Predicting Typhoon Morakot’s Catastrophic Rainfall with a Convection-Permitting Mesoscale Ensemble SystemSource: Weather and Forecasting:;2010:;volume( 025 ):;issue: 006::page 1816DOI: 10.1175/2010WAF2222414.1Publisher: American Meteorological Society
Abstract: This study examines the prediction and predictability of the recent catastrophic rainfall and flooding event over Taiwan induced by Typhoon Morakot (2009) with a state-of-the-art numerical weather prediction model. A high-resolution convection-permitting mesoscale ensemble, initialized with analysis and flow-dependent perturbations obtained from a real-time global ensemble data assimilation system, is found to be able to predict this record-breaking rainfall event, producing probability forecasts potentially valuable to the emergency management decision makers and the general public. Since all the advanced modeling and data assimilation techniques used here are readily available for real-time operational implementation provided sufficient computing resources are made available, this study demonstrates the potential and need of using ensemble-based analysis and forecasting, along with enhanced computing, in predicting extreme weather events like Typhoon Morakot at operational centers.
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contributor author | Zhang, Fuqing | |
contributor author | Weng, Yonghui | |
contributor author | Kuo, Ying-Hwa | |
contributor author | Whitaker, Jeffery S. | |
contributor author | Xie, Baoguo | |
date accessioned | 2017-06-09T16:38:47Z | |
date available | 2017-06-09T16:38:47Z | |
date copyright | 2010/12/01 | |
date issued | 2010 | |
identifier issn | 0882-8156 | |
identifier other | ams-71502.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4213402 | |
description abstract | This study examines the prediction and predictability of the recent catastrophic rainfall and flooding event over Taiwan induced by Typhoon Morakot (2009) with a state-of-the-art numerical weather prediction model. A high-resolution convection-permitting mesoscale ensemble, initialized with analysis and flow-dependent perturbations obtained from a real-time global ensemble data assimilation system, is found to be able to predict this record-breaking rainfall event, producing probability forecasts potentially valuable to the emergency management decision makers and the general public. Since all the advanced modeling and data assimilation techniques used here are readily available for real-time operational implementation provided sufficient computing resources are made available, this study demonstrates the potential and need of using ensemble-based analysis and forecasting, along with enhanced computing, in predicting extreme weather events like Typhoon Morakot at operational centers. | |
publisher | American Meteorological Society | |
title | Predicting Typhoon Morakot’s Catastrophic Rainfall with a Convection-Permitting Mesoscale Ensemble System | |
type | Journal Paper | |
journal volume | 25 | |
journal issue | 6 | |
journal title | Weather and Forecasting | |
identifier doi | 10.1175/2010WAF2222414.1 | |
journal fristpage | 1816 | |
journal lastpage | 1825 | |
tree | Weather and Forecasting:;2010:;volume( 025 ):;issue: 006 | |
contenttype | Fulltext |