Articles | Volume 14, issue 3
https://doi.org/10.5194/gmd-14-1615-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-1615-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
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 Branch
CORRESPONDING AUTHOR
Institute of Physics and Meteorology, University of Hohenheim, 70593
Stuttgart, Germany
Thomas Schwitalla
Institute of Physics and Meteorology, University of Hohenheim, 70593
Stuttgart, Germany
Marouane Temimi
Department of Civil, Environmental, and Ocean Engineering (CEOE),
Stevens Institute of Technology, New Jersey, USA
Ricardo Fonseca
Khalifa University of Science and Technology, Abu Dhabi, United Arab
Emirates
Narendra Nelli
Khalifa University of Science and Technology, Abu Dhabi, United Arab
Emirates
Michael Weston
Khalifa University of Science and Technology, Abu Dhabi, United Arab
Emirates
Josipa Milovac
Meteorology Group, Instituto de Física de
Cantabria, CSIC-University of Cantabria, Santander, Spain
Volker Wulfmeyer
Institute of Physics and Meteorology, University of Hohenheim, 70593
Stuttgart, Germany
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Cited
13 citations as recorded by crossref.
- Scaling artificial heat islands to enhance precipitation in the United Arab Emirates O. Branch et al. 10.5194/esd-15-109-2024
- Evaluation of Reanalysis and Satellite Products against Ground-Based Observations in a Desert Environment N. Nelli et al. 10.3390/rs16193593
- High-resolution WRF forecasts in the SmartAQ system: Evaluation of the meteorological forcing used for PMCAMx predictions in an urban area A. Pappa et al. 10.1016/j.atmosres.2023.107041
- First measurements of electric field variability during fog events in the United Arab Emirates N. Nelli et al. 10.1016/j.jaridenv.2023.105096
- Recent and projected changes in climate patterns in the Middle East and North Africa (MENA) region D. Francis & R. Fonseca 10.1038/s41598-024-60976-w
- Verification of temperature, wind and precipitation fields for the high-resolution WRF NMM model over the complex terrain of Montenegro A. Zečević et al. 10.3233/THC-229016
- Evolution of the Convective Boundary Layer in a WRF Simulation Nested Down to 100 m Resolution During a Cloud‐Free Case of LAFE, 2017 and Comparison to Observations H. Bauer et al. 10.1029/2022JD037212
- Evaluation of the Performance of the WRF Model in a Hyper-Arid Environment: A Sensitivity Study R. Abida et al. 10.3390/atmos13060985
- Sensitivity analysis of an aerosol-aware microphysics scheme in Weather Research and Forecasting (WRF) during case studies of fog in Namibia M. Weston et al. 10.5194/acp-22-10221-2022
- Improving the atmospheric dispersion forecasts over Washington, D.C. using UrbanNet observations: A study with HYSPLIT model N. Lichiheb et al. 10.1016/j.uclim.2024.101948
- Characterization of the atmospheric circulation near the Empty Quarter Desert during major weather events N. Nelli et al. 10.3389/fenvs.2022.972380
- Machine learning applications on air temperature prediction in the urban canopy layer: A critical review of 2011–2022 H. Wang et al. 10.1016/j.uclim.2023.101499
- Assessment of the WRF Model as a Guidance Tool Into Cloud Seeding Operations in the United Arab Emirates R. Fonseca et al. 10.1029/2022EA002269
13 citations as recorded by crossref.
- Scaling artificial heat islands to enhance precipitation in the United Arab Emirates O. Branch et al. 10.5194/esd-15-109-2024
- Evaluation of Reanalysis and Satellite Products against Ground-Based Observations in a Desert Environment N. Nelli et al. 10.3390/rs16193593
- High-resolution WRF forecasts in the SmartAQ system: Evaluation of the meteorological forcing used for PMCAMx predictions in an urban area A. Pappa et al. 10.1016/j.atmosres.2023.107041
- First measurements of electric field variability during fog events in the United Arab Emirates N. Nelli et al. 10.1016/j.jaridenv.2023.105096
- Recent and projected changes in climate patterns in the Middle East and North Africa (MENA) region D. Francis & R. Fonseca 10.1038/s41598-024-60976-w
- Verification of temperature, wind and precipitation fields for the high-resolution WRF NMM model over the complex terrain of Montenegro A. Zečević et al. 10.3233/THC-229016
- Evolution of the Convective Boundary Layer in a WRF Simulation Nested Down to 100 m Resolution During a Cloud‐Free Case of LAFE, 2017 and Comparison to Observations H. Bauer et al. 10.1029/2022JD037212
- Evaluation of the Performance of the WRF Model in a Hyper-Arid Environment: A Sensitivity Study R. Abida et al. 10.3390/atmos13060985
- Sensitivity analysis of an aerosol-aware microphysics scheme in Weather Research and Forecasting (WRF) during case studies of fog in Namibia M. Weston et al. 10.5194/acp-22-10221-2022
- Improving the atmospheric dispersion forecasts over Washington, D.C. using UrbanNet observations: A study with HYSPLIT model N. Lichiheb et al. 10.1016/j.uclim.2024.101948
- Characterization of the atmospheric circulation near the Empty Quarter Desert during major weather events N. Nelli et al. 10.3389/fenvs.2022.972380
- Machine learning applications on air temperature prediction in the urban canopy layer: A critical review of 2011–2022 H. Wang et al. 10.1016/j.uclim.2023.101499
- Assessment of the WRF Model as a Guidance Tool Into Cloud Seeding Operations in the United Arab Emirates R. Fonseca et al. 10.1029/2022EA002269
Latest update: 02 Nov 2024
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.
Effective numerical weather forecasting is vital in arid regions like the United Arab Emirates...