DOI: 10.1002/2016GL069446
论文题名: Update of upper level turbulence forecast by reducing unphysical components of topography in the numerical weather prediction model
作者: Park S.-H. ; Kim J.-H. ; Sharman R.D. ; Klemp J.B.
刊名: Geophysical Research Letters
ISSN: 0094-8847
EISSN: 1944-8578
出版年: 2016
卷: 43, 期: 14 起始页码: 7718
结束页码: 7724
语种: 英语
英文关键词: aviation turbulence
; mountain wave
; terrain smoothing
; Weather Research and Forecasting (WRF) model
Scopus关键词: Atmospheric turbulence
; Forecasting
; Landforms
; Turbulence
; Atmospheric conditions
; Control simulation
; Mountain wave
; Mountainous regions
; Numerical weather prediction models
; Terrain smoothing
; Turbulence forecasts
; Weather research and forecasting models
; Weather forecasting
英文摘要: On 2 November 2015, unrealistically large areas of light-or-stronger turbulence were predicted by the WRF-RAP (Weather Research and Forecast Rapid Refresh)-based operational turbulence forecast system over the western U.S. mountainous regions, which were not supported by available observations. These areas are reduced by applying additional terrain averaging, which damps out the unphysical components of small-scale (~2Δx) energy aloft induced by unfiltered topography in the initialization of the WRF model. First, a control simulation with the same design of the WRF-RAP model shows that the large-scale atmospheric conditions are well simulated but predict strong turbulence over the western mountainous region. Four experiments with different levels of additional terrain smoothing are applied in the initialization of the model integrations, which significantly reduce spurious mountain-wave-like features, leading to better turbulence forecasts more consistent with the observed data. ©2016. The Authors. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979261623&doi=10.1002%2f2016GL069446&partnerID=40&md5=c4d3c442c233cf9ebfbafe1a2ef4f6dc
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/9810
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Mesoscale and Microscale Meteorology Laboratory, National Center for Atmospheric Research, Boulder, CO, United States
Recommended Citation:
Park S.-H.,Kim J.-H.,Sharman R.D.,et al. Update of upper level turbulence forecast by reducing unphysical components of topography in the numerical weather prediction model[J]. Geophysical Research Letters,2016-01-01,43(14).