巴西与俄罗斯对比
巴西与俄罗斯:热带夜
2014 年热带夜:巴西为 282 夜,俄罗斯为 1.4 夜(CMIP6 气候模型中位数模拟)。 2014 年巴西的数值较高,高出 280.6 夜,是俄罗斯的 210 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,巴西的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年巴西为 317.3 夜,俄罗斯为 5.9 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 巴西 | 俄罗斯 |
|---|---|---|
| 2014 | 282 | 1.4 |
| 2013 | 282.5 | 1.2 |
| 2012 | 283.6 | 1.1 |
| 2011 | 281.8 | 1.1 |
| 2010 | 280.2 | 1.2 |
| 2009 | 279.2 | 1 |
| 2008 | 277.8 | 1.1 |
| 2007 | 275.9 | 1 |
| 2006 | 275.4 | 1.1 |
| 2005 | 275.8 | 1.2 |
| 2004 | 278.5 | 1 |
| 2003 | 276.7 | 1 |
| 2002 | 276.2 | 0.9 |
| 2001 | 277.7 | 1 |
| 2000 | 273.3 | 0.9 |
| 1999 | 271 | 0.8 |
| 1998 | 273.6 | 0.8 |
| 1997 | 270.9 | 0.9 |
| 1996 | 264.7 | 0.7 |
| 1995 | 263.8 | 0.7 |
| 1994 | 263.6 | 0.6 |
| 1993 | 258.3 | 0.5 |
| 1992 | 252.8 | 0.4 |
| 1991 | 269.7 | 0.6 |
| 1990 | 272.5 | 0.6 |
| 1989 | 267.1 | 0.6 |
| 1988 | 264.7 | 0.5 |
| 1987 | 265.9 | 0.6 |
| 1986 | 265.7 | 0.6 |
| 1985 | 260.6 | 0.6 |
| 1984 | 261.1 | 0.4 |
| 1983 | 255.9 | 0.3 |
| 1982 | 264.8 | 0.5 |
| 1981 | 265.3 | 0.5 |
| 1980 | 262 | 0.5 |
| 1979 | 261.2 | 0.5 |
| 1978 | 259.7 | 0.5 |
| 1977 | 261.8 | 0.5 |
| 1976 | 258.4 | 0.5 |
| 1975 | 252.4 | 0.4 |
| 1974 | 258.7 | 0.5 |
| 1973 | 261 | 0.5 |
| 1972 | 258.1 | 0.4 |
| 1971 | 256.5 | 0.5 |
| 1970 | 254.5 | 0.4 |
| 1969 | 255.1 | 0.4 |
| 1968 | 254.9 | 0.6 |
| 1967 | 250.3 | 0.5 |
| 1966 | 254.5 | 0.4 |
| 1965 | 250.8 | 0.5 |
| 1964 | 246.2 | 0.4 |
| 1963 | 241.9 | 0.5 |
| 1962 | 257.9 | 0.4 |
| 1961 | 258.2 | 0.5 |
| 1960 | 260.3 | 0.5 |
| 1959 | 255.7 | 0.5 |
| 1958 | 258.1 | 0.5 |
| 1957 | 256.6 | 0.5 |
| 1956 | 251.2 | 0.5 |
| 1955 | 257.2 | 0.5 |
| 1954 | 258 | 0.5 |
| 1953 | 255.2 | 0.6 |
| 1952 | 255.8 | 0.5 |
| 1951 | 256.3 | 0.5 |
| 1950 | 254.4 | 0.5 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 巴西 | 俄罗斯 |
|---|---|---|
| 2015 | 284257.6–299.5 | 1.60.6–3.9 |
| 2016 | 281.5261.4–296.3 | 1.30.6–3.5 |
| 2017 | 284.1263.2–297.8 | 1.40.5–3.6 |
| 2018 | 283.4263.1–298.8 | 1.70.6–4.1 |
| 2019 | 283.7262.9–302.4 | 1.50.7–3.9 |
| 2020 | 286.3264.2–303.6 | 1.50.7–3.6 |
| 2021 | 287.9266.9–302.3 | 1.40.6–3.6 |
| 2022 | 289.6270.7–303.9 | 1.80.6–4.4 |
| 2023 | 287.3270.5–303 | 1.80.6–4.5 |
| 2024 | 291.5268.2–304.6 | 1.70.7–4.1 |
| 2025 | 289.6269.1–304.8 | 20.7–5.2 |
| 2026 | 289.7266.2–305.1 | 1.70.7–4.4 |
| 2027 | 289.5269.1–303.7 | 1.90.8–4.7 |
| 2028 | 291.2271.9–306 | 1.70.8–4.4 |
| 2029 | 295.5276.3–309.6 | 20.9–5.3 |
| 2030 | 292.2269.1–306.9 | 1.80.6–4.8 |
| 2031 | 295.3274–308.9 | 2.11–5.1 |
| 2032 | 296.8280.1–310.9 | 2.20.9–5.8 |
| 2033 | 295.4273.3–308.5 | 2.11.1–5.4 |
| 2034 | 294.3273.5–311.8 | 1.90.8–4.9 |
| 2035 | 295.2274.4–310.9 | 2.21–5.8 |
| 2036 | 295.1278.2–307.8 | 2.41.1–5.9 |
| 2037 | 299.9283.7–311.3 | 2.31–6.1 |
| 2038 | 299.6283.5–312.1 | 2.51.1–5.8 |
| 2039 | 296.9279.9–311 | 2.71.2–6.8 |
| 2040 | 298.5279.4–311.9 | 2.50.9–5.8 |
| 2041 | 301.4282.2–314.1 | 2.61.1–6.6 |
| 2042 | 300.6277.8–314.7 | 2.61–6.8 |
| 2043 | 298.2279.8–312.7 | 2.81.4–7 |
| 2044 | 300.3281.2–315.6 | 2.81–7.5 |
| 2045 | 299.9279.7–313.1 | 2.61.1–7.1 |
| 2046 | 302.8285.8–316.6 | 2.81.1–7.5 |
| 2047 | 303.3285–316.4 | 2.91.1–8.3 |
| 2048 | 304.4287.3–317.3 | 3.41.1–7.9 |
| 2049 | 305.4288.4–318.5 | 3.21.4–8 |
| 2050 | 303.9283.9–316.2 | 3.51.3–8.2 |
| 2051 | 305.7287.5–317.5 | 3.41.3–8.9 |
| 2052 | 305.9290.6–318.8 | 31.2–8.1 |
| 2053 | 305.3285.9–317.5 | 3.11.3–7.5 |
| 2054 | 306.1288.4–319.3 | 3.21.1–7.7 |
| 2055 | 306.4290.8–319.8 | 3.31.2–9 |
| 2056 | 306.7288.3–321.1 | 3.51.3–8.8 |
| 2057 | 306.4287.6–321.1 | 3.71.5–9.1 |
| 2058 | 309291–321.4 | 3.61.5–10.2 |
| 2059 | 310.4290.7–322.8 | 3.81.5–9.3 |
| 2060 | 311.6294.4–325.1 | 3.41.4–8.9 |
| 2061 | 307.5290.3–321.2 | 3.91.5–9.3 |
| 2062 | 309291.5–322.8 | 3.71.4–10.1 |
| 2063 | 310.8290.6–322.8 | 4.11.4–10.3 |
| 2064 | 309.6290.2–321.1 | 3.61.2–10.1 |
| 2065 | 311.1291.6–323.1 | 4.21.4–10.4 |
| 2066 | 312.2294.2–324.2 | 41.4–10.5 |
| 2067 | 310.9291.5–323.3 | 3.91.3–9.9 |
| 2068 | 311.5293–324.5 | 4.21.4–10.3 |
| 2069 | 310.6292.2–323.6 | 4.61.7–11.6 |
| 2070 | 312.7293–325.3 | 3.81.3–11.8 |
| 2071 | 311.5292.1–323.9 | 41.4–11.5 |
| 2072 | 313.3297.8–325.5 | 4.51.8–10.9 |
| 2073 | 313.8298.6–327.2 | 4.61.5–11.7 |
| 2074 | 311.4292.4–323.5 | 4.41.7–11.7 |
| 2075 | 310.9291.5–324.5 | 4.31.6–11.3 |
| 2076 | 314.2294.4–327.7 | 4.91.8–12 |
| 2077 | 315.1295.6–326.8 | 4.81.9–10.9 |
| 2078 | 314.9296.3–327.1 | 4.92.1–12 |
| 2079 | 313292.8–326.8 | 5.42–12.7 |
| 2080 | 311.9294.7–325.4 | 4.91.8–12.5 |
| 2081 | 313.5295.5–325.6 | 5.12.1–12.5 |
| 2082 | 315296.8–327.1 | 51.9–13.9 |
| 2083 | 315.7295.3–328.7 | 5.42.2–13.2 |
| 2084 | 316.6298.5–327.9 | 5.42–12.2 |
| 2085 | 317.4299.3–329.8 | 5.21.7–13.3 |
| 2086 | 315.8294–328 | 5.31.8–14.1 |
| 2087 | 316.5297.9–328.5 | 5.31.9–13.6 |
| 2088 | 315.6297.3–328.8 | 5.51.9–13.6 |
| 2089 | 315296.6–327.9 | 5.22.2–12.5 |
| 2090 | 316298.9–330.3 | 5.42–12 |
| 2091 | 317298.1–330.6 | 5.91.9–15.4 |
| 2092 | 317.6298.7–330.7 | 5.92–13.2 |
| 2093 | 316.3297.5–328.6 | 5.61.8–14 |
| 2094 | 316.4300.2–327.5 | 6.12.2–15.1 |
| 2095 | 319299.8–330.7 | 5.62.1–14.7 |
| 2096 | 317.7299.5–330.8 | 6.22.2–14.9 |
| 2097 | 316.9297.8–329 | 6.21.9–14.7 |
| 2098 | 318.6299.9–331.9 | 6.12.1–14.3 |
| 2099 | 318.1300–330.2 | 5.61.8–14.7 |
| 2100 | 317.3298.4–330.3 | 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
巴西与俄罗斯对比
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军用
- 军费开支巴西:2025 年为 GDP 的 1.05%俄罗斯:2025 年为 GDP 的 7.5%
- 军费开支(美元)巴西:2025 年为 US$236亿俄罗斯:2025 年为 US$1580亿
- 人均军费开支巴西:2025 年为 US$113俄罗斯:2025 年为 US$1,318
- 军费占政府支出比例巴西:2025 年为 2.2%(占政府支出)俄罗斯:2025 年为 19.8%(占政府支出)
- 武装部队人员巴西:2020 年为 762,000 人俄罗斯:2020 年为 145万 人
- 国家实力巴西:2022 年为 2.01%(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巴西:2020 年为 0.76%(占劳动力)俄罗斯:2020 年为 1.98%(占劳动力)
- 武器进口巴西:2025 年为 4.62亿 TIV俄罗斯:2025 年为 1.29亿 TIV
- 武器出口巴西:2025 年为 1.53亿 TIV俄罗斯:2025 年为 19.4亿 TIV