阿尔及利亚与尼日尔对比
阿尔及利亚与尼日尔:热带夜
2014 年热带夜:阿尔及利亚为 147.8 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 73.8 夜,是阿尔及利亚的 1.5 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 年阿尔及利亚为 177.5 夜,尼日尔为 251.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 阿尔及利亚 | 尼日尔 |
|---|---|---|
| 2014 | 147.8 | 221.6 |
| 2013 | 149.2 | 216.1 |
| 2012 | 149.1 | 220.8 |
| 2011 | 149.8 | 220.1 |
| 2010 | 148.7 | 219.1 |
| 2009 | 146.5 | 217.2 |
| 2008 | 148.3 | 216.8 |
| 2007 | 146.6 | 216.9 |
| 2006 | 146.4 | 214.3 |
| 2005 | 145.5 | 213.6 |
| 2004 | 146 | 213.6 |
| 2003 | 145 | 215.5 |
| 2002 | 144.9 | 214.6 |
| 2001 | 144.7 | 213.4 |
| 2000 | 144 | 211.2 |
| 1999 | 141.4 | 210.4 |
| 1998 | 142.2 | 207.7 |
| 1997 | 141.4 | 211.5 |
| 1996 | 139.6 | 208.6 |
| 1995 | 137.5 | 208.3 |
| 1994 | 138 | 207.8 |
| 1993 | 135.3 | 202.6 |
| 1992 | 131.6 | 203.4 |
| 1991 | 138.7 | 209.4 |
| 1990 | 141.6 | 208.1 |
| 1989 | 137.6 | 206 |
| 1988 | 137.3 | 203 |
| 1987 | 136.4 | 204.9 |
| 1986 | 136.2 | 206.8 |
| 1985 | 133.4 | 203.9 |
| 1984 | 135.2 | 201.8 |
| 1983 | 133.9 | 200.5 |
| 1982 | 136.5 | 201.9 |
| 1981 | 134.7 | 204.3 |
| 1980 | 133.5 | 200.6 |
| 1979 | 135 | 200.5 |
| 1978 | 134.8 | 202 |
| 1977 | 133.3 | 203.8 |
| 1976 | 133.8 | 201.7 |
| 1975 | 134 | 199 |
| 1974 | 130 | 200.6 |
| 1973 | 133.8 | 202.6 |
| 1972 | 133.3 | 200.7 |
| 1971 | 130.8 | 200.8 |
| 1970 | 128.7 | 199.8 |
| 1969 | 131.5 | 196.1 |
| 1968 | 131.3 | 200.3 |
| 1967 | 131 | 196.6 |
| 1966 | 131 | 198.2 |
| 1965 | 127.2 | 199 |
| 1964 | 131.7 | 199.2 |
| 1963 | 131 | 196.7 |
| 1962 | 132.6 | 201.1 |
| 1961 | 132.4 | 198.2 |
| 1960 | 134.4 | 203.2 |
| 1959 | 134.3 | 201.6 |
| 1958 | 133.8 | 199.2 |
| 1957 | 134.6 | 201.1 |
| 1956 | 132.8 | 199.6 |
| 1955 | 133.2 | 199.7 |
| 1954 | 130.2 | 201.1 |
| 1953 | 130.1 | 196.5 |
| 1952 | 132.8 | 197.9 |
| 1951 | 133.7 | 199.8 |
| 1950 | 131.7 | 200.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 阿尔及利亚 | 尼日尔 |
|---|---|---|
| 2015 | 149.7136.5–163.3 | 218.8202.8–235.8 |
| 2016 | 148.4136.2–163.8 | 217.7201.8–230.6 |
| 2017 | 155139.3–169.4 | 222.4205.2–237.4 |
| 2018 | 154.4138.5–167.4 | 220.5206.3–238.8 |
| 2019 | 153.9139.9–167.9 | 219.1201.8–238.1 |
| 2020 | 152.8138.9–166.4 | 220.9206.9–234.7 |
| 2021 | 156.2142.9–168.2 | 222.8208.2–240.2 |
| 2022 | 157.3142.1–173.6 | 226.3209.7–239.2 |
| 2023 | 153.8139.7–166.7 | 223.2206.6–238.4 |
| 2024 | 157.2145.1–170.4 | 228.4214.3–242.9 |
| 2025 | 156142.2–170 | 226.7211.2–241 |
| 2026 | 158145.8–170.5 | 226.3210–243.1 |
| 2027 | 157.9144.9–172 | 228.5209.9–241.1 |
| 2028 | 159.1145.3–170.6 | 227.1211.9–240.2 |
| 2029 | 158.6145.9–171 | 230.4213.3–247.1 |
| 2030 | 157.3142.8–169.1 | 226.4211.6–242.2 |
| 2031 | 158.9145.5–174.1 | 230.1210.8–247.1 |
| 2032 | 162.1151.7–174.9 | 228.7212.3–241 |
| 2033 | 161.3144.7–173.9 | 229.9214.9–245.4 |
| 2034 | 161.5145.2–176.1 | 229.5212.1–244.9 |
| 2035 | 162.6149.6–177.8 | 232.3217.5–248 |
| 2036 | 161.7149.4–175.3 | 230.2213.7–244.6 |
| 2037 | 161.9147.5–176.4 | 233.2215.1–246.5 |
| 2038 | 164148–178 | 234.3218.2–249.7 |
| 2039 | 163.4147.7–179.3 | 231214.2–247.1 |
| 2040 | 163.8149.7–179 | 230.8214.8–247.5 |
| 2041 | 162.1147.9–175.2 | 232.6218.6–252.9 |
| 2042 | 165.2151.6–180.4 | 233.8216.2–250.5 |
| 2043 | 163.7150.7–174.1 | 232.5217.8–245.8 |
| 2044 | 164.1150.7–177.7 | 233.8218.2–250.1 |
| 2045 | 166.3153.8–177.7 | 233.6218.1–249.7 |
| 2046 | 165.5151.5–178.8 | 234.3217–250.2 |
| 2047 | 166.9151.1–182.8 | 238.4224.3–253.1 |
| 2048 | 166.9154.5–180.8 | 238221.4–254 |
| 2049 | 166.2153.1–178.7 | 237.7217.4–253 |
| 2050 | 168.1152.8–180.9 | 238.2220.7–254.5 |
| 2051 | 166.4152.8–181.4 | 236.3220.6–254.7 |
| 2052 | 167.9155.5–185.3 | 239.5224.3–255.8 |
| 2053 | 167.8153.5–183 | 236.3223.9–255.6 |
| 2054 | 169.9154.7–184.1 | 239.4220.2–257.9 |
| 2055 | 171.2156.6–185 | 238.6223.7–254.7 |
| 2056 | 169.6154.7–185 | 239214.7–260.3 |
| 2057 | 169.5154.9–186.3 | 240.4223–256.3 |
| 2058 | 168.8154.9–187.6 | 238.2220.2–255.7 |
| 2059 | 171157–188.4 | 243.9224.6–262.7 |
| 2060 | 171.7156.6–186.7 | 239.8222.6–260 |
| 2061 | 174160.5–186.9 | 242.5224.9–258.5 |
| 2062 | 170154.4–189.1 | 241.6222.4–259.8 |
| 2063 | 173.1158.9–187.6 | 241.3220.9–255.2 |
| 2064 | 171.3156.5–187.5 | 244.4225.9–259.5 |
| 2065 | 172.4158.1–185.8 | 242.8226.5–262.4 |
| 2066 | 172.7157.8–189.5 | 245.6227–263.5 |
| 2067 | 173.3158.5–188 | 240.7224.9–262 |
| 2068 | 174.6157.3–191.3 | 244224.3–265.4 |
| 2069 | 174.7158.7–188.1 | 243.9225.5–261.6 |
| 2070 | 173.3159.4–186.8 | 243.1225.6–261.3 |
| 2071 | 173.9159.5–192.1 | 246.1230.3–264 |
| 2072 | 176.4160–191 | 247.9229.9–263.7 |
| 2073 | 175.3160.4–192.4 | 243.4225.4–262.8 |
| 2074 | 176.7157.1–191.8 | 243.2224.4–264.6 |
| 2075 | 174.3158.7–193.2 | 244.3230.2–263.3 |
| 2076 | 176.3161.3–192.1 | 246.5228.5–266.6 |
| 2077 | 175.9160.3–194 | 250.1232.3–267.4 |
| 2078 | 180164.9–191.9 | 249.2230.8–264.5 |
| 2079 | 178157.2–194.5 | 244.4228.7–263.8 |
| 2080 | 178160.3–192.5 | 248.8230.4–267 |
| 2081 | 175.3161.2–192.8 | 247227.8–268.1 |
| 2082 | 177.2160.2–192.3 | 247230.6–264.4 |
| 2083 | 178.5161.1–195.6 | 247.3230.7–267.5 |
| 2084 | 180.1164.6–192.9 | 247.7229.4–265.2 |
| 2085 | 179.6159.9–197.5 | 248.9227–264.2 |
| 2086 | 179.8163.9–196.8 | 250.4230.9–269.5 |
| 2087 | 179160.6–195.3 | 245.8226.2–266.9 |
| 2088 | 179.3163.3–198.8 | 248.3226.7–271.1 |
| 2089 | 178.9163.6–197.4 | 251.9232.5–269.5 |
| 2090 | 180.5161.9–196.8 | 249.7227.7–267.4 |
| 2091 | 179.6164.9–197.5 | 248.9230.5–272.2 |
| 2092 | 181.6164.7–195.6 | 251229.8–274 |
| 2093 | 181.1162.6–199.4 | 249.9234.8–267 |
| 2094 | 180.6164.4–193.7 | 252.2234–267.5 |
| 2095 | 181.1164.5–195.8 | 251.1233–270.7 |
| 2096 | 180.7165.8–199.4 | 250.8234.8–270.4 |
| 2097 | 178.3162.2–193.1 | 250.2227.8–270.8 |
| 2098 | 180.4164.5–198.3 | 250.1228.1–268.5 |
| 2099 | 182165.3–199.3 | 251.9232.2–268.2 |
| 2100 | 177.5163.3–199.1 | 251.1234.5–271.5 |
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
阿尔及利亚与尼日尔对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支阿尔及利亚:2025 年为 GDP 的 8.83%尼日尔:2025 年为 GDP 的 2.14%
- 军费开支(美元)阿尔及利亚:2025 年为 US$241亿尼日尔:2025 年为 US$4.5亿
- 人均军费开支阿尔及利亚:2025 年为 US$540尼日尔:2025 年为 US$18
- 军费占政府支出比例阿尔及利亚:2025 年为 24.6%(占政府支出)尼日尔:2025 年为 15.2%(占政府支出)
- 武装部队人员阿尔及利亚:2020 年为 326,000 人尼日尔:2020 年为 10,000 人
- 国家实力阿尔及利亚:2022 年为 0.51%(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阿尔及利亚:2020 年为 2.81%(占劳动力)尼日尔:2020 年为 0.11%(占劳动力)
- 武器进口阿尔及利亚:2025 年为 1.08亿 TIV尼日尔:2025 年为 400万 TIV
- 武器出口阿尔及利亚:1984 年为 1200万 TIV尼日尔:1973 年为 0 TIV