缅甸与苏丹对比
缅甸与苏丹:35 °C 以上天数
2014 年35 °C 以上天数:缅甸为 28.8 天,苏丹为 184 天(CMIP6 气候模型中位数模拟)。 2014 年苏丹的数值较高,高出 155.2 天,是缅甸的 6.39 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,苏丹的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年缅甸为 57 天,苏丹为 230.7 天。
逐年数据
每年天数 · CMIP6
| 年份 | 缅甸 | 苏丹 |
|---|---|---|
| 2014 | 28.8 | 184 |
| 2013 | 28 | 179.8 |
| 2012 | 27.5 | 180.9 |
| 2011 | 27.4 | 183.5 |
| 2010 | 27.9 | 181.3 |
| 2009 | 27.3 | 175.7 |
| 2008 | 27.2 | 173.9 |
| 2007 | 25.4 | 171.9 |
| 2006 | 26.8 | 171.2 |
| 2005 | 25 | 169.5 |
| 2004 | 28.3 | 171.6 |
| 2003 | 26.4 | 172.7 |
| 2002 | 27.4 | 173.6 |
| 2001 | 28.4 | 177.8 |
| 2000 | 26.6 | 170.3 |
| 1999 | 26.1 | 170.7 |
| 1998 | 26.4 | 166 |
| 1997 | 26.2 | 169.3 |
| 1996 | 24.7 | 165.5 |
| 1995 | 25.5 | 165.1 |
| 1994 | 24.3 | 162.2 |
| 1993 | 23.9 | 154.5 |
| 1992 | 20.5 | 154.3 |
| 1991 | 28.4 | 165.3 |
| 1990 | 26.3 | 166.6 |
| 1989 | 23.8 | 164.1 |
| 1988 | 23.9 | 164.2 |
| 1987 | 25.4 | 163.3 |
| 1986 | 26.6 | 166.1 |
| 1985 | 23.6 | 159.7 |
| 1984 | 25.8 | 158 |
| 1983 | 23.2 | 157 |
| 1982 | 24 | 155.1 |
| 1981 | 23.8 | 162.1 |
| 1980 | 23.5 | 161.1 |
| 1979 | 25.3 | 160.4 |
| 1978 | 23.4 | 155.5 |
| 1977 | 24.1 | 157.9 |
| 1976 | 25.6 | 157.3 |
| 1975 | 22.3 | 153.9 |
| 1974 | 24.1 | 155.3 |
| 1973 | 25.9 | 161.4 |
| 1972 | 23.1 | 156.2 |
| 1971 | 22.8 | 153.4 |
| 1970 | 24.2 | 156.8 |
| 1969 | 23.6 | 153.8 |
| 1968 | 23.4 | 154.6 |
| 1967 | 24.1 | 148.4 |
| 1966 | 23.1 | 153 |
| 1965 | 23.3 | 154.2 |
| 1964 | 21.7 | 148.7 |
| 1963 | 23.2 | 146.1 |
| 1962 | 24.4 | 155.9 |
| 1961 | 24.9 | 158.5 |
| 1960 | 26.2 | 161.3 |
| 1959 | 22.6 | 158.4 |
| 1958 | 25 | 156.7 |
| 1957 | 24.1 | 159.4 |
| 1956 | 25 | 157.7 |
| 1955 | 24.5 | 154.7 |
| 1954 | 25.3 | 158.7 |
| 1953 | 23.5 | 156.3 |
| 1952 | 26.1 | 156.1 |
| 1951 | 25 | 158.9 |
| 1950 | 23.8 | 155.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 缅甸 | 苏丹 |
|---|---|---|
| 2015 | 28.518.5–40 | 183.4158.5–201.6 |
| 2016 | 27.717.3–38.7 | 179.1156.3–200.8 |
| 2017 | 2818.9–38.5 | 184.1159.3–204.4 |
| 2018 | 29.818.6–41.2 | 178.9156–204.1 |
| 2019 | 28.218.2–41.3 | 181.9158.3–204.8 |
| 2020 | 28.616.8–41.4 | 182.3159.2–205.5 |
| 2021 | 29.719.4–40.8 | 183.1159.4–206.8 |
| 2022 | 31.521.7–42.7 | 187.9165.4–207.6 |
| 2023 | 30.319.9–41.6 | 185.3162.7–207.9 |
| 2024 | 31.720.1–43.7 | 192.2168–211.3 |
| 2025 | 32.721.3–44.8 | 188.6166.8–209.3 |
| 2026 | 30.420.3–44.5 | 188.5157.9–211.8 |
| 2027 | 30.620.4–44.2 | 189.2157–211.6 |
| 2028 | 31.119–43 | 189.6162.9–211.3 |
| 2029 | 32.720.9–46.4 | 190.4166.6–209.3 |
| 2030 | 32.619.3–45 | 191.6170.8–214.6 |
| 2031 | 32.721.3–45.2 | 192.2167.3–218 |
| 2032 | 32.119.6–45.4 | 191.2169.9–210.3 |
| 2033 | 33.322–43.8 | 195.3172.4–216.8 |
| 2034 | 31.322–43.5 | 197.1168.8–222.4 |
| 2035 | 32.620.4–49 | 196.4168.7–221.2 |
| 2036 | 33.322.7–46.1 | 191.3171.4–213.6 |
| 2037 | 34.322.6–49.1 | 198173.5–220.2 |
| 2038 | 35.824.4–49.9 | 200.4179.8–221.2 |
| 2039 | 34.920.9–49 | 199.5171.5–218.6 |
| 2040 | 3419.2–51.2 | 196.3172.7–217.9 |
| 2041 | 3724.8–51.9 | 202.2174.1–221.8 |
| 2042 | 36.223–49.9 | 201.6175.8–224.1 |
| 2043 | 34.522.6–47.7 | 198.7169.7–224.3 |
| 2044 | 38.222.1–51.2 | 198.3173.4–222.2 |
| 2045 | 35.924.2–50.7 | 203.4179.1–224.6 |
| 2046 | 38.425.2–57.1 | 210.2177.8–229.9 |
| 2047 | 38.824.1–56.1 | 206.2180.9–228.4 |
| 2048 | 40.323.4–58.7 | 204.6180–231.3 |
| 2049 | 40.625.2–58.1 | 204.3178.2–227.3 |
| 2050 | 40.226.5–55.3 | 205.3180.8–234.5 |
| 2051 | 41.726.7–56.8 | 206.2186–229.8 |
| 2052 | 40.326.3–61.2 | 209182–231.9 |
| 2053 | 41.323.6–61.5 | 208.7181.2–230.7 |
| 2054 | 42.426.8–60.9 | 211180.1–231.4 |
| 2055 | 41.428.5–61.9 | 212.3184–233.5 |
| 2056 | 42.726.5–63 | 208.5182.4–235.7 |
| 2057 | 43.226.3–63.2 | 213.2186.4–240.1 |
| 2058 | 44.526.8–63.6 | 213.4183–233.4 |
| 2059 | 43.729.1–65.3 | 214.6189.2–242.4 |
| 2060 | 47.428.3–66 | 213.7189.1–241.7 |
| 2061 | 46.729.5–64.5 | 214.5186.1–239.4 |
| 2062 | 47.126.7–68.6 | 214.4187–241.2 |
| 2063 | 46.929–66.4 | 212.5181.1–235.9 |
| 2064 | 47.527.9–66.1 | 214.9189.9–242.2 |
| 2065 | 42.427.5–62.4 | 217.2195.4–238.5 |
| 2066 | 46.228.9–68.8 | 217.1190.9–246.3 |
| 2067 | 4125.7–63.6 | 216.5188.1–243.9 |
| 2068 | 46.928–70.4 | 216.7193.9–247.6 |
| 2069 | 48.729.3–70.1 | 216.1187.6–243.2 |
| 2070 | 43.927.5–64.3 | 219.4189.5–241.3 |
| 2071 | 4926.2–71.9 | 224.1190.5–247.8 |
| 2072 | 4730.6–71.4 | 222.3196.2–245.1 |
| 2073 | 50.732.2–74 | 221.8196.1–246.8 |
| 2074 | 4829.2–74 | 218.1183.5–249 |
| 2075 | 49.126.1–68.9 | 221.9188.6–243.6 |
| 2076 | 47.826.5–72.8 | 222.4196.4–250.8 |
| 2077 | 51.832.9–76.1 | 225.8194.6–252.8 |
| 2078 | 50.632.4–75.6 | 224.1196.8–250.7 |
| 2079 | 50.730.5–77 | 220.7194.1–245.3 |
| 2080 | 53.331.3–79.5 | 225.9191.3–250 |
| 2081 | 5235.5–79.1 | 225.1197.7–250.3 |
| 2082 | 52.532.5–76.8 | 222.6195.3–249.8 |
| 2083 | 51.730.5–79.6 | 228.1199.6–251.9 |
| 2084 | 52.329.5–76 | 224.5194.9–252.9 |
| 2085 | 51.232.9–79.4 | 226.3199.3–251.5 |
| 2086 | 52.632.5–80.1 | 225.2193.1–258.3 |
| 2087 | 51.732.6–77.9 | 222.9190.2–250.1 |
| 2088 | 50.727.2–88.8 | 220.4194.2–256.8 |
| 2089 | 52.731.4–86.3 | 227195.7–249.8 |
| 2090 | 54.231.1–80.1 | 229198.7–254.5 |
| 2091 | 53.235.4–80.1 | 227196.4–254.1 |
| 2092 | 54.135.4–85.5 | 227.2200.5–253.1 |
| 2093 | 5235.6–85 | 227.5203–252.1 |
| 2094 | 54.434.9–80.7 | 231.9201.3–256 |
| 2095 | 58.535.1–84.3 | 228.4202.1–255 |
| 2096 | 52.832.3–84.1 | 226.4198.4–255.9 |
| 2097 | 53.230.4–82.8 | 225.9196.5–255.7 |
| 2098 | 55.334.4–83.8 | 227.8194.4–253.4 |
| 2099 | 55.233.1–84.7 | 229.5200.7–257.4 |
| 2100 | 5734.6–84 | 230.7199.7–256.7 |
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
缅甸与苏丹对比
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军用
- 军费开支缅甸:2024 年为 GDP 的 6.61%苏丹:2021 年为 GDP 的 0.93%
- 军费开支(美元)缅甸:2024 年为 US$46.5亿苏丹:2021 年为 US$27.7亿
- 人均军费开支缅甸:2024 年为 US$92苏丹:2021 年为 US$8
- 军费占政府支出比例缅甸:2024 年为 32%(占政府支出)苏丹:2021 年为 9.5%(占政府支出)
- 武装部队人员缅甸:2020 年为 463,000 人苏丹:2020 年为 144,000 人
- 国家实力缅甸:2022 年为 0.53%(占全球实力)苏丹:2022 年为 0.37%(占全球实力)
- 武装部队占劳动力比例缅甸:2020 年为 1.94%(占劳动力)苏丹:2020 年为 1.34%(占劳动力)
- 武器进口缅甸:2025 年为 7000万 TIV苏丹:2025 年为 5700万 TIV