Evaluation of bias-adjusted satellite precipitation estimations for extreme flood events in Langat river basin, Malaysia
Document Type
Article
Publication Date
1-1-2019
Abstract
Even though satellite precipitation products have received an increasing amount of attention in hydrology and meteorology, their estimations are prone to bias. This study investigates the three approaches of bias correction, i.e., linear scaling (LS), local intensity scaling (LOCI) and power transformation (PT), on the three advanced satellite precipitation products (SPPs), i.e., CMORPH, TRMM and PERSIANN over the Langat river basin, Malaysia by focusing on five selected extreme floods due to northeast monsoon season. Results found the LS scheme was able to match the mean precipitation of every SPP but does not correct standard deviation (SD) or coefficient of variation (CV) of the estimations regardless of extreme floods selected. For LOCI scheme, only TRMM and CMORPH estimations in certain floods have showed some improvement in their results. This might be due to the rainfall threshold set in correcting process. PT scheme was found to be the best method as it improved most of the statistical performances as well as the rainfall distribution of the floods. Sensitivity of the parameters used in the bias correction is also investigated. PT scheme is found to be least sensitive in correcting the daily SPPs compared to the other two schemes. However, careful consideration should be given for correcting the CMORPH and PERSIANN estimations. © 2020 The Authors.
Keywords
bias correction, extreme floods, Malaysia, satellite precipitation
Divisions
fac_eng
Funders
University of Malaya, Kuala Lumpur, Malaysia for financial support (FP039-2014B and PG194-2015B)
Publication Title
Hydrology Research
Volume
51
Issue
1
Publisher
IWA Publishing