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This book presents a systematic evaluation of current modeling procedures focusing on limitation sources and their effects to the overall process of polarimetric variable simulation. It re-evaluates limitations of the widely used T-Matrix approach and discusses sources of instability. To overcome limitations in scattering tools and approximations used in the polarimetric variable simulators, a novel computational electromagnetic (CEM) based approach is proposed. For that purpose a CEM solver, herein the robust commercially available WIPL-D, is systematically explored. The goal of the study was…mehr

Produktbeschreibung
This book presents a systematic evaluation of current modeling procedures focusing on limitation sources and their effects to the overall process of polarimetric variable simulation. It re-evaluates limitations of the widely used T-Matrix approach and discusses sources of instability. To overcome limitations in scattering tools and approximations used in the polarimetric variable simulators, a novel computational electromagnetic (CEM) based approach is proposed. For that purpose a CEM solver, herein the robust commercially available WIPL-D, is systematically explored. The goal of the study was to improve modeling of the polarimetric radar signatures and thus explain their meaning. The obtained results are out of reach of the non-CEM methods and prove the robustness and usefulness of the approach. Additionally, the CEM based ensemble modeling could have a dramatic impact on the field of radar aeroecology, in estimating numbers of organisms in the atmosphere and possibly genus based on radar observations. However, to use the CEM, physical models of the hydrometeors or biota must be designed and adapted within the CEM's structure. Doing so is part of the novelty in this book.
Autorenporträt
Dr. Mirkovic was born in 1988, Belgrade Serbia, where he earned his B.Sc. and M.Sc. degrees in Electrical Engineering at the University of Belgrade School of EE. He received his PhD in Electrical Engineering from the University of Oklahoma in 2015 where he works as an Affiliate of the National Severe Storm Laboratory (NOAA).