DOI: 10.1002/2015JD023502
论文题名: Macroscopic cloud properties in the WRF NWP model: An assessment using sky camera and ceilometer data
作者: Arbizu-Barrena C. ; Pozo-Vázquez D. ; Ruiz-Arias J.A. ; Tovar-Pescador J.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2015
卷: 120, 期: 19 起始页码: 10297
结束页码: 10312
语种: 英语
英文关键词: ceilometer
; clouds
; high resolution
; parameterizations
; sky camera
; WRF
Scopus关键词: assessment method
; climate prediction
; cloud cover
; instrumentation
; parameterization
; spatial resolution
; vertical distribution
; videography
; weather forecasting
; Andalucia
; Jaen [Andalucia]
; Spain
英文摘要: The ability of six microphysical parameterizations included in the Weather Research and Forecasting (WRF) numerical weather prediction (NWP) model to represent various macroscopic cloud characteristics at multiple spatial and temporal resolutions is investigated. In particular, the model prediction skills of cloud occurrence, cloud base height, and cloud cover are assessed. When it is possible, the results are provided separately for low-, middle-, and high-level clouds. The microphysical parameterizations assessed are WRF single-moment six-class, Thompson, Milbrandt-Yau, Morrison, Stony Brook University, and National Severe Storms Laboratory double moment. The evaluated macroscopic cloud properties are determined based on the model cloud fractions. Two cloud fraction approaches, namely, a binary cloud fraction and a continuous cloud fraction, are investigated. Model cloud cover is determined by overlapping the vertically distributed cloud fractions following three different strategies. The evaluation is conducted based on observations gathered with a ceilometer and a sky camera located in Jaén (southern Spain). The results prove that the reliability of the WRF model mostly depends on the considered cloud parameter, cloud level, and spatiotemporal resolution. In our test bed, it is found that WRF model tends to (i) overpredict the occurrence of high-level clouds irrespectively of the spatial resolution, (ii) underestimate the cloud base height, and (iii) overestimate the cloud cover. Overall, the best cloud estimates are found for finer spatial resolutions (1.3 and 4 km with slight differences between them) and coarser temporal resolutions. The roles of the parameterization choice of the microphysics scheme and the cloud overlapping strategy are, in general, less relevant. ©2015. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62978
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Solar Radiation and Atmosphere Modeling Group (MATRAS), University of Jaén, Jaén, Spain
Recommended Citation:
Arbizu-Barrena C.,Pozo-Vázquez D.,Ruiz-Arias J.A.,et al. Macroscopic cloud properties in the WRF NWP model: An assessment using sky camera and ceilometer data[J]. Journal of Geophysical Research: Atmospheres,2015-01-01,120(19)