马里与南苏丹对比
马里与南苏丹:35 °C 以上天数
2014 年35 °C 以上天数:马里为 205.3 天,南苏丹为 115.2 天(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 90.1 天,是南苏丹的 1.78 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,马里的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年马里为 250.4 天,南苏丹为 172 天。
逐年数据
每年天数 · CMIP6
| 年份 | 马里 | 南苏丹 |
|---|---|---|
| 2014 | 205.3 | 115.2 |
| 2013 | 204.6 | 111.2 |
| 2012 | 205.2 | 108.8 |
| 2011 | 205 | 112.9 |
| 2010 | 201.7 | 112.8 |
| 2009 | 201.1 | 104.3 |
| 2008 | 200.4 | 104.2 |
| 2007 | 201.3 | 100.7 |
| 2006 | 198.2 | 105.3 |
| 2005 | 198.1 | 102.8 |
| 2004 | 201.5 | 103.4 |
| 2003 | 198.8 | 102.5 |
| 2002 | 200.1 | 104.6 |
| 2001 | 198.2 | 108.9 |
| 2000 | 195.8 | 99.1 |
| 1999 | 194.7 | 97.8 |
| 1998 | 193.3 | 97.6 |
| 1997 | 194.1 | 99.2 |
| 1996 | 188.1 | 94 |
| 1995 | 189.6 | 94 |
| 1994 | 187 | 89.9 |
| 1993 | 183.1 | 84.6 |
| 1992 | 181.5 | 87.9 |
| 1991 | 191.7 | 95.2 |
| 1990 | 192.8 | 94 |
| 1989 | 189.4 | 93.6 |
| 1988 | 187.1 | 98 |
| 1987 | 188.2 | 97.7 |
| 1986 | 190.4 | 97.9 |
| 1985 | 185.4 | 89.8 |
| 1984 | 186.1 | 90.8 |
| 1983 | 186.8 | 90.8 |
| 1982 | 187.2 | 89.3 |
| 1981 | 187 | 96.2 |
| 1980 | 189 | 97.5 |
| 1979 | 188.8 | 95.4 |
| 1978 | 184.1 | 89.1 |
| 1977 | 184.6 | 92.9 |
| 1976 | 184.9 | 86.7 |
| 1975 | 183 | 91.5 |
| 1974 | 180 | 90 |
| 1973 | 185.9 | 90.1 |
| 1972 | 182.7 | 89.8 |
| 1971 | 181.8 | 84.8 |
| 1970 | 184.4 | 87.8 |
| 1969 | 184.7 | 90.8 |
| 1968 | 182.4 | 85.5 |
| 1967 | 179.2 | 84.3 |
| 1966 | 182.3 | 87 |
| 1965 | 180.5 | 82.2 |
| 1964 | 177.2 | 79.2 |
| 1963 | 177.9 | 84.4 |
| 1962 | 185.3 | 93.5 |
| 1961 | 186.4 | 90.4 |
| 1960 | 189.3 | 92 |
| 1959 | 187.2 | 90.1 |
| 1958 | 185.9 | 88 |
| 1957 | 191.6 | 90.7 |
| 1956 | 182.5 | 85.5 |
| 1955 | 185.5 | 87.3 |
| 1954 | 187.6 | 91 |
| 1953 | 186.3 | 95.5 |
| 1952 | 184.5 | 88.7 |
| 1951 | 186 | 93.2 |
| 1950 | 183 | 86.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 马里 | 南苏丹 |
|---|---|---|
| 2015 | 205.1181.6–226.2 | 112.487.1–135.9 |
| 2016 | 202177.4–219.9 | 103.878.8–129.9 |
| 2017 | 208.7184.8–230 | 114.384.4–134.8 |
| 2018 | 203.5179–226.6 | 109.674.1–140.7 |
| 2019 | 207.3177.3–229.3 | 107.285.2–133.3 |
| 2020 | 205.3176.9–227.9 | 114.783–140.8 |
| 2021 | 207.3189.4–228.8 | 112.182.3–137.9 |
| 2022 | 212.7186.6–234.9 | 108.880.6–137.3 |
| 2023 | 208.3186.1–232.4 | 113.188.8–147.8 |
| 2024 | 216.7191.8–240.5 | 121.591–149.4 |
| 2025 | 212.9190.9–233.9 | 115.889.9–141.1 |
| 2026 | 214175.7–236 | 112.283.6–145.9 |
| 2027 | 214.4187.3–235.9 | 115.482.9–143.9 |
| 2028 | 217.9191.7–234.6 | 118.387.9–145.1 |
| 2029 | 214193–233.5 | 120.789.9–140.1 |
| 2030 | 215.1189.6–236.7 | 117.292.5–147.7 |
| 2031 | 217.8194.8–239.2 | 123.397.3–147.8 |
| 2032 | 215.6188.8–241.2 | 118.791.5–148.1 |
| 2033 | 217.3191.2–240.5 | 123.791.9–159.9 |
| 2034 | 215.5193.5–241 | 120.889.9–159.1 |
| 2035 | 220.3192.4–241.1 | 122.892.3–153.1 |
| 2036 | 217.1193.6–243.4 | 118.790.7–147.5 |
| 2037 | 224.3198.3–242.7 | 127.792.4–161 |
| 2038 | 222.3194.3–251 | 129.5101.9–159.2 |
| 2039 | 219.2196.6–247.4 | 128.394.6–153.1 |
| 2040 | 223.3201–245.1 | 125.894.8–150.7 |
| 2041 | 225.1204.4–245.5 | 133.899.2–157.8 |
| 2042 | 226199.1–248.7 | 129.3101.8–150.8 |
| 2043 | 223.1202.4–244.4 | 124.788.4–161.9 |
| 2044 | 226.3197.8–250.4 | 12893.3–153.7 |
| 2045 | 226.9202.5–248.2 | 134.398–166.7 |
| 2046 | 228.6199.3–250.6 | 142.1102.3–172.2 |
| 2047 | 232.2203.4–255.4 | 139.3111.2–169.4 |
| 2048 | 232.1208.4–251.3 | 133.1102.8–175.4 |
| 2049 | 228.3206.3–249.9 | 144106.7–173.4 |
| 2050 | 227.9204.5–253.3 | 131.8102.7–175.9 |
| 2051 | 225.8205–252.8 | 136.9103.8–181 |
| 2052 | 233.4204.7–262.2 | 140.6107.1–170.7 |
| 2053 | 228.5204.3–257.4 | 136.798.4–174.4 |
| 2054 | 231.7207.6–260.8 | 143.499–172.9 |
| 2055 | 235.2209.3–258.2 | 143.4108.5–177.2 |
| 2056 | 236.4209–259.9 | 140.5106.1–187.1 |
| 2057 | 238.9212.9–266.1 | 152.3116.4–191.2 |
| 2058 | 232.2209.6–263.7 | 151.7101.9–183.5 |
| 2059 | 238.6213–263.1 | 145.9103.5–182.1 |
| 2060 | 235.3213.6–260.9 | 148.7106.5–190.2 |
| 2061 | 239.6210.7–268.2 | 149.5111.4–191.8 |
| 2062 | 236.3210.8–264.6 | 146.1106.4–194.6 |
| 2063 | 238.3214.5–260.1 | 147.1109.1–180.2 |
| 2064 | 239215.2–265.3 | 149.2109.2–185.1 |
| 2065 | 239.8216.5–260 | 153.7122.4–192.3 |
| 2066 | 240.4219.8–269.8 | 150.4119.4–190.7 |
| 2067 | 234.5212.7–260.9 | 149.8119–196.2 |
| 2068 | 239.3213.8–265.9 | 153.9118.8–193.6 |
| 2069 | 241213–262.1 | 148.8111.4–191.2 |
| 2070 | 241.2213.9–266.1 | 154.5117–195.8 |
| 2071 | 239.6216.8–268.4 | 153.5117.6–200.4 |
| 2072 | 244.7222.5–271.9 | 161.7122–189.2 |
| 2073 | 243.1216.4–269.2 | 159.7124.4–198.7 |
| 2074 | 243.3216.9–272.6 | 151.9106.9–200.6 |
| 2075 | 244.5217.8–270 | 155.5106.6–190 |
| 2076 | 245219.7–267.6 | 159.9116.3–216.8 |
| 2077 | 249.7217.4–277.9 | 163.6123.7–216.5 |
| 2078 | 247.1219.3–274.3 | 161.4123.3–199.6 |
| 2079 | 245218.1–272.2 | 158.8127.9–190.6 |
| 2080 | 247.1219.9–274.3 | 161.6116.1–198.3 |
| 2081 | 244.6216.8–276.5 | 163.3126.3–208.9 |
| 2082 | 244.9220.3–276 | 159.2127.6–200.5 |
| 2083 | 249.3222.7–275.6 | 168129–211.4 |
| 2084 | 244.5220.6–274.1 | 162.7120.4–199.8 |
| 2085 | 252.2220.4–277.5 | 166.1126.3–209.4 |
| 2086 | 247221.5–277.6 | 162.5122.2–208.7 |
| 2087 | 243212.5–274.4 | 163.7110.7–202.2 |
| 2088 | 245.7222.2–279.5 | 164.8122.3–214.2 |
| 2089 | 245.4217.4–278.8 | 162.4126–199.8 |
| 2090 | 249.8217.9–273.1 | 167120.8–211.8 |
| 2091 | 249.3224.1–276.6 | 165.6119.3–210.6 |
| 2092 | 250.8219.8–275.2 | 173.9126.9–217.6 |
| 2093 | 249.4221.9–280.7 | 168.8131.2–208.4 |
| 2094 | 252.8226.8–277.6 | 171.1131.9–222.8 |
| 2095 | 251.7220.9–277.7 | 171.7128.2–224.7 |
| 2096 | 251.6226.6–279.2 | 166.3122.8–214.1 |
| 2097 | 246.5221.7–275 | 165.8123.7–214.6 |
| 2098 | 252.7226–275.1 | 165.5125–217.9 |
| 2099 | 253.6226.7–282.1 | 171126.6–227.6 |
| 2100 | 250.4223.5–278.7 | 172124.2–217.9 |
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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
马里与南苏丹对比
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军用
- 军费开支马里:2025 年为 GDP 的 3.87%南苏丹:2025 年为 GDP 的 3.43%
- 军费开支(美元)马里:2025 年为 US$8.83亿南苏丹:2025 年为 US$1.03亿
- 人均军费开支马里:2025 年为 US$38南苏丹:2025 年为 US$15
- 军费占政府支出比例马里:2025 年为 14.8%(占政府支出)南苏丹:2025 年为 18.4%(占政府支出)
- 武装部队人员马里:2020 年为 41,000 人南苏丹:2020 年为 53,000 人
- 国家实力马里:2022 年为 0.1%(占全球实力)南苏丹:2022 年为 0.08%(占全球实力)
- 武装部队占劳动力比例马里:2020 年为 0.54%(占劳动力)南苏丹:2020 年为 1.18%(占劳动力)
- 武器进口马里:2025 年为 6400万 TIV南苏丹:2022 年为 1000万 TIV