Articles | Volume 14, issue 3
Geosci. Model Dev., 14, 1615–1637, 2021
Geosci. Model Dev., 14, 1615–1637, 2021
Model experiment description paper
19 Mar 2021
Model experiment description paper | 19 Mar 2021

Seasonal and diurnal performance of daily forecasts with WRF V3.8.1 over the United Arab Emirates

Oliver Branch et al.

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Analysis of an extreme weather event in a hyper-arid region using WRF-Hydro coupling, station, and satellite data
Youssef Wehbe, Marouane Temimi, Michael Weston, Naira Chaouch, Oliver Branch, Thomas Schwitalla, Volker Wulfmeyer, Xiwu Zhan, Jicheng Liu, and Abdulla Al Mandous
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Cited articles

Al Azhar, M., Temimi, M., Zhao, J., and Ghedira, H.: Modeling of circulation in the Arabian Gulf and the Sea of Oman: Skill assessment and seasonal thermohaline structure, J. Geophys. Res.-Oceans, 121, 1700–1720,, 2016. 
Albergel, C., de Rosnay, P., Balsamo, G., Isaksen, L., and Muñoz-Sabater, J.: Soil Moisture Analyses at ECMWF: Evaluation Using Global Ground-Based In Situ Observations, J. Hydrometeorol., 13, 1442–1460,, 2012. 
Aldababseh, A. and Temimi, M.: Analysis of the Long-Term Variability of Poor Visibility Events in the UAE and the Link with Climate Dynamics, Atmosphere (Basel), 8, 242,, 2017. 
AlEbri, M., Arman, H., and Shalaby, A.: The Impact of El Nino and La Nina on the United Arab Emirates (UAE) Rainfall, Gen. Sci. Res., 4, 5–10,, 2016. 
Almazroui, M.: Temperature Variability over Saudi Arabia and its Association with Global Climate Indices, JKAU Met, Env. Arid L. Agric. Sci, 23, 85–108,, 2012. 
Short summary
Effective numerical weather forecasting is vital in arid regions like the United Arab Emirates where extreme events like heat waves, flash floods, and dust storms are becoming more severe. This study employs a high-resolution simulation with the WRF-NOAHMP model, and the output is compared with seasonal observation data from 50 weather stations. This type of verification is vital to identify model deficiencies and improve forecasting systems for arid regions.