Assessing the Accuracy of the Cloud and Water Vapor Fields in the Hurricane WRF (HWRF) Model Using Satellite Infrared Brightness Temperatures

In this study, cycled forecast experiments were performed to assess the ability of different cloud microphysics and cumulus parameterization schemes in the Hurricane Weather Research and Forecasting (HWRF) Model to accurately simulate the evolution of the cloud and moisture fields during the entire...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Monthly weather review 2017-05, Vol.145 (5), p.2027-2046
Hauptverfasser:	Otkin, Jason A., Lewis, William E., Lenzen, Allen J., McNoldy, Brian D., Majumdar, Sharanya J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Atmospheric sciences Bias Brightness Brightness temperature Climatology Cloud computing Cloud microphysics Cloud parameterization Cloud patterns Clouds Computer simulation Correlation Cumulus clouds Cyclones Estimates Evolution Eye of hurricane Fields Forecast accuracy GOES satellites Heat Hurricanes Life cycle Life cycle engineering Life cycles Mathematical models Meteorological satellites Microphysics Model accuracy Moisture Parameterization Satellites Studies Surface radiation temperature Temperature Temperature distribution Temperature effects Tropical climate Tropical cyclones Troposphere Upper troposphere Water vapor Water vapour Weather Weather forecasting Wind speed
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!