南苏丹与苏丹对比
南苏丹与苏丹:35 °C 以上天数
2014 年35 °C 以上天数:南苏丹为 115.2 天,苏丹为 184 天(CMIP6 气候模型中位数模拟)。 2014 年苏丹的数值较高,高出 68.8 天,是南苏丹的 1.6 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,苏丹的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年南苏丹为 172 天,苏丹为 230.7 天。
逐年数据
每年天数 · CMIP6
| 年份 | 南苏丹 | 苏丹 |
|---|---|---|
| 2014 | 115.2 | 184 |
| 2013 | 111.2 | 179.8 |
| 2012 | 108.8 | 180.9 |
| 2011 | 112.9 | 183.5 |
| 2010 | 112.8 | 181.3 |
| 2009 | 104.3 | 175.7 |
| 2008 | 104.2 | 173.9 |
| 2007 | 100.7 | 171.9 |
| 2006 | 105.3 | 171.2 |
| 2005 | 102.8 | 169.5 |
| 2004 | 103.4 | 171.6 |
| 2003 | 102.5 | 172.7 |
| 2002 | 104.6 | 173.6 |
| 2001 | 108.9 | 177.8 |
| 2000 | 99.1 | 170.3 |
| 1999 | 97.8 | 170.7 |
| 1998 | 97.6 | 166 |
| 1997 | 99.2 | 169.3 |
| 1996 | 94 | 165.5 |
| 1995 | 94 | 165.1 |
| 1994 | 89.9 | 162.2 |
| 1993 | 84.6 | 154.5 |
| 1992 | 87.9 | 154.3 |
| 1991 | 95.2 | 165.3 |
| 1990 | 94 | 166.6 |
| 1989 | 93.6 | 164.1 |
| 1988 | 98 | 164.2 |
| 1987 | 97.7 | 163.3 |
| 1986 | 97.9 | 166.1 |
| 1985 | 89.8 | 159.7 |
| 1984 | 90.8 | 158 |
| 1983 | 90.8 | 157 |
| 1982 | 89.3 | 155.1 |
| 1981 | 96.2 | 162.1 |
| 1980 | 97.5 | 161.1 |
| 1979 | 95.4 | 160.4 |
| 1978 | 89.1 | 155.5 |
| 1977 | 92.9 | 157.9 |
| 1976 | 86.7 | 157.3 |
| 1975 | 91.5 | 153.9 |
| 1974 | 90 | 155.3 |
| 1973 | 90.1 | 161.4 |
| 1972 | 89.8 | 156.2 |
| 1971 | 84.8 | 153.4 |
| 1970 | 87.8 | 156.8 |
| 1969 | 90.8 | 153.8 |
| 1968 | 85.5 | 154.6 |
| 1967 | 84.3 | 148.4 |
| 1966 | 87 | 153 |
| 1965 | 82.2 | 154.2 |
| 1964 | 79.2 | 148.7 |
| 1963 | 84.4 | 146.1 |
| 1962 | 93.5 | 155.9 |
| 1961 | 90.4 | 158.5 |
| 1960 | 92 | 161.3 |
| 1959 | 90.1 | 158.4 |
| 1958 | 88 | 156.7 |
| 1957 | 90.7 | 159.4 |
| 1956 | 85.5 | 157.7 |
| 1955 | 87.3 | 154.7 |
| 1954 | 91 | 158.7 |
| 1953 | 95.5 | 156.3 |
| 1952 | 88.7 | 156.1 |
| 1951 | 93.2 | 158.9 |
| 1950 | 86.7 | 155.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 南苏丹 | 苏丹 |
|---|---|---|
| 2015 | 112.487.1–135.9 | 183.4158.5–201.6 |
| 2016 | 103.878.8–129.9 | 179.1156.3–200.8 |
| 2017 | 114.384.4–134.8 | 184.1159.3–204.4 |
| 2018 | 109.674.1–140.7 | 178.9156–204.1 |
| 2019 | 107.285.2–133.3 | 181.9158.3–204.8 |
| 2020 | 114.783–140.8 | 182.3159.2–205.5 |
| 2021 | 112.182.3–137.9 | 183.1159.4–206.8 |
| 2022 | 108.880.6–137.3 | 187.9165.4–207.6 |
| 2023 | 113.188.8–147.8 | 185.3162.7–207.9 |
| 2024 | 121.591–149.4 | 192.2168–211.3 |
| 2025 | 115.889.9–141.1 | 188.6166.8–209.3 |
| 2026 | 112.283.6–145.9 | 188.5157.9–211.8 |
| 2027 | 115.482.9–143.9 | 189.2157–211.6 |
| 2028 | 118.387.9–145.1 | 189.6162.9–211.3 |
| 2029 | 120.789.9–140.1 | 190.4166.6–209.3 |
| 2030 | 117.292.5–147.7 | 191.6170.8–214.6 |
| 2031 | 123.397.3–147.8 | 192.2167.3–218 |
| 2032 | 118.791.5–148.1 | 191.2169.9–210.3 |
| 2033 | 123.791.9–159.9 | 195.3172.4–216.8 |
| 2034 | 120.889.9–159.1 | 197.1168.8–222.4 |
| 2035 | 122.892.3–153.1 | 196.4168.7–221.2 |
| 2036 | 118.790.7–147.5 | 191.3171.4–213.6 |
| 2037 | 127.792.4–161 | 198173.5–220.2 |
| 2038 | 129.5101.9–159.2 | 200.4179.8–221.2 |
| 2039 | 128.394.6–153.1 | 199.5171.5–218.6 |
| 2040 | 125.894.8–150.7 | 196.3172.7–217.9 |
| 2041 | 133.899.2–157.8 | 202.2174.1–221.8 |
| 2042 | 129.3101.8–150.8 | 201.6175.8–224.1 |
| 2043 | 124.788.4–161.9 | 198.7169.7–224.3 |
| 2044 | 12893.3–153.7 | 198.3173.4–222.2 |
| 2045 | 134.398–166.7 | 203.4179.1–224.6 |
| 2046 | 142.1102.3–172.2 | 210.2177.8–229.9 |
| 2047 | 139.3111.2–169.4 | 206.2180.9–228.4 |
| 2048 | 133.1102.8–175.4 | 204.6180–231.3 |
| 2049 | 144106.7–173.4 | 204.3178.2–227.3 |
| 2050 | 131.8102.7–175.9 | 205.3180.8–234.5 |
| 2051 | 136.9103.8–181 | 206.2186–229.8 |
| 2052 | 140.6107.1–170.7 | 209182–231.9 |
| 2053 | 136.798.4–174.4 | 208.7181.2–230.7 |
| 2054 | 143.499–172.9 | 211180.1–231.4 |
| 2055 | 143.4108.5–177.2 | 212.3184–233.5 |
| 2056 | 140.5106.1–187.1 | 208.5182.4–235.7 |
| 2057 | 152.3116.4–191.2 | 213.2186.4–240.1 |
| 2058 | 151.7101.9–183.5 | 213.4183–233.4 |
| 2059 | 145.9103.5–182.1 | 214.6189.2–242.4 |
| 2060 | 148.7106.5–190.2 | 213.7189.1–241.7 |
| 2061 | 149.5111.4–191.8 | 214.5186.1–239.4 |
| 2062 | 146.1106.4–194.6 | 214.4187–241.2 |
| 2063 | 147.1109.1–180.2 | 212.5181.1–235.9 |
| 2064 | 149.2109.2–185.1 | 214.9189.9–242.2 |
| 2065 | 153.7122.4–192.3 | 217.2195.4–238.5 |
| 2066 | 150.4119.4–190.7 | 217.1190.9–246.3 |
| 2067 | 149.8119–196.2 | 216.5188.1–243.9 |
| 2068 | 153.9118.8–193.6 | 216.7193.9–247.6 |
| 2069 | 148.8111.4–191.2 | 216.1187.6–243.2 |
| 2070 | 154.5117–195.8 | 219.4189.5–241.3 |
| 2071 | 153.5117.6–200.4 | 224.1190.5–247.8 |
| 2072 | 161.7122–189.2 | 222.3196.2–245.1 |
| 2073 | 159.7124.4–198.7 | 221.8196.1–246.8 |
| 2074 | 151.9106.9–200.6 | 218.1183.5–249 |
| 2075 | 155.5106.6–190 | 221.9188.6–243.6 |
| 2076 | 159.9116.3–216.8 | 222.4196.4–250.8 |
| 2077 | 163.6123.7–216.5 | 225.8194.6–252.8 |
| 2078 | 161.4123.3–199.6 | 224.1196.8–250.7 |
| 2079 | 158.8127.9–190.6 | 220.7194.1–245.3 |
| 2080 | 161.6116.1–198.3 | 225.9191.3–250 |
| 2081 | 163.3126.3–208.9 | 225.1197.7–250.3 |
| 2082 | 159.2127.6–200.5 | 222.6195.3–249.8 |
| 2083 | 168129–211.4 | 228.1199.6–251.9 |
| 2084 | 162.7120.4–199.8 | 224.5194.9–252.9 |
| 2085 | 166.1126.3–209.4 | 226.3199.3–251.5 |
| 2086 | 162.5122.2–208.7 | 225.2193.1–258.3 |
| 2087 | 163.7110.7–202.2 | 222.9190.2–250.1 |
| 2088 | 164.8122.3–214.2 | 220.4194.2–256.8 |
| 2089 | 162.4126–199.8 | 227195.7–249.8 |
| 2090 | 167120.8–211.8 | 229198.7–254.5 |
| 2091 | 165.6119.3–210.6 | 227196.4–254.1 |
| 2092 | 173.9126.9–217.6 | 227.2200.5–253.1 |
| 2093 | 168.8131.2–208.4 | 227.5203–252.1 |
| 2094 | 171.1131.9–222.8 | 231.9201.3–256 |
| 2095 | 171.7128.2–224.7 | 228.4202.1–255 |
| 2096 | 166.3122.8–214.1 | 226.4198.4–255.9 |
| 2097 | 165.8123.7–214.6 | 225.9196.5–255.7 |
| 2098 | 165.5125–217.9 | 227.8194.4–253.4 |
| 2099 | 171126.6–227.6 | 229.5200.7–257.4 |
| 2100 | 172124.2–217.9 | 230.7199.7–256.7 |
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
南苏丹与苏丹对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支南苏丹:2025 年为 GDP 的 3.43%苏丹:2021 年为 GDP 的 0.93%
- 军费开支(美元)南苏丹:2025 年为 US$1.03亿苏丹:2021 年为 US$27.7亿
- 人均军费开支南苏丹:2025 年为 US$15苏丹:2021 年为 US$8
- 军费占政府支出比例南苏丹:2025 年为 18.4%(占政府支出)苏丹:2021 年为 9.5%(占政府支出)
- 武装部队人员南苏丹:2020 年为 53,000 人苏丹:2020 年为 144,000 人
- 国家实力南苏丹:2022 年为 0.08%(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南苏丹:2020 年为 1.18%(占劳动力)苏丹:2020 年为 1.34%(占劳动力)
- 武器进口南苏丹:2022 年为 1000万 TIV苏丹:2025 年为 5700万 TIV