The Impact of Assimilating Dropwindsonde Data Deployed at Different Sites on Typhoon Track Forecasts
文献类型：期刊论文
| 作者 | Chen, Boyu1; Mu, Mu2; Qin Xiaohao3 |
| 刊名 | MONTHLY WEATHER REVIEW
 |
| 出版日期 | 2013-08-01 |
| 卷号 | 141期号:8页码:2669-2682 |
| 关键词 | Numerical weather prediction forecasting |
| ISSN号 | 0027-0644 |
| 通讯作者 | Qin, XH |
| 中文摘要 | This study investigates the impacts on typhoon track forecasting by the fifth-generation Pennsylvania State University-National Center for Atmospheric Research Mesoscale Model (MM5) and its three-dimensional variational data assimilation (3DVAR) system of assimilating dropwindsonde observational data acquired from different sites. All of the sonde data were obtained between 2004 and 2009 in the typhoon surveillance program Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR). Experiments were conducted to test the model's response to five scenarios involving differing dropwindsonde data inputs: 1) no dropwindsonde data, 2) all available dropwindsonde data, 3) data gathered in sensitive regions identified by the conditional nonlinear optimal perturbation (CNOP) approach, 4) data gathered in sensitive regions identified by the first singular vector (FSV) approach, and 5) several sondes selected at random. The results show that using dropwindsonde data based on CNOP sensitivity can lead to improvements in typhoon track forecasting similar to, and occasionally better than, those achieved by assimilating all of the available data. Both approaches offered greater benefits than the other three alternatives averagely. It is proposed that CNOP provides a suitable approach to determining sensitive regions during adaptive observation of typhoons. Similar results may be obtained if the sensitivity products developed using MM5 are employed in the Weather Research and Forecasting Model (WRF), suggesting that it is applicable to utilize sensitivity produced by MM5 in WRF. |
| 英文摘要 | This study investigates the impacts on typhoon track forecasting by the fifth-generation Pennsylvania State University-National Center for Atmospheric Research Mesoscale Model (MM5) and its three-dimensional variational data assimilation (3DVAR) system of assimilating dropwindsonde observational data acquired from different sites. All of the sonde data were obtained between 2004 and 2009 in the typhoon surveillance program Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR). Experiments were conducted to test the model's response to five scenarios involving differing dropwindsonde data inputs: 1) no dropwindsonde data, 2) all available dropwindsonde data, 3) data gathered in sensitive regions identified by the conditional nonlinear optimal perturbation (CNOP) approach, 4) data gathered in sensitive regions identified by the first singular vector (FSV) approach, and 5) several sondes selected at random. The results show that using dropwindsonde data based on CNOP sensitivity can lead to improvements in typhoon track forecasting similar to, and occasionally better than, those achieved by assimilating all of the available data. Both approaches offered greater benefits than the other three alternatives averagely. It is proposed that CNOP provides a suitable approach to determining sensitive regions during adaptive observation of typhoons. Similar results may be obtained if the sensitivity products developed using MM5 are employed in the Weather Research and Forecasting Model (WRF), suggesting that it is applicable to utilize sensitivity produced by MM5 in WRF. |
| WOS标题词 | Science & Technology ; Physical Sciences |
| 学科主题 | Meteorology & Atmospheric Sciences |
| 类目[WOS] | Meteorology & Atmospheric Sciences |
| 研究领域[WOS] | Meteorology & Atmospheric Sciences |
| 关键词[WOS] | NONLINEAR OPTIMAL PERTURBATIONS ; TROPICAL CYCLONE FORECASTS ; EL-NINO EVENTS ; TARGETED OBSERVATIONS ; SENSITIVE AREAS ; THERMOHALINE CIRCULATION ; SINGULAR VECTORS ; MESOSCALE MODEL ; CNOP METHOD ; PREDICTION |
| 收录类别 | SCI |
| 原文出处 | 10.1175/MWR-D-12-00142.1 |
| 语种 | 英语 |
| WOS记录号 | WOS:000322225200006 |
| 公开日期 | 2014-07-17 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/16439]  |
| 专题 | 海洋研究所_海洋环流与波动重点实验室 |
| 作者单位 | 1.China Meteorol Adm, Natl Meteorol Ctr, Weather Forecasting Off, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Wave, Qingdao, Peoples R China 3.Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Boyu,Mu, Mu,Qin Xiaohao. The Impact of Assimilating Dropwindsonde Data Deployed at Different Sites on Typhoon Track Forecasts[J]. MONTHLY WEATHER REVIEW,2013,141(8):2669-2682. |
| APA | Chen, Boyu,Mu, Mu,&Qin Xiaohao.(2013).The Impact of Assimilating Dropwindsonde Data Deployed at Different Sites on Typhoon Track Forecasts.MONTHLY WEATHER REVIEW,141(8),2669-2682. |
| MLA | Chen, Boyu,et al."The Impact of Assimilating Dropwindsonde Data Deployed at Different Sites on Typhoon Track Forecasts".MONTHLY WEATHER REVIEW 141.8(2013):2669-2682. |
入库方式： OAI收割
来源：海洋研究所
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