Articles | Volume 19, issue 6
https://doi.org/10.5194/nhess-19-1129-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-1129-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Analysis of an extreme weather event in a hyper-arid region using WRF-Hydro coupling, station, and satellite data
Department of Civil Infrastructure and Environmental Engineering,
Khalifa University of Science and Technology, Masdar City, P.O. Box 54224
Abu Dhabi, United Arab Emirates
National Center of Meteorology (NCM), P.O. Box 4815, Abu Dhabi,
United Arab Emirates
Marouane Temimi
Department of Civil Infrastructure and Environmental Engineering,
Khalifa University of Science and Technology, Masdar City, P.O. Box 54224
Abu Dhabi, United Arab Emirates
Michael Weston
Department of Civil Infrastructure and Environmental Engineering,
Khalifa University of Science and Technology, Masdar City, P.O. Box 54224
Abu Dhabi, United Arab Emirates
Naira Chaouch
NOAA CREST Institute, City University of New York, 160 Convent Avenue, New York, NY 10031,
USA
Oliver Branch
Institute of Physics and Meteorology, University of Hohenheim,
Garbenstraße 30, 70599 Stuttgart, Germany
Thomas Schwitalla
Institute of Physics and Meteorology, University of Hohenheim,
Garbenstraße 30, 70599 Stuttgart, Germany
Volker Wulfmeyer
Institute of Physics and Meteorology, University of Hohenheim,
Garbenstraße 30, 70599 Stuttgart, Germany
Xiwu Zhan
NOAA-NESDIS Center for Satellite Applications and Research (STAR), 5830 University Research Court College Park, MD 20740, USA
Jicheng Liu
NOAA-NESDIS Center for Satellite Applications and Research (STAR), 5830 University Research Court College Park, MD 20740, USA
ESSIC/CICS, University of Maryland College Park, College Park, MD 20740, USA
Abdulla Al Mandous
National Center of Meteorology (NCM), P.O. Box 4815, Abu Dhabi,
United Arab Emirates
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Latest update: 20 Nov 2024
Short summary
The work addresses the need for reliable precipitation forecasts in hyper-arid environments through state-of-the-art hydro-meteorological modeling. Accounting for land–atmosphere interactions in the applied model is shown to improve the accuracy of precipitation output. The chain of events controlling the soil moisture–precipitation feedback are diagnosed and verified by in situ observations and satellite data.
The work addresses the need for reliable precipitation forecasts in hyper-arid environments...
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