THE EFFECT OF THE PHYSICAL PARAMETERIZATION SCHEMES IN WRF-ARW ON THE QUALITY OF THE PREDICTION OF HEAVY RAINS THAT CAUSE FLOODING APPLICATION ON EASTERN ALGERIA
Abstract
This study examines for the first time the impacts of the different physical parameterization schemes in the Weather Research and Forecasting (WRF-ARW) model on the quality of heavy rain prediction during the transitional season in eastern Algeria. Various physical model configurations are examined and verified by considering 144 numerical experiences using different combinations of cumulus and microphysical schemes compared to rain records of a network of thirty specialized meteorological stations for the period from August 1 until the last of October 2022. The most reliable forecasts have been obtained from the Kain-Fritsch cumulus scheme (KF). However, the impact of microphysical schemes was not truly identified in our study cases.
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