巴西与肯尼亚对比
巴西与肯尼亚:35 °C 以上天数
2014 年35 °C 以上天数:巴西为 18.8 天,肯尼亚为 48.1 天(CMIP6 气候模型中位数模拟)。 2014 年肯尼亚的数值较高,高出 29.3 天,是巴西的 2.55 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,肯尼亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年巴西为 80.8 天,肯尼亚为 103.7 天。
逐年数据
每年天数 · CMIP6
| 年份 | 巴西 | 肯尼亚 |
|---|---|---|
| 2014 | 18.8 | 48.1 |
| 2013 | 21.8 | 46.4 |
| 2012 | 19.5 | 45.5 |
| 2011 | 19.6 | 46.4 |
| 2010 | 15.4 | 45.5 |
| 2009 | 16.6 | 40.9 |
| 2008 | 14.6 | 40.8 |
| 2007 | 11.6 | 39.2 |
| 2006 | 12 | 42 |
| 2005 | 14.2 | 42.9 |
| 2004 | 16.2 | 41.8 |
| 2003 | 15.5 | 41 |
| 2002 | 12.4 | 42.7 |
| 2001 | 16.1 | 43.4 |
| 2000 | 13.5 | 39.6 |
| 1999 | 11.4 | 40.9 |
| 1998 | 12.8 | 39.7 |
| 1997 | 11.7 | 38.8 |
| 1996 | 10 | 35.3 |
| 1995 | 8.8 | 34.3 |
| 1994 | 9.1 | 32.9 |
| 1993 | 7.8 | 28.5 |
| 1992 | 5.6 | 28.2 |
| 1991 | 8.5 | 35.1 |
| 1990 | 13.3 | 34.1 |
| 1989 | 10.2 | 34.5 |
| 1988 | 9.7 | 33.9 |
| 1987 | 9.4 | 35.9 |
| 1986 | 9.9 | 35.5 |
| 1985 | 7.5 | 31.2 |
| 1984 | 7 | 31 |
| 1983 | 6.4 | 30.2 |
| 1982 | 8.5 | 33.9 |
| 1981 | 9.4 | 34.6 |
| 1980 | 8.1 | 36.4 |
| 1979 | 9.1 | 34.4 |
| 1978 | 9 | 31.8 |
| 1977 | 8 | 30.5 |
| 1976 | 6.9 | 28.6 |
| 1975 | 6.8 | 29.7 |
| 1974 | 7.1 | 30.4 |
| 1973 | 7.3 | 29.1 |
| 1972 | 7 | 28.4 |
| 1971 | 5.8 | 28.1 |
| 1970 | 6.7 | 27 |
| 1969 | 6.9 | 29 |
| 1968 | 6.4 | 25.7 |
| 1967 | 6.4 | 26.9 |
| 1966 | 6.4 | 25.8 |
| 1965 | 6 | 24.4 |
| 1964 | 5.9 | 20.8 |
| 1963 | 4.9 | 25.7 |
| 1962 | 7.2 | 28.8 |
| 1961 | 7.5 | 30.9 |
| 1960 | 7.8 | 29.5 |
| 1959 | 7.5 | 30.4 |
| 1958 | 7.9 | 28 |
| 1957 | 8 | 30.7 |
| 1956 | 6.9 | 28.9 |
| 1955 | 8.6 | 30.2 |
| 1954 | 8.3 | 30 |
| 1953 | 6.8 | 31 |
| 1952 | 7.2 | 29.8 |
| 1951 | 7.2 | 30.1 |
| 1950 | 7.7 | 30.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 巴西 | 肯尼亚 |
|---|---|---|
| 2015 | 18.56.9–38.8 | 50.131.1–66.1 |
| 2016 | 18.57–35.9 | 49.230.5–67.3 |
| 2017 | 19.47.7–41.4 | 50.228.4–68.7 |
| 2018 | 19.87.6–41.4 | 5033.4–67.3 |
| 2019 | 218.9–47.1 | 49.431.2–67.4 |
| 2020 | 21.98.7–43.2 | 53.533.4–75.7 |
| 2021 | 24.69.7–51.8 | 52.434.3–69.5 |
| 2022 | 23.410–51.2 | 51.825–70.5 |
| 2023 | 25.710.5–55.5 | 55.535.3–80 |
| 2024 | 27.713.3–51.1 | 60.738.5–78.7 |
| 2025 | 27.210.5–57.6 | 55.236.8–74.4 |
| 2026 | 24.48.1–53.1 | 55.435.2–86.2 |
| 2027 | 28.28.9–55.7 | 5634.2–77.5 |
| 2028 | 29.411.9–61.9 | 56.731.5–80.6 |
| 2029 | 33.916.4–66.7 | 59.535.1–79.7 |
| 2030 | 28.211.6–56.6 | 57.940.5–79.9 |
| 2031 | 35.315.2–70.7 | 64.244.3–83.9 |
| 2032 | 35.616.6–67.3 | 58.839.6–81.3 |
| 2033 | 3113.5–63.2 | 63.639.2–87.1 |
| 2034 | 31.214.1–75.1 | 62.339.2–84.6 |
| 2035 | 30.814.4–68 | 61.636.8–84.1 |
| 2036 | 32.413.7–58.7 | 59.840.3–84.7 |
| 2037 | 39.419.6–66.5 | 63.740.4–91.7 |
| 2038 | 38.215.4–71.3 | 63.235.1–89.5 |
| 2039 | 37.214.6–75.5 | 65.540.6–88.4 |
| 2040 | 38.518.6–76.2 | 64.144.3–84.7 |
| 2041 | 41.819.9–76.6 | 69.847.4–98.8 |
| 2042 | 39.917–86.1 | 71.147–95.3 |
| 2043 | 37.614.9–81.2 | 66.640.7–91.1 |
| 2044 | 38.416.1–84.4 | 69.243–91.5 |
| 2045 | 40.420.4–74.9 | 7049.2–100.3 |
| 2046 | 5023.7–86.7 | 76.643.2–107.2 |
| 2047 | 43.522.9–86.4 | 74.249.2–103.8 |
| 2048 | 50.424.6–96.2 | 72.847.4–102.8 |
| 2049 | 49.823.9–90.2 | 78.548.6–107.8 |
| 2050 | 46.922–92.7 | 7250–107.2 |
| 2051 | 47.324.9–95.6 | 79.352.5–111 |
| 2052 | 54.728.7–97.5 | 79.550.7–104.4 |
| 2053 | 47.122.6–92.3 | 72.944.3–104.5 |
| 2054 | 45.221.6–92.2 | 73.142.1–99.6 |
| 2055 | 52.228.6–103.8 | 80.450.6–105.6 |
| 2056 | 53.223.6–110.8 | 76.247–111.2 |
| 2057 | 50.620.2–94.7 | 81.352.9–109.1 |
| 2058 | 55.325–117.3 | 78.950–112.4 |
| 2059 | 61.229–118.5 | 83.351.3–115.7 |
| 2060 | 6531.1–111.3 | 85.749.3–116.5 |
| 2061 | 54.123.5–115.4 | 85.354.7–115.1 |
| 2062 | 54.924.7–127.7 | 85.355.1–116.5 |
| 2063 | 59.428.6–112.9 | 84.254.2–110.1 |
| 2064 | 54.828.7–106.1 | 87.448.2–113.7 |
| 2065 | 62.330.3–119.5 | 86.855.1–123.7 |
| 2066 | 62.330.6–113.5 | 83.857–115 |
| 2067 | 60.926.9–113.1 | 8955.6–119.5 |
| 2068 | 66.730.1–119.7 | 87.751.4–117.1 |
| 2069 | 60.631.5–113.8 | 8653.8–118.3 |
| 2070 | 59.932.1–124.8 | 86.150.8–121 |
| 2071 | 64.433.8–111 | 91.757.9–123.6 |
| 2072 | 6830.5–128.1 | 91.461.3–123.1 |
| 2073 | 72.736–127.6 | 91.458.5–127.3 |
| 2074 | 68.832.6–125.7 | 87.855.2–124.3 |
| 2075 | 67.832.7–116.4 | 89.853.7–127.4 |
| 2076 | 67.933.7–124.9 | 97.664.7–134.6 |
| 2077 | 72.535.5–128.9 | 97.755.7–131.4 |
| 2078 | 7336.7–132 | 90.260.9–124.7 |
| 2079 | 69.233.6–125.5 | 9463.2–125.8 |
| 2080 | 67.834.9–122.2 | 96.157.8–132.4 |
| 2081 | 70.936.9–140.4 | 99.766.8–136.7 |
| 2082 | 70.640.7–125.8 | 99.458.5–131.7 |
| 2083 | 75.735.7–152.5 | 100.263.9–137.5 |
| 2084 | 7734.1–140.3 | 9967.9–133.8 |
| 2085 | 83.937.2–147.8 | 99.259.2–137.4 |
| 2086 | 73.334.6–141 | 104.457.4–142.5 |
| 2087 | 78.439.2–144.2 | 99.762.4–134.4 |
| 2088 | 79.335.1–152 | 98.761–135.2 |
| 2089 | 75.239–146.4 | 97.966–126.9 |
| 2090 | 78.341.8–148.6 | 101.468.5–136 |
| 2091 | 8135.2–147.9 | 104.465.5–141.4 |
| 2092 | 7936.6–148 | 99.759.8–137.8 |
| 2093 | 7739.3–148.7 | 105.971.9–140.7 |
| 2094 | 7939.6–144.5 | 107.369.1–137.3 |
| 2095 | 88.636.5–155.9 | 106.367.5–142.4 |
| 2096 | 75.736.1–152.8 | 105.461.5–142.2 |
| 2097 | 7936.7–135.6 | 105.161.4–139.2 |
| 2098 | 82.737.9–166.4 | 104.861.9–140.8 |
| 2099 | 77.941–144.7 | 103.362.5–145.4 |
| 2100 | 80.840.2–141.3 | 103.757.3–139.4 |
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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
巴西与肯尼亚对比
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军用
- 军费开支巴西:2025 年为 GDP 的 1.05%肯尼亚:2025 年为 GDP 的 1.07%
- 军费开支(美元)巴西:2025 年为 US$236亿肯尼亚:2025 年为 US$13.6亿
- 人均军费开支巴西:2025 年为 US$113肯尼亚:2025 年为 US$26
- 军费占政府支出比例巴西:2025 年为 2.2%(占政府支出)肯尼亚:2025 年为 4.6%(占政府支出)
- 武装部队人员巴西:2020 年为 762,000 人肯尼亚:2020 年为 24,000 人
- 国家实力巴西:2022 年为 2.01%(占全球实力)肯尼亚:2022 年为 0.23%(占全球实力)
- 武装部队占劳动力比例巴西:2020 年为 0.76%(占劳动力)肯尼亚:2020 年为 0.11%(占劳动力)
- 武器进口巴西:2025 年为 4.62亿 TIV肯尼亚:2025 年为 1.17亿 TIV
- 武器出口巴西:2025 年为 1.53亿 TIV肯尼亚:1993 年为 200万 TIV