博茨瓦纳与津巴布韦对比
博茨瓦纳与津巴布韦:35 °C 以上天数
2014 年35 °C 以上天数:博茨瓦纳为 38.3 天,津巴布韦为 15.9 天(CMIP6 气候模型中位数模拟)。 2014 年博茨瓦纳的数值较高,高出 22.4 天,是津巴布韦的 2.41 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,博茨瓦纳的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年博茨瓦纳为 107 天,津巴布韦为 58.2 天。
逐年数据
每年天数 · CMIP6
| 年份 | 博茨瓦纳 | 津巴布韦 |
|---|---|---|
| 2014 | 38.3 | 15.9 |
| 2013 | 43.5 | 17.1 |
| 2012 | 39.8 | 15.7 |
| 2011 | 35.4 | 12.5 |
| 2010 | 37.7 | 15.3 |
| 2009 | 35.5 | 13 |
| 2008 | 32.7 | 13.5 |
| 2007 | 33.9 | 14.3 |
| 2006 | 33.7 | 12.9 |
| 2005 | 39.5 | 14.6 |
| 2004 | 41.6 | 16.2 |
| 2003 | 38 | 15.4 |
| 2002 | 37.8 | 14.9 |
| 2001 | 34.5 | 14.6 |
| 2000 | 35.3 | 15.1 |
| 1999 | 32 | 12.5 |
| 1998 | 36.4 | 13.2 |
| 1997 | 32.1 | 12 |
| 1996 | 23.6 | 9.7 |
| 1995 | 25.4 | 10.5 |
| 1994 | 23.2 | 9.8 |
| 1993 | 22.1 | 7.4 |
| 1992 | 20.2 | 7.9 |
| 1991 | 28.1 | 8.9 |
| 1990 | 29.7 | 10.9 |
| 1989 | 31.5 | 12.1 |
| 1988 | 25.7 | 11.6 |
| 1987 | 31.5 | 10.5 |
| 1986 | 29.4 | 10.4 |
| 1985 | 23.5 | 8.9 |
| 1984 | 23 | 8.9 |
| 1983 | 25 | 9 |
| 1982 | 27.3 | 9.2 |
| 1981 | 25.4 | 9.7 |
| 1980 | 28.6 | 10 |
| 1979 | 23.2 | 9.3 |
| 1978 | 23.4 | 8 |
| 1977 | 22.9 | 9.4 |
| 1976 | 21.7 | 7.4 |
| 1975 | 25.2 | 10 |
| 1974 | 24.5 | 11 |
| 1973 | 26.8 | 10 |
| 1972 | 21.5 | 8.2 |
| 1971 | 22.4 | 8.4 |
| 1970 | 21.6 | 9.1 |
| 1969 | 24.8 | 9.3 |
| 1968 | 20.9 | 8.6 |
| 1967 | 19.9 | 7.4 |
| 1966 | 21.4 | 7.5 |
| 1965 | 22.5 | 8.4 |
| 1964 | 16.8 | 6.2 |
| 1963 | 16 | 6.3 |
| 1962 | 24.3 | 9.1 |
| 1961 | 24.7 | 8.8 |
| 1960 | 25.5 | 9 |
| 1959 | 25.4 | 9.6 |
| 1958 | 23.9 | 10.2 |
| 1957 | 30.9 | 9.9 |
| 1956 | 18.4 | 7.9 |
| 1955 | 27.8 | 11.2 |
| 1954 | 21 | 8.8 |
| 1953 | 22.1 | 8.6 |
| 1952 | 24 | 9.4 |
| 1951 | 23.1 | 8.3 |
| 1950 | 23.2 | 9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 博茨瓦纳 | 津巴布韦 |
|---|---|---|
| 2015 | 45.924–68.9 | 17.19.2–27.4 |
| 2016 | 4123.2–62.5 | 17.37.9–31.7 |
| 2017 | 44.724.9–70.5 | 189–29.3 |
| 2018 | 52.728.5–77.2 | 18.78.6–33.5 |
| 2019 | 46.419.4–67.1 | 18.48.7–28.5 |
| 2020 | 50.427.7–79.8 | 2211.6–34.5 |
| 2021 | 52.332.1–73.8 | 17.48.9–31.5 |
| 2022 | 53.732.7–85.6 | 22.111.3–34.2 |
| 2023 | 59.837.2–79.7 | 23.914.6–37.2 |
| 2024 | 5234–77.8 | 22.712.2–35.4 |
| 2025 | 50.323.2–78.4 | 19.47.7–35.5 |
| 2026 | 61.738.6–83.7 | 23.213.8–35.1 |
| 2027 | 63.734.1–91.1 | 24.313.2–47.8 |
| 2028 | 58.733.2–96.6 | 23.213.4–42.3 |
| 2029 | 62.839.4–91.1 | 26.913.5–41.7 |
| 2030 | 62.236.5–92.7 | 24.713.5–44.4 |
| 2031 | 61.830.3–98.4 | 21.710.1–43.4 |
| 2032 | 65.539.2–93.7 | 23.913.4–37.9 |
| 2033 | 71.141–96.9 | 28.314.5–44.9 |
| 2034 | 74.245–109.7 | 30.915.4–52.5 |
| 2035 | 6038.6–90.8 | 2714.6–44 |
| 2036 | 60.736.2–92.9 | 25.613–44.1 |
| 2037 | 66.238.6–102.1 | 29.415.2–46.3 |
| 2038 | 73.148–103.5 | 3316.3–54 |
| 2039 | 6435.9–94.7 | 26.413.6–43.8 |
| 2040 | 64.435–89.6 | 2414.1–43.5 |
| 2041 | 73.148.6–98.8 | 29.216.6–45.4 |
| 2042 | 73.648.3–113.2 | 30.917.6–52.3 |
| 2043 | 74.345.6–103.3 | 32.416–51.2 |
| 2044 | 76.745.1–108.6 | 30.117.1–50.7 |
| 2045 | 74.637.7–109.7 | 29.414.1–46.6 |
| 2046 | 78.747.2–107.7 | 3318.1–50.4 |
| 2047 | 77.744.6–112.8 | 32.717.6–52.7 |
| 2048 | 83.447.8–117 | 35.519.2–56.3 |
| 2049 | 85.652.7–116.3 | 34.619.8–57.8 |
| 2050 | 86.244.6–124.2 | 38.920–58.3 |
| 2051 | 79.243.5–118.7 | 37.319.7–65.6 |
| 2052 | 92.152.6–124.2 | 42.321.3–67.1 |
| 2053 | 77.553.5–122.7 | 35.519.9–56.4 |
| 2054 | 93.451.2–148.9 | 43.823–73.8 |
| 2055 | 82.354–132.3 | 40.622.1–66.4 |
| 2056 | 84.144.4–119.8 | 37.819.9–64.7 |
| 2057 | 89.554.8–133.7 | 36.319.8–63.3 |
| 2058 | 83.352.7–116.4 | 38.519.1–60.6 |
| 2059 | 101.550–136.6 | 46.824.8–70.1 |
| 2060 | 90.357.1–138.5 | 42.620.1–66.8 |
| 2061 | 95.750.4–132.2 | 42.920.8–66.2 |
| 2062 | 88.757.6–129.2 | 39.224.1–65.6 |
| 2063 | 86.255.7–130.4 | 40.424.4–62.1 |
| 2064 | 89.157.6–122.2 | 4122.2–59.1 |
| 2065 | 87.557.1–144.9 | 4523.3–75.1 |
| 2066 | 95.560.4–137.4 | 42.423.1–67.5 |
| 2067 | 90.357.1–137 | 38.622.2–72.6 |
| 2068 | 90.857.9–129.5 | 42.622.4–65 |
| 2069 | 94.661.5–134 | 45.524.4–72.1 |
| 2070 | 87.755.2–137.4 | 4223.8–65.3 |
| 2071 | 91.767.1–138.2 | 43.622.9–68.4 |
| 2072 | 103.668.2–135.6 | 47.623.8–70.9 |
| 2073 | 11076.5–157.1 | 52.827.6–86.9 |
| 2074 | 100.662.1–158.4 | 49.329–82.9 |
| 2075 | 86.655.1–131.4 | 41.824.5–70.4 |
| 2076 | 104.962.2–146.8 | 44.125.3–76.6 |
| 2077 | 10171.7–142.1 | 47.728.3–86.8 |
| 2078 | 93.966.3–135.4 | 47.125–73.2 |
| 2079 | 110.862.4–149.3 | 48.326.6–83 |
| 2080 | 108.968–142.6 | 54.828.1–82.5 |
| 2081 | 101.972.7–148.8 | 49.525.8–88.8 |
| 2082 | 10573–146.7 | 46.129–81.5 |
| 2083 | 101.550.8–148.2 | 46.623.8–90.9 |
| 2084 | 104.161.3–141.6 | 52.128.9–75.3 |
| 2085 | 113.771.5–160.2 | 57.231.7–91.8 |
| 2086 | 106.476.7–149 | 49.230–75.3 |
| 2087 | 100.177.1–150 | 52.130.2–87.7 |
| 2088 | 112.767.9–156.2 | 58.629.2–86.4 |
| 2089 | 113.483.6–150.3 | 55.432–84.2 |
| 2090 | 112.882.1–155.1 | 54.730.4–83.6 |
| 2091 | 110.668.9–152.6 | 5226.4–87.2 |
| 2092 | 113.380.4–150.3 | 56.332.9–86.5 |
| 2093 | 106.170–147.3 | 53.624.6–86.7 |
| 2094 | 112.782.4–157.8 | 61.331.2–91.4 |
| 2095 | 120.373.8–163.6 | 56.329.4–87.6 |
| 2096 | 109.778.4–150.8 | 52.230.1–86.6 |
| 2097 | 100.370–148.5 | 48.627–81.7 |
| 2098 | 113.669.8–173 | 55.831.3–98.2 |
| 2099 | 109.570.6–170.3 | 54.931.1–96.5 |
| 2100 | 10768.3–145.6 | 58.229.4–85.2 |
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
博茨瓦纳与津巴布韦对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支博茨瓦纳:2025 年为 GDP 的 3.11%津巴布韦:2025 年为 GDP 的 0.56%
- 军费开支(美元)博茨瓦纳:2025 年为 US$5.95亿津巴布韦:2025 年为 US$1.34亿
- 人均军费开支博茨瓦纳:2025 年为 US$242津巴布韦:2025 年为 US$10
- 军费占政府支出比例博茨瓦纳:2025 年为 8.9%(占政府支出)津巴布韦:2005 年为 5.3%(占政府支出)
- 武装部队人员博茨瓦纳:2020 年为 9,000 人津巴布韦:2020 年为 51,000 人
- 国家实力博茨瓦纳:2022 年为 0.02%(占全球实力)津巴布韦:2022 年为 0.08%(占全球实力)
- 武装部队占劳动力比例博茨瓦纳:2020 年为 0.92%(占劳动力)津巴布韦:2020 年为 0.88%(占劳动力)
- 武器进口博茨瓦纳:2024 年为 1100万 TIV津巴布韦:2023 年为 2000万 TIV