D
Dan Bikos
Researcher at Cooperative Institute for Research in the Atmosphere
Publications - 19
Citations - 220
Dan Bikos is an academic researcher from Cooperative Institute for Research in the Atmosphere. The author has contributed to research in topics: Tornado & Geostationary Operational Environmental Satellite. The author has an hindex of 8, co-authored 19 publications receiving 189 citations.
Papers
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Journal ArticleDOI
Synthetic Satellite Imagery for Real-Time High-Resolution Model Evaluation
Dan Bikos,Daniel T. Lindsey,Jason A. Otkin,Justin Sieglaff,Louie Grasso,Chris Siewert,James Correia,Michael C. Coniglio,Robert M. Rabin,John S. Kain,Scott R. Dembek +10 more
TL;DR: In this article, the authors used synthetic infrared satellite imagery to characterize model-simulated large-scale precursors to the formation of deep-convective storms as well as the subsequent development of storm systems.
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Fire detection using GOES rapid scan imagery
TL;DR: In this paper, the proper use of geostationary satellite imagery in wildland fire detection is demonstrated. But the role of both the visible and the 3.9-μm channels are emphasized.
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Evaluation of and Suggested Improvements to the WSM6 Microphysics in WRF- ARW Using Synthetic and Observed GOES-13 Imagery
TL;DR: In this article, the authors compared simulated cloud fields from the 4-km National Severe Storms Laboratory (NSSL) WRF-ARW with observed GOES-13 imagery.
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The environment associated with significant tornadoes in Bangladesh
TL;DR: In this paper, the authors investigated the environmental parameters favoring significant tornadoes in Bangladesh through a simulation of ten high-impact events and identified the most significant tornadic events and analyzed the environmental conditions associated with these events given the scarcity of observational data to assess the near-storm environment in this region.
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The Relationship between Overshooting Tops in a Tornadic Supercell and Its Radar-Observed Evolution
TL;DR: In this paper, a study of a tornadic supercell in Kansas on 14 May 2018 in which data of relatively high spatio-temporal resolution from a mobile, polarimetric, X-band, Doppler radar were integrated with the radar data.