Wayne M. MacKenzie
University of Alabama in Huntsville
8 Papers
59 Citations
Wayne M. MacKenzie is an academic researcher from University of Alabama in Huntsville. The author has contributed to research in topics: Geostationary Operational Environmental Satellite & Geostationary orbit. The author has an hindex of 7, co-authored 8 publications.
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Papers
An Enhanced Geostationary Satellite–Based Convective Initiation Algorithm for 0–2-h Nowcasting with Object Tracking
TL;DR: Validation of the new object-tracking approach to nowcasting CI confirms that a coherent cumulus cloud is present and trackable in GOES data and that it is persistent enough that various infrared threshold–based tests may be performed to assess cloud growth.
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Cloud-Top Properties of Growing Cumulus prior to Convective Initiation as Measured by Meteosat Second Generation. Part I: Infrared Fields
TL;DR: In this article, the authors used the Meteosat Second Generation (MSG) satellite IR data to understand cloud-top signatures for growing cumulus clouds prior to known convective initiation (CI) events, or the first occurrence of a $35-dBZ echo from a new convective cloud.
Convective cloud identification and classification in daytime satellite imagery using standard deviation limited adaptive clustering
TL;DR: In this paper, a statistical clustering approach for the classification of cloud types within meteorological satellite imagery, specifically, visible and infrared data, is described, based on the Standard Deviation Limited Adaptive Clustering (SDLAC) procedure, which has been used to classify a variety of features within both polar orbiting and geostationary imagery.
Cloud-Top Properties of Growing Cumulus prior to Convective Initiation as Measured by Meteosat Second Generation. Part II: Use of Visible Reflectance
TL;DR: In this paper, the authors used visible and near-infrared (NIR) reflectances from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) imagery to understand relationships between cloud-top signatures and physical processes for growing cumulus clouds prior to known convective initiation (CI) events.
Errata: 10.35 μm: an atmospheric window on the GOES-R Advanced Baseline Imager with less moisture attenuation
Daniel T. Lindsey,Timothy J. Schmit,Wayne M. MacKenzie,Christopher P. Jewett,Mathew M. Gunshor,Louie Grasso +5 more
TL;DR: In this article, the authors used radiative transfer model simulations to study the clear-sky gaseous absorption properties in this wavelength range and found that water vapor preferentially absorbs radiation at 11.2 μm compared to 10.35 μm.
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