缅甸与俄罗斯对比
缅甸与俄罗斯:热带夜
2014 年热带夜:缅甸为 201.9 夜,俄罗斯为 1.4 夜(CMIP6 气候模型中位数模拟)。 2014 年缅甸的数值较高,高出 200.5 夜,是俄罗斯的 150 倍。
每年夜数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,缅甸的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年缅甸为 244.5 夜,俄罗斯为 5.9 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 缅甸 | 俄罗斯 |
|---|---|---|
| 2014 | 201.9 | 1.4 |
| 2013 | 203.1 | 1.2 |
| 2012 | 201.1 | 1.1 |
| 2011 | 200.9 | 1.1 |
| 2010 | 202.1 | 1.2 |
| 2009 | 199 | 1 |
| 2008 | 198.1 | 1.1 |
| 2007 | 196.8 | 1 |
| 2006 | 198.2 | 1.1 |
| 2005 | 196.7 | 1.2 |
| 2004 | 200.3 | 1 |
| 2003 | 195.3 | 1 |
| 2002 | 196.6 | 0.9 |
| 2001 | 199 | 1 |
| 2000 | 197.2 | 0.9 |
| 1999 | 196.4 | 0.8 |
| 1998 | 194.7 | 0.8 |
| 1997 | 194.4 | 0.9 |
| 1996 | 191.4 | 0.7 |
| 1995 | 189.9 | 0.7 |
| 1994 | 188.8 | 0.6 |
| 1993 | 185 | 0.5 |
| 1992 | 180.5 | 0.4 |
| 1991 | 191.7 | 0.6 |
| 1990 | 191.5 | 0.6 |
| 1989 | 190.3 | 0.6 |
| 1988 | 190.7 | 0.5 |
| 1987 | 190.8 | 0.6 |
| 1986 | 189.7 | 0.6 |
| 1985 | 187.4 | 0.6 |
| 1984 | 189.1 | 0.4 |
| 1983 | 182.3 | 0.3 |
| 1982 | 186.7 | 0.5 |
| 1981 | 188.4 | 0.5 |
| 1980 | 189 | 0.5 |
| 1979 | 189.8 | 0.5 |
| 1978 | 186.8 | 0.5 |
| 1977 | 187.4 | 0.5 |
| 1976 | 185.8 | 0.5 |
| 1975 | 183.6 | 0.4 |
| 1974 | 185.5 | 0.5 |
| 1973 | 187.5 | 0.5 |
| 1972 | 184.8 | 0.4 |
| 1971 | 185.2 | 0.5 |
| 1970 | 184.9 | 0.4 |
| 1969 | 184.3 | 0.4 |
| 1968 | 183.7 | 0.6 |
| 1967 | 182.3 | 0.5 |
| 1966 | 186.2 | 0.4 |
| 1965 | 182.9 | 0.5 |
| 1964 | 180.6 | 0.4 |
| 1963 | 183.1 | 0.5 |
| 1962 | 187.3 | 0.4 |
| 1961 | 188.7 | 0.5 |
| 1960 | 187.1 | 0.5 |
| 1959 | 186.5 | 0.5 |
| 1958 | 187.1 | 0.5 |
| 1957 | 186.2 | 0.5 |
| 1956 | 187.9 | 0.5 |
| 1955 | 185.9 | 0.5 |
| 1954 | 185.7 | 0.5 |
| 1953 | 185 | 0.6 |
| 1952 | 186.1 | 0.5 |
| 1951 | 187.1 | 0.5 |
| 1950 | 186.9 | 0.5 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 缅甸 | 俄罗斯 |
|---|---|---|
| 2015 | 205.2186.4–218.9 | 1.60.6–3.9 |
| 2016 | 202.8186.2–218.8 | 1.30.6–3.5 |
| 2017 | 203.4187.3–218.3 | 1.40.5–3.6 |
| 2018 | 205.5190.9–219.9 | 1.70.6–4.1 |
| 2019 | 205.2186.7–222.2 | 1.50.7–3.9 |
| 2020 | 208.2188.5–223.5 | 1.50.7–3.6 |
| 2021 | 208.9191.2–224.1 | 1.40.6–3.6 |
| 2022 | 209.9192.7–224.9 | 1.80.6–4.4 |
| 2023 | 210.6195.4–226.3 | 1.80.6–4.5 |
| 2024 | 210.4193.8–226.6 | 1.70.7–4.1 |
| 2025 | 209.9190.3–225.2 | 20.7–5.2 |
| 2026 | 212.2194.3–229.2 | 1.70.7–4.4 |
| 2027 | 212195.6–228.6 | 1.90.8–4.7 |
| 2028 | 213195.7–227.2 | 1.70.8–4.4 |
| 2029 | 215.3193.9–231.9 | 20.9–5.3 |
| 2030 | 212.2194.9–228 | 1.80.6–4.8 |
| 2031 | 214.3197.2–230.8 | 2.11–5.1 |
| 2032 | 215199.3–229.6 | 2.20.9–5.8 |
| 2033 | 215.5198.5–230.1 | 2.11.1–5.4 |
| 2034 | 214.9198.4–233.5 | 1.90.8–4.9 |
| 2035 | 214.9199.2–236.8 | 2.21–5.8 |
| 2036 | 216198.7–234.5 | 2.41.1–5.9 |
| 2037 | 217.2199.6–233.5 | 2.31–6.1 |
| 2038 | 220.7204.8–235.1 | 2.51.1–5.8 |
| 2039 | 219.7202.4–234.3 | 2.71.2–6.8 |
| 2040 | 219.2202.9–235 | 2.50.9–5.8 |
| 2041 | 220.7203.9–237.7 | 2.61.1–6.6 |
| 2042 | 221.8206.1–237.2 | 2.61–6.8 |
| 2043 | 219.5201.2–237.1 | 2.81.4–7 |
| 2044 | 221.4201.6–239.6 | 2.81–7.5 |
| 2045 | 223.7204.8–241.5 | 2.61.1–7.1 |
| 2046 | 223.2203.2–240.2 | 2.81.1–7.5 |
| 2047 | 224.3204.8–241.1 | 2.91.1–8.3 |
| 2048 | 226.4207.7–243.8 | 3.41.1–7.9 |
| 2049 | 226.5205.6–242.8 | 3.21.4–8 |
| 2050 | 227209.3–243.5 | 3.51.3–8.2 |
| 2051 | 229.6212.4–246.4 | 3.41.3–8.9 |
| 2052 | 227.2208.6–244.2 | 31.2–8.1 |
| 2053 | 227.9208.7–247.7 | 3.11.3–7.5 |
| 2054 | 227.9209.6–244.8 | 3.21.1–7.7 |
| 2055 | 229.1209.8–247.5 | 3.31.2–9 |
| 2056 | 231.8210.4–252.1 | 3.51.3–8.8 |
| 2057 | 228.6208–249 | 3.71.5–9.1 |
| 2058 | 228.9208.8–249 | 3.61.5–10.2 |
| 2059 | 230.7212.1–247.5 | 3.81.5–9.3 |
| 2060 | 234.7211.1–251.5 | 3.41.4–8.9 |
| 2061 | 231.9213–247.7 | 3.91.5–9.3 |
| 2062 | 233.6209.9–252.8 | 3.71.4–10.1 |
| 2063 | 233215.4–250.5 | 4.11.4–10.3 |
| 2064 | 233.2214.4–251.3 | 3.61.2–10.1 |
| 2065 | 230.7210.4–250.7 | 4.21.4–10.4 |
| 2066 | 233.5214.3–251.2 | 41.4–10.5 |
| 2067 | 233211.5–253.3 | 3.91.3–9.9 |
| 2068 | 233.1212.4–253.7 | 4.21.4–10.3 |
| 2069 | 236.1214.6–253.4 | 4.61.7–11.6 |
| 2070 | 235.9218.1–253.4 | 3.81.3–11.8 |
| 2071 | 235.1213.5–259.6 | 41.4–11.5 |
| 2072 | 234.6216.1–252.6 | 4.51.8–10.9 |
| 2073 | 237.2219.3–257.2 | 4.61.5–11.7 |
| 2074 | 236.4215.7–254.5 | 4.41.7–11.7 |
| 2075 | 236.7214.4–255.9 | 4.31.6–11.3 |
| 2076 | 237.7216–257 | 4.91.8–12 |
| 2077 | 237.5219–258.7 | 4.81.9–10.9 |
| 2078 | 238.5217.3–257.8 | 4.92.1–12 |
| 2079 | 238.5219.2–257.2 | 5.42–12.7 |
| 2080 | 240.5218.8–258.3 | 4.91.8–12.5 |
| 2081 | 240219.7–260.9 | 5.12.1–12.5 |
| 2082 | 239.4217.1–258.8 | 51.9–13.9 |
| 2083 | 239.1220.5–259.2 | 5.42.2–13.2 |
| 2084 | 241.3218.9–260.6 | 5.42–12.2 |
| 2085 | 241.7218.8–260.7 | 5.21.7–13.3 |
| 2086 | 241.7217.4–262.7 | 5.31.8–14.1 |
| 2087 | 241.4220.5–260.9 | 5.31.9–13.6 |
| 2088 | 241.8222.3–261.5 | 5.51.9–13.6 |
| 2089 | 240.7221.2–262.6 | 5.22.2–12.5 |
| 2090 | 241.3224.4–260.9 | 5.42–12 |
| 2091 | 242.6220.3–262.5 | 5.91.9–15.4 |
| 2092 | 241.9221.6–263.3 | 5.92–13.2 |
| 2093 | 242.1220.2–260 | 5.61.8–14 |
| 2094 | 242.5222.5–261.9 | 6.12.2–15.1 |
| 2095 | 244.9224–264.4 | 5.62.1–14.7 |
| 2096 | 243.9221.1–266.5 | 6.22.2–14.9 |
| 2097 | 243.6219.6–264.2 | 6.21.9–14.7 |
| 2098 | 243.6222.5–263.9 | 6.12.1–14.3 |
| 2099 | 244.7221.8–263.5 | 5.61.8–14.7 |
| 2100 | 244.5223.2–261.8 | 5.92.2–14.8 |
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须知
- 一年中气温始终高于 20 °C 的夜晚数,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
缅甸与俄罗斯对比
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军用
- 军费开支缅甸:2024 年为 GDP 的 6.61%俄罗斯:2025 年为 GDP 的 7.5%
- 军费开支(美元)缅甸:2024 年为 US$46.5亿俄罗斯:2025 年为 US$1580亿
- 人均军费开支缅甸:2024 年为 US$92俄罗斯:2025 年为 US$1,318
- 军费占政府支出比例缅甸:2024 年为 32%(占政府支出)俄罗斯:2025 年为 19.8%(占政府支出)
- 武装部队人员缅甸:2020 年为 463,000 人俄罗斯:2020 年为 145万 人
- 国家实力缅甸:2022 年为 0.53%(占全球实力)俄罗斯:2022 年为 3.82%(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)俄罗斯:2020 年为 1.98%(占劳动力)
- 武器进口缅甸:2025 年为 7000万 TIV俄罗斯:2025 年为 1.29亿 TIV