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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References

A. S. Hassan, K. N. Zeki, and N. S. Salih, "Determination the Quantity of Extreme Rainfall and calculation of the Climatology Mean for Baghdad City.," Iraqi Journal of Science, vol. 59, no. 1, pp. 447-455, 2018, doi: 10.24996/ijs.2018.59.1B.25.

CrossRef

I. Mugume et al., "Comparison of parametric and nonparametric methods for analyzing the bias of a numerical model," Modelling and simulation in engineering, vol. 2016, 2016.

CrossRef

J. Coiffier, Fundamentals of numerical weather prediction. Cambridge University Press, 2011.

CrossRef

W. C. Skamarock et al., "A description of the advanced research WRF model version 4," National Center for Atmospheric Research: Boulder, CO, USA, vol. 145, no. 145, p. 550, 2019.

W. C. Skamarock et al., "A description of the advanced research WRF version 3 Technical note NCAR," TN-475+ STR National Center for Atmospheric Research Boulder, Colorado, USA, 2008.

J. Dudhia, "A history of mesoscale model development," Asia Pac J Atmos Sci, vol. 50, pp. 121-131, 2014.

CrossRef

J. P. Evans, M. Ekström, and F. Ji, "Evaluating the performance of a WRF physics ensemble over South-East Australia," Clim Dyn, vol. 39, pp. 1241-1258, 2012.

CrossRef

F. Chen and J. Dudhia, "Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity," Mon Weather Rev, vol. 129, no. 4, pp. 569-585, 2001.

CrossRef

"WRF Users' Guide," University Corporation for Atmospheric Research.

P. A. Mooney, F. J. Mulligan, and R. Fealy, "Evaluation of the sensitivity of the weather research and forecasting model to parameterization schemes for regional climates of Europe over the period 1990-95," J Clim, vol. 26, no. 3, pp. 1002-1017, 2013.

CrossRef

M. S. Bukovsky and D. J. Karoly, "Precipitation simulations using WRF as a nested regional climate model," J Appl Meteorol Climatol, vol. 48, no. 10, pp. 2152-2159, 2009.

CrossRef

T. O. Roomi, "Evaluation of Three Numerical Weather Prediction Models over the Middle East," Ph.D dissertation, College of Sc., Mustansiriyah University, 2000.

T. O. Roomi, "A Regional-Scale Forecasting by Nondivergent Barotropic Model," Al- Mustansiriyah J. Sci., vol. 24, no. 6, pp. 129-140, 2013.

T. O. Roomi, K. J. Al-jumaily, and R. H. Salih, "Weather Forecast Simulation in the Middle East Region Using Single-Level Primitive Equations Model," Al- Mustansiriyah J. Sci., vol. 24, no. 2, pp. 147-158, 2013.

S. K. Mohammed, N. M. Al Fatla, and S. A. A. Wahab, "Numerical simulation of dust event during (1-6) June 2012 using BSC-DREAM8b dust regional model over West Asia, a case study," IOSR J Environ Sci Toxicol Food Technol, vol. 9, no. 12, pp. 63-78, 2015.

G. El Afandi, M. Morsy, and F. El Hussieny, "Heavy rainfall simulation over sinai peninsula using the weather research and forecasting model," International Journal of Atmospheric Sciences, vol. 2013, 2013.

CrossRef

G. Zittis, P. Hadjinicolaou, and J. Lelieveld, "Comparison of WRF model physics parameterizations over the MENA-CORDEX domain," Am J Clim Change, vol. 3, no. 05, p. 490, 2014.

CrossRef

S.-Y. Hong, Y. Noh, and J. Dudhia, "A new vertical diffusion package with an explicit treatment of entrainment processes," Mon Weather Rev, vol. 134, no. 9, pp. 2318-2341, 2006.

CrossRef

J. S. Kain and J. M. Fritsch, "Convective parameterization for mesoscale models: The Kain-Fritsch scheme," The representation of cumulus convection in numerical models, pp. 165-170, 1993.

CrossRef

J. S. Kain, "The Kain-Fritsch convective parameterization: an update," Journal of applied meteorology, vol. 43, no. 1, pp. 170-181, 2004.

CrossRef

G. A. Grell and D. Dévényi, "A generalized approach to parameterizing convection combining ensemble and data assimilation techniques," Geophys Res Lett, vol. 29, no. 14, pp. 31-38, 2002.

CrossRef

H. R. Stanski, L. J. Wilson, and W. R. Burrows, "Survey of common verification methods in meteorology," 1989.

T. O. Hodson, "Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not," Geosci Model Dev, vol. 15, no. 14, pp. 5481-5487, 2022.

CrossRef

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Key Dates

Published

30-12-2023

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Section

Original Article

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 J. Sci., vol. 34, no. 4, pp. 1–7, Dec. 2023, doi: 10.23851/mjs.v34i4.1414.

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