9–171.2 | 237.7217.4–253 |
| 2050 | 160.2144.6–172.3 | 238.2220.7–254.5 |
| 2051 | 156.9142.4–172.3 | 236.3220.6–254.7 |
| 2052 | 160.6147.6–173.2 | 239.5224.3–255.8 |
| 2053 | 160.4145.8–172.2 | 236.3223.9–255.6 |
| 2054 | 160143.6–176.2 | 239.4220.2–257.9 |
| 2055 | 161.7149–173.4 | 238.6223.7–254.7 |
| 2056 | 157.7140.4–173.6 | 239214.7–260.3 |
| 2057 | 158.9142.3–177.5 | 240.4223–256.3 |
| 2058 | 161.7145.2–179.2 | 238.2220.2–255.7 |
| 2059 | 165.2147.4–180.9 | 243.9224.6–262.7 |
| 2060 | 162.5143.4–179.2 | 239.8222.6–260 |
| 2061 | 162.8147.1–178.6 | 242.5224.9–258.5 |
| 2062 | 163.6147.2–177.4 | 241.6222.4–259.8 |
| 2063 | 158.9144–174.4 | 241.3220.9–255.2 |
| 2064 | 164.6146.1–179 | 244.4225.9–259.5 |
| 2065 | 164.6149.1–179 | 242.8226.5–262.4 |
| 2066 | 162.6144.6–179.3 | 245.6227–263.5 |
| 2067 | 168152–179.9 | 240.7224.9–262 |
| 2068 | 167.1148–184.3 | 244224.3–265.4 |
| 2069 | 167.1149.7–182.7 | 243.9225.5–261.6 |
| 2070 | 164.8147.9–184.1 | 243.1225.6–261.3 |
| 2071 | 166.9147.5–183.3 | 246.1230.3–264 |
| 2072 | 171.2152.9–181.9 | 247.9229.9–263.7 |
| 2073 | 165.5148.3–180.1 | 243.4225.4–262.8 |
| 2074 | 163.1144.5–182 | 243.2224.4–264.6 |
| 2075 | 164.5148.4–182.4 | 244.3230.2–263.3 |
| 2076 | 169.6149.7–184.9 | 246.5228.5–266.6 |
| 2077 | 171.2149.1–183.6 | 250.1232.3–267.4 |
| 2078 | 171.6153.1–183.2 | 249.2230.8–264.5 |
| 2079 | 168.4149.8–182.8 | 244.4228.7–263.8 |
| 2080 | 169.4152.6–183 | 248.8230.4–267 |
| 2081 | 166.3147.4–180.8 | 247227.8–268.1 |
| 2082 | 168.9153.2–184.9 | 247230.6–264.4 |
| 2083 | 166.9151.7–186.5 | 247.3230.7–267.5 |
| 2084 | 172.9151.6–186.4 | 247.7229.4–265.2 |
| 2085 | 168.7152.1–183.4 | 248.9227–264.2 |
| 2086 | 173.7157.5–188.1 | 250.4230.9–269.5 |
| 2087 | 167.7145–184.9 | 245.8226.2–266.9 |
| 2088 | 169.8153–188.3 | 248.3226.7–271.1 |
| 2089 | 169.4154–188.9 | 251.9232.5–269.5 |
| 2090 | 169.3149.9–188.3 | 249.7227.7–267.4 |
| 2091 | 172.9156.2–187.9 | 248.9230.5–272.2 |
| 2092 | 172.2154.1–186 | 251229.8–274 |
| 2093 | 171.8154.8–187.9 | 249.9234.8–267 |
| 2094 | 172.8157.2–185.2 | 252.2234–267.5 |
| 2095 | 170.8155.1–186.2 | 251.1233–270.7 |
| 2096 | 170.1156.2–189.7 | 250.8234.8–270.4 |
| 2097 | 169.4154.6–183.2 | 250.2227.8–270.8 |
| 2098 | 169.8151.1–185.7 | 250.1228.1–268.5 |
| 2099 | 169.3156.5–188.9 | 251.9232.2–268.2 |
| 2100 | 172.3153.7–190.8 | 251.1234.5–271.5 |
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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
利比亚与尼日尔对比
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军用
- 军费开支利比亚:2023 年为 GDP 的 3.57%尼日尔:2025 年为 GDP 的 2.14%
- 军费开支(美元)利比亚:2023 年为 US$16亿尼日尔:2025 年为 US$4.5亿
- 人均军费开支利比亚:2023 年为 US$216尼日尔:2025 年为 US$18
- 军费占政府支出比例利比亚:2023 年为 5.5%(占政府支出)尼日尔:2025 年为 15.2%(占政府支出)
- 武装部队人员利比亚:2020 年为 0 人尼日尔:2020 年为 10,000 人
- 国家实力利比亚:2022 年为 0.08%(占全球实力)尼日尔:2022 年为 0.11%(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)尼日尔:2020 年为 0.11%(占劳动力)
- 武器进口利比亚:2024 年为 500万 TIV尼日尔:2025 年为 400万 TIV
- 武器出口利比亚:2016 年为 0 TIV尼日尔:1973 年为 0 TIV