干旱区生态环境知识资源中心(Arid): Analysis of an extreme weather event in a hyper-arid region using WRF-Hydro coupling, station, and satellite data

Arid

DOI	10.5194/nhess-19-1129-2019
	Analysis of an extreme weather event in a hyper-arid region using WRF-Hydro coupling, station, and satellite data
	Wehbe, Youssef 1,2; Temimi, Marouane 1; Weston, Michael 1; Chaouch, Naira 3; Branch, Oliver 4; Schwitalla, Thomas 4; Wulfmeyer, Volker 4; Zhan, Xiwu 5; Liu, Jicheng 5,6; Al Mandous, Abdulla 2
通讯作者	Wehbe, Youssef
来源期刊	NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
ISSN	1561-8633
出版年	2019
卷号	19 期号:6 页码:1129-1149
英文摘要	This study investigates an extreme weather event that impacted the United Arab Emirates (UAE) in March 2016, using the Weather Research and Forecasting (WRF) model version 3.7.1 coupled with its hydrological modeling extension package (WRF-Hydro). Six-hourly forecasted forcing records at 0.5 degrees spatial resolution, obtained from the National Center for Environmental Prediction (NCEP) Global Forecast System (GFS), are used to drive the three nested downscaling domains of both standalone WRF and coupled WRF-WRF-Hydro configurations for the recent flood-triggering storm. Ground and satellite observations over the UAE are employed to validate the model results. The model performance was assessed using precipitation from the Global Precipitation Measurement (GPM) mission (30 min, 0.1 degrees product), soil moisture from the Advanced Microwave Scanning Radiometer 2 (AMSR2; daily, 0.1 degrees product) and the NOAA Soil Moisture Operational Products System (SMOPS; 6-hourly, 0.25 degrees product), and cloud fraction retrievals from the Moderate Resolution Imaging Spectroradiometer Atmosphere product (MODATM; daily, 5 km product). The Pearson correlation coefficient (PCC), relative bias (rBIAS), and root-mean-square error (RMSE) are used as performance measures. Results show reductions of 24 % and 13 % in RMSE and rBIAS measures, respectively, in precipitation forecasts from the coupled WRF-WRF-Hydro model configuration, when compared to standalone WRF. The coupled system also shows improvements in global radiation forecasts, with reductions of 45 % and 12 % for RMSE and rBIAS, respectively. Moreover, WRF-Hydro was able to simulate the spatial distribution of soil moisture reasonably well across the study domain when compared to AMSR2 derived soil moisture estimates, despite a noticeable dry and wet bias in areas where soil moisture is high and low. Temporal and spatial variabilities of simulated soil moisture compare well to estimates from the NOAA SMOPS product, which indicates the model's capability to simulate surface drainage. Finally, the coupled model showed a shallower planetary boundary layer (PBL) compared to the standalone WRF simulation, which is attributed to the effect of soil moisture feedback. The demonstrated improvement, at the local scale, implies that WRF-Hydro coupling may enhance hydrological and meteorological forecasts in hyper-arid environments.
类型	Article
语种	英语
国家	U Arab Emirates ; USA ; Germany
开放获取类型	Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000471598900001
WOS关键词	SOIL-MOISTURE ; PRECIPITATION PRODUCTS ; ARABIAN PENINSULA ; MODEL ; RAINFALL ; CLIMATE ; SCHEMES ; PARAMETERIZATIONS ; CONSISTENCY ; CALIBRATION
WOS类目	Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/217716
作者单位	1.Khalifa Univ Sci & Technol, Dept Civil Infrastruct & Environm Engn, POB 54224, Abu Dhabi, U Arab Emirates; 2.NCM, POB 4815, Abu Dhabi, U Arab Emirates; 3.CUNY, NOAA Crest Inst, 160 Convent Ave, New York, NY 10031 USA; 4.Univ Hohenheim, Inst Phys & Meteorol, Garbenstr 30, D-70599 Stuttgart, Germany; 5.5NOAA NESDIS Ctr Satellite Applicat & Res STAR, 5830 Univ Res Court, College Pk, MD 20740 USA; 6.Univ Maryland, ESS CICS, College Pk, MD 20740 USA
推荐引用方式 GB/T 7714	Wehbe, Youssef,Temimi, Marouane,Weston, Michael,et al. Analysis of an extreme weather event in a hyper-arid region using WRF-Hydro coupling, station, and satellite data[J],2019,19(6):1129-1149.
APA	Wehbe, Youssef.,Temimi, Marouane.,Weston, Michael.,Chaouch, Naira.,Branch, Oliver.,...&Al Mandous, Abdulla.(2019).Analysis of an extreme weather event in a hyper-arid region using WRF-Hydro coupling, station, and satellite data.NATURAL HAZARDS AND EARTH SYSTEM SCIENCES,19(6),1129-1149.
MLA	Wehbe, Youssef,et al."Analysis of an extreme weather event in a hyper-arid region using WRF-Hydro coupling, station, and satellite data".NATURAL HAZARDS AND EARTH SYSTEM SCIENCES 19.6(2019):1129-1149.