Sensitivity of Different Physical Schemes in WRF Model of a Rainfall Event in Baghdad Station

Authors

DOI:

https://doi.org/10.23851/mjs.v34i4.1414

Keywords:

WRF, physics schemes, sensitivity, rainfall event, Iraq

Abstract

The Weather Research and Forecasting model (WRF) offers a number of physical options that let users modify it to different scales, regions, and applications. The aim of this study is to test the sensitivity of different physics schemes in the WRF model for rainfall events over Iraq. In this study, six different physics configurations of the climate version of WRF were evaluated for simulation of a rainfall event in Iraq. Possible combinations among two Planetary Boundary Layers (PBL), three Cumulus (CUM) and two Microphysics (MIC) schemes were tested. The study area is the region surrounded by the longitudes 35o E-55o E and latitudes 290o N–38o N, which typically includes the Iraq region. The WRF model is installed on a Linux platform with a 10 km grid size in the zonal and meridional directions. For the six different simulations and the process of choosing the best performing configuration for the Iraq region, the model outputs tested for a single grid point (Baghdad station) of the atmospheric parameters (temperature, pressure and total precipitation) with modeled data and ECMWF. Model outputs using statistical methods: Bias Error (BE), Mean Absolute Error (MAE) and Root Mean Square Error (RMSE). The results show All the simulations predict rainfall with values close to the actual but it was discovered that the cloud microphysics setup had the greatest impact on temperature biases, whereas the cumulus parameterization setup has the greatest impact on precipitation.

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Published

30-12-2023

Submission Dates

Received
25/05/2023

revised
29/06/2023

Accepted
23/07/2023

 

How to Cite

[1]
R. H. Ahmed, T. O. . Roomi, H. H. . Hussain, and Z. Salah, “Sensitivity of Different Physical Schemes in WRF Model of a Rainfall Event in Baghdad Station”, Al-Mustansiriyah Journal of Science, vol. 34, no. 4, pp. 1–7, Dec. 2023.

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Section

Atmospheric Science