Michael F. Donovan
Massachusetts Institute of Technology
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Featured researches published by Michael F. Donovan.
Journal of Applied Meteorology and Climatology | 2008
Michael F. Donovan; Earle R. Williams; Cathy Kessinger; Gary Blackburn; Paul H. Herzegh; Richard L. Bankert; Steve Miller; Frederick R. Mosher
Abstract Three algorithms based on geostationary visible and infrared (IR) observations are used to identify convective cells that do (or may) present a hazard to aviation over the oceans. The performance of these algorithms in detecting potentially hazardous cells is determined through verification with Tropical Rainfall Measuring Mission (TRMM) satellite observations of lightning and radar reflectivity, which provide internal information about the convective cells. The probability of detection of hazardous cells using the satellite algorithms can exceed 90% when lightning is used as a criterion for hazard, but the false-alarm ratio with all three algorithms is consistently large (∼40%), thereby exaggerating the presence of hazardous conditions. This shortcoming results in part from the algorithms’ dependence upon visible and IR observations, and can be traced to the widespread prevalence of deep cumulonimbi with weak updrafts but without lightning over tropical oceans, whose origin is attributed to sign...
Journal of Applied Meteorology and Climatology | 2015
Earle R. Williams; David J. Smalley; Michael F. Donovan; Robert G. Hallowell; Kenta T. Hood; Betty J. Bennett; Raquel Evaristo; Adam Stepanek; Teresa Bals-Elsholz; Jacob Cobb; Jaclyn Ritzman; Alexei Korolev; Mengistu Wolde
AbstractThe organized behavior of differential radar reflectivity (ZDR) is documented in the cold regions of a wide variety of stratiform precipitation types occurring in both winter and summer. The radar targets and attendant cloud microphysical conditions are interpreted within the context of measurements of ice crystal types in laboratory diffusion chambers in which humidity and temperature are both stringently controlled. The overriding operational interest here is in the identification of regions prone to icing hazards with long horizontal paths. Two predominant regimes are identified: category A, which is typified by moderate reflectivity (from 10 to 30 dBZ) and modest +ZDR values (from 0 to +3 dB) in which both supercooled water and dendritic ice crystals (and oriented aggregates of ice crystals) are present at a mean temperature of −13°C, and category B, which is typified by small reflectivity (from −10 to +10 dBZ) and the largest +ZDR values (from +3 to +7 dB), in which supercooled water is dilut...
Proceedings of SPIE | 2008
Cathy Kessinger; Michael F. Donovan; Richard L. Bankert; Earle R. Williams; Jeffrey D. Hawkins; Huaqing Cai; Nancy Rehak; Daniel Megenhardt; Matthias Steiner
An oceanic convection diagnosis and nowcasting system is described whose domain of interest is the region between the southern continental United States and the northern extent of South America. In this system, geostationary satellite imagery are used to define the locations of deep convective clouds through the weighted combination of three independent algorithms. The resultant output, called the Convective Diagnosis Oceanic (CDO) product, is independently validated against space-borne radar and lighting products from the Tropical Rainfall Measuring Mission (TRMM) satellite to ascertain the ability of the CDO to discriminate hazardous convection. The CDO performed well in this preliminary investigation with some limitations noted. Short-term, 1-hr and 2-hr nowcasts of convection location are performed within the Convective Nowcasting Oceanic (CNO) system using a storm tracker. The CNO was found to have good statistical performance at extrapolating existing storm positions. Current work includes the development and implementation of additional atmospheric features for nowcasting convection initiation and to improve nowcasting of mature convection evolution.
Journal of Applied Meteorology and Climatology | 2018
James M. Kurdzo; Earle R. Williams; David J. Smalley; Betty J. Bennett; David C. Patterson; Mark S. Veillette; Michael F. Donovan
AbstractChaff is a radar countermeasure typically used by military branches in training exercises around the United States. Chaff within view of the S-band WSR-88D radars can appear prominently on radar users displays. Knowledge of chaff characteristics is useful for radar users to discriminate between chaff and weather echoes and for automated algorithms to do the same. The WSR-88D network provides dual-polarimetric capabilities across the United States, leading to the collection of a large database of chaff cases. This database is analyzed to determine the characteristics of chaff in terms of the reflectivity factor and polarimetric variables on large scales. Particular focus is given to the dynamics of differential reflectivity (ZDR) in chaff and its dependence on height. Contrary to radar data observations of chaff for a single event, this study is able to reveal a repeatable and new pattern of radar chaff observations. A discussion regarding the observed characteristics is presented, and hypotheses f...
Archive | 2015
Michael F. Donovan; Elizabeth D Griffin; Betty J. Bennett
37th Conference on Radar Meteorology | 2015
Michael F. Donovan
Archive | 2013
John Y. N. Cho; Robert S. Frankel; Michael F. Donovan; Mark S. Veillette; Pamela L. Heinselman
Archive | 2009
Cathy Kessinger; Huaqing Cai; Nancy Rehak; Daniel Megenhardt; Matthias Steiner; Richard L. Bankert; Jeffrey D. Hawkins; Michael F. Donovan; Earle R. Williams
SAE 2015 International Conference on Icing of Aircraft, Engines, and Structures | 2015
Earle R. Williams; Michael F. Donovan; David J. Smalley; Robert G. Hallowell; Elaine P. Griffin; Kenta T. Hood; Betty J. Bennett; Mengistu Wolde; Alexei Korolev
Archive | 2010
Earle R. Williams; Michael F. Donovan; Richard L. Bankert; J. Kessinger; Huaqing Cai; Ann Rehak; Matthias Steiner; L. Megenhardt; Jeffrey D. Hawkins