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Multi-Parametric Climatological Analysis Associated with Global Significant Volcanic Eruptions During 2002-2017

机译:2002 - 2017年全球大量火山爆发相关的多参数气候分析

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In this work, we search for physical and chemical climatological anomalies preceding major volcanic explosive eruptions (mostly VEI-Volcanic Explosivity Index 4+) occurred from 2002 to 2017, by applying two specific algorithms, i.e. CAPRI and MEANS. The former algorithm has been already used for a multi-climatological analysis of the Amatrice-Norcia 2016-2017 earthquake preparatory phase (Piscini et al., In: Pure Appl Geophys, 174:3673-3688, 2017). Here we analyse some climatological parameters for a three-month period before each volcanic explosive eruption then we compare the behavior with the typical one of the past. The analysis is applied to an area with dimensions comparable to the volcano crater, because it is the increase of the magmatic camera activity that, in turn, can cause a temperature increase whose evidence could be detected at the surface (Slezin, In: J Volcanol Geotherm Res, 122(1-2), 7-50, 2003), while the use of a larger area would provide a greater probability of occurrence of other events (e.g., other volcano eruption, meteorological storms, etcetera). Therefore, a smaller area of study reduces the risk to get "false alarms". In particular, we considered thermal skin temperature, (skt) and total water vapour content (tcwv) from ECMWF European centre and aerosol optical thickness (AOT), sulphur dioxide (SO2) and atmospheric dimethylsulphide (DMS) are obtained from NASA MERRA-2 Global Modeling and Assimilation data archive. The latter compound was added in the analysis to check the validity of the method, since we did not expect significant anomalies from this parameter. The models above described are used for their temporal-spatial completeness, allowing performing time series analyses and for a real time monitoring on a global scale. By simultaneous analysis, we found for almost all volcanic eruptions some anomalies in about all analyzed parameters that precede by 75 days to 20 days the explosion. These anomalies are not always simultaneous, bu
机译:在这项工作中,我们通过应用两种特定算法,即2017年,搜索前一火山爆发的物理和化学气候异常(大多数Vei-Volcanic爆炸性指数4+),即应用两种特定算法,即Capri和手段。前算法已经用于2016-2017地震预备阶段的Amatrice-Norcia的多气候学分析(Piscini等,IN:Pure Appl Geophys,174:3673-3688,2017)。在这里,我们分析了在每个火山爆发前的三个月内的一些气候参数,然后我们将行为与过去的典型之一进行比较。该分析应用于具有与火山火山口相当的尺寸的区域,因为它的岩浆相机活动的增加又可以导致在表面(Slezin,In:J Volcanol中可以检测其证据的温度增加地热res,122(1-2),7-50,2003),而使用更大的区域将提供更大的发生其他事件的可能性(例如,其他火山喷发,气象风暴,等等)。因此,较小的研究领域会降低获得“误报”的风险。特别地,我们考虑了来自Ecmwf欧洲中心和气溶胶光学厚度(AOT),二氧化硫(SO2)和大气二甲基硫化物(DMS)的热皮肤温度(SKT)和全水蒸气含量(TCWV),从NASA Merra-2获得全球建模与同化数据存档。在分析中加​​入后一种化合物以检查该方法的有效性,因为我们没有期望来自此参数的显着异常。上面描述的模型用于它们的时间空间完整性,允许执行时间序列分析并在全球范围内进行实时监控。通过同时分析,我们发现几乎所有的火山喷发一些异常的所有分析参数都在75天至20天之前的爆炸。这些异常并不总是同步,bu

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