1PhD Student, Faculty of Engineering, Ain Shams University
2Professor of Engineering Hydrology, Faculty of Engineering, Ain Shams University, Egypt
3Professor, Emeritus, NWRC, MWRI, Egypt
4Professor of Environmental Hydrology, Faculty of Engineering, Ain Shams University, Egypt
5Researcher, Environment and Climate Change Research Institute (ECRI), NWRC, MWRI, Egypt
6Assistant Researcher, Water Resources Research Institute (WRRI), National Water. Research Center (NWRC), Ministry of Water Resources and Irrigation (MWRI), Egypt
Online published on 11 October, 2022.
Before using Regional Climate Models (RCMs) for hydrological study, bias correction is required since RCM outputs diverge from the climatological data that have been recorded. Linear scaling (LS) and Power transformation (PT) are two bias correction techniques that were used to estimate the rainfall correction. The two techniques are tested on Egyptian North Western Coast Zone (NWCZ) to estimate the adjusted rainfall. Up to 2100, the adjustment was applied to the Radiative Concentration Pathways (RCP 4.5 and RCP 8.5) scenarios. To select historical data needed for rectification, Climate Hazards Group Infrared Precipitation with Station data (CHIRPS-V2) and climate Research Unit (CRU) data were put to the test. The findings showed that the CHIRPS-V2 is much more trustworthy than CRU data in research area. A variety of statistical measurements were used to assess the effectiveness of the corrective procedures. (PT) demonstrated better agreement than (LS). To make the correction procedure easier, (PT) parameters (a) and (b) were added as a maps covering the rainy months.
Power transformation technique, Bias correction, RCMs, Linear scaling approach
