莫桑比克与卢旺达对比
莫桑比克与卢旺达:35 °C 以上天数
2014 年35 °C 以上天数:莫桑比克为 18.3 天,卢旺达为 0 天(CMIP6 气候模型中位数模拟)。 2014 年莫桑比克的数值较高,高出 18.3 天。
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,莫桑比克的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年莫桑比克为 59.1 天,卢旺达为 0 天。
逐年数据
每年天数 · CMIP6
| 年份 | 莫桑比克 | 卢旺达 |
|---|---|---|
| 2014 | 18.3 | 0 |
| 2013 | 21.1 | 0 |
| 2012 | 17.2 | 0 |
| 2011 | 16 | 0 |
| 2010 | 16.5 | 0 |
| 2009 | 15.9 | 0 |
| 2008 | 15.6 | 0 |
| 2007 | 17 | 0 |
| 2006 | 15.4 | 0 |
| 2005 | 15.7 | 0 |
| 2004 | 16 | 0 |
| 2003 | 17.9 | 0 |
| 2002 | 16.4 | 0 |
| 2001 | 16.6 | 0 |
| 2000 | 16 | 0 |
| 1999 | 13.9 | 0 |
| 1998 | 15.4 | 0 |
| 1997 | 14.2 | 0 |
| 1996 | 13.1 | 0 |
| 1995 | 12 | 0 |
| 1994 | 10.8 | 0 |
| 1993 | 8.9 | 0 |
| 1992 | 10 | 0 |
| 1991 | 11.8 | 0 |
| 1990 | 13.3 | 0 |
| 1989 | 13.8 | 0 |
| 1988 | 13.8 | 0 |
| 1987 | 12.7 | 0 |
| 1986 | 12.6 | 0 |
| 1985 | 10.4 | 0 |
| 1984 | 10.8 | 0 |
| 1983 | 10.8 | 0 |
| 1982 | 10.6 | 0 |
| 1981 | 11.9 | 0 |
| 1980 | 11 | 0 |
| 1979 | 11.4 | 0 |
| 1978 | 10 | 0 |
| 1977 | 11.3 | 0 |
| 1976 | 9.7 | 0 |
| 1975 | 12.1 | 0 |
| 1974 | 12.8 | 0 |
| 1973 | 11.1 | 0 |
| 1972 | 11.2 | 0 |
| 1971 | 10 | 0 |
| 1970 | 11.7 | 0 |
| 1969 | 12 | 0 |
| 1968 | 10.8 | 0 |
| 1967 | 8.8 | 0 |
| 1966 | 9.4 | 0 |
| 1965 | 10.7 | 0 |
| 1964 | 7.7 | 0 |
| 1963 | 9.3 | 0 |
| 1962 | 11.6 | 0 |
| 1961 | 11.6 | 0 |
| 1960 | 11.8 | 0 |
| 1959 | 12.2 | 0 |
| 1958 | 12.8 | 0 |
| 1957 | 11.2 | 0 |
| 1956 | 9.7 | 0 |
| 1955 | 12.5 | 0 |
| 1954 | 11.1 | 0 |
| 1953 | 10.3 | 0 |
| 1952 | 10.8 | 0 |
| 1951 | 9.9 | 0 |
| 1950 | 11.3 | 0 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 莫桑比克 | 卢旺达 |
|---|---|---|
| 2015 | 20.110–33.4 | 00–0 |
| 2016 | 199.5–34.6 | 00–0 |
| 2017 | 20.210.9–34.6 | 00–0 |
| 2018 | 20.99.6–35.4 | 00–0 |
| 2019 | 19.910.7–31.7 | 00–0 |
| 2020 | 22.211.7–37.3 | 00–0 |
| 2021 | 18.79.6–32.2 | 00–0 |
| 2022 | 2312.6–37.4 | 00–0 |
| 2023 | 24.111.6–39.7 | 00–0 |
| 2024 | 24.114–38.1 | 00–0 |
| 2025 | 227.9–40.6 | 00–0 |
| 2026 | 23.413–40.1 | 00–0 |
| 2027 | 26.213.1–49.9 | 00–0 |
| 2028 | 25.114.1–39.6 | 00–0 |
| 2029 | 27.512.3–45.4 | 00–0 |
| 2030 | 26.213.2–46 | 00–0 |
| 2031 | 2512.7–43.2 | 00–0 |
| 2032 | 26.515.1–40.9 | 00–0 |
| 2033 | 30.714–47.1 | 00–0 |
| 2034 | 29.516.2–48.3 | 00–0 |
| 2035 | 29.515.8–49.4 | 00–0 |
| 2036 | 26.814.3–45.4 | 00–0 |
| 2037 | 32.717.6–51.1 | 00–0 |
| 2038 | 34.318–53.5 | 00–0 |
| 2039 | 30.113.8–48.9 | 00–0 |
| 2040 | 27.915.4–47.9 | 00–0 |
| 2041 | 29.815.7–50.5 | 00–0 |
| 2042 | 33.418.1–50.1 | 00–0 |
| 2043 | 31.416.9–56.7 | 00–0 |
| 2044 | 3216–55.5 | 00–0 |
| 2045 | 31.718–46.1 | 00–0 |
| 2046 | 34.118.4–51.3 | 00–0 |
| 2047 | 36.621.6–59.3 | 00–0 |
| 2048 | 36.322.3–58.8 | 00–0 |
| 2049 | 3418.6–57.4 | 00–0 |
| 2050 | 40.221.9–63.3 | 00–0 |
| 2051 | 4123.5–69.6 | 00–0 |
| 2052 | 42.322.5–67 | 00–0 |
| 2053 | 38.816.6–62.1 | 00–0 |
| 2054 | 4321.5–71.6 | 00–0 |
| 2055 | 42.423.5–70.7 | 00–0 |
| 2056 | 40.619.9–69.6 | 00–0 |
| 2057 | 42.221.9–67.8 | 00–0 |
| 2058 | 42.123.8–68.3 | 00–0 |
| 2059 | 48.226.6–69 | 00–0 |
| 2060 | 43.822.1–68.9 | 00–0 |
| 2061 | 43.421.8–65.5 | 00–0 |
| 2062 | 43.223.3–72.1 | 00–0 |
| 2063 | 44.226.7–71.1 | 00–0 |
| 2064 | 43.325.1–66.1 | 00–0 |
| 2065 | 47.823.2–78.9 | 00–0 |
| 2066 | 46.724.4–77.2 | 00–0 |
| 2067 | 39.722.3–71.6 | 00–0 |
| 2068 | 46.923.9–80.2 | 00–0 |
| 2069 | 47.925.4–78.3 | 00–0 |
| 2070 | 43.424.1–73.6 | 00–0 |
| 2071 | 50.924–79.9 | 00–0 |
| 2072 | 52.526.1–78.8 | 00–0 |
| 2073 | 55.726.7–85.9 | 00–0 |
| 2074 | 48.227.5–82.4 | 00–0 |
| 2075 | 48.826.1–77.1 | 00–0 |
| 2076 | 48.425.3–80.7 | 00–0 |
| 2077 | 52.230.5–85.4 | 00–0 |
| 2078 | 51.326.3–81.4 | 00–0 |
| 2079 | 50.928.6–84.5 | 00–0 |
| 2080 | 55.329.2–86.1 | 00–0 |
| 2081 | 53.225–83.8 | 00–0 |
| 2082 | 48.228.9–82.3 | 00–0 |
| 2083 | 52.429.3–84.7 | 00–0 |
| 2084 | 53.729.4–80.2 | 00–0 |
| 2085 | 58.431.9–88.8 | 00–0 |
| 2086 | 51.229.5–81.6 | 00–0 |
| 2087 | 52.328.8–85.2 | 00–0 |
| 2088 | 59.226–92.2 | 00–0 |
| 2089 | 5531.8–84.3 | 00–0 |
| 2090 | 57.627.1–92.2 | 00–0 |
| 2091 | 59.926.4–92.9 | 00–0 |
| 2092 | 59.230.5–94.8 | 00–0 |
| 2093 | 55.726.5–95.5 | 00–0 |
| 2094 | 60.327.8–93.8 | 00–0 |
| 2095 | 60.931.9–87.9 | 00–0.1 |
| 2096 | 58.929.2–95.6 | 00–0 |
| 2097 | 52.827.2–87.8 | 00–0 |
| 2098 | 5930.9–94.6 | 00–0 |
| 2099 | 60.330.9–92.3 | 00–0 |
| 2100 | 59.132.4–93.7 | 00–0 |
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
莫桑比克与卢旺达对比
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军用
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- 人均军费开支莫桑比克:2025 年为 US$13卢旺达:2025 年为 US$13
- 军费占政府支出比例莫桑比克:2025 年为 6%(占政府支出)卢旺达:2025 年为 4.7%(占政府支出)
- 武装部队人员莫桑比克:2020 年为 11,000 人卢旺达:2020 年为 35,000 人
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- 武装部队占劳动力比例莫桑比克:2020 年为 0.08%(占劳动力)卢旺达:2020 年为 0.7%(占劳动力)
- 武器进口莫桑比克:2025 年为 1400万 TIV卢旺达:2023 年为 3700万 TIV