巴西与委内瑞拉对比

巴西与委内瑞拉:热带夜

2014 年热带夜:巴西为 282 夜,委内瑞拉为 301.6 夜(CMIP6 气候模型中位数模拟)。 2014 年委内瑞拉的数值较高,高出 19.6 夜,是巴西的 1.07 倍。

每年夜数 · CMIP6

巴西与委内瑞拉:热带夜2014 年热带夜:巴西为 282 夜,委内瑞拉为 301.6 夜(CMIP6 气候模型中位数模拟)。 2014 年委内瑞拉的数值较高,高出 19.6 夜,是巴西的 1.07 倍。
巴西委内瑞拉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,委内瑞拉的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年巴西为 317.3 夜,委内瑞拉为 345 夜。

逐年数据

每年夜数 · CMIP6

年份巴西委内瑞拉
2014282301.6
2013282.5302
2012283.6303.7
2011281.8301.3
2010280.2300.3
2009279.2300
2008277.8298.4
2007275.9296.4
2006275.4296.8
2005275.8296.8
2004278.5299.4
2003276.7295.2
2002276.2296.3
2001277.7298.7
2000273.3292.3
1999271291.6
1998273.6291.4
1997270.9290.5
1996264.7286.8
1995263.8285.4
1994263.6282.3
1993258.3279.5
1992252.8274.7
1991269.7289.7
1990272.5291.4
1989267.1283.8
1988264.7284.2
1987265.9284.2
1986265.7284.4
1985260.6278.3
1984261.1279.8
1983255.9274.3
1982264.8280.8
1981265.3283.4
1980262280.5
1979261.2281.1
1978259.7278.7
1977261.8281.2
1976258.4276.6
1975252.4272.3
1974258.7277.7
1973261278.9
1972258.1275.9
1971256.5276.5
1970254.5275.6
1969255.1275.6
1968254.9273.2
1967250.3271.5
1966254.5273.1
1965250.8272.1
1964246.2270.3
1963241.9268.9
1962257.9276.8
1961258.2278.6
1960260.3279.9
1959255.7276.1
1958258.1280.9
1957256.6277.6
1956251.2275.1
1955257.2277.7
1954258277.5
1953255.2277.3
1952255.8278.4
1951256.3277.5
1950254.4275.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份巴西委内瑞拉
2015284257.6–299.5306.4280.3–320.1
2016281.5261.4–296.3303.9282.3–316.9
2017284.1263.2–297.8308.5288.7–319.9
2018283.4263.1–298.8307.6289.9–320.7
2019283.7262.9–302.4306.7288.7–321.7
2020286.3264.2–303.6310.2287.9–323.6
2021287.9266.9–302.3311.3295.3–324.1
2022289.6270.7–303.9314.4295–326.3
2023287.3270.5–303311.5294.4–326.5
2024291.5268.2–304.6316298.2–327.4
2025289.6269.1–304.8313.8294.2–329.5
2026289.7266.2–305.1314290.3–329.4
2027289.5269.1–303.7315.6292.6–328.8
2028291.2271.9–306317.7296.4–332.1
2029295.5276.3–309.6319.3296.9–332
2030292.2269.1–306.9317.7295–328.5
2031295.3274–308.9320.1295.9–331.8
2032296.8280.1–310.9321.4304.7–335
2033295.4273.3–308.5320.6301.8–331.2
2034294.3273.5–311.8318.1298.1–335
2035295.2274.4–310.9319.3302.3–335.9
2036295.1278.2–307.8320.5305.3–332.3
2037299.9283.7–311.3324.1307.2–334.1
2038299.6283.5–312.1325.8309.6–336.2
2039296.9279.9–311324.3307.9–335.8
2040298.5279.4–311.9323.5307.5–338.7
2041301.4282.2–314.1325.3309.6–336.6
2042300.6277.8–314.7324.8305.5–341.2
2043298.2279.8–312.7324.2307.1–337.7
2044300.3281.2–315.6324.1306.3–339.8
2045299.9279.7–313.1327.5309.7–338.6
2046302.8285.8–316.6329.6310.8–340.5
2047303.3285–316.4329.5313.9–341.5
2048304.4287.3–317.3331.2313.7–342.8
2049305.4288.4–318.5332.3314.9–340.5
2050303.9283.9–316.2330.9311.8–343.6
2051305.7287.5–317.5330.7310.1–344
2052305.9290.6–318.8332.4316.6–343.5
2053305.3285.9–317.5330.6312.7–343.6
2054306.1288.4–319.3331.9313.8–344.6
2055306.4290.8–319.8333317–345.8
2056306.7288.3–321.1332.7313.1–347.7
2057306.4287.6–321.1334.2315.2–345.3
2058309291–321.4333.5314.3–346.2
2059310.4290.7–322.8335.6317.1–348.3
2060311.6294.4–325.1337.4319.4–349
2061307.5290.3–321.2335.3317.3–347.2
2062309291.5–322.8335.9315–348.4
2063310.8290.6–322.8338317.5–347.9
2064309.6290.2–321.1336.3319.9–347.5
2065311.1291.6–323.1336.8319.9–349
2066312.2294.2–324.2337.9320.9–349.1
2067310.9291.5–323.3337.5317.9–348.2
2068311.5293–324.5339.3317.4–349.4
2069310.6292.2–323.6336.5318.1–349
2070312.7293–325.3336.4319.5–349.1
2071311.5292.1–323.9338.9319.1–349.1
2072313.3297.8–325.5340321.8–350.6
2073313.8298.6–327.2340.3322.9–351.4
2074311.4292.4–323.5338.9319.1–349.5
2075310.9291.5–324.5339.5318.1–349.2
2076314.2294.4–327.7339.8322.6–350.2
2077315.1295.6–326.8340.3322.1–351
2078314.9296.3–327.1340.2323–351
2079313292.8–326.8340.1320.9–351.4
2080311.9294.7–325.4341.4320.2–351.6
2081313.5295.5–325.6340.7322.5–351.3
2082315296.8–327.1341.6323.9–350.1
2083315.7295.3–328.7341.7323.3–353
2084316.6298.5–327.9343.3321.3–352.4
2085317.4299.3–329.8344.7322.8–353.5
2086315.8294–328341.4322.6–352.2
2087316.5297.9–328.5342.5322.4–352.2
2088315.6297.3–328.8342.9322.8–353.6
2089315296.6–327.9342.3324.8–353.1
2090316298.9–330.3341.9325.2–352.9
2091317298.1–330.6344.3323.4–353.3
2092317.6298.7–330.7344.3324.9–354.2
2093316.3297.5–328.6343324.8–353.6
2094316.4300.2–327.5343.9326.6–352.8
2095319299.8–330.7345.4325.4–354.5
2096317.7299.5–330.8343.7326–355.2
2097316.9297.8–329343.5324.6–351.9
2098318.6299.9–331.9344.5326.1–354.4
2099318.1300–330.2344.6324.8–353.8
2100317.3298.4–330.3345328.4–353.9

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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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