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...

Full description

Saved in:

Bibliographic Details
Published in:	Environmental modelling & software : with environment data news Vol. 59; pp. 146 - 161
Main Authors:	Shen, Chaopeng, Niu, Jie, Fang, Kuai
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.09.2014 Elsevier
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!