巴西与古巴对比
巴西与古巴：热带夜
2014 年热带夜：巴西为 282 夜，古巴为 309.7 夜（CMIP6 气候模型中位数模拟）。 2014 年古巴的数值较高，高出 27.7 夜，是巴西的 1.1 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，古巴的数值都更高。
- 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年巴西为 317.3 夜，古巴为 346 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 巴西 | 古巴 |
|---|---|---|
| 2014 | 282 | 309.7 |
| 2013 | 282.5 | 315.2 |
| 2012 | 283.6 | 312 |
| 2011 | 281.8 | 312.1 |
| 2010 | 280.2 | 313 |
| 2009 | 279.2 | 308.8 |
| 2008 | 277.8 | 309.3 |
| 2007 | 275.9 | 308.5 |
| 2006 | 275.4 | 309.9 |
| 2005 | 275.8 | 309.1 |
| 2004 | 278.5 | 309.3 |
| 2003 | 276.7 | 304.6 |
| 2002 | 276.2 | 310.4 |
| 2001 | 277.7 | 304.8 |
| 2000 | 273.3 | 308.1 |
| 1999 | 271 | 304.4 |
| 1998 | 273.6 | 304.9 |
| 1997 | 270.9 | 299.8 |
| 1996 | 264.7 | 298 |
| 1995 | 263.8 | 295.1 |
| 1994 | 263.6 | 297.3 |
| 1993 | 258.3 | 294.5 |
| 1992 | 252.8 | 295.7 |
| 1991 | 269.7 | 299.1 |
| 1990 | 272.5 | 302 |
| 1989 | 267.1 | 298.1 |
| 1988 | 264.7 | 298.3 |
| 1987 | 265.9 | 294 |
| 1986 | 265.7 | 293.6 |
| 1985 | 260.6 | 297.4 |
| 1984 | 261.1 | 289.4 |
| 1983 | 255.9 | 292.2 |
| 1982 | 264.8 | 294 |
| 1981 | 265.3 | 293.6 |
| 1980 | 262 | 295.8 |
| 1979 | 261.2 | 295.1 |
| 1978 | 259.7 | 290.9 |
| 1977 | 261.8 | 289.3 |
| 1976 | 258.4 | 293.4 |
| 1975 | 252.4 | 289 |
| 1974 | 258.7 | 291.6 |
| 1973 | 261 | 291.2 |
| 1972 | 258.1 | 289.4 |
| 1971 | 256.5 | 286.5 |
| 1970 | 254.5 | 283.3 |
| 1969 | 255.1 | 287.2 |
| 1968 | 254.9 | 290.6 |
| 1967 | 250.3 | 289.9 |
| 1966 | 254.5 | 290.7 |
| 1965 | 250.8 | 284.8 |
| 1964 | 246.2 | 287.7 |
| 1963 | 241.9 | 288.9 |
| 1962 | 257.9 | 292.9 |
| 1961 | 258.2 | 292.2 |
| 1960 | 260.3 | 293.3 |
| 1959 | 255.7 | 292.7 |
| 1958 | 258.1 | 291.6 |
| 1957 | 256.6 | 292 |
| 1956 | 251.2 | 294.6 |
| 1955 | 257.2 | 293.4 |
| 1954 | 258 | 289.5 |
| 1953 | 255.2 | 289.2 |
| 1952 | 255.8 | 290.9 |
| 1951 | 256.3 | 292.1 |
| 1950 | 254.4 | 292.3 |
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
| 年份 | 巴西 | 古巴 |
|---|---|---|
| 2015 | 284257.6–299.5 | 315.1292.1–332.6 |
| 2016 | 281.5261.4–296.3 | 317.9302.7–334.8 |
| 2017 | 284.1263.2–297.8 | 317304–329.5 |
| 2018 | 283.4263.1–298.8 | 319.5301–334.2 |
| 2019 | 283.7262.9–302.4 | 317.6297.3–336.1 |
| 2020 | 286.3264.2–303.6 | 319.5296.6–334.3 |
| 2021 | 287.9266.9–302.3 | 320.6301.8–335.1 |
| 2022 | 289.6270.7–303.9 | 318.2303.4–331.8 |
| 2023 | 287.3270.5–303 | 322.4302.9–336.9 |
| 2024 | 291.5268.2–304.6 | 320.1297.1–341.5 |
| 2025 | 289.6269.1–304.8 | 319.6297.1–334.8 |
| 2026 | 289.7266.2–305.1 | 327.3300.6–343.1 |
| 2027 | 289.5269.1–303.7 | 328.7307.3–344.9 |
| 2028 | 291.2271.9–306 | 327.5306.8–343.5 |
| 2029 | 295.5276.3–309.6 | 326.5309–340.3 |
| 2030 | 292.2269.1–306.9 | 328.8305–342.3 |
| 2031 | 295.3274–308.9 | 328.6308.6–343.5 |
| 2032 | 296.8280.1–310.9 | 332.1308.4–344.7 |
| 2033 | 295.4273.3–308.5 | 328.3305.5–342.9 |
| 2034 | 294.3273.5–311.8 | 329.4308.9–346.2 |
| 2035 | 295.2274.4–310.9 | 325.7307.3–342.4 |
| 2036 | 295.1278.2–307.8 | 329307–341.7 |
| 2037 | 299.9283.7–311.3 | 332.6311.4–346.9 |
| 2038 | 299.6283.5–312.1 | 331.4313–345.1 |
| 2039 | 296.9279.9–311 | 328305.6–345.9 |
| 2040 | 298.5279.4–311.9 | 328.8309–347.6 |
| 2041 | 301.4282.2–314.1 | 331.4307.4–344.3 |
| 2042 | 300.6277.8–314.7 | 331.6309.6–345.1 |
| 2043 | 298.2279.8–312.7 | 332.1311–348.9 |
| 2044 | 300.3281.2–315.6 | 335.1315.6–348.6 |
| 2045 | 299.9279.7–313.1 | 336.3317.6–348.6 |
| 2046 | 302.8285.8–316.6 | 328.7309–349.2 |
| 2047 | 303.3285–316.4 | 334.4316.3–350.1 |
| 2048 | 304.4287.3–317.3 | 335.2316.3–349.1 |
| 2049 | 305.4288.4–318.5 | 339.5317–350.8 |
| 2050 | 303.9283.9–316.2 | 338.7316.7–350.6 |
| 2051 | 305.7287.5–317.5 | 337.4313.8–349.8 |
| 2052 | 305.9290.6–318.8 | 331311.8–349.4 |
| 2053 | 305.3285.9–317.5 | 339.5314.6–351.2 |
| 2054 | 306.1288.4–319.3 | 338.4322.5–348.7 |
| 2055 | 306.4290.8–319.8 | 336.9318.7–350.1 |
| 2056 | 306.7288.3–321.1 | 338.1320.4–351.5 |
| 2057 | 306.4287.6–321.1 | 340.6316.7–351.1 |
| 2058 | 309291–321.4 | 340.8322.3–351.7 |
| 2059 | 310.4290.7–322.8 | 334.6319.6–349.6 |
| 2060 | 311.6294.4–325.1 | 340.7320.6–352.9 |
| 2061 | 307.5290.3–321.2 | 337.9324.8–351.5 |
| 2062 | 309291.5–322.8 | 340.1323.4–351 |
| 2063 | 310.8290.6–322.8 | 340.9316.3–354.4 |
| 2064 | 309.6290.2–321.1 | 341315.6–353.1 |
| 2065 | 311.1291.6–323.1 | 340.3319.5–352 |
| 2066 | 312.2294.2–324.2 | 339.5319.3–352.1 |
| 2067 | 310.9291.5–323.3 | 342.1324.2–351.9 |
| 2068 | 311.5293–324.5 | 344.3320.4–354.8 |
| 2069 | 310.6292.2–323.6 | 342.8323.8–355.6 |
| 2070 | 312.7293–325.3 | 344.4322.1–356.2 |
| 2071 | 311.5292.1–323.9 | 345326.4–354.8 |
| 2072 | 313.3297.8–325.5 | 345318.5–356.3 |
| 2073 | 313.8298.6–327.2 | 343.1321.4–355.1 |
| 2074 | 311.4292.4–323.5 | 342.9325.4–354.5 |
| 2075 | 310.9291.5–324.5 | 341.8319.7–353.7 |
| 2076 | 314.2294.4–327.7 | 344.9323.6–356.2 |
| 2077 | 315.1295.6–326.8 | 342320.4–351.9 |
| 2078 | 314.9296.3–327.1 | 345324.3–355.7 |
| 2079 | 313292.8–326.8 | 343.3323.8–356 |
| 2080 | 311.9294.7–325.4 | 344.9328.1–358.4 |
| 2081 | 313.5295.5–325.6 | 342.7326–353.6 |
| 2082 | 315296.8–327.1 | 344.9329.8–355.4 |
| 2083 | 315.7295.3–328.7 | 343.8321.8–354.5 |
| 2084 | 316.6298.5–327.9 | 344328.8–356.5 |
| 2085 | 317.4299.3–329.8 | 346.4322.1–356.6 |
| 2086 | 315.8294–328 | 342.6316.5–352.9 |
| 2087 | 316.5297.9–328.5 | 345.5325.6–356.7 |
| 2088 | 315.6297.3–328.8 | 346.5325.1–358.5 |
| 2089 | 315296.6–327.9 | 347.8327.2–357.7 |
| 2090 | 316298.9–330.3 | 346.9334.4–356.8 |
| 2091 | 317298.1–330.6 | 346.9330.1–357.1 |
| 2092 | 317.6298.7–330.7 | 346.6327–356 |
| 2093 | 316.3297.5–328.6 | 345.4326.9–356.3 |
| 2094 | 316.4300.2–327.5 | 347326.3–357.7 |
| 2095 | 319299.8–330.7 | 343.9329.1–355.1 |
| 2096 | 317.7299.5–330.8 | 344326.6–356.1 |
| 2097 | 316.9297.8–329 | 346.7329.2–355.1 |
| 2098 | 318.6299.9–331.9 | 347.2326.3–356.6 |
| 2099 | 318.1300–330.2 | 345.5327.5–357.7 |
| 2100 | 317.3298.4–330.3 | 346329.4–356.1 |
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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
巴西与古巴对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支巴西：2025 年为 GDP 的 1.05%古巴：2018 年为 GDP 的 2.88%
- 人均军费开支巴西：2025 年为 US$113古巴：2018 年为 US$11
- 武装部队人员巴西：2020 年为 762,000 人古巴：2020 年为 76,000 人
- 国家实力巴西：2022 年为 2.01%（占全球实力）古巴：2022 年为 0.11%（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）古巴：2020 年为 1.54%（占劳动力）
- 武器进口巴西：2025 年为 4.62亿 TIV古巴：2004 年为 800万 TIV
- 武器出口巴西：2025 年为 1.53亿 TIV古巴：1980 年为 800万 TIV