Evaluation of WRF Microphysics Schemes Performance Forced by Reanalysis and Satellite-Based Precipitation Datasets for Early Warning System of Extreme Storms in Hyper Arid Environment

نویسندگان

چکیده

In this paper, we will investigate the influence of microphysics schemes on rainfall pattern extreme storm that impacted Egypt 12 March 2020. The aim is to improve forecasting using numerical Weather Research and Forecasting (WRF) model for an effective Early Warning System (EWS). performance six were evaluated Model Object-based Evaluation analysis tool (MODE) forced by three selected satellite-based datasets (CMORPH, PERSIANN, PERSIANN-CCS, etc.) one reanalysis dataset (ERA5). Six simulations performed WRF model, considering following schemes: Lin, WSM6, Goddard, Thompson, Morrison, NSSL2C. models both conventional statistical indices MODE, which much more suitable in such studies. results showed Lin scheme outperformed other as NSSL2C, forecasting. Thompson was found be least reliable scheme. An extension study recommended regions where observational rain gauges data are available.

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ژورنال

عنوان ژورنال: Climate

سال: 2022

ISSN: ['2225-1154']

DOI: https://doi.org/10.3390/cli11010008