马里与坦桑尼亚对比
马里与坦桑尼亚:热带夜
2014 年热带夜:马里为 250.2 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 143.9 夜,是坦桑尼亚的 2.35 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,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 283.6 夜,坦桑尼亚为 208 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 马里 | 坦桑尼亚 |
|---|---|---|
| 2014 | 250.2 | 106.3 |
| 2013 | 247.3 | 105.5 |
| 2012 | 253.1 | 108.4 |
| 2011 | 251.9 | 109 |
| 2010 | 250.4 | 103.9 |
| 2009 | 248 | 101.1 |
| 2008 | 247.8 | 100.3 |
| 2007 | 248.1 | 99.5 |
| 2006 | 245.5 | 100.4 |
| 2005 | 244.3 | 98.7 |
| 2004 | 243.9 | 100.4 |
| 2003 | 247.1 | 99.6 |
| 2002 | 245.8 | 98.4 |
| 2001 | 245.6 | 101.5 |
| 2000 | 243.2 | 94.9 |
| 1999 | 242.4 | 94.2 |
| 1998 | 240.6 | 96.8 |
| 1997 | 240.7 | 93.5 |
| 1996 | 236.4 | 89.6 |
| 1995 | 238 | 88.5 |
| 1994 | 236.2 | 85.4 |
| 1993 | 235.1 | 81.2 |
| 1992 | 232 | 80.1 |
| 1991 | 238.7 | 89.6 |
| 1990 | 241 | 91.1 |
| 1989 | 236.3 | 89.1 |
| 1988 | 234.7 | 87.6 |
| 1987 | 236.1 | 88.5 |
| 1986 | 237.1 | 89.4 |
| 1985 | 235.3 | 83 |
| 1984 | 233 | 83.1 |
| 1983 | 231.2 | 82.1 |
| 1982 | 234.9 | 84.8 |
| 1981 | 233.9 | 88 |
| 1980 | 231.5 | 85 |
| 1979 | 233.8 | 85.5 |
| 1978 | 234.8 | 82.9 |
| 1977 | 233.6 | 84.1 |
| 1976 | 231.7 | 81 |
| 1975 | 232.4 | 80.8 |
| 1974 | 229.7 | 82.2 |
| 1973 | 230.3 | 83.6 |
| 1972 | 230.7 | 81.4 |
| 1971 | 229.5 | 80.7 |
| 1970 | 229.9 | 81.8 |
| 1969 | 227.3 | 79.5 |
| 1968 | 230.5 | 79.1 |
| 1967 | 229 | 77.5 |
| 1966 | 228.1 | 78.1 |
| 1965 | 230.2 | 78 |
| 1964 | 228.9 | 73.8 |
| 1963 | 228.2 | 73.1 |
| 1962 | 231.7 | 81.1 |
| 1961 | 231.6 | 82.6 |
| 1960 | 235.1 | 83.9 |
| 1959 | 231.8 | 81.4 |
| 1958 | 231.8 | 82.1 |
| 1957 | 233.3 | 80.9 |
| 1956 | 230.7 | 80 |
| 1955 | 230.6 | 81.6 |
| 1954 | 232 | 81.4 |
| 1953 | 228.3 | 80.6 |
| 1952 | 229.2 | 81.4 |
| 1951 | 231.4 | 82.1 |
| 1950 | 228.6 | 80.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 马里 | 坦桑尼亚 |
|---|---|---|
| 2015 | 247.9231.5–264.7 | 114.895.2–137.4 |
| 2016 | 248231.3–262.6 | 108.391.6–125.6 |
| 2017 | 252.7233.6–268.2 | 114.893.6–137.8 |
| 2018 | 254.2236.4–269 | 116.497.4–137.1 |
| 2019 | 251.6233.5–272.3 | 113.495.2–133.2 |
| 2020 | 251.3231.2–270.7 | 119.396.2–143.5 |
| 2021 | 254.8238.5–270 | 119.5100.9–147.1 |
| 2022 | 257237.8–275.3 | 124.4105.3–147.4 |
| 2023 | 254.2239.6–269.2 | 122.1102.1–147.8 |
| 2024 | 259.3242.3–276.8 | 126.2100–150.1 |
| 2025 | 256.2239.2–272.3 | 124.6100.9–154 |
| 2026 | 256.8237.2–277.8 | 126.999.1–155.6 |
| 2027 | 258.5240.3–273.1 | 128102.9–147.7 |
| 2028 | 259.7243.6–273.9 | 129.9106.4–152.1 |
| 2029 | 260.8240.3–275.3 | 134.1111–156.5 |
| 2030 | 258.1237.5–272.6 | 129.4106.4–151.1 |
| 2031 | 262.2243.4–280.6 | 136.4115.9–158.4 |
| 2032 | 260.5242.1–278.2 | 135.1114–166.8 |
| 2033 | 262.1241.7–280.3 | 135.2110.9–161.9 |
| 2034 | 260.7242–275.3 | 134.7112.5–166.3 |
| 2035 | 261.5244.8–283.6 | 140.2114.6–165 |
| 2036 | 262.5244.6–281.1 | 137.8113.3–165.5 |
| 2037 | 264.5245.2–279.6 | 142.9121.5–168.9 |
| 2038 | 266246.7–283.2 | 147.9124.3–169.3 |
| 2039 | 262.3245–281.6 | 144.3117.6–171.3 |
| 2040 | 263.6247.5–279.6 | 140.5117–178 |
| 2041 | 264.6250.8–283.1 | 149.1121.7–175.6 |
| 2042 | 265.7245.9–283.5 | 146.3120.5–185.3 |
| 2043 | 264.8246.9–278.8 | 144.6117–173 |
| 2044 | 269.3247.4–284.7 | 147.7121.2–175.8 |
| 2045 | 265.6248.9–283.7 | 150.1125.2–183.4 |
| 2046 | 269.8247.5–286.4 | 161.5128.6–192.2 |
| 2047 | 271.9251.2–290.3 | 160.2129.7–194.4 |
| 2048 | 270.4254.4–288.2 | 158.8132.7–193.1 |
| 2049 | 272252.1–288.2 | 157.6131.1–196 |
| 2050 | 269.5250.6–286.4 | 159.7127.8–192 |
| 2051 | 268.8251.7–286.9 | 163.2135.5–197.8 |
| 2052 | 270.1252.7–292.1 | 161.9136.2–199.1 |
| 2053 | 269.3249.2–288.8 | 160.6127.5–197.7 |
| 2054 | 270.3251.7–290.6 | 163.2131.5–200.2 |
| 2055 | 270.9252.7–288.1 | 167.4137–208.3 |
| 2056 | 273248.6–291.4 | 166.4130.8–209.7 |
| 2057 | 275.5255.2–295 | 168134.6–208.3 |
| 2058 | 271252.7–293.2 | 168.7134.9–210.3 |
| 2059 | 274.5259.3–299.6 | 174.7144.9–219.5 |
| 2060 | 273.5258–293.7 | 181.7138.1–219.8 |
| 2061 | 275.4257–298 | 171.8135.5–218.1 |
| 2062 | 270.8251.7–291.8 | 177.5139.9–224 |
| 2063 | 275.9256.6–292.2 | 181.4140.1–213.8 |
| 2064 | 276.4256.6–298.4 | 185.3140.1–215.2 |
| 2065 | 275.3256–295.1 | 183.5141.1–221.8 |
| 2066 | 276.9260–296.5 | 181.9146.3–219.3 |
| 2067 | 272.6255.4–293.3 | 178.8138.8–229.2 |
| 2068 | 277.5258.1–296.5 | 186144.2–228.4 |
| 2069 | 276.1257.7–293.3 | 183.7141.7–225.3 |
| 2070 | 277.2256.6–296.6 | 180.7140.4–228.2 |
| 2071 | 277.2258.4–295.6 | 184.9146.9–235.2 |
| 2072 | 281.9263.8–298.9 | 191.3155–226.1 |
| 2073 | 276.8257.9–296.8 | 191.6152.4–235.6 |
| 2074 | 277.7258.7–295.9 | 183.3149.7–231.7 |
| 2075 | 278.5260.1–298.5 | 183.8144.8–233 |
| 2076 | 278.1261.1–294.2 | 191.1150.9–233.2 |
| 2077 | 283.8263.1–302.3 | 191.3152.6–238.2 |
| 2078 | 283.8263.5–299.4 | 189156.6–233.8 |
| 2079 | 278.9259.2–300.6 | 190.5147–237.3 |
| 2080 | 281.2262.1–299.4 | 197.3150.7–241.2 |
| 2081 | 279.1259.3–301.8 | 195.6153.4–237.4 |
| 2082 | 280.2260.2–298.4 | 194.5157.3–237.3 |
| 2083 | 280.8260.8–302.3 | 193.2151–249.8 |
| 2084 | 280.4263.8–301 | 201.1152.2–246.7 |
| 2085 | 284.6259.2–303 | 204.2162.3–252.3 |
| 2086 | 281.9262.8–302.4 | 195156–248.7 |
| 2087 | 279.7258.8–302.8 | 196.7160.8–244.5 |
| 2088 | 282.3260.7–303.3 | 208.4154.7–246.9 |
| 2089 | 283.4262.4–300.5 | 201.3158.6–248.2 |
| 2090 | 283.9259.8–301.9 | 197.9160.7–253.6 |
| 2091 | 283.1260.4–304.8 | 210161.6–256 |
| 2092 | 281.6259.7–303.1 | 205.8158.3–253.6 |
| 2093 | 284.8265.8–305.4 | 207.2161.2–251.9 |
| 2094 | 284.6262.8–305.6 | 207.9161.3–250.6 |
| 2095 | 283.6262–304.6 | 214.2166.4–258.5 |
| 2096 | 284.9263.3–306.3 | 205.3159.8–257.4 |
| 2097 | 280261–300.5 | 206.6158.4–256.8 |
| 2098 | 282.5262–302.1 | 209.1161–258.3 |
| 2099 | 285.3266.2–305.4 | 208.5160.1–256 |
| 2100 | 283.6262.8–304.1 | 208158.6–258.6 |
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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
马里与坦桑尼亚对比
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军用
- 军费开支马里:2025 年为 GDP 的 3.87%坦桑尼亚:2025 年为 GDP 的 1.16%
- 军费开支(美元)马里:2025 年为 US$8.83亿坦桑尼亚:2025 年为 US$9.83亿
- 人均军费开支马里:2025 年为 US$38坦桑尼亚: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)坦桑尼亚:2025 年为 5.8%(占政府支出)
- 武装部队人员马里:2020 年为 41,000 人坦桑尼亚:2020 年为 28,000 人
- 国家实力马里:2022 年为 0.1%(占全球实力)坦桑尼亚:2022 年为 0.25%(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)坦桑尼亚:2020 年为 0.1%(占劳动力)
- 武器进口马里:2025 年为 6400万 TIV坦桑尼亚:2025 年为 400万 TIV