DOI: 10.1002/2017MS001234
Scopus记录号: 2-s2.0-85043351269
论文题名: Application and Evaluation of an Explicit Prognostic Cloud-Cover Scheme in GRAPES Global Forecast System
作者: Ma Z ; , Liu Q ; , Zhao C ; , Shen X ; , Wang Y ; , Jiang J ; H ; , Li Z ; , Yung Y
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2018
卷: 10, 期: 3 起始页码: 652
结束页码: 667
语种: 英语
英文关键词: Atmospheric radiation
; Clouds
; Condensation
; Forecasting
; Atmospheric radiation measurements
; Cloud cover
; Global forecast systems
; GRAPES_GFS
; Outgoing longwave radiation
; Radiative fluxes
; Top of the atmospheres
; Vertical distributions
; Weather forecasting
; Vitaceae
英文摘要: An explicit prognostic cloud-cover scheme (PROGCS) is implemented into the Global/Regional Assimilation and Prediction System (GRAPES) for global middle-range numerical weather predication system (GRAPES_GFS) to improve the model performance in simulating cloud cover and radiation. Unlike the previous diagnostic cloud-cover scheme (DIAGCS), PROGCS considers the formation and dissipation of cloud cover by physically connecting it to the cumulus convection and large-scale stratiform condensation processes. Our simulation results show that clouds in mid-high latitudes arise mainly from large-scale stratiform condensation processes, while cumulus convection and large-scale condensation processes jointly determine cloud cover in low latitudes. Compared with DIAGCS, PROGCS captures more consistent vertical distributions of cloud cover with the observations from Atmospheric Radiation Measurements (ARM) program at the Southern Great Plains (SGP) site and simulates more realistic diurnal cycle of marine stratocumulus with the ERA-Interim reanalysis data. The low, high, and total cloud covers that are determined via PROGCS appear to be more realistic than those simulated via DIAGCS when both are compared with satellite retrievals though the former maintains slight negative biases. In addition, the simulations of outgoing longwave radiation (OLR) at the top of the atmosphere (TOA) from PROGCS runs have been considerably improved as well, resulting in less biases in radiative heating rates at heights below 850 hPa and above 400 hPa of GRAPES_GFS. Our results indicate that a prognostic method of cloud-cover calculation has significant advantage over the conventional diagnostic one, and it should be adopted in both weather and climate simulation and forecast. © 2018. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75631
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: State Key Laboratory of Earth Surface Processes and Resource Ecology, and College of Global Change and Earth System Science, and Joint Center for Global Change Studies, Beijing Normal University, Beijing, China; National Meteorological Center, Beijing, China; Numerical Weather Prediction Center of China Meteorological Administration, Beijing, China; Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Recommended Citation:
Ma Z,, Liu Q,, Zhao C,et al. Application and Evaluation of an Explicit Prognostic Cloud-Cover Scheme in GRAPES Global Forecast System[J]. Journal of Advances in Modeling Earth Systems,2018-01-01,10(3)