DOI: 10.1002/2015MS000461
Scopus记录号: 2-s2.0-84945477816
论文题名: Simulations of cloud-radiation interaction using large-scale forcing derived from the CINDY/DYNAMO northern sounding array
作者: Wang S ; , Sobel A ; H ; , Fridlind A ; , Feng Z ; , Comstock J ; M ; , Minnis P ; , Nordeen M ; L
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2015
卷: 7, 期: 3 起始页码: 1472
结束页码: 1498
语种: 英语
英文关键词: Feedback
; Graphic methods
; Radar
; Reflection
; Uncertainty analysis
; Weather forecasting
; CINDY/DYNAMO
; Cloud-radiation interactions
; Cloud-resolving
; Microphysics
; MJO
; Climatology
; brightness temperature
; cloud microphysics
; cloud radiative forcing
; data set
; histogram
; Madden-Julian oscillation
; radar
; uncertainty analysis
; weather forecasting
; Indian Ocean
; Indian Ocean (Equatorial)
英文摘要: The recently completed CINDY/DYNAMO field campaign observed two Madden-Julian oscillation (MJO) events in the equatorial Indian Ocean from October to December 2011. Prior work has indicated that the moist static energy anomalies in these events grew and were sustained to a significant extent by radiative feedbacks. We present here a study of radiative fluxes and clouds in a set of cloud-resolving simulations of these MJO events. The simulations are driven by the large-scale forcing data set derived from the DYNAMO northern sounding array observations, and carried out in a doubly periodic domain using the Weather Research and Forecasting (WRF) model. Simulated cloud properties and radiative fluxes are compared to those derived from the S-PolKa radar and satellite observations. To accommodate the uncertainty in simulated cloud microphysics, a number of single-moment (1M) and double-moment (2M) microphysical schemes in the WRF model are tested. The 1M schemes tend to underestimate radiative flux anomalies in the active phases of the MJO events, while the 2M schemes perform better, but can overestimate radiative flux anomalies. All the tested microphysics schemes exhibit biases in the shapes of the histograms of radiative fluxes and radar reflectivity. Histograms of radiative fluxes and brightness temperature indicate that radiative biases are not evenly distributed; the most significant bias occurs in rainy areas with OLR less than 150 W/m2 in the 2M schemes. Analysis of simulated radar reflectivities indicates that this radiative flux uncertainty is closely related to the simulated stratiform cloud coverage. Single-moment schemes underestimate stratiform cloudiness by a factor of 2, whereas 2M schemes simulate much more stratiform cloud. © 2015. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75999
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: Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY, United States; Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, United States; Department of Earth and Environmental Sciences, Columbia University, New York, NY, United States; NASA Goddard Institute for Space Studies, New York, NY, United States; Pacific Northwest National Laboratory, Richland, WA, United States; NASA Langley Research Center, Hampton, VA, United States; Science Systems and Applications, Inc., Hampton, VA, United States
Recommended Citation:
Wang S,, Sobel A,H,et al. Simulations of cloud-radiation interaction using large-scale forcing derived from the CINDY/DYNAMO northern sounding array[J]. Journal of Advances in Modeling Earth Systems,2015-01-01,7(3)