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Validation of the FALL3D ash dispersion model using observations of the 2010 Eyjafjallajoekull volcanic ash clouds

机译:使用2010年Eyjafjallajoekull火山灰云的观测结果验证FALL3D灰分扩散模型

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摘要

During April—May 2010 volcanic ash clouds from the Icelandic Eyjafjallajokull volcano reached Europe causing an unprecedented disruption of the EUR/NAT region airspace. Civil aviation authorities banned all flight operations because of the threat posed by volcanic ash to modern turbine aircraft. New quantitative airborne ash mass concentration thresholds, still under discussion, were adopted for discerning regions contaminated by ash. This has implications for ash dispersal models routinely used to forecast the evolution of ash clouds. In this new context, quantitative model validation and assessment of the accuracies of current state-of-the-art models is of paramount importance. The passage of volcanic ash clouds over central Europe, a territory hosting a dense network of meteorological and air quality observatories, generated a quantity of observations unusual for volcanic clouds. From the ground, the cloud was observed by aerosol lidars, lidar ceilometers, sun photometers, other remote-sensing instruments and in-situ collectors. From the air, sondes and multiple aircraft measurements also took extremely valuable in-situ and remote-sensing measurements. These measurements constitute an excellent database for model validation. Here we validate the FALL3D ash dispersal model by comparing model results with ground and airplane-based measurements obtained during the initial 14-23 April 2010 Eyjafjallajokull explosive phase. We run the model at high spatial resolution using as input hourly-averaged observed heights of the eruption column and the total grain size distribution reconstructed from field observations. Model results are then compared against remote ground-based and in-situ aircraft-based measurements, including lidar ceilometers from the German Meteorological Service, aerosol lidars and sun photometers from EARLINET and AERONET networks, and flight missions of the German DLR Falcon aircraft. We find good quantitative agreement, with an error similar to the spread in the observations (however depending on the method used to estimate mass eruption rate) for both airborne and ground mass concentration. Such verification results help us understand and constrain the accuracy and reliability of ash transport models and it is of enormous relevance for designing future operational mitigation strategies at Volcanic Ash Advisory Centers.
机译:在2010年4月至2010年5月期间,来自冰岛Eyjafjallajokull火山的火山灰云到达了欧洲,对EUR / NAT地区领空造成了前所未有的破坏。由于火山灰对现代涡轮飞机的威胁,民航当局禁止所有飞行操作。仍在讨论中的新的定量空气中灰分质量浓度阈值被采用,以辨别被灰烬污染的区域。这对通常用于预测灰云演变的灰分扩散模型有影响。在这种新背景下,定量模型验证和对当前最新模型准确性的评估至关重要。火山灰云在中欧的上空经过,该地区拥有密集的气象和空气质量观测站网络,产生了大量的火山云异常观测结果。在地面上,通过气溶胶激光雷达,激光雷达云高仪,太阳光度计,其他遥感仪器和原位收集器观察到了云。从空中,探空仪和多架飞机进行的测量还进行了非常有价值的现场和遥感测量。这些测量值构成了用于模型验证的出色数据库。在这里,我们通过将模型结果与2010年4月14日至23日Eyjafjallajokull爆炸初期的地面和飞机测量结果进行比较,来验证FALL3D灰分扩散模型。我们使用喷发柱的每小时平均观测高度和通过实地观测重建的总晶粒尺寸分布作为输入,以高空间分辨率运行该模型。然后将模型结果与远程地面和基于飞机的测量结果进行比较,包括德国气象局的激光雷达云高仪,EARLINET和AERONET网络的气溶胶激光雷达和太阳光度计,以及德国DLR猎鹰飞机的飞行任务。我们发现了良好的定量一致性,对于空中和地面质量浓度,其误差类似于观测值的分布范围(但是取决于用于估计质量爆发速率的方法)。此类验证结果有助于我们理解和限制灰烬运输模型的准确性和可靠性,这与在火山灰咨询中心设计未来的减灾策略具有重大意义。

著录项

  • 来源
    《Atmospheric environment》 |2012年第3期|p.165-183|共19页
  • 作者

    A. Folch; A. Costa; S. Basart;

  • 作者单位

    Barcelona Supercomputtng Center — Centro National de Supercomputatidn, Jordi Cirona 29, 08034 Barcelona, Spain;

    Environmental Systems Stience Centre, University of Reading, Reading RC6 6AL, UK,Istttuto Nazionale di Geofisica e Vulcanologia, Osservatorio Vesuviano, Via Diocleziano 328, Napoli, Italy;

    Barcelona Supercomputtng Center — Centro National de Supercomputatidn, Jordi Cirona 29, 08034 Barcelona, Spain;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    volcanic ash dispersion; numerical model; model validation; 2010 eyjafjallajoekull eruption;

    机译:火山灰分散数值模型模型验证;2010 eyjafjallajoekull爆发;

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