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.

Related authors

Sensitivity of land-atmosphere coupling strength to perturbations of early-morning temperature and moisture profiles in the European summer
Lisa Lea Jach, Thomas Schwitalla, Oliver Branch, Kirsten Warrach-Sagi, and Volker Wulfmeyer
Earth Syst. Dynam. Discuss.,,, 2021
Preprint under review for ESD
Short summary
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
Nat. Hazards Earth Syst. Sci., 19, 1129–1149,,, 2019
Short summary
Simulation of semi-arid biomass plantations and irrigation using the WRF-NOAH model – a comparison with observations from Israel
O. Branch, K. Warrach-Sagi, V. Wulfmeyer, and S. Cohen
Hydrol. Earth Syst. Sci., 18, 1761–1783,,, 2014

Related subject area

Atmospheric sciences
Efficient ensemble generation for uncertain correlated parameters in atmospheric chemical models: a case study for biogenic emissions from EURAD-IM version 5
Annika Vogel and Hendrik Elbern
Geosci. Model Dev., 14, 5583–5605,,, 2021
Short summary
Position correction in dust storm forecasting using LOTOS-EUROS v2.1: grid-distorted data assimilation v1.0
Jianbing Jin, Arjo Segers, Hai Xiang Lin, Bas Henzing, Xiaohui Wang, Arnold Heemink, and Hong Liao
Geosci. Model Dev., 14, 5607–5622,,, 2021
Short summary
Atmosphere–ocean–aerosol–chemistry–climate model SOCOLv4.0: description and evaluation
Timofei Sukhodolov, Tatiana Egorova, Andrea Stenke, William T. Ball, Christina Brodowsky, Gabriel Chiodo, Aryeh Feinberg, Marina Friedel, Arseniy Karagodin-Doyennel, Thomas Peter, Jan Sedlacek, Sandro Vattioni, and Eugene Rozanov
Geosci. Model Dev., 14, 5525–5560,,, 2021
Short summary
Harmonized Emissions Component (HEMCO) 3.0 as a versatile emissions component for atmospheric models: application in the GEOS-Chem, NASA GEOS, WRF-GC, CESM2, NOAA GEFS-Aerosol, and NOAA UFS models
Haipeng Lin, Daniel J. Jacob, Elizabeth W. Lundgren, Melissa P. Sulprizio, Christoph A. Keller, Thibaud M. Fritz, Sebastian D. Eastham, Louisa K. Emmons, Patrick C. Campbell, Barry Baker, Rick D. Saylor, and Raffaele Montuoro
Geosci. Model Dev., 14, 5487–5506,,, 2021
Short summary
Mesoscale nesting interface of the PALM model system 6.0
Eckhard Kadasch, Matthias Sühring, Tobias Gronemeier, and Siegfried Raasch
Geosci. Model Dev., 14, 5435–5465,,, 2021
Short summary

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.