马里与莫桑比克对比
马里与莫桑比克:热带夜
2014 年热带夜:马里为 250.2 夜,莫桑比克为 186.3 夜(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 63.9 夜,是莫桑比克的 1.34 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,莫桑比克为 254.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 马里 | 莫桑比克 |
|---|---|---|
| 2014 | 250.2 | 186.3 |
| 2013 | 247.3 | 186.9 |
| 2012 | 253.1 | 185.2 |
| 2011 | 251.9 | 184.1 |
| 2010 | 250.4 | 182.2 |
| 2009 | 248 | 178.2 |
| 2008 | 247.8 | 176.8 |
| 2007 | 248.1 | 178.9 |
| 2006 | 245.5 | 177.4 |
| 2005 | 244.3 | 176.9 |
| 2004 | 243.9 | 181 |
| 2003 | 247.1 | 180 |
| 2002 | 245.8 | 177.1 |
| 2001 | 245.6 | 180.6 |
| 2000 | 243.2 | 173.6 |
| 1999 | 242.4 | 171.5 |
| 1998 | 240.6 | 174.1 |
| 1997 | 240.7 | 169.9 |
| 1996 | 236.4 | 164.7 |
| 1995 | 238 | 165.8 |
| 1994 | 236.2 | 163.1 |
| 1993 | 235.1 | 155.5 |
| 1992 | 232 | 156 |
| 1991 | 238.7 | 167.5 |
| 1990 | 241 | 170.2 |
| 1989 | 236.3 | 164 |
| 1988 | 234.7 | 166.4 |
| 1987 | 236.1 | 166 |
| 1986 | 237.1 | 166.6 |
| 1985 | 235.3 | 159.3 |
| 1984 | 233 | 161.1 |
| 1983 | 231.2 | 159.7 |
| 1982 | 234.9 | 160.6 |
| 1981 | 233.9 | 164.5 |
| 1980 | 231.5 | 161.9 |
| 1979 | 233.8 | 162.2 |
| 1978 | 234.8 | 160.2 |
| 1977 | 233.6 | 160.2 |
| 1976 | 231.7 | 157.4 |
| 1975 | 232.4 | 157.7 |
| 1974 | 229.7 | 159.1 |
| 1973 | 230.3 | 160.4 |
| 1972 | 230.7 | 157.6 |
| 1971 | 229.5 | 155.6 |
| 1970 | 229.9 | 159.7 |
| 1969 | 227.3 | 157.8 |
| 1968 | 230.5 | 153 |
| 1967 | 229 | 152.8 |
| 1966 | 228.1 | 152.5 |
| 1965 | 230.2 | 153.1 |
| 1964 | 228.9 | 145.9 |
| 1963 | 228.2 | 146.8 |
| 1962 | 231.7 | 158.5 |
| 1961 | 231.6 | 158.8 |
| 1960 | 235.1 | 160.6 |
| 1959 | 231.8 | 159.7 |
| 1958 | 231.8 | 159.5 |
| 1957 | 233.3 | 156.9 |
| 1956 | 230.7 | 153.4 |
| 1955 | 230.6 | 159.6 |
| 1954 | 232 | 155.4 |
| 1953 | 228.3 | 156.8 |
| 1952 | 229.2 | 156.6 |
| 1951 | 231.4 | 157.4 |
| 1950 | 228.6 | 156.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 马里 | 莫桑比克 |
|---|---|---|
| 2015 | 247.9231.5–264.7 | 191170.1–212.1 |
| 2016 | 248231.3–262.6 | 187.6168.6–208.2 |
| 2017 | 252.7233.6–268.2 | 190.1169.4–210.1 |
| 2018 | 254.2236.4–269 | 189.8163.6–212.8 |
| 2019 | 251.6233.5–272.3 | 189.7171.9–208.8 |
| 2020 | 251.3231.2–270.7 | 191.3169–213.8 |
| 2021 | 254.8238.5–270 | 193.1172.7–212.9 |
| 2022 | 257237.8–275.3 | 199.9176.3–216.7 |
| 2023 | 254.2239.6–269.2 | 196.8176.4–217.3 |
| 2024 | 259.3242.3–276.8 | 199.7173.4–222.8 |
| 2025 | 256.2239.2–272.3 | 195.7173–219.1 |
| 2026 | 256.8237.2–277.8 | 197.7172.6–219.3 |
| 2027 | 258.5240.3–273.1 | 199.9177.9–221.8 |
| 2028 | 259.7243.6–273.9 | 202.5181.1–221.1 |
| 2029 | 260.8240.3–275.3 | 207.6187.3–227.3 |
| 2030 | 258.1237.5–272.6 | 203.6183.2–223.8 |
| 2031 | 262.2243.4–280.6 | 207.3188.7–225 |
| 2032 | 260.5242.1–278.2 | 207.4186.7–230.9 |
| 2033 | 262.1241.7–280.3 | 206.1180.7–226.1 |
| 2034 | 260.7242–275.3 | 206.3181.3–227.7 |
| 2035 | 261.5244.8–283.6 | 208.2184.1–233.6 |
| 2036 | 262.5244.6–281.1 | 208.3183.8–226.4 |
| 2037 | 264.5245.2–279.6 | 213.7191.8–234.3 |
| 2038 | 266246.7–283.2 | 218.4195.7–240.9 |
| 2039 | 262.3245–281.6 | 212.6192.3–233.5 |
| 2040 | 263.6247.5–279.6 | 212.7189–233.9 |
| 2041 | 264.6250.8–283.1 | 213.1187.1–238 |
| 2042 | 265.7245.9–283.5 | 214.9190.4–241.3 |
| 2043 | 264.8246.9–278.8 | 216196.2–238.9 |
| 2044 | 269.3247.4–284.7 | 220.2196.1–242.1 |
| 2045 | 265.6248.9–283.7 | 217.2198.6–237.6 |
| 2046 | 269.8247.5–286.4 | 224.4200.5–247.6 |
| 2047 | 271.9251.2–290.3 | 224.5201.3–246.3 |
| 2048 | 270.4254.4–288.2 | 225.7205–247.5 |
| 2049 | 272252.1–288.2 | 226.4199.2–247.8 |
| 2050 | 269.5250.6–286.4 | 225.5198.1–246.6 |
| 2051 | 268.8251.7–286.9 | 227.5206.2–248.7 |
| 2052 | 270.1252.7–292.1 | 230.5208.6–255.2 |
| 2053 | 269.3249.2–288.8 | 226.3200.4–250 |
| 2054 | 270.3251.7–290.6 | 227.8203.9–256.1 |
| 2055 | 270.9252.7–288.1 | 231.5208.3–254.4 |
| 2056 | 273248.6–291.4 | 227.8204.6–253.1 |
| 2057 | 275.5255.2–295 | 227.6205.7–252.2 |
| 2058 | 271252.7–293.2 | 230.2208.3–251.8 |
| 2059 | 274.5259.3–299.6 | 235.5212.5–261.4 |
| 2060 | 273.5258–293.7 | 237.5208.9–257.9 |
| 2061 | 275.4257–298 | 232.1204.8–256.1 |
| 2062 | 270.8251.7–291.8 | 233.2208.6–257.9 |
| 2063 | 275.9256.6–292.2 | 233.3207.3–261.6 |
| 2064 | 276.4256.6–298.4 | 234.6209.3–255.8 |
| 2065 | 275.3256–295.1 | 236208.7–261 |
| 2066 | 276.9260–296.5 | 239.4213.6–261.8 |
| 2067 | 272.6255.4–293.3 | 235.5205.9–259.4 |
| 2068 | 277.5258.1–296.5 | 237.7211–264.3 |
| 2069 | 276.1257.7–293.3 | 241.1212.2–263.4 |
| 2070 | 277.2256.6–296.6 | 240.7212.1–266 |
| 2071 | 277.2258.4–295.6 | 244.1214.3–272.8 |
| 2072 | 281.9263.8–298.9 | 244.7215.8–267.8 |
| 2073 | 276.8257.9–296.8 | 246214.2–267.6 |
| 2074 | 277.7258.7–295.9 | 242.2219.9–271.1 |
| 2075 | 278.5260.1–298.5 | 244.4215.6–267.9 |
| 2076 | 278.1261.1–294.2 | 240.8211–264.8 |
| 2077 | 283.8263.1–302.3 | 241.4214.7–272.4 |
| 2078 | 283.8263.5–299.4 | 245.4220.8–271.1 |
| 2079 | 278.9259.2–300.6 | 244.1214.3–276.4 |
| 2080 | 281.2262.1–299.4 | 246.1221–273.6 |
| 2081 | 279.1259.3–301.8 | 245.6214.5–268.1 |
| 2082 | 280.2260.2–298.4 | 246.9220.6–268.3 |
| 2083 | 280.8260.8–302.3 | 247.3217.4–276.4 |
| 2084 | 280.4263.8–301 | 248.5223.3–270.9 |
| 2085 | 284.6259.2–303 | 253.4221.5–277.6 |
| 2086 | 281.9262.8–302.4 | 242.9216.4–272.3 |
| 2087 | 279.7258.8–302.8 | 247.4222.8–271.3 |
| 2088 | 282.3260.7–303.3 | 253221.1–274.9 |
| 2089 | 283.4262.4–300.5 | 251.6221.9–277.3 |
| 2090 | 283.9259.8–301.9 | 249.9218.6–277.9 |
| 2091 | 283.1260.4–304.8 | 253.2221.4–280.8 |
| 2092 | 281.6259.7–303.1 | 252.7221.5–279.5 |
| 2093 | 284.8265.8–305.4 | 256221.7–279.4 |
| 2094 | 284.6262.8–305.6 | 251.8221–280.3 |
| 2095 | 283.6262–304.6 | 255.6225.8–278.1 |
| 2096 | 284.9263.3–306.3 | 254.7225.8–280.4 |
| 2097 | 280261–300.5 | 253.2221.8–281.6 |
| 2098 | 282.5262–302.1 | 256.1225.2–279.6 |
| 2099 | 285.3266.2–305.4 | 254.9223.4–278.7 |
| 2100 | 283.6262.8–304.1 | 254.4226.1–279.1 |
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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
马里与莫桑比克对比
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军用
- 军费开支马里:2025 年为 GDP 的 3.87%莫桑比克:2025 年为 GDP 的 1.87%
- 军费开支(美元)马里:2025 年为 US$8.83亿莫桑比克:2025 年为 US$4.46亿
- 人均军费开支马里:2025 年为 US$38莫桑比克:2025 年为 US$13
- 军费占政府支出比例马里:2025 年为 14.8%(占政府支出)莫桑比克:2025 年为 6%(占政府支出)
- 武装部队人员马里:2020 年为 41,000 人莫桑比克:2020 年为 11,000 人
- 国家实力马里:2022 年为 0.1%(占全球实力)莫桑比克:2022 年为 0.13%(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)莫桑比克:2020 年为 0.08%(占劳动力)
- 武器进口马里:2025 年为 6400万 TIV莫桑比克:2025 年为 1400万 TIV