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 (Issue): | 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 |