厄立特里亚与苏丹对比
厄立特里亚与苏丹:热带夜
2014 年热带夜:厄立特里亚为 236.3 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 6.1 夜,是厄立特里亚的 1.03 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 年厄立特里亚为 289.6 夜,苏丹为 278.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 厄立特里亚 | 苏丹 |
|---|---|---|
| 2014 | 236.3 | 242.4 |
| 2013 | 237.5 | 240 |
| 2012 | 236.3 | 242 |
| 2011 | 238.4 | 242.2 |
| 2010 | 233.8 | 240.6 |
| 2009 | 232.2 | 236.5 |
| 2008 | 231.3 | 237.1 |
| 2007 | 231.9 | 236 |
| 2006 | 229.9 | 235.3 |
| 2005 | 228.5 | 233.1 |
| 2004 | 228.6 | 233.5 |
| 2003 | 230.2 | 235.6 |
| 2002 | 229.6 | 234.7 |
| 2001 | 229.6 | 235.4 |
| 2000 | 225.7 | 230.5 |
| 1999 | 225 | 232.1 |
| 1998 | 224.3 | 230.2 |
| 1997 | 224.5 | 231.1 |
| 1996 | 221.6 | 227.3 |
| 1995 | 219.6 | 227.8 |
| 1994 | 219.8 | 225.3 |
| 1993 | 214.3 | 219.1 |
| 1992 | 212 | 217.8 |
| 1991 | 220.1 | 227.3 |
| 1990 | 224.1 | 227.5 |
| 1989 | 221.4 | 223 |
| 1988 | 217.8 | 223.1 |
| 1987 | 216.8 | 224.4 |
| 1986 | 221.3 | 226.4 |
| 1985 | 214.5 | 222.1 |
| 1984 | 217.3 | 220.7 |
| 1983 | 212.2 | 217 |
| 1982 | 214 | 216.3 |
| 1981 | 219.6 | 223.2 |
| 1980 | 215.8 | 220 |
| 1979 | 216.5 | 218.4 |
| 1978 | 212.9 | 218.5 |
| 1977 | 216.5 | 219.3 |
| 1976 | 214.5 | 220.1 |
| 1975 | 209.8 | 215.7 |
| 1974 | 213 | 217.5 |
| 1973 | 214.7 | 220 |
| 1972 | 212.2 | 217.9 |
| 1971 | 211.4 | 215.5 |
| 1970 | 213.1 | 217 |
| 1969 | 211.3 | 213.1 |
| 1968 | 210.8 | 214 |
| 1967 | 206.9 | 210.3 |
| 1966 | 207.9 | 213.3 |
| 1965 | 208 | 213.4 |
| 1964 | 207.7 | 213.2 |
| 1963 | 204.9 | 210.1 |
| 1962 | 211.9 | 217 |
| 1961 | 215 | 216.9 |
| 1960 | 216 | 221.3 |
| 1959 | 211.5 | 217.8 |
| 1958 | 213.4 | 216.2 |
| 1957 | 213.8 | 218.9 |
| 1956 | 211.2 | 217.2 |
| 1955 | 211.8 | 216.6 |
| 1954 | 213.3 | 218.9 |
| 1953 | 209.4 | 215.1 |
| 1952 | 214.1 | 216.4 |
| 1951 | 214 | 218.5 |
| 1950 | 209.9 | 214.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 厄立特里亚 | 苏丹 |
|---|---|---|
| 2015 | 242.1223.3–257.3 | 242.3225.3–258.3 |
| 2016 | 239.9217.6–255.9 | 241.4223.3–254.1 |
| 2017 | 240.5217.7–256.2 | 243.2223–259.1 |
| 2018 | 241.6222.4–259.1 | 242.3226.4–258.5 |
| 2019 | 240.7216.5–259.9 | 243.1221.7–260.4 |
| 2020 | 243224.2–258.8 | 244.9225.9–261.7 |
| 2021 | 245.1227.4–259.9 | 245.6229.1–261.5 |
| 2022 | 248.8228.6–264 | 249230.9–262.3 |
| 2023 | 246.7224.6–263.1 | 247.1226.8–263.1 |
| 2024 | 250230.4–264.3 | 251.5232.8–266.1 |
| 2025 | 249.5223.9–268.1 | 250.7232.4–265.6 |
| 2026 | 248.7223–267.9 | 250230.8–266.6 |
| 2027 | 248.1223.1–268.2 | 248.8228.4–265.6 |
| 2028 | 250.3225.1–268 | 249232.2–263.1 |
| 2029 | 251.3226.8–268.5 | 251.4232.1–266 |
| 2030 | 251.3228.3–269.1 | 252235.4–266.7 |
| 2031 | 253.2230.5–270.2 | 253.3234.4–268.9 |
| 2032 | 254.5232.2–273.2 | 250.4232.3–266.6 |
| 2033 | 253.9233.4–270.6 | 254.4235.3–269.4 |
| 2034 | 253.2232.9–273.4 | 254.2234.5–269.9 |
| 2035 | 256.4233.1–272.6 | 258.3240.2–273.6 |
| 2036 | 255.6237.4–271.9 | 252.8235.6–268.6 |
| 2037 | 259.4239.5–274.3 | 256.7238.6–271.8 |
| 2038 | 259.6240.6–276 | 258.7244.8–272.1 |
| 2039 | 259.3236.9–278.2 | 259.5241.2–272.5 |
| 2040 | 258.9237.6–278.3 | 256.4236.7–272.3 |
| 2041 | 262.2235.6–276.6 | 259.1241.2–274.5 |
| 2042 | 260.5237.9–282.9 | 258.7242–274.7 |
| 2043 | 261.6236.4–282.9 | 258.1240.3–272.6 |
| 2044 | 259.6235.2–282.9 | 257.3238.6–274.7 |
| 2045 | 261.4243.5–280.5 | 258.8243.1–276.2 |
| 2046 | 265.4241.5–285.5 | 261.1241.7–277.6 |
| 2047 | 266.9242.2–284.1 | 261.4244.6–278.4 |
| 2048 | 268.2246.5–289.4 | 260.4243.4–279.5 |
| 2049 | 267.2245.9–284.9 | 261.9242.6–275.9 |
| 2050 | 268247.7–285.7 | 263.5245.4–279 |
| 2051 | 267.6249.1–288.1 | 263.6246.6–278.8 |
| 2052 | 267.1243.8–291.6 | 263.8248.7–278.3 |
| 2053 | 266.7242.7–288.9 | 262.8242.4–279.2 |
| 2054 | 270.9250–291.4 | 266.3246.6–282.9 |
| 2055 | 271.8248.4–291.5 | 265.6245.9–281.4 |
| 2056 | 269246.8–293.3 | 264.1242.6–281.5 |
| 2057 | 271.9251.9–292.6 | 266.4247.6–283.4 |
| 2058 | 273.1248.5–293.4 | 265.2247.4–280.3 |
| 2059 | 276.4256.3–297 | 268.4249.6–285.4 |
| 2060 | 274.4254.3–296.3 | 263.6246.7–284.4 |
| 2061 | 273.8250.1–292.4 | 266.9250.1–281.9 |
| 2062 | 273.1247.6–297.2 | 266.4248.5–285 |
| 2063 | 276.6253.2–296.8 | 267.1246.9–283.4 |
| 2064 | 274.4252.8–294.9 | 269250.7–284.7 |
| 2065 | 276.4254.3–298.3 | 269.8253.9–285.6 |
| 2066 | 278.3258.2–298.6 | 271.4251.9–287.3 |
| 2067 | 277.4252.3–300.6 | 270.9250–288.4 |
| 2068 | 281.8251.5–300.5 | 271.9251.7–289.8 |
| 2069 | 278.3257.1–298.4 | 268251.1–286.2 |
| 2070 | 278254.1–299.4 | 269252.3–285.8 |
| 2071 | 283.5258.5–303.6 | 275.5254.1–290.4 |
| 2072 | 284.3258.8–301.3 | 273.3254.2–289.4 |
| 2073 | 283.6259.5–302.3 | 271.9250.7–287.6 |
| 2074 | 279.8251.9–302.4 | 270.9249–290.1 |
| 2075 | 283.1258.1–303.2 | 273.1254–291.9 |
| 2076 | 283.6260.9–301.3 | 272.7255.2–290.9 |
| 2077 | 284.3261–306.5 | 274.6255.2–292.7 |
| 2078 | 286.3261.5–304.3 | 274.3255.6–291.2 |
| 2079 | 283.2260.8–303.8 | 272255.2–288.5 |
| 2080 | 287.1260.3–305.6 | 276.6256–292.2 |
| 2081 | 286.1261.1–305.7 | 275.1254.1–294.8 |
| 2082 | 284.1261.9–301.4 | 272.9258.7–288.6 |
| 2083 | 284.2263.3–307.9 | 276.5258–291.7 |
| 2084 | 287.4261.5–306.2 | 275.4253–294.9 |
| 2085 | 286.5265.4–309.8 | 275.3258.6–291.6 |
| 2086 | 287.5258.5–312.8 | 276.4256.9–296.6 |
| 2087 | 287.2260.7–309.6 | 273.5253.1–293.3 |
| 2088 | 286.4260.7–311.3 | 273.6253.7–293.6 |
| 2089 | 286.5261.1–306.9 | 276.5256.6–293.4 |
| 2090 | 288264.5–310.9 | 276.6256.4–294.6 |
| 2091 | 291264.2–313.8 | 277.4256.4–296.6 |
| 2092 | 287.4260.6–310.1 | 274.6254.3–294.9 |
| 2093 | 287.9269–308.3 | 278261.9–292.1 |
| 2094 | 290.2267.9–308.3 | 280.3262.2–294 |
| 2095 | 288.9268.4–310.9 | 277.5262.6–294 |
| 2096 | 287.3263.8–312.4 | 279.7258.7–297 |
| 2097 | 285263.8–308.7 | 276.3254.1–297.6 |
| 2098 | 288.6263.8–315.1 | 277.7258.2–295.5 |
| 2099 | 288.6265.1–311.8 | 276.8257.2–296.2 |
| 2100 | 289.6267.4–314 | 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
厄立特里亚与苏丹对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支厄立特里亚:2003 年为 GDP 的 20.87%苏丹:2021 年为 GDP 的 0.93%
- 人均军费开支厄立特里亚:2003 年为 US$75苏丹:2021 年为 US$8
- 军费占政府支出比例厄立特里亚:2003 年为 46.4%(占政府支出)苏丹:2021 年为 9.5%(占政府支出)
- 武装部队人员厄立特里亚:2020 年为 202,000 人苏丹:2020 年为 144,000 人
- 国家实力厄立特里亚:2022 年为 0.31%(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厄立特里亚:2020 年为 13.29%(占劳动力)苏丹:2020 年为 1.34%(占劳动力)
- 武器进口厄立特里亚:2007 年为 400万 TIV苏丹:2025 年为 5700万 TIV
- 武器出口厄立特里亚:2006 年为 0 TIV苏丹:2013 年为 1100万 TIV