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Improving Surface Hydrometeorological Fields
Details
Satellite data is vital for understanding atmospheric properties, particularly those pertaining to cloud cover and its properties. Cloud cover is a key paremeter controlling and linking downward components of short-wave and long-wave surface radiation and precipitation on the land surface energy and water balance. On the other hand, hydrologists are now actively using the available high-resolution land and snow cover, topography, soil and vegetation characteristics data sets to parameterize distributed hydrologic models and to couple these models with atmospheric models. Adequate evaluation of these coupled models will depend on the accurate estimation of fine-resolution surface variables. This book is focused on correcting the modeled cloud cover in an atmospheric model thus allowing the model radiation and precipitation codes to calculate the actual spatial variability generated by the observed clouds. The benefits of this work will not only enhance the realism of radiation in the model, but it may also increase the model's capability to predict the location and amount of precipitation.
Autorentext
Ismail Yucel, PhD:Studied hydrometeorology at University of Arizona. Associate Professor at Civil Engineering Department of Middle East Technical University, Ankara, Turkey.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783639294378
- Sprache Englisch
- Genre Allgemeines & Lexika
- Größe H7mm x B220mm x T150mm
- Jahr 2010
- EAN 9783639294378
- Format Kartonierter Einband (Kt)
- ISBN 978-3-639-29437-8
- Titel Improving Surface Hydrometeorological Fields
- Autor Ismail Yucel
- Untertitel Satellite data analysis, data assimilation and model application
- Gewicht 177g
- Herausgeber VDM Verlag Dr. Müller e.K.
- Anzahl Seiten 120