巴西与圭亚那对比

巴西与圭亚那:热带夜

2014 年热带夜:巴西为 282 夜,圭亚那为 339.5 夜(CMIP6 气候模型中位数模拟)。 2014 年圭亚那的数值较高,高出 57.5 夜,是巴西的 1.2 倍。

每年夜数 · CMIP6

巴西与圭亚那:热带夜2014 年热带夜:巴西为 282 夜,圭亚那为 339.5 夜(CMIP6 气候模型中位数模拟)。 2014 年圭亚那的数值较高,高出 57.5 夜,是巴西的 1.2 倍。
巴西圭亚那CMIP6 模型中位数(SSP2-4.5,中间路径)模型第 10–90 百分位

数据解读

  • 自 1950 年以来,在两国都有数据的每一年,圭亚那的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年巴西为 317.3 夜,圭亚那为 361.4 夜。

逐年数据

每年夜数 · CMIP6

年份巴西圭亚那
2014282339.5
2013282.5339.7
2012283.6340.6
2011281.8338.5
2010280.2338
2009279.2338.1
2008277.8337.5
2007275.9334.7
2006275.4336
2005275.8336.7
2004278.5337.9
2003276.7335.8
2002276.2336
2001277.7337.8
2000273.3333.5
1999271333.8
1998273.6333.2
1997270.9332.9
1996264.7329.9
1995263.8329.4
1994263.6327.6
1993258.3325.4
1992252.8323.4
1991269.7332.2
1990272.5333
1989267.1328.5
1988264.7330
1987265.9329
1986265.7328.4
1985260.6325.3
1984261.1324.6
1983255.9321.5
1982264.8327.5
1981265.3327.7
1980262326.5
1979261.2325.8
1978259.7325.9
1977261.8326.1
1976258.4322.8
1975252.4319
1974258.7324.1
1973261324.8
1972258.1322.8
1971256.5323.8
1970254.5322.8
1969255.1321.8
1968254.9320
1967250.3317.5
1966254.5318.3
1965250.8318.9
1964246.2316.5
1963241.9315.4
1962257.9323.6
1961258.2324.4
1960260.3325.6
1959255.7322.3
1958258.1325.2
1957256.6323.6
1956251.2320.2
1955257.2324
1954258324.3
1953255.2323.3
1952255.8323.9
1951256.3323.2
1950254.4323.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份巴西圭亚那
2015284257.6–299.5342.5323.8–350.6
2016281.5261.4–296.3340.9324.8–349.8
2017284.1263.2–297.8343.8329.7–350.3
2018283.4263.1–298.8343.5330.7–350.7
2019283.7262.9–302.4342.3329.1–351.6
2020286.3264.2–303.6344.6329.7–352.5
2021287.9266.9–302.3345.3333.3–351.6
2022289.6270.7–303.9346.9332.5–355
2023287.3270.5–303345.1332.9–353.2
2024291.5268.2–304.6347.8337.1–355.4
2025289.6269.1–304.8346.8335.8–355.8
2026289.7266.2–305.1346.5334.2–355.6
2027289.5269.1–303.7347.2333–355.8
2028291.2271.9–306349334.8–356.9
2029295.5276.3–309.6350334.8–356.6
2030292.2269.1–306.9348.1334.4–355.9
2031295.3274–308.9349.9337–357.4
2032296.8280.1–310.9351.7339.8–358.9
2033295.4273.3–308.5350.8339–357
2034294.3273.5–311.8349.4336.4–357.6
2035295.2274.4–310.9349.9338.8–359.1
2036295.1278.2–307.8350.8339.3–358.2
2037299.9283.7–311.3352.6341.6–357.6
2038299.6283.5–312.1353341.7–359.6
2039296.9279.9–311352.5340.9–358.4
2040298.5279.4–311.9351.9341.7–360.1
2041301.4282.2–314.1352.9342.2–359.2
2042300.6277.8–314.7352340.6–360.9
2043298.2279.8–312.7351.8341.4–359.6
2044300.3281.2–315.6351.3341.3–360.4
2045299.9279.7–313.1354342.9–359.6
2046302.8285.8–316.6354.9343.1–360.9
2047303.3285–316.4354.8344.3–361.2
2048304.4287.3–317.3356344–361.8
2049305.4288.4–318.5355.8345.4–360.8
2050303.9283.9–316.2354.9344.2–361.8
2051305.7287.5–317.5354.9342.9–362.2
2052305.9290.6–318.8356.1345.4–362.6
2053305.3285.9–317.5355.8343.8–361.4
2054306.1288.4–319.3356.4345.9–361.6
2055306.4290.8–319.8356.1346.7–362.5
2056306.7288.3–321.1356.5345–363.7
2057306.4287.6–321.1357.8344.5–362.3
2058309291–321.4357.6345.3–362.4
2059310.4290.7–322.8357.6346.9–363
2060311.6294.4–325.1358.3347.8–363.6
2061307.5290.3–321.2357.9347.5–362.7
2062309291.5–322.8358.4346.9–363
2063310.8290.6–322.8359.6347.2–362.9
2064309.6290.2–321.1358.1348.1–363.4
2065311.1291.6–323.1358.8347.2–363.5
2066312.2294.2–324.2359348.7–363.1
2067310.9291.5–323.3359347.7–362.7
2068311.5293–324.5359.8346.4–364
2069310.6292.2–323.6358.3347.8–363.5
2070312.7293–325.3358.3346.2–363.3
2071311.5292.1–323.9359.8347.8–363
2072313.3297.8–325.5360347.7–364.2
2073313.8298.6–327.2360.3347.8–364
2074311.4292.4–323.5359.2348.3–363.3
2075310.9291.5–324.5359.2348.1–363.4
2076314.2294.4–327.7359.9349.4–364.1
2077315.1295.6–326.8360.4349.2–363.8
2078314.9296.3–327.1360.5349.4–363.8
2079313292.8–326.8360.2349.8–363.8
2080311.9294.7–325.4360.5348.2–364.5
2081313.5295.5–325.6360.4349.4–363.6
2082315296.8–327.1360.7350.5–363.4
2083315.7295.3–328.7360.4349.8–363.9
2084316.6298.5–327.9361.3349.5–364.6
2085317.4299.3–329.8361.9350.6–363.9
2086315.8294–328360.7350.5–363.8
2087316.5297.9–328.5360.9349.3–363.9
2088315.6297.3–328.8361.3347.8–364.9
2089315296.6–327.9361.6351.2–364.1
2090316298.9–330.3361.2350.5–364.1
2091317298.1–330.6361.8349.9–364.1
2092317.6298.7–330.7361.4350.2–365.2
2093316.3297.5–328.6361.1351–364.3
2094316.4300.2–327.5361.4351.5–363.9
2095319299.8–330.7361.9351.8–364.4
2096317.7299.5–330.8362350.4–365.2
2097316.9297.8–329360.9351.9–363.8
2098318.6299.9–331.9361.8349.8–364.2
2099318.1300–330.2361.6348.6–364.2
2100317.3298.4–330.3361.4351.1–364.3

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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

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