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Volcanic ash modeling with the online NMMB-MONARCH-ASH v1.0 model: model description, case simulation, and evaluation

机译:使用在线NMMB-MONARCH-ASH V1.0模型:模型描述,案例模拟和评估的火山灰模型

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Traditionally, tephra transport and dispersal models have evolved decoupled (offline) from numerical weather prediction models. There is a concern that inconsistencies and shortcomings associated with this coupling strategy might lead to errors in the ash cloud forecast. Despite this concern and the significant progress in improving the accuracy of tephra dispersal models in the aftermath of the 2010?Eyjafjallaj?kull and 2011?Cordón Caulle eruptions, to date, no operational online dispersal model is available to forecast volcanic ash. Here, we describe and evaluate NMMB-MONARCH-ASH, a new online multi-scale meteorological and transport model that attempts to pioneer the forecast of volcanic aerosols at operational level. The model forecasts volcanic ash cloud trajectories, concentration of ash at relevant flight levels, and the expected deposit thickness for both regional and global configurations. Its online coupling approach improves the current state-of-the-art tephra dispersal models, especially in situations where meteorological conditions are changing rapidly in time, two-way feedbacks are significant, or distal ash cloud dispersal simulations are required. This work presents the model application for the first phases of the 2011?Cordón Caulle and 2001?Mount?Etna eruptions. The computational efficiency of NMMB-MONARCH-ASH and its application results compare favorably with other long-range tephra dispersal models, supporting its operational implementation.
机译:传统上,Tephra运输和分散模型从数值天气预报模型中进化了解耦(离线)。担心与此耦合策略相关的不一致和缺点可能导致ASH云预测中的错误。尽管有这种关切和提高2010年后果的Tephra Disperal模型的准确性的重要进展呢?Eyjafjallaj?Kull和2011年?Cordón颗粒爆发,迄今为止,没有运营的在线分散模型可用于预测火山灰。在这里,我们描述并评估了NMMB-MONARCH-ASH,这是一种新的在线多尺度气象和传输模型,试图先进运营水平的火山气溶胶预测。该模型预测火山灰云轨迹,相关飞行水平的灰分浓度,以及区域和全球配置的预期沉积物厚度。其在线耦合方法改善了当前最先进的Tephra分散模型,特别是在气象条件随时间迅速变化的情况下,双向反馈是重要的,或者需要远端灰云分散模拟。这项工作介绍了2011年第一阶段的模型应用程序?CordónCaulle和2001年?安装?etna爆发。 NMMB-MONARCH-ASH的计算效率及其应用结果与其他远程TEPHRA分散模型相比,支持其运营实施。

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