DOI: 10.1016/j.atmosres.2017.10.022
Scopus记录号: 2-s2.0-85033581495
论文题名: Sensitivity of WRF-Chem model to land surface schemes: Assessment in a severe dust outbreak episode in the Central Mediterranean (Apulia Region)
作者: Rizza U. ; Miglietta M.M. ; Mangia C. ; Ielpo P. ; Morichetti M. ; Iachini C. ; Virgili S. ; Passerini G.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 201 起始页码: 168
结束页码: 180
语种: 英语
英文关键词: Dust outbreak
; Gocart Aerosol model
; Land Surface Model
; WRF-Chem modeling
Scopus关键词: Aerosols
; Optical properties
; Surface measurement
; Weather forecasting
; Aerosol modeling
; Central Mediterranean
; Dust emission model
; Dust outbreaks
; Land surface modeling
; Land surface models
; Numerical experiments
; Weather research and forecasting models
; Dust
; aerosol
; atmospheric modeling
; dust
; land surface
; soil property
; weather forecasting
; Italy
; Puglia
英文摘要: The Weather Research and Forecasting model with online coupled chemistry (WRF-Chem) is applied to simulate a severe Saharan dust outbreak event that took place over Southern Italy in March 2016. Numerical experiments have been performed applying a physics-based dust emission model, with soil properties generated from three different Land Surface Models, namely Noah, RUC and Noah-MP. The model performance in reproducing the severe desert dust outbreak is analysed using an observational dataset of aerosol and desert dust features that includes optical properties from satellite and ground-based sun-photometers, and in-situ particulate matter mass concentration (PM) data. The results reveal that the combination of the dust emission model with the RUC Land Surface Model significantly over-predicts the emitted mineral dust; on the other side, the combination with Noah or Noah-MP Land Surface Model (LSM) gives better results, especially for the daily averaged PM10. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109003
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: CNR/ISAC, Unité of Lecce, Lecce, Italy; Department of Industrial Engineering and Mathematics Sciences, Università Politecnica delle Marche, Ancona, Italy; CNR/IRSA, Unité of Bari, Bari, Italy
Recommended Citation:
Rizza U.,Miglietta M.M.,Mangia C.,et al. Sensitivity of WRF-Chem model to land surface schemes: Assessment in a severe dust outbreak episode in the Central Mediterranean (Apulia Region)[J]. Atmospheric Research,2018-01-01,201