利用高分辨率MM5模式预测孟加拉国高影响降雨事件

Ahasan, M. Chowdhury, D. Quadir
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引用次数: 5

摘要

本文利用第五代PSU/NCAR中尺度模式(MM5)对2007年6月11日和2004年9月14日的两次历史降雨事件进行了预测,对孟加拉国夏季风的高影响降雨事件进行了预测。利用anthess - kuo积云参数化方案(CPS)和MRF行星边界层(PBL),在45、15和5 km水平分辨率的两向三嵌套域上运行了该模型。孟加拉国是本研究的主要重点地区。因此,将孟加拉国作为5公里水平分辨率的最内层(D3)区域来研究预测降雨的变异性。模型预报降雨量与TRMM 3B42V6和BMD观测降雨量进行比较。MM5模式在强度和结构方面对高影响降雨事件进行了较为现实的预测。提前对第1天(24小时)、第2天(48小时)和第3天(72小时)进行了预测。第1天(24小时)和第2天(48小时)的预测更为准确。随着预测时间的增加,预测结果会变差。对于相对较强的情况(即2007年6月11日),即使预测时间较长(超过第2天(48小时)),预测也很好。在较弱的情况下(即2004年9月14日),特别是在预报的第2天(48小时),预报精度较低。预报可每24小时更新一次,使预报更切合实际。关键词:预测;降雨;高的影响;TRMM;MM5模型DOI: http://dx.doi.org/10.4038/sljp.v12i0.3122斯里兰卡物理杂志,Vol. 12 (2011) 43-58
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Prediction of high impact rainfall events over Bangladesh using high resolution MM5 model
An attempt has been made to predict the high impact rainfall events of summer monsoon over Bangladesh using the Fifth-Generation PSU/NCAR Mesoscale Model (MM5) conducting two historical rainfall events on 11 June 2007 and 14 September 2004.The model was run on two way triple-nested domains at 45, 15, 5 km horizontal resolutions using Anthes-Kuo cumulus parameterization schemes (CPS) with MRF planetary boundary layer (PBL). Bangladesh is the main focus area in this study. Thus Bangladesh is taken as inner most (D3) domain with 5 km horizontal resolution to study the variability of predicted rainfall. The model predicted rainfall was compared with TRMM 3B42V6 and BMD observed rainfall. The MM5 model produces realistic prediction of high impact rainfall events in terms of intensity and structure. The predictions have been made for Day-1 (24-h), Day-2 (48-h) and Day-3 (72-h) in advance. The predictions are more accurate for Day-1 (24-h) and Day-2 (48-h). The prediction deteriorates as the prediction time increases. The prediction has been found to be good even for longer prediction time [(more than Day-2 (48-h)] for relatively stronger case (i.e., 11 June 2007). The prediction accuracy is low for relatively weak case (i.e., 14 September 2004) specially over Day-2 (48-h) of prediction. The prediction may be updated in every 24 hours which would provide more realistic prediction. Keywords: Prediction; Rainfall; High Impact; TRMM; MM5 Model DOI: http://dx.doi.org/10.4038/sljp.v12i0.3122 Sri Lankan Journal of Physics, Vol. 12 (2011) 43-58
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