To develop a progressive multimetric configuration optimisation method for WRF simulations of extreme rainfall events over Egypt

The Weather Research and Forecasting (WRF) model can help to improve our understanding of analysing forecasting hydrometeorological disasters. Especially for some regions like the Nile Delta, which faces growing climate hazards but has inadequate in situ rainfall observations. However, identifying an optimal configuration run WRF is often a challenge. In this study, was used simulate extreme events at high spatial temporal resolutions centered around Alexandria, northern Egypt. particular, progressive multimetric optimisation (PMCO) method proposed identify possible configurations aspect domain size, numbers vertical levels, nesting ratio, spin-up times, physical parameterization schemes (microphysics, planetary boundary layer, cumulus), based on 48 specifically designed experiments. simulation performances are quantified sorted by Technique Order Preference Similarity Ideal Solution (TOPSIS). All simulations use ERA5 reanalysis dataset as conditions results verified against Integrated Multi-satellitE Retrievals GPM (IMERG). show that distribution magnitude most sensitive time schemes. It also observed improvement WRF's reproducibility intensity usually accompanied decrease distribution. best study area comprises three-level (D01 80x80; D02 112x112; D03 88X88), 58 1:3:3 downscaling 48h time, Single-Moment 6-class microphysics scheme, Mellor-Yamada-Janjic layer Grell-Freitas cumulus. stability with other three over there exists common set Egypt produces relatively good events.