Quantifying the effects of data integration algorithms on the outcomes of a subsurface–land surface processes model

Trans-disciplinary hydrologic models oriented toward practical questions must be accompanied by accurate parameterization techniques. This paper describes the effects of different choices in the integration of various data sources on outcomes of the model Process-based Adaptive Watershed Simulator c...

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Veröffentlicht in:	Environmental modelling & software : with environment data news Jg. 59; S. 146 - 161
Hauptverfasser:	Shen, Chaopeng, Niu, Jie, Fang, Kuai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.09.2014 Elsevier
Schlagworte:	Algorithms Animal, plant and microbial ecology base flow Biological and medical sciences Carbon CLM Coarsening computer software data collection Data integration ecosystems Fundamental and applied biological sciences. Psychology General aspects. Techniques hydrologic models Hydrology land use Mathematical models Methods and techniques (sampling, tagging, trapping, modelling...) Parametrization PAWS Pedotransfer functions Physically-based hydrologic model Pre-processing primary productivity soil stream channels Surface–subsurface interactions water table Watersheds CLM Pre-processing Data integration PAWS Physically-based hydrologic model Surface–subsurface interactions Pedotransfer functions Surface-subsurface interactions Interaction Models Algorithm Subsurface
ISSN:	1364-8152
Online-Zugang:	Volltext
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