埃塞俄比亚与苏丹对比
埃塞俄比亚与苏丹:热带夜
2014 年热带夜:埃塞俄比亚为 144.9 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 97.5 夜,是埃塞俄比亚的 1.67 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 年埃塞俄比亚为 201.7 夜,苏丹为 278.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 埃塞俄比亚 | 苏丹 |
|---|---|---|
| 2014 | 144.9 | 242.4 |
| 2013 | 145.1 | 240 |
| 2012 | 144.4 | 242 |
| 2011 | 145.6 | 242.2 |
| 2010 | 142.4 | 240.6 |
| 2009 | 140.3 | 236.5 |
| 2008 | 137.1 | 237.1 |
| 2007 | 138.2 | 236 |
| 2006 | 138.7 | 235.3 |
| 2005 | 138.1 | 233.1 |
| 2004 | 139.1 | 233.5 |
| 2003 | 138.8 | 235.6 |
| 2002 | 137.4 | 234.7 |
| 2001 | 139.2 | 235.4 |
| 2000 | 135.5 | 230.5 |
| 1999 | 132.6 | 232.1 |
| 1998 | 132.9 | 230.2 |
| 1997 | 132.7 | 231.1 |
| 1996 | 129.7 | 227.3 |
| 1995 | 127.8 | 227.8 |
| 1994 | 126.3 | 225.3 |
| 1993 | 122.5 | 219.1 |
| 1992 | 119.7 | 217.8 |
| 1991 | 129.5 | 227.3 |
| 1990 | 132.7 | 227.5 |
| 1989 | 129.4 | 223 |
| 1988 | 128.2 | 223.1 |
| 1987 | 126.4 | 224.4 |
| 1986 | 128.1 | 226.4 |
| 1985 | 122.8 | 222.1 |
| 1984 | 124.8 | 220.7 |
| 1983 | 120.6 | 217 |
| 1982 | 126.3 | 216.3 |
| 1981 | 127 | 223.2 |
| 1980 | 124.9 | 220 |
| 1979 | 125.1 | 218.4 |
| 1978 | 124.7 | 218.5 |
| 1977 | 125.8 | 219.3 |
| 1976 | 122 | 220.1 |
| 1975 | 119.5 | 215.7 |
| 1974 | 124 | 217.5 |
| 1973 | 125.2 | 220 |
| 1972 | 122.3 | 217.9 |
| 1971 | 120.6 | 215.5 |
| 1970 | 121.3 | 217 |
| 1969 | 120.4 | 213.1 |
| 1968 | 119.1 | 214 |
| 1967 | 118.1 | 210.3 |
| 1966 | 119.5 | 213.3 |
| 1965 | 117.4 | 213.4 |
| 1964 | 116.6 | 213.2 |
| 1963 | 115.7 | 210.1 |
| 1962 | 121.6 | 217 |
| 1961 | 124.2 | 216.9 |
| 1960 | 124.5 | 221.3 |
| 1959 | 121.6 | 217.8 |
| 1958 | 124.1 | 216.2 |
| 1957 | 123.2 | 218.9 |
| 1956 | 120.9 | 217.2 |
| 1955 | 122.8 | 216.6 |
| 1954 | 121.6 | 218.9 |
| 1953 | 121.2 | 215.1 |
| 1952 | 122.8 | 216.4 |
| 1951 | 123 | 218.5 |
| 1950 | 122 | 214.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 埃塞俄比亚 | 苏丹 |
|---|---|---|
| 2015 | 146.6129.4–163.9 | 242.3225.3–258.3 |
| 2016 | 144.1127–160.6 | 241.4223.3–254.1 |
| 2017 | 148.3129.2–164.9 | 243.2223–259.1 |
| 2018 | 149.6131.6–166 | 242.3226.4–258.5 |
| 2019 | 146.2129.3–166 | 243.1221.7–260.4 |
| 2020 | 149.4129.6–168.5 | 244.9225.9–261.7 |
| 2021 | 150.7132.1–170 | 245.6229.1–261.5 |
| 2022 | 154135.7–171.2 | 249230.9–262.3 |
| 2023 | 153.5135.4–171.4 | 247.1226.8–263.1 |
| 2024 | 156.5135.9–175.6 | 251.5232.8–266.1 |
| 2025 | 154132.6–175.5 | 250.7232.4–265.6 |
| 2026 | 153132–175 | 250230.8–266.6 |
| 2027 | 154.2134.4–175.3 | 248.8228.4–265.6 |
| 2028 | 157.5138.3–177.4 | 249232.2–263.1 |
| 2029 | 159.2141.8–176.8 | 251.4232.1–266 |
| 2030 | 156.8136.3–175.7 | 252235.4–266.7 |
| 2031 | 161.4142.4–179.1 | 253.3234.4–268.9 |
| 2032 | 161.7143.1–182.5 | 250.4232.3–266.6 |
| 2033 | 161.8140–180.9 | 254.4235.3–269.4 |
| 2034 | 158.8141.5–184.3 | 254.2234.5–269.9 |
| 2035 | 162141.7–184.2 | 258.3240.2–273.6 |
| 2036 | 160.5143.6–179.4 | 252.8235.6–268.6 |
| 2037 | 165145.8–184.5 | 256.7238.6–271.8 |
| 2038 | 167.1146.5–186.7 | 258.7244.8–272.1 |
| 2039 | 164.5143.9–186 | 259.5241.2–272.5 |
| 2040 | 165.9146.2–190.1 | 256.4236.7–272.3 |
| 2041 | 167.9146.3–189.3 | 259.1241.2–274.5 |
| 2042 | 167.7146–194.3 | 258.7242–274.7 |
| 2043 | 167.3145.5–190.8 | 258.1240.3–272.6 |
| 2044 | 168.2148.2–189.9 | 257.3238.6–274.7 |
| 2045 | 170.7149.1–192.3 | 258.8243.1–276.2 |
| 2046 | 175.3150–198.6 | 261.1241.7–277.6 |
| 2047 | 176.9151.8–197.5 | 261.4244.6–278.4 |
| 2048 | 177.5155.4–199.1 | 260.4243.4–279.5 |
| 2049 | 177.5157.9–198.4 | 261.9242.6–275.9 |
| 2050 | 176.4153.8–199 | 263.5245.4–279 |
| 2051 | 176.6155.3–199.7 | 263.6246.6–278.8 |
| 2052 | 177155.6–200.7 | 263.8248.7–278.3 |
| 2053 | 176.7154.2–201.6 | 262.8242.4–279.2 |
| 2054 | 177.6156.9–201.1 | 266.3246.6–282.9 |
| 2055 | 180.6155.2–202.3 | 265.6245.9–281.4 |
| 2056 | 177.3155–205.4 | 264.1242.6–281.5 |
| 2057 | 180.3159.3–205.5 | 266.4247.6–283.4 |
| 2058 | 182.6153.7–209.4 | 265.2247.4–280.3 |
| 2059 | 185.7160.1–210.6 | 268.4249.6–285.4 |
| 2060 | 185.9160.3–210.4 | 263.6246.7–284.4 |
| 2061 | 183.3158.3–211.7 | 266.9250.1–281.9 |
| 2062 | 183.8155.4–213 | 266.4248.5–285 |
| 2063 | 184.5159.1–208.6 | 267.1246.9–283.4 |
| 2064 | 186.7160.6–207.2 | 269250.7–284.7 |
| 2065 | 183.7162.4–212.9 | 269.8253.9–285.6 |
| 2066 | 187.1165.4–210.1 | 271.4251.9–287.3 |
| 2067 | 187.1160.7–214.5 | 270.9250–288.4 |
| 2068 | 187.6160.4–215.8 | 271.9251.7–289.8 |
| 2069 | 187.8165.4–215.8 | 268251.1–286.2 |
| 2070 | 187.9161.6–216.9 | 269252.3–285.8 |
| 2071 | 192.7165.2–219.5 | 275.5254.1–290.4 |
| 2072 | 193.6167.4–214.5 | 273.3254.2–289.4 |
| 2073 | 193.3169.7–218.7 | 271.9250.7–287.6 |
| 2074 | 188.5163.9–219 | 270.9249–290.1 |
| 2075 | 191.9162.7–218.6 | 273.1254–291.9 |
| 2076 | 195166.9–218.9 | 272.7255.2–290.9 |
| 2077 | 194.1169.3–223.3 | 274.6255.2–292.7 |
| 2078 | 192.1168.4–218.6 | 274.3255.6–291.2 |
| 2079 | 193.4166.6–220.9 | 272255.2–288.5 |
| 2080 | 196.1169.2–222.4 | 276.6256–292.2 |
| 2081 | 194.6171–221.4 | 275.1254.1–294.8 |
| 2082 | 195.4168.8–219.9 | 272.9258.7–288.6 |
| 2083 | 194.6168.2–228.7 | 276.5258–291.7 |
| 2084 | 198.5170.7–224.2 | 275.4253–294.9 |
| 2085 | 198.4173.1–226.3 | 275.3258.6–291.6 |
| 2086 | 198.6172.3–228.4 | 276.4256.9–296.6 |
| 2087 | 199170.6–226.6 | 273.5253.1–293.3 |
| 2088 | 199170.7–227.7 | 273.6253.7–293.6 |
| 2089 | 198.6171.2–226.2 | 276.5256.6–293.4 |
| 2090 | 198.6173.4–227.7 | 276.6256.4–294.6 |
| 2091 | 203.6171.9–232.1 | 277.4256.4–296.6 |
| 2092 | 200.7172.5–229.7 | 274.6254.3–294.9 |
| 2093 | 201.4175.2–228.6 | 278261.9–292.1 |
| 2094 | 200.2174–228.9 | 280.3262.2–294 |
| 2095 | 203.9175.7–231.9 | 277.5262.6–294 |
| 2096 | 199.1170.5–230.8 | 279.7258.7–297 |
| 2097 | 198.4171.8–229.3 | 276.3254.1–297.6 |
| 2098 | 198.7172.1–231.5 | 277.7258.2–295.5 |
| 2099 | 201.8172.8–233.3 | 276.8257.2–296.2 |
| 2100 | 201.7175.1–231.8 | 278.6259–294.3 |
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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
埃塞俄比亚与苏丹对比
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军用
- 军费开支埃塞俄比亚:2025 年为 GDP 的 0.49%苏丹:2021 年为 GDP 的 0.93%
- 军费开支(美元)埃塞俄比亚:2025 年为 US$7.85亿苏丹:2021 年为 US$27.7亿
- 人均军费开支埃塞俄比亚:2025 年为 US$4苏丹:2021 年为 US$8
- 军费占政府支出比例埃塞俄比亚:2025 年为 4.1%(占政府支出)苏丹:2021 年为 9.5%(占政府支出)
- 武装部队人员埃塞俄比亚:2020 年为 138,000 人苏丹:2020 年为 144,000 人
- 国家实力埃塞俄比亚:2022 年为 0.85%(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埃塞俄比亚:2020 年为 0.28%(占劳动力)苏丹:2020 年为 1.34%(占劳动力)
- 武器进口埃塞俄比亚:2025 年为 6300万 TIV苏丹:2025 年为 5700万 TIV
- 武器出口埃塞俄比亚:1997 年为 1700万 TIV苏丹:2013 年为 1100万 TIV