吉布提与厄立特里亚对比
吉布提与厄立特里亚:35 °C 以上天数
2014 年35 °C 以上天数:吉布提为 161.5 天,厄立特里亚为 132.6 天(CMIP6 气候模型中位数模拟)。 2014 年吉布提的数值较高,高出 28.9 天,是厄立特里亚的 1.22 倍。
每年天数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,吉布提的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年吉布提为 202.6 天,厄立特里亚为 186.1 天。
逐年数据
每年天数 · CMIP6
| 年份 | 吉布提 | 厄立特里亚 |
|---|---|---|
| 2014 | 161.5 | 132.6 |
| 2013 | 161 | 129.5 |
| 2012 | 157.3 | 127.6 |
| 2011 | 159.3 | 129.8 |
| 2010 | 158.2 | 128 |
| 2009 | 156.7 | 126 |
| 2008 | 154 | 122.9 |
| 2007 | 150.6 | 121.5 |
| 2006 | 151.9 | 120.4 |
| 2005 | 154.3 | 120.8 |
| 2004 | 152.9 | 121.4 |
| 2003 | 156 | 123.2 |
| 2002 | 157.8 | 123.3 |
| 2001 | 153.3 | 125.8 |
| 2000 | 155.4 | 120.3 |
| 1999 | 150.7 | 120.1 |
| 1998 | 148 | 117.6 |
| 1997 | 150.2 | 117.7 |
| 1996 | 149.7 | 115.1 |
| 1995 | 147.7 | 114.9 |
| 1994 | 143.8 | 112.7 |
| 1993 | 141.9 | 105.3 |
| 1992 | 136.7 | 105.1 |
| 1991 | 146.6 | 114.1 |
| 1990 | 149.9 | 117.8 |
| 1989 | 147.4 | 115.4 |
| 1988 | 148.9 | 115.8 |
| 1987 | 145.4 | 112.9 |
| 1986 | 144.9 | 114.6 |
| 1985 | 141.4 | 110.3 |
| 1984 | 144 | 111 |
| 1983 | 139.4 | 107.3 |
| 1982 | 146.7 | 108.5 |
| 1981 | 148 | 114.3 |
| 1980 | 145.6 | 113.1 |
| 1979 | 143.2 | 112.3 |
| 1978 | 141.8 | 107.2 |
| 1977 | 144.1 | 110.4 |
| 1976 | 142.7 | 109 |
| 1975 | 140.2 | 106.3 |
| 1974 | 140.6 | 107.2 |
| 1973 | 144.8 | 111.6 |
| 1972 | 141.5 | 107.4 |
| 1971 | 141.7 | 106.1 |
| 1970 | 134.6 | 106.3 |
| 1969 | 139.3 | 107.6 |
| 1968 | 136.6 | 106.5 |
| 1967 | 137.3 | 103.9 |
| 1966 | 140.1 | 105 |
| 1965 | 137.2 | 105.5 |
| 1964 | 133.1 | 100.1 |
| 1963 | 134.4 | 100.8 |
| 1962 | 142.1 | 108.5 |
| 1961 | 141.5 | 111.4 |
| 1960 | 142.3 | 110.5 |
| 1959 | 139 | 109.7 |
| 1958 | 138.4 | 108.3 |
| 1957 | 144.3 | 110.1 |
| 1956 | 141.6 | 109.2 |
| 1955 | 139.9 | 107.9 |
| 1954 | 142.4 | 110.9 |
| 1953 | 141.5 | 108 |
| 1952 | 142.9 | 109.3 |
| 1951 | 142.3 | 110.4 |
| 1950 | 142.4 | 108.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 吉布提 | 厄立特里亚 |
|---|---|---|
| 2015 | 160.8141.1–177.6 | 134.6113–150.8 |
| 2016 | 162.4133.4–175.4 | 131.5111.3–151 |
| 2017 | 162.5134.6–177.1 | 134.4112.4–151.6 |
| 2018 | 157.4134.1–177.6 | 131108.2–155.4 |
| 2019 | 160.7134.1–179.7 | 135.7111.4–154.9 |
| 2020 | 162.3135.6–180.4 | 134.2113.2–153.4 |
| 2021 | 159.8141.2–181 | 136.3109.8–155.4 |
| 2022 | 161.7129–184 | 138.8113.4–157 |
| 2023 | 164.4132.6–185.8 | 138.5114.4–160.3 |
| 2024 | 165143.2–189.5 | 142.6117.1–160.6 |
| 2025 | 163.1129.9–181.4 | 139.6108.4–159.3 |
| 2026 | 165.9131.4–186.8 | 139.4111.1–164.2 |
| 2027 | 164.6130.3–184.6 | 140.5109.1–161.6 |
| 2028 | 169137.8–188.8 | 141.1114.3–165.4 |
| 2029 | 168.2139.9–187.9 | 142.2116.5–161.8 |
| 2030 | 169.3140.4–186 | 143.6117.6–165.9 |
| 2031 | 168.4152.8–188 | 143.8119.2–168.1 |
| 2032 | 172.6149.8–192.8 | 145.2125.5–168.4 |
| 2033 | 174.9150.4–192.2 | 148126.2–169.2 |
| 2034 | 172.2151.4–190.8 | 148.2122–173.9 |
| 2035 | 173.6146.8–189.6 | 147.4124.1–174.5 |
| 2036 | 172.5149.4–189.2 | 146.4125.8–168.8 |
| 2037 | 173.4148.7–190.7 | 149.4127.4–173.4 |
| 2038 | 173.9156.9–195.8 | 153.1131.7–173.6 |
| 2039 | 176156.9–192.9 | 153128.4–172 |
| 2040 | 177.3156.2–194.2 | 149.8127–172.4 |
| 2041 | 176.2141.4–196.3 | 154.4122.9–176.1 |
| 2042 | 177.8154–198.5 | 153.3129.7–179 |
| 2043 | 179.2150.8–197 | 154.5122.1–180 |
| 2044 | 181.1147.3–196.6 | 154126.8–179.4 |
| 2045 | 181.3154.5–201.7 | 161.8131.7–180.4 |
| 2046 | 180.5150.9–197.8 | 162.9128.6–185.9 |
| 2047 | 179.9157–199.8 | 161.7131.5–183.2 |
| 2048 | 182.5156.8–206.1 | 161.4133.3–186.4 |
| 2049 | 183.7153.2–201.6 | 162.3135.4–184 |
| 2050 | 182.2157.1–205 | 161.2137.1–189.8 |
| 2051 | 184.4162.8–206.2 | 163.6139.2–191.5 |
| 2052 | 183.3150.6–204.6 | 164.7133.3–189.8 |
| 2053 | 182.6161.3–207.1 | 161.8138.2–189.6 |
| 2054 | 183.7160.1–201.8 | 162.9137.3–188.1 |
| 2055 | 188.1161–207.4 | 167.9142.9–190.9 |
| 2056 | 187.1166.2–212.2 | 163.5139.2–197 |
| 2057 | 188.3166.1–210.6 | 168.9139–197.2 |
| 2058 | 183.8153.6–205.4 | 170133.2–193.5 |
| 2059 | 189.8162.8–214.4 | 169.8144.6–198.6 |
| 2060 | 195.2171.8–213.3 | 171.7145.3–199.5 |
| 2061 | 193.2170.2–210.6 | 174.7144.4–195.6 |
| 2062 | 189.2162.8–216.9 | 169.4140.6–201.4 |
| 2063 | 190.6170.3–212.3 | 171.8142.5–197.1 |
| 2064 | 194.3166.7–209.5 | 173.8145.6–197.5 |
| 2065 | 188.5166.1–213.4 | 170.6149–196.7 |
| 2066 | 190163.9–209.6 | 175147.5–199.6 |
| 2067 | 193.4162.7–215.9 | 177.3143–202.3 |
| 2068 | 195.7170.3–217.7 | 174.9149.4–204.8 |
| 2069 | 198.6169.8–213.6 | 176.4147.6–203.3 |
| 2070 | 195.6172.9–215.1 | 174.9147.8–201.1 |
| 2071 | 198.4165.6–221.5 | 180.7145.8–205.7 |
| 2072 | 193.2169.4–213.2 | 178.4151.9–203.4 |
| 2073 | 197.1176.8–218 | 179.8153.3–208.3 |
| 2074 | 188.8157.3–218.7 | 177141.3–207.2 |
| 2075 | 194.9163.8–216.7 | 181.4144.3–205.7 |
| 2076 | 198.6171.6–217.8 | 181.3152.1–207 |
| 2077 | 198.5164.2–220 | 184.9149.1–212.6 |
| 2078 | 194.7168.5–220.1 | 180.8153.9–211.1 |
| 2079 | 198.8169.8–220.4 | 181.4154.7–205 |
| 2080 | 199.7163.6–223.7 | 185.8149.1–210.5 |
| 2081 | 203174.3–221.5 | 186.4157.9–210.6 |
| 2082 | 198173.4–219.6 | 180.9155.5–210.6 |
| 2083 | 200173.1–224.7 | 184.7157.6–217.7 |
| 2084 | 198.7172–226.8 | 184.9153.4–213.1 |
| 2085 | 201.8174.9–225.8 | 186.8155.6–216 |
| 2086 | 202.2163–223.8 | 185.5148.2–218.7 |
| 2087 | 201.9171.4–222.1 | 185.4149.5–215 |
| 2088 | 202.3180.6–223.7 | 181.1156.8–220.8 |
| 2089 | 202.5179.1–220.9 | 187.5154.4–213.2 |
| 2090 | 207.1176.4–228.1 | 189.9159.1–217.7 |
| 2091 | 207.8174.3–230.4 | 189.7159.9–218.4 |
| 2092 | 203.6172.6–224.2 | 186156.9–214.8 |
| 2093 | 205175.1–224.3 | 187.4163.3–217.7 |
| 2094 | 202.5177.9–221.9 | 191.1161.8–215.1 |
| 2095 | 203.7178.7–227.8 | 189.1161.1–216.4 |
| 2096 | 202.9171–226.4 | 183.6153.9–219.1 |
| 2097 | 199179.5–223.5 | 184.4153.3–219.2 |
| 2098 | 195.1168.9–226.7 | 189151.4–219.9 |
| 2099 | 207.2181.7–229 | 189.5158.6–220.2 |
| 2100 | 202.6179.2–221.8 | 186.1159.1–219.1 |
分别查看各国
须知
- 一年中最高气温超过 35 °C 的天数,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
吉布提与厄立特里亚对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支吉布提:2008 年为 GDP 的 2.63%厄立特里亚:2003 年为 GDP 的 20.87%
- 人均军费开支吉布提:2008 年为 US$41厄立特里亚:2003 年为 US$75
- 军费占政府支出比例吉布提:2008 年为 9.1%(占政府支出)厄立特里亚:2003 年为 46.4%(占政府支出)
- 武装部队人员吉布提:2020 年为 13,000 人厄立特里亚:2020 年为 202,000 人
- 国家实力吉布提:2022 年为 0.02%(占全球实力)厄立特里亚:2022 年为 0.31%(占全球实力)
- 武装部队占劳动力比例吉布提:2020 年为 5.4%(占劳动力)厄立特里亚:2020 年为 13.29%(占劳动力)
- 武器进口吉布提:2023 年为 0 TIV厄立特里亚:2007 年为 400万 TIV