SWAT Literature Database for Peer-Reviewed Journal Articles

Title:An improved bias correction method of daily rainfall data using a sliding window technique for climate change impact assessment 
Authors:Smitha, P.S., B. Narasimhan, K.P. Sudheer and H. Annamalai 
Year:2018 
Journal:Journal of Hydrology 
Volume:556 
Pages:100-118 
Article ID: 
DOI:10.1016/j.jhydrol.2017.11.010 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:climate change  
Secondary Application Category:hydrologic assessment 
Watershed Description:1,484 km^2 Achankovil, 5,431 km^2 Vaippar, 19,296 km^2 Subarnarekha, 6,000 km^2 Birhidhang, 28,058 km^2 Ken and 21,674 km^2 Sabarmathi rivers, located respectively in southern, southern, northeast, far northeast, north central and northwest India. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Language:English 
Keywords:Hydrological modelling; RCM; Bias correction; Distribution mapping; SWAT