DOI: 10.1002/2017MS001035
Scopus记录号: 2-s2.0-85036584483
论文题名: Assessing the Resolution Adaptability of the Zhang-McFarlane Cumulus Parameterization With Spatial and Temporal Averaging
作者: Yun Y ; , Fan J ; , Xiao H ; , Zhang G ; J ; , Ghan S ; J ; , Xu K ; -M ; , Ma P ; -L ; , Gustafson W ; I ; , Jr
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 7 起始页码: 2753
结束页码: 2770
语种: 英语
英文关键词: Clouds
; Parameterization
; Weather forecasting
; Convective parameterizations
; Convective precipitation
; High resolution climate model
; Scale awareness
; Zhang-McFarlane cumulus scheme
; Climate models
; assessment method
; atmospheric convection
; climate modeling
; cloud cover
; cumulus
; numerical method
; precipitation (climatology)
; resolution
; spatiotemporal analysis
; weather forecasting
英文摘要: With increasing computational capabilities, cumulus parameterizations that are adaptable to the smaller grid spacing and temporal interval for high-resolution climate model simulations are needed. In this study, we propose a method to improve the resolution adaptability of the Zhang-McFarlane (ZM) scheme, by implementing spatial and temporal averaging to the CAPE tendency. This method allows for a more consistent application of the quasi-equilibrium (QE) hypothesis at high spatial and temporal resolutions. The resolution adaptability of the original ZM scheme, the scheme with spatial averaging, and the scheme with spatiotemporal averaging at 4–32 km grid spacings are assessed using the Weather Research and Forecasting (WRF) model by comparing to cloud resolving model (CRM) simulation results coarse-grained to these same grid spacings. We show the original ZM scheme has poor resolution adaptability, with spatiotemporally averaged subgrid convective transport and convective precipitation increasing significantly as the resolution increases. The spatial averaging method improves the resolution adaptability of the ZM scheme and better conserves total transport and total precipitation. Temporal averaging further improves the resolution adaptability of the scheme. With better constrained (although smoothed) convective transport and precipitation, both the spatial distribution and time series of total precipitation at 4 and 8 km grid spacings are improved with the averaging methods. The results could help develop resolution adaptability for other cumulus parameterizations that are based on the QE assumption. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75704
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, United States; State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China; Scripps Institution of Oceanography, University of California, San Diego, CA, United States; NASA Langley Research Center, Hampton, VA, United States
Recommended Citation:
Yun Y,, Fan J,, Xiao H,et al. Assessing the Resolution Adaptability of the Zhang-McFarlane Cumulus Parameterization With Spatial and Temporal Averaging[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(7)