S
Stephen W. Nesbitt
Researcher at University of Illinois at Urbana–Champaign
Publications - 104
Citations - 6019
Stephen W. Nesbitt is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Precipitation & Mesoscale meteorology. The author has an hindex of 28, co-authored 93 publications receiving 5152 citations. Previous affiliations of Stephen W. Nesbitt include Colorado State University & University of Alabama in Huntsville.
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Where are the most intense thunderstorms on earth
TL;DR: In this article, the authors show the results of a systematic search through seven full years of the TRMM database to find indicators of uncommonly intense storms, such as strong (> 40 dBZ) radar echoes extending to great heights, high lightning flash rates, and very low brightness temperatures at 37 and 85 GHz.
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The Diurnal Cycle of Rainfall and Convective Intensity according to Three Years of TRMM Measurements
TL;DR: The authors presented a comprehensive analysis of the diurnal cycle of the observed precipitation features' rainfall amount, precipitation feature frequency, rainfall intensity, convective-stratiform rainfall portioning, and remotely sensed convective intensity, sampled Tropicswide from space.
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A Census of Precipitation Features in the Tropics Using TRMM: Radar, Ice Scattering, and Lightning Observations
TL;DR: In this paper, an algorithm has been developed to identify precipitation features in two land and two ocean regions during August, September, and October 1998 using data from two instruments on the Tropical Rainfall Measuring Mission (TRMM) satellite: near-surface precipitation radar reflectivities, and TRMM Microwave Imager (TMI) 85.5-GHz polarization corrected temperatures (PCTs).
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Storm Morphology and Rainfall Characteristics of TRMM Precipitation Features
TL;DR: In this article, the authors examined regional variability in rain area and maximum horizontal extent of rainfall features, and role of storm morphology on rainfall production, focusing on the sampling geometry of the PR and the resulting impact on PF statistics across the global Tropics.
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A Cloud and Precipitation Feature Database from Nine Years of TRMM Observations
TL;DR: In this article, an event-based method of analyzing the measurements from multiple satellite sensors is presented by using observations of the Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR), Microwave Imager (TMI), Visible and Infrared Scanner (VIRS), and Lightning Imaging System (LIS).