埃塞俄比亚与几内亚对比
埃塞俄比亚与几内亚:热带夜
2014 年热带夜:埃塞俄比亚为 144.9 夜,几内亚为 286.6 夜(CMIP6 气候模型中位数模拟)。 2014 年几内亚的数值较高,高出 141.7 夜,是埃塞俄比亚的 1.98 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,几内亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年埃塞俄比亚为 201.7 夜,几内亚为 345.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 埃塞俄比亚 | 几内亚 |
|---|---|---|
| 2014 | 144.9 | 286.6 |
| 2013 | 145.1 | 285.3 |
| 2012 | 144.4 | 292.9 |
| 2011 | 145.6 | 288.8 |
| 2010 | 142.4 | 285.2 |
| 2009 | 140.3 | 282.5 |
| 2008 | 137.1 | 279 |
| 2007 | 138.2 | 278.9 |
| 2006 | 138.7 | 278.8 |
| 2005 | 138.1 | 278.9 |
| 2004 | 139.1 | 276 |
| 2003 | 138.8 | 279.6 |
| 2002 | 137.4 | 277.1 |
| 2001 | 139.2 | 279.8 |
| 2000 | 135.5 | 273.1 |
| 1999 | 132.6 | 267 |
| 1998 | 132.9 | 268.4 |
| 1997 | 132.7 | 266.6 |
| 1996 | 129.7 | 260.4 |
| 1995 | 127.8 | 260.3 |
| 1994 | 126.3 | 255 |
| 1993 | 122.5 | 246.6 |
| 1992 | 119.7 | 242.4 |
| 1991 | 129.5 | 264.3 |
| 1990 | 132.7 | 266.4 |
| 1989 | 129.4 | 259.7 |
| 1988 | 128.2 | 256.9 |
| 1987 | 126.4 | 258.4 |
| 1986 | 128.1 | 259.9 |
| 1985 | 122.8 | 252.6 |
| 1984 | 124.8 | 249.6 |
| 1983 | 120.6 | 248.4 |
| 1982 | 126.3 | 250 |
| 1981 | 127 | 253.5 |
| 1980 | 124.9 | 251.2 |
| 1979 | 125.1 | 251.2 |
| 1978 | 124.7 | 252 |
| 1977 | 125.8 | 250.4 |
| 1976 | 122 | 244 |
| 1975 | 119.5 | 242.3 |
| 1974 | 124 | 247.2 |
| 1973 | 125.2 | 249.3 |
| 1972 | 122.3 | 246.1 |
| 1971 | 120.6 | 244.5 |
| 1970 | 121.3 | 249 |
| 1969 | 120.4 | 241.2 |
| 1968 | 119.1 | 241.5 |
| 1967 | 118.1 | 233.3 |
| 1966 | 119.5 | 237.7 |
| 1965 | 117.4 | 239.8 |
| 1964 | 116.6 | 231 |
| 1963 | 115.7 | 225.8 |
| 1962 | 121.6 | 246.9 |
| 1961 | 124.2 | 246 |
| 1960 | 124.5 | 250.5 |
| 1959 | 121.6 | 244.8 |
| 1958 | 124.1 | 245.6 |
| 1957 | 123.2 | 247.5 |
| 1956 | 120.9 | 242.4 |
| 1955 | 122.8 | 243.5 |
| 1954 | 121.6 | 250.2 |
| 1953 | 121.2 | 241.2 |
| 1952 | 122.8 | 240.3 |
| 1951 | 123 | 248.8 |
| 1950 | 122 | 240.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 埃塞俄比亚 | 几内亚 |
|---|---|---|
| 2015 | 146.6129.4–163.9 | 286.7259.9–308.5 |
| 2016 | 144.1127–160.6 | 288.9262.6–304 |
| 2017 | 148.3129.2–164.9 | 291.6265.5–311.4 |
| 2018 | 149.6131.6–166 | 295.6269.3–311.8 |
| 2019 | 146.2129.3–166 | 291.8266.8–313.6 |
| 2020 | 149.4129.6–168.5 | 291.2265.6–315.4 |
| 2021 | 150.7132.1–170 | 295.8268–316.3 |
| 2022 | 154135.7–171.2 | 299.9277.9–322.4 |
| 2023 | 153.5135.4–171.4 | 296273.8–318 |
| 2024 | 156.5135.9–175.6 | 302.3276.9–322.8 |
| 2025 | 154132.6–175.5 | 298.9275.2–322.4 |
| 2026 | 153132–175 | 302.5269.3–323.9 |
| 2027 | 154.2134.4–175.3 | 302.6276.3–320.2 |
| 2028 | 157.5138.3–177.4 | 308.2285.4–325.8 |
| 2029 | 159.2141.8–176.8 | 309.3280.6–327.2 |
| 2030 | 156.8136.3–175.7 | 305.5277.4–322.4 |
| 2031 | 161.4142.4–179.1 | 313.2282.2–329.6 |
| 2032 | 161.7143.1–182.5 | 307.7287.3–329.5 |
| 2033 | 161.8140–180.9 | 310.4282.4–337.8 |
| 2034 | 158.8141.5–184.3 | 308281.7–327.4 |
| 2035 | 162141.7–184.2 | 311.2284.9–333 |
| 2036 | 160.5143.6–179.4 | 312.8285.7–334.5 |
| 2037 | 165145.8–184.5 | 315.5291.8–331.1 |
| 2038 | 167.1146.5–186.7 | 317.9296.3–333.9 |
| 2039 | 164.5143.9–186 | 314.1291.6–336 |
| 2040 | 165.9146.2–190.1 | 316.1292.9–334.6 |
| 2041 | 167.9146.3–189.3 | 315.4296.5–335.7 |
| 2042 | 167.7146–194.3 | 316290.7–336.6 |
| 2043 | 167.3145.5–190.8 | 314.8291.1–332.7 |
| 2044 | 168.2148.2–189.9 | 319.8289.7–337.5 |
| 2045 | 170.7149.1–192.3 | 318.6296.4–339 |
| 2046 | 175.3150–198.6 | 321.4295.7–337 |
| 2047 | 176.9151.8–197.5 | 324.6297.9–342.8 |
| 2048 | 177.5155.4–199.1 | 324.8304.4–341.1 |
| 2049 | 177.5157.9–198.4 | 324.2302.4–340.2 |
| 2050 | 176.4153.8–199 | 322.4299.7–339.6 |
| 2051 | 176.6155.3–199.7 | 326.1300.4–342 |
| 2052 | 177155.6–200.7 | 324301.5–342.8 |
| 2053 | 176.7154.2–201.6 | 325.6298–345.3 |
| 2054 | 177.6156.9–201.1 | 329.5301.3–345.1 |
| 2055 | 180.6155.2–202.3 | 324.4305.3–342.4 |
| 2056 | 177.3155–205.4 | 329.6299.4–349.4 |
| 2057 | 180.3159.3–205.5 | 332.4301.5–351 |
| 2058 | 182.6153.7–209.4 | 328.8305.6–347.6 |
| 2059 | 185.7160.1–210.6 | 330.3310.8–350.5 |
| 2060 | 185.9160.3–210.4 | 328.3309.4–348.2 |
| 2061 | 183.3158.3–211.7 | 330.5304.6–352.8 |
| 2062 | 183.8155.4–213 | 327.7307.3–346.5 |
| 2063 | 184.5159.1–208.6 | 333.4311–349.1 |
| 2064 | 186.7160.6–207.2 | 330.9310.6–351.6 |
| 2065 | 183.7162.4–212.9 | 331.4309.7–350.6 |
| 2066 | 187.1165.4–210.1 | 331.8312.3–347.4 |
| 2067 | 187.1160.7–214.5 | 329.1304–348.6 |
| 2068 | 187.6160.4–215.8 | 335.4309.6–354.5 |
| 2069 | 187.8165.4–215.8 | 333.5313–351.4 |
| 2070 | 187.9161.6–216.9 | 331.7310.9–352.7 |
| 2071 | 192.7165.2–219.5 | 334.6315.6–352.4 |
| 2072 | 193.6167.4–214.5 | 338.3317–353.2 |
| 2073 | 193.3169.7–218.7 | 334309.7–351.6 |
| 2074 | 188.5163.9–219 | 330.2310.6–352 |
| 2075 | 191.9162.7–218.6 | 334312–352.2 |
| 2076 | 195166.9–218.9 | 338.4321.3–352.1 |
| 2077 | 194.1169.3–223.3 | 341.4318.4–355.6 |
| 2078 | 192.1168.4–218.6 | 338.1316.6–355.8 |
| 2079 | 193.4166.6–220.9 | 337.5318.8–355.3 |
| 2080 | 196.1169.2–222.4 | 339.8315.4–358 |
| 2081 | 194.6171–221.4 | 339.3318.2–356.6 |
| 2082 | 195.4168.8–219.9 | 337.9316.1–353.3 |
| 2083 | 194.6168.2–228.7 | 339.2320.8–355.8 |
| 2084 | 198.5170.7–224.2 | 340.5321–354.6 |
| 2085 | 198.4173.1–226.3 | 343.8319.9–358.1 |
| 2086 | 198.6172.3–228.4 | 342.2318.7–358.7 |
| 2087 | 199170.6–226.6 | 340.7319.9–357.6 |
| 2088 | 199170.7–227.7 | 341.2318.3–354.9 |
| 2089 | 198.6171.2–226.2 | 337.9318.6–354.8 |
| 2090 | 198.6173.4–227.7 | 341.1315–356 |
| 2091 | 203.6171.9–232.1 | 339.7319.7–355.5 |
| 2092 | 200.7172.5–229.7 | 339.7320.4–356.8 |
| 2093 | 201.4175.2–228.6 | 341.8325.1–356.2 |
| 2094 | 200.2174–228.9 | 342.2324–356.4 |
| 2095 | 203.9175.7–231.9 | 340.7323.5–359.3 |
| 2096 | 199.1170.5–230.8 | 343.2324–359.7 |
| 2097 | 198.4171.8–229.3 | 340.3313.8–353.8 |
| 2098 | 198.7172.1–231.5 | 339.9318.8–357 |
| 2099 | 201.8172.8–233.3 | 341.5324.6–355.9 |
| 2100 | 201.7175.1–231.8 | 345.3319.6–357.9 |
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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
埃塞俄比亚与几内亚对比
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军用
- 军费开支埃塞俄比亚:2025 年为 GDP 的 0.49%几内亚:2025 年为 GDP 的 2.03%
- 军费开支(美元)埃塞俄比亚:2025 年为 US$7.85亿几内亚:2025 年为 US$5.86亿
- 人均军费开支埃塞俄比亚:2025 年为 US$4几内亚:2025 年为 US$40
- 军费占政府支出比例埃塞俄比亚:2025 年为 4.1%(占政府支出)几内亚:2025 年为 10.6%(占政府支出)
- 武装部队人员埃塞俄比亚:2020 年为 138,000 人几内亚:2020 年为 13,000 人
- 国家实力埃塞俄比亚:2022 年为 0.85%(占全球实力)几内亚:2022 年为 0.07%(占全球实力)
- 武装部队占劳动力比例埃塞俄比亚:2020 年为 0.28%(占劳动力)几内亚:2020 年为 0.32%(占劳动力)
- 武器进口埃塞俄比亚:2025 年为 6300万 TIV几内亚:2025 年为 600万 TIV