DOI: 10.1016/j.atmosres.2017.11.028
Scopus记录号: 2-s2.0-85038213893
论文题名: Prediction of heavy rainfall over Chennai Metropolitan City, Tamil Nadu, India: Impact of microphysical parameterization schemes
作者: Singh K.S. ; Bonthu S. ; Purvaja R. ; Robin R.S. ; Kannan B.A.M. ; Ramesh R.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 202 起始页码: 219
结束页码: 234
语种: 英语
英文关键词: Chennai
; Heavy rainfall
; Horizontal resolution
; Microphysics
; WRF-ARW
Scopus关键词: Boundary layers
; Disaster prevention
; Disasters
; Forecasting
; Parameterization
; Weather forecasting
; Chennai
; Heavy rainfall
; Horizontal resolution
; Microphysics
; WRF-ARW
; Rain
; cloud microphysics
; convective system
; disaster management
; global perspective
; mesoscale meteorology
; metropolitan area
; parameterization
; precipitation intensity
; prediction
; rainfall
; weather forecasting
; Chennai
; India
; Tamil Nadu
英文摘要: This study attempts to investigate the real-time prediction of a heavy rainfall event over the Chennai Metropolitan City, Tamil Nadu, India that occurred on 01 December 2015 using Advanced Research Weather Research and Forecasting (WRF-ARW) model. The study evaluates the impact of six microphysical (Lin, WSM6, Goddard, Thompson, Morrison and WDM6) parameterization schemes of the model on prediction of heavy rainfall event. In addition, model sensitivity has also been evaluated with six Planetary Boundary Layer (PBL) and two Land Surface Model (LSM) schemes. Model forecast was carried out using nested domain and the impact of model horizontal grid resolutions were assessed at 9 km, 6 km and 3 km. Analysis of the synoptic features using National Center for Environmental Prediction Global Forecast System (NCEP-GFS) analysis data revealed strong upper-level divergence and high moisture content at lower level were favorable for the occurrence of heavy rainfall event over the northeast coast of Tamil Nadu. The study signified that forecasted rainfall was more sensitive to the microphysics and PBL schemes compared to the LSM schemes. The model provided better forecast of the heavy rainfall event using the logical combination of Goddard microphysics, YSU PBL and Noah LSM schemes, and it was mostly attributed to timely initiation and development of the convective system. The forecast with different horizontal resolutions using cumulus parameterization indicated that the rainfall prediction was not well represented at 9 km and 6 km. The forecast with 3 km horizontal resolution provided better prediction in terms of timely initiation and development of the event. The study highlights that forecast of heavy rainfall events using a high-resolution mesoscale model with suitable representations of physical parameterization schemes are useful for disaster management and planning to minimize the potential loss of life and property. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108982
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: National Centre for Sustainable Coastal Management, Ministry of Environment, Forest and Climate Change, Anna University Campus, Chennai, 600025, India; Regional Meteorological Centre, India Meteorological Department, Chennai, 600006, India
Recommended Citation:
Singh K.S.,Bonthu S.,Purvaja R.,et al. Prediction of heavy rainfall over Chennai Metropolitan City, Tamil Nadu, India: Impact of microphysical parameterization schemes[J]. Atmospheric Research,2018-01-01,202