兰州大学机构库
Simulation of Wind Speed Based on Different Driving Datasets and Parameterization Schemes Near Dunhuang Wind Farms in Northwest of China
Zhang, Tiejun1,2; Zhao, Cailing1,2; Gong, Chongshui2; Pu, ZhaoXia3
2020-06
Source PublicationATMOSPHERE
Volume11Issue:6
AbstractIn this study, we evaluate the impacts of different datasets (e.g., NCEP global forecast system (GFS) and ERA5) that are used to derive the initial and boundary conditions, various planetary parameterization boundary layer (PBL) schemes and radiation parameterization schemes on wind speed simulations over wind farms near Dunhuang in Northwest of China. The mesoscale community Weather Research and Forecasting (WRF) model is employed to simulate the wind speeds in March of 2014. The sensitivity of numerical simulations to different PBL schemes, including the Yonsei University (YSU), the Asymmetric Convective Model (ACM2) and the Mellor-Yamada-Janjic (MYJ) scheme are examined. Besides, simulations with different radiation parameterization schemes, including the Rapid Radiative Transfer Model for general circulation model (GCM) applications (RRTMG) and the Fu-Liou-Gu radiative transfer scheme (FLG), are compared. Based on hourly observation data from three national basic meteorological observing stations and an anemometer tower in Dunhuang, the simulation results are evaluated. Results show that, using the GFS data as the initial data, the simulation error of 10-m wind speed is rather smaller under the combination of the YSU and FLG. When using the ERA5 data as the initial data, the error of the 2-m temperature simulation is smaller, and it is also less than that of the 10-m wind speed simulation. The simulation results show significant differences at different altitudes. The relative error of wind speed is larger at higher altitude. In the vertical direction, the wind speed is smaller at a lower height and so is the simulation error. In terms of wind speed from the anemometer tower, the error of the wind speed is related to the magnitude of the observed wind speed. Therefore, according to specific conditions of the simulated area, selecting an appropriate combination of initial data and parameterization schemes can effectively reduce the errors of simulated wind speed.
Keyworddriving field parameterization scheme wind speed WRF
DOI10.3390/atmos11060647
Indexed BySCIE
Language英语
Funding ProjectNational Key Research and Development Program of China[2018YFC1506804][2018YFC1506802] ; Northwest Regional Numerical Forecasting Innovation Team Fund[GSQXCXTD-2020-02] ; National Natural Science Foundation of China[41675015][41805079]
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000553488600001
PublisherMDPI
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttps://ir.lzu.edu.cn/handle/262010/441777
Collection兰州大学
Corresponding AuthorZhao, Cailing
Affiliation1.Lanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China
2.China Meteorol Adm, Key Lab Arid Climat Change & Disaster Reduct, Key Lab Arid Climat Change & Reducing Disaster Ga, Inst Arid Meteorol,Northwestern Reg Ctr Numer Wea, Lanzhou 73000, Peoples R China
3.Univ Utah, Dept Atmospher Sci, Salt Lake City, UT 84112 USA
First Author AffilicationCollege of Atmospheric Sciences
Corresponding Author AffilicationCollege of Atmospheric Sciences
Recommended Citation
GB/T 7714
Zhang, Tiejun,Zhao, Cailing,Gong, Chongshui,et al. Simulation of Wind Speed Based on Different Driving Datasets and Parameterization Schemes Near Dunhuang Wind Farms in Northwest of China[J]. ATMOSPHERE,2020,11(6).
APA Zhang, Tiejun,Zhao, Cailing,Gong, Chongshui,&Pu, ZhaoXia.(2020).Simulation of Wind Speed Based on Different Driving Datasets and Parameterization Schemes Near Dunhuang Wind Farms in Northwest of China.ATMOSPHERE,11(6).
MLA Zhang, Tiejun,et al."Simulation of Wind Speed Based on Different Driving Datasets and Parameterization Schemes Near Dunhuang Wind Farms in Northwest of China".ATMOSPHERE 11.6(2020).
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