Title: | Reconstructing missing daily precipitation data using regression trees and artificial neural networks for SWAT streamflow simulation |
Authors: | Kim, J.-W. and Y.A. Pachepsky |
Year: | 2010 |
Journal: | Journal of Hydrology |
Volume (Issue): | 394(3-4) |
Pages: | 305-314 |
Article ID: | |
DOI: | 10.1016/j.jhydrol.2010.09.005 |
URL (non-DOI journals): | |
Model: | SWAT |
Broad Application Category: | hydrologic only |
Primary Application Category: | climate data effects |
Secondary Application Category: | hydrologic assessment |
Watershed Description: | Central portion of the Chesapeake Bay region in the eastern United States |
Calibration Summary: | |
Validation Summary: | |
General Comments: | |
Language: | English |
Keywords: | Artificial neural network, Precipitation, Reconstruction missing data, Regression tree, Streamflow |