Geosci. Model Dev., 14, 1615–1637, 2021 https://doi.org/10.5194/gmd-14-1615-2021 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Seasonal and diurnal performance of daily forecasts with WRF V3.8.1 over the United Arab Emirates Oliver Branch1, Thomas Schwitalla1, Marouane Temimi2, Ricardo Fonseca3, Narendra Nelli3, Michael Weston3, Josipa Milovac4, and Volker Wulfmeyer1 1Institute of Physics and Meteorology, University of Hohenheim, 70593 Stuttgart, Germany 2Department of Civil, Environmental, and Ocean Engineering (CEOE), Stevens Institute of Technology, New Jersey, USA 3Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates 4Meteorology Group, Instituto de Física de Cantabria, CSIC-University of Cantabria, Santander, Spain Correspondence: Oliver Branch (
[email protected]) Received: 19 June 2020 – Discussion started: 1 September 2020 Revised: 10 February 2021 – Accepted: 11 February 2021 – Published: 19 March 2021 Abstract. Effective numerical weather forecasting is vital in T2 m bias and UV10 m bias, which may indicate issues in sim- arid regions like the United Arab Emirates (UAE) where ex- ulation of the daytime sea breeze. TD2 m biases tend to be treme events like heat waves, flash floods, and dust storms are more independent. severe. Hence, accurate forecasting of quantities like surface Studies such as these are vital for accurate assessment of temperatures and humidity is very important. To date, there WRF nowcasting performance and to identify model defi- have been few seasonal-to-annual scale verification studies ciencies. By combining sensitivity tests, process, and obser- with WRF at high spatial and temporal resolution. vational studies with seasonal verification, we can further im- This study employs a convection-permitting scale (2.7 km prove forecasting systems for the UAE.