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Land surface processes in hydrology: trials and tribulations of modeling and measuring [Libro electrónico] / editores: Soroosh Sorooshian, Hoshin V. Gupta, John C. Rodda

Sorooshian, Soroosh [editor] | Gupta, Hoshin V [editor/a] | Rodda, John C [editor/a].
Tipo de material: Libro en línea Libro en línea Series Editor: New York, New York, United States: Springer, c1997Descripción: xvii, 497 páginas : ilustraciones mapas ; 24 centímetros.ISBN: 3540617671; 9783642644580 (Print); 9783642605673 (Online).Tema(s): Hydrology -- Remote sensing -- Congresses | Atmospheric circulation -- Mathematical models -- CongressesNota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Nota de bibliografía: Incluye bibliografía e índice: páginas 489-497 Número de sistema: 55988Contenidos:Mostrar Resumen:
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General circulation models (GCMs) predict certain changes in the amounts and distribution of precipitation, but the conversion of these predictions of impacts on water resources presents novel problems in hydrologic modeling, particularly with regard to the scale of the processes involved. Therefore improved, distributed GCMs are required. New remote sensing technologies provide the necessary spatially distributed data. However, there are many attendant problems with the translation of remotely sensed signals into hydrologically relevant information. This book elucidates how to improve the representation of land surface hydrologic processes in GCMs and in regional and global scale climate studies. It is divided into five sections: Models and Data; Precipitation; Soil Moisture; Evapotranspiration; Runoff.

Recurso en línea: http://link.springer.com/openurl?genre=book&isbn=978-3-642-64458-0
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Incluye bibliografía e índice: páginas 489-497

Chapter 1. Models and data.. Chapter 2. Precipitation.. Chapter 3. Soil moisture.. Chapter 4. Evapotranspiration.. Chapter 5. Runoff.. Subject Index

Disponible para usuarios de ECOSUR con su clave de acceso

General circulation models (GCMs) predict certain changes in the amounts and distribution of precipitation, but the conversion of these predictions of impacts on water resources presents novel problems in hydrologic modeling, particularly with regard to the scale of the processes involved. Therefore improved, distributed GCMs are required. New remote sensing technologies provide the necessary spatially distributed data. However, there are many attendant problems with the translation of remotely sensed signals into hydrologically relevant information. This book elucidates how to improve the representation of land surface hydrologic processes in GCMs and in regional and global scale climate studies. It is divided into five sections: Models and Data; Precipitation; Soil Moisture; Evapotranspiration; Runoff. eng

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