布基纳法索与马里对比
布基纳法索与马里:35 °C 以上天数
2014 年35 °C 以上天数:布基纳法索为 177.4 天,马里为 205.3 天(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 27.9 天,是布基纳法索的 1.16 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 年布基纳法索为 245.7 天,马里为 250.4 天。
逐年数据
每年天数 · CMIP6
| 年份 | 布基纳法索 | 马里 |
|---|---|---|
| 2014 | 177.4 | 205.3 |
| 2013 | 171.9 | 204.6 |
| 2012 | 170.9 | 205.2 |
| 2011 | 170.8 | 205 |
| 2010 | 166.4 | 201.7 |
| 2009 | 165.1 | 201.1 |
| 2008 | 164.2 | 200.4 |
| 2007 | 163.3 | 201.3 |
| 2006 | 162.7 | 198.2 |
| 2005 | 162.9 | 198.1 |
| 2004 | 170.8 | 201.5 |
| 2003 | 165.6 | 198.8 |
| 2002 | 163.8 | 200.1 |
| 2001 | 170.1 | 198.2 |
| 2000 | 162.9 | 195.8 |
| 1999 | 157.3 | 194.7 |
| 1998 | 155.2 | 193.3 |
| 1997 | 161.5 | 194.1 |
| 1996 | 152.4 | 188.1 |
| 1995 | 150.5 | 189.6 |
| 1994 | 142.5 | 187 |
| 1993 | 137.5 | 183.1 |
| 1992 | 137.6 | 181.5 |
| 1991 | 151.5 | 191.7 |
| 1990 | 157.8 | 192.8 |
| 1989 | 151.7 | 189.4 |
| 1988 | 150.2 | 187.1 |
| 1987 | 151.1 | 188.2 |
| 1986 | 154.4 | 190.4 |
| 1985 | 145.5 | 185.4 |
| 1984 | 148 | 186.1 |
| 1983 | 148.1 | 186.8 |
| 1982 | 147.5 | 187.2 |
| 1981 | 149.6 | 187 |
| 1980 | 154.6 | 189 |
| 1979 | 152.1 | 188.8 |
| 1978 | 146.1 | 184.1 |
| 1977 | 149.6 | 184.6 |
| 1976 | 142.3 | 184.9 |
| 1975 | 140.2 | 183 |
| 1974 | 140.2 | 180 |
| 1973 | 150.1 | 185.9 |
| 1972 | 144.8 | 182.7 |
| 1971 | 141.7 | 181.8 |
| 1970 | 145.9 | 184.4 |
| 1969 | 147.9 | 184.7 |
| 1968 | 140.2 | 182.4 |
| 1967 | 141 | 179.2 |
| 1966 | 138.2 | 182.3 |
| 1965 | 142 | 180.5 |
| 1964 | 127.3 | 177.2 |
| 1963 | 132.5 | 177.9 |
| 1962 | 145 | 185.3 |
| 1961 | 150 | 186.4 |
| 1960 | 151.8 | 189.3 |
| 1959 | 146.2 | 187.2 |
| 1958 | 150.3 | 185.9 |
| 1957 | 152.8 | 191.6 |
| 1956 | 141.2 | 182.5 |
| 1955 | 143.7 | 185.5 |
| 1954 | 150.6 | 187.6 |
| 1953 | 153.5 | 186.3 |
| 1952 | 145.7 | 184.5 |
| 1951 | 151.2 | 186 |
| 1950 | 144.8 | 183 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 布基纳法索 | 马里 |
|---|---|---|
| 2015 | 171.8138.5–202.8 | 205.1181.6–226.2 |
| 2016 | 167138.6–189.8 | 202177.4–219.9 |
| 2017 | 173136.2–207.5 | 208.7184.8–230 |
| 2018 | 167.9137.3–197.7 | 203.5179–226.6 |
| 2019 | 175.4136.6–201.5 | 207.3177.3–229.3 |
| 2020 | 174.1132.8–206.2 | 205.3176.9–227.9 |
| 2021 | 173.4149–204 | 207.3189.4–228.8 |
| 2022 | 179.9147.4–206.6 | 212.7186.6–234.9 |
| 2023 | 175.9143.4–203.4 | 208.3186.1–232.4 |
| 2024 | 185.5154.5–217.4 | 216.7191.8–240.5 |
| 2025 | 180.8148.5–207.8 | 212.9190.9–233.9 |
| 2026 | 184.8125.9–213.3 | 214175.7–236 |
| 2027 | 185.6144.6–214.2 | 214.4187.3–235.9 |
| 2028 | 189.4147.6–221.4 | 217.9191.7–234.6 |
| 2029 | 188.6155.5–213.2 | 214193–233.5 |
| 2030 | 188.2153.3–224.2 | 215.1189.6–236.7 |
| 2031 | 190.7158.2–220 | 217.8194.8–239.2 |
| 2032 | 189.7144.5–222.8 | 215.6188.8–241.2 |
| 2033 | 190.6150.8–223.1 | 217.3191.2–240.5 |
| 2034 | 182.7151.2–226.6 | 215.5193.5–241 |
| 2035 | 195.9147–222.6 | 220.3192.4–241.1 |
| 2036 | 191.3152.7–227.7 | 217.1193.6–243.4 |
| 2037 | 198.5161.4–227.4 | 224.3198.3–242.7 |
| 2038 | 200.4157.8–231.7 | 222.3194.3–251 |
| 2039 | 191.9165.2–229.3 | 219.2196.6–247.4 |
| 2040 | 199.4166.4–229.5 | 223.3201–245.1 |
| 2041 | 202.3167.7–230.7 | 225.1204.4–245.5 |
| 2042 | 201.6158.8–230.6 | 226199.1–248.7 |
| 2043 | 196171.6–228 | 223.1202.4–244.4 |
| 2044 | 204.2159.8–236.6 | 226.3197.8–250.4 |
| 2045 | 205.6165.3–232.4 | 226.9202.5–248.2 |
| 2046 | 206.7168.7–236.9 | 228.6199.3–250.6 |
| 2047 | 212.3165.8–237.4 | 232.2203.4–255.4 |
| 2048 | 209.2175.1–235.8 | 232.1208.4–251.3 |
| 2049 | 202.6175.1–236.6 | 228.3206.3–249.9 |
| 2050 | 205.7170.1–250.8 | 227.9204.5–253.3 |
| 2051 | 206173.1–245.1 | 225.8205–252.8 |
| 2052 | 216167.4–251.3 | 233.4204.7–262.2 |
| 2053 | 209.8164.8–248 | 228.5204.3–257.4 |
| 2054 | 216175.1–253.5 | 231.7207.6–260.8 |
| 2055 | 212.6179.6–249.1 | 235.2209.3–258.2 |
| 2056 | 217.5177.9–254.9 | 236.4209–259.9 |
| 2057 | 225.7184.4–260.6 | 238.9212.9–266.1 |
| 2058 | 218.7182–255.8 | 232.2209.6–263.7 |
| 2059 | 217.4186.9–255.5 | 238.6213–263.1 |
| 2060 | 217.2181.4–253.1 | 235.3213.6–260.9 |
| 2061 | 223182.6–263.1 | 239.6210.7–268.2 |
| 2062 | 217.6182–260.7 | 236.3210.8–264.6 |
| 2063 | 223.4187.5–260 | 238.3214.5–260.1 |
| 2064 | 224.2183–252.2 | 239215.2–265.3 |
| 2065 | 225.1190.1–255.2 | 239.8216.5–260 |
| 2066 | 227.3190.1–263.3 | 240.4219.8–269.8 |
| 2067 | 219.3187.3–256.8 | 234.5212.7–260.9 |
| 2068 | 224.6179.7–260 | 239.3213.8–265.9 |
| 2069 | 219.3179–264.3 | 241213–262.1 |
| 2070 | 224.3183.9–265.6 | 241.2213.9–266.1 |
| 2071 | 226.6183.6–266.4 | 239.6216.8–268.4 |
| 2072 | 229.4193.4–265.8 | 244.7222.5–271.9 |
| 2073 | 230194.7–270.6 | 243.1216.4–269.2 |
| 2074 | 224.9185–275.2 | 243.3216.9–272.6 |
| 2075 | 238.9189.1–262.1 | 244.5217.8–270 |
| 2076 | 231.6194.9–271.7 | 245219.7–267.6 |
| 2077 | 241.9190.8–279.1 | 249.7217.4–277.9 |
| 2078 | 234.6189.9–278.6 | 247.1219.3–274.3 |
| 2079 | 230.6194.9–269.2 | 245218.1–272.2 |
| 2080 | 239.5189.7–275.3 | 247.1219.9–274.3 |
| 2081 | 234.4190–280.1 | 244.6216.8–276.5 |
| 2082 | 230197.6–277.7 | 244.9220.3–276 |
| 2083 | 236.9200.8–270 | 249.3222.7–275.6 |
| 2084 | 232.8200.8–273.8 | 244.5220.6–274.1 |
| 2085 | 244.3201.6–278.9 | 252.2220.4–277.5 |
| 2086 | 236.6192.9–281.6 | 247221.5–277.6 |
| 2087 | 236.3186.9–275.1 | 243212.5–274.4 |
| 2088 | 233.1189.9–280.9 | 245.7222.2–279.5 |
| 2089 | 229.4191.6–282.5 | 245.4217.4–278.8 |
| 2090 | 238.6197.4–278.1 | 249.8217.9–273.1 |
| 2091 | 241.2205.8–274.6 | 249.3224.1–276.6 |
| 2092 | 247.9196–276.6 | 250.8219.8–275.2 |
| 2093 | 243195.2–289.1 | 249.4221.9–280.7 |
| 2094 | 245.7207.9–277.4 | 252.8226.8–277.6 |
| 2095 | 250.4189.1–284.6 | 251.7220.9–277.7 |
| 2096 | 238.4206.4–283.7 | 251.6226.6–279.2 |
| 2097 | 231.9194–278.5 | 246.5221.7–275 |
| 2098 | 240.9202.3–274.2 | 252.7226–275.1 |
| 2099 | 244.4202.7–283.6 | 253.6226.7–282.1 |
| 2100 | 245.7203.3–288.4 | 250.4223.5–278.7 |
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
布基纳法索与马里对比
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军用
- 军费开支布基纳法索:2025 年为 GDP 的 3.3%马里:2025 年为 GDP 的 3.87%
- 军费开支(美元)布基纳法索:2025 年为 US$8.44亿马里:2025 年为 US$8.83亿
- 人均军费开支布基纳法索:2025 年为 US$37马里:2025 年为 US$38
- 军费占政府支出比例布基纳法索:2025 年为 13.2%(占政府支出)马里:2025 年为 14.8%(占政府支出)
- 武装部队人员布基纳法索:2020 年为 11,000 人马里:2020 年为 41,000 人
- 国家实力布基纳法索:2022 年为 0.09%(占全球实力)马里:2022 年为 0.1%(占全球实力)
- 武装部队占劳动力比例布基纳法索:2020 年为 0.12%(占劳动力)马里:2020 年为 0.54%(占劳动力)
- 武器进口布基纳法索:2025 年为 3400万 TIV马里:2025 年为 6400万 TIV