Arid
DOI10.1175/JHM-D-20-0083.1
Assessing the Impact of Changes in Land Surface Conditions on WRF Predictions in Arid Regions
Temimi, Marouane; Fonseca, Ricardo; Nelli, Narendra; Weston, Michael; Thota, Mohan; Valappil, Vineeth; Branch, Oliver; Wizemann, Hans-Dieter; Kondapalli, Niranjan Kumar; Wehbe, Youssef; Al Hosary, Taha; Shalaby, Abdeltawab; Al Shamsi, Noor; Al Naqbi, Hajer
通讯作者Temimi, M (corresponding author), Stevens Inst Technol, Dept Civil Environm & Ocean Engn, Hoboken, NJ 07030 USA. ; Temimi, M (corresponding author), Khalifa Univ Sci & Technol, Abu Dhabi, U Arab Emirates.
来源期刊JOURNAL OF HYDROMETEOROLOGY
ISSN1525-755X
EISSN1525-7541
出版年2020
卷号21期号:12页码:2829-2853
英文摘要A thorough evaluation of the Weather Research and Forecasting (WRF) Model is conducted over the United Arab Emirates, for the period September 2017-August 2018. Two simulations are performed: one with the default model settings (control run), and another one (experiment) with an improved representation of soil texture and land use land cover (LULC). The model predictions are evaluated against observations at 35 weather stations, radiosonde profiles at the coastal Abu Dhabi International Airport, and surface fluxes from eddy-covariance measurements at the inland city of Al Ain. It is found that WRF's cold temperature bias, also present in the forcing data and seen almost exclusively at night, is reduced when the surface and soil properties are updated, by as much as 3.5K. This arises from the expansion of the urban areas, and the replacement of loamy regions with sand, which has a higher thermal inertia. However, the model continues to overestimate the strength of the near-surface wind at all stations and seasons, typically by 0.5-1.5ms(-1). It is concluded that the albedo of barren/sparsely vegetated regions in WRF (0.380) is higher than that inferred from eddy-covariance observations (0.340), which can also explain the referred cold bias. At the Abu Dhabi site, even though soil texture and LULC are not changed, there is a small but positive effect on the predicted vertical profiles of temperature, humidity, and horizontal wind speed, mostly between 950 and 750 hPa, possibly because of differences in vertical mixing.
英文关键词Forecasting Land surface model Regional models
类型Article
语种英语
开放获取类型Bronze
收录类别SCI-E
WOS记录号WOS:000617314400007
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/349019
作者单位[Temimi, Marouane] Stevens Inst Technol, Dept Civil Environm & Ocean Engn, Hoboken, NJ 07030 USA; [Temimi, Marouane; Fonseca, Ricardo; Nelli, Narendra; Weston, Michael; Thota, Mohan; Valappil, Vineeth; Wehbe, Youssef] Khalifa Univ Sci & Technol, Abu Dhabi, U Arab Emirates; [Thota, Mohan; Kondapalli, Niranjan Kumar] Natl Ctr Medium Range Weather Forecasting, Noida, India; [Branch, Oliver; Wizemann, Hans-Dieter] Univ Hohenheim, Inst Phys & Meteorol, Stuttgart, Germany; [Wehbe, Youssef; Al Hosary, Taha; Shalaby, Abdeltawab; Al Shamsi, Noor; Al Naqbi, Hajer] Natl Ctr Meteorol, Abu Dhabi, U Arab Emirates
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Temimi, Marouane,Fonseca, Ricardo,Nelli, Narendra,et al. Assessing the Impact of Changes in Land Surface Conditions on WRF Predictions in Arid Regions[J],2020,21(12):2829-2853.
APA Temimi, Marouane.,Fonseca, Ricardo.,Nelli, Narendra.,Weston, Michael.,Thota, Mohan.,...&Al Naqbi, Hajer.(2020).Assessing the Impact of Changes in Land Surface Conditions on WRF Predictions in Arid Regions.JOURNAL OF HYDROMETEOROLOGY,21(12),2829-2853.
MLA Temimi, Marouane,et al."Assessing the Impact of Changes in Land Surface Conditions on WRF Predictions in Arid Regions".JOURNAL OF HYDROMETEOROLOGY 21.12(2020):2829-2853.
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