孟加拉国与南非对比
孟加拉国与南非:35 °C 以上天数
2014 年35 °C 以上天数:孟加拉国为 19.4 天,南非为 13.2 天(CMIP6 气候模型中位数模拟)。 2014 年孟加拉国的数值较高,高出 6.2 天,是南非的 1.47 倍。
每年天数 · CMIP6
数据解读
- 自 2014 年超过南非以来,孟加拉国的数值一直更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年孟加拉国为 56.8 天,南非为 40 天。
逐年数据
每年天数 · CMIP6
| 年份 | 孟加拉国 | 南非 |
|---|---|---|
| 2014 | 19.4 | 13.2 |
| 2013 | 14.1 | 15.2 |
| 2012 | 17 | 14.3 |
| 2011 | 13.4 | 11.7 |
| 2010 | 16.9 | 12.5 |
| 2009 | 14.4 | 13.2 |
| 2008 | 14 | 12.3 |
| 2007 | 14.3 | 12 |
| 2006 | 17.8 | 11.9 |
| 2005 | 16.1 | 13.3 |
| 2004 | 14.7 | 13.9 |
| 2003 | 15.9 | 12.6 |
| 2002 | 17.7 | 12.6 |
| 2001 | 16.9 | 11.1 |
| 2000 | 16.6 | 11.8 |
| 1999 | 15.6 | 11 |
| 1998 | 15.4 | 12.1 |
| 1997 | 16.8 | 11.3 |
| 1996 | 14.2 | 9.4 |
| 1995 | 13.2 | 8.3 |
| 1994 | 15.2 | 8.5 |
| 1993 | 12.4 | 7.8 |
| 1992 | 8 | 7.1 |
| 1991 | 18.8 | 11.1 |
| 1990 | 18.5 | 10.1 |
| 1989 | 13.7 | 11.5 |
| 1988 | 13.5 | 9.4 |
| 1987 | 17.9 | 11.5 |
| 1986 | 17.9 | 10.2 |
| 1985 | 14.4 | 8.7 |
| 1984 | 19 | 8.7 |
| 1983 | 14.6 | 8.6 |
| 1982 | 16.3 | 10.5 |
| 1981 | 15.4 | 9.7 |
| 1980 | 14.5 | 10.3 |
| 1979 | 16.7 | 9.4 |
| 1978 | 15 | 9.5 |
| 1977 | 14.1 | 9.3 |
| 1976 | 17.5 | 9 |
| 1975 | 14.4 | 9.3 |
| 1974 | 17.3 | 8.8 |
| 1973 | 17 | 9.5 |
| 1972 | 15.7 | 8.4 |
| 1971 | 16.9 | 8.7 |
| 1970 | 16.5 | 8.2 |
| 1969 | 15.5 | 8.9 |
| 1968 | 16.2 | 8.4 |
| 1967 | 13.5 | 6.9 |
| 1966 | 15.6 | 7.8 |
| 1965 | 15.4 | 7.9 |
| 1964 | 14.7 | 6.4 |
| 1963 | 16.1 | 7 |
| 1962 | 19.1 | 8.9 |
| 1961 | 18 | 10.5 |
| 1960 | 19.2 | 9.7 |
| 1959 | 18 | 8.9 |
| 1958 | 17.5 | 9.3 |
| 1957 | 18.1 | 10.3 |
| 1956 | 19.2 | 7.9 |
| 1955 | 16.9 | 10.3 |
| 1954 | 19.4 | 9.1 |
| 1953 | 21 | 7.8 |
| 1952 | 17.2 | 9 |
| 1951 | 19.9 | 8.4 |
| 1950 | 22.3 | 8.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 孟加拉国 | 南非 |
|---|---|---|
| 2015 | 17.85.5–30.2 | 14.76.8–24 |
| 2016 | 17.53.9–31.5 | 13.46.3–22.2 |
| 2017 | 14.14.8–29 | 15.27.7–24.6 |
| 2018 | 13.92–31 | 179.7–28 |
| 2019 | 14.93.9–28 | 14.67.1–24.5 |
| 2020 | 14.94.1–36.3 | 15.77.4–23.5 |
| 2021 | 17.25.6–33 | 17.99.4–27 |
| 2022 | 17.21.4–36.6 | 189.8–29 |
| 2023 | 18.16.6–32.2 | 18.69.9–27.1 |
| 2024 | 21.24.9–36.6 | 17.89.8–28 |
| 2025 | 16.73.9–36.8 | 16.57.5–29.6 |
| 2026 | 18.36.7–34 | 20.19.3–29.4 |
| 2027 | 18.33.5–38.2 | 19.910.5–32.8 |
| 2028 | 18.64.2–33.2 | 19.110.6–33.2 |
| 2029 | 18.22.2–34.9 | 21.412.9–33.6 |
| 2030 | 174.6–31.3 | 21.19.6–33.9 |
| 2031 | 153.9–32.1 | 20.79.9–35.4 |
| 2032 | 19.33.2–34.3 | 2110.9–34.8 |
| 2033 | 17.53.9–32 | 22.612.2–34.2 |
| 2034 | 16.24–29.3 | 24.615–35.1 |
| 2035 | 16.26.6–31.6 | 20.911.7–31.3 |
| 2036 | 17.76.3–36.6 | 21.111.9–32.2 |
| 2037 | 20.65.7–39.1 | 23.412.6–35.2 |
| 2038 | 21.96.6–38.5 | 26.216–36.7 |
| 2039 | 21.45.1–43.2 | 22.611.4–35.9 |
| 2040 | 22.86–48.8 | 21.510.9–35.4 |
| 2041 | 19.44.7–44.5 | 23.213.2–35.8 |
| 2042 | 22.86.3–50.6 | 25.214.3–39.6 |
| 2043 | 25.17.2–47 | 25.613.4–39.9 |
| 2044 | 24.77.9–45 | 26.113.1–41.6 |
| 2045 | 24.110–42.5 | 26.813.1–40.3 |
| 2046 | 28.57.8–55.7 | 25.914.5–40.8 |
| 2047 | 26.47.4–50.6 | 26.713.7–41.4 |
| 2048 | 30.28–52.9 | 29.215.6–45.4 |
| 2049 | 29.511.3–54.1 | 29.117.3–44.7 |
| 2050 | 26.810.4–47.8 | 29.815.7–48.6 |
| 2051 | 32.713.4–54.3 | 27.913.6–45.2 |
| 2052 | 29.313–59.8 | 31.918.3–46.8 |
| 2053 | 26.79.4–54.9 | 28.318.6–43.2 |
| 2054 | 29.910.9–57.7 | 30.717.3–50.1 |
| 2055 | 34.613.5–60.8 | 2917.8–48 |
| 2056 | 34.215.2–59 | 29.916–45.3 |
| 2057 | 3912.3–72.8 | 3117.4–50.1 |
| 2058 | 38.917–69.9 | 31.115.7–46 |
| 2059 | 35.914.6–66 | 3216.1–49.9 |
| 2060 | 36.818.6–65.3 | 33.419.8–49.7 |
| 2061 | 38.919.6–65.9 | 32.718.1–51.1 |
| 2062 | 35.115.8–63.8 | 31.317.7–52.6 |
| 2063 | 42.114.5–66.9 | 32.317.4–50.7 |
| 2064 | 37.317–62.7 | 31.817.7–47.6 |
| 2065 | 35.618.5–60.2 | 31.716.2–50.7 |
| 2066 | 35.812.3–64.7 | 34.318.4–55.3 |
| 2067 | 32.612.9–61.8 | 32.617.2–52.4 |
| 2068 | 40.717.5–76.4 | 33.819.2–54.3 |
| 2069 | 43.915.7–73.3 | 34.621.3–52.4 |
| 2070 | 33.714.7–63 | 32.819.3–51.1 |
| 2071 | 42.817.7–73.9 | 35.320.8–55.8 |
| 2072 | 42.718.2–68.1 | 37.820.3–54.6 |
| 2073 | 44.423.8–82.3 | 4425.6–62.1 |
| 2074 | 4214.1–71.6 | 38.320.7–55.8 |
| 2075 | 41.515.2–70.1 | 34.218.7–53.1 |
| 2076 | 39.914.1–81.2 | 38.822.9–57.5 |
| 2077 | 42.723.6–83.6 | 39.124.2–60.3 |
| 2078 | 44.424.7–79.2 | 35.521.6–53.4 |
| 2079 | 43.923.1–74.7 | 40.522.9–59.7 |
| 2080 | 52.224.5–83 | 40.523.4–59 |
| 2081 | 50.628.6–83 | 38.523.8–59.9 |
| 2082 | 49.322.9–92.1 | 38.622.5–58.2 |
| 2083 | 49.218.9–88.7 | 38.518.7–62.9 |
| 2084 | 50.421.6–92.6 | 39.720.6–58.4 |
| 2085 | 49.920.5–104.5 | 4021.5–65.8 |
| 2086 | 50.922.5–100.6 | 40.823–63.7 |
| 2087 | 53.125–82.1 | 38.324.6–58.6 |
| 2088 | 46.314.7–108.4 | 42.222.6–66.3 |
| 2089 | 52.722.8–107.6 | 41.624.2–59.1 |
| 2090 | 55.216.3–89.2 | 42.326.1–66.4 |
| 2091 | 51.331.2–98 | 43.324.2–63.6 |
| 2092 | 55.422.1–101.2 | 43.928–61.6 |
| 2093 | 47.718.8–94.6 | 37.521.3–63.4 |
| 2094 | 51.225.3–87.3 | 41.325.4–65.9 |
| 2095 | 57.624.4–95.1 | 43.522.9–70.2 |
| 2096 | 50.820–91.8 | 41.224.1–66.8 |
| 2097 | 48.923.7–96 | 37.723.7–60.9 |
| 2098 | 52.926.4–94.7 | 46.425.1–71.4 |
| 2099 | 48.722.9–82 | 42.525.1–64.8 |
| 2100 | 56.822.9–95.8 | 4022.2–64.5 |
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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
孟加拉国与南非对比
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军用
- 军费开支孟加拉国:2025 年为 GDP 的 0.81%南非:2025 年为 GDP 的 0.74%
- 军费开支(美元)孟加拉国:2025 年为 US$36.7亿南非:2025 年为 US$30亿
- 人均军费开支孟加拉国:2025 年为 US$22南非:2025 年为 US$49
- 军费占政府支出比例孟加拉国:2025 年为 7.1%(占政府支出)南非:2025 年为 2.2%(占政府支出)
- 武装部队人员孟加拉国:2020 年为 227,000 人南非:2020 年为 89,000 人
- 国家实力孟加拉国:2022 年为 1.01%(占全球实力)南非:2022 年为 0.55%(占全球实力)
- 武装部队占劳动力比例孟加拉国:2020 年为 0.32%(占劳动力)南非:2020 年为 0.4%(占劳动力)
- 武器进口孟加拉国:2025 年为 3200万 TIV南非:2025 年为 3000万 TIV
- 武器出口孟加拉国:1984 年为 200万 TIV南非:2025 年为 1.15亿 TIV