Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2019.104771 |
Assimilation of radar radial velocity data with the WRF hybrid 4DEnVar system for the prediction of hurricane Ike (2008) | |
Shen, Feifei1,5; Xu, Dongmei1,5; Min, Jinzhong1; Chu, Zhigang1; Li, Xin2,3,4 | |
2020-04-01 | |
发表期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2020 |
卷号 | 234 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | Four dimensional ensemble-variation data assimilation (4DEnVar) is the method that considers the flow dependent background error covariance (BEC) and asynchronous observations throughout the assimilation window, which avoids the maintenance of the adjoint model. The impacts of assimilation of radial velocity (Vr) data using hybrid-4DEnVar for the analyses and forecasts of hurricane Ike are investigated using Weather Research and Forecasting and Data Assimilation model (WRFDA). 4DEnVar is coupled with Ensemble Transform Kalman Filter (ETKF) by updating the ensemble mean by the hybrid scheme and the ensemble perturbations are updated by the ETKF. Single observation tests for typical Jet cast and tropical cyclone (TC) case are conducted before the real hurricane Ike (2008) case. It is found that the analysis increment moves downstream by the end of the assimilation window. The linear propagation represented by the 4DEnVar method is close to the full nonlinear model integration. For the real IKE case, it is found that positive and spiral temperature increments, best track and intensity forecast are found in 4DEnVar experiment, indicating a more realistic thermal structure of hurricane Ike. 3DEnVar and 3DVar-FGAT are limited due to the lack of the BEC description spatially and temporally. 3DVar experiment produces much smoother and weaker increments with cold temperature increments at the hurricane vortex center at lower levels. |
英文关键词 | Radial velocity data WRF data assimilation 4DEnVar Numerical simulation |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000513182600025 |
WOS关键词 | VARIATIONAL DATA ASSIMILATION ; ENSEMBLE KALMAN FILTER ; GENERAL-CIRCULATION MODEL ; TROPICAL PACIFIC-OCEAN ; OSSE-BASED EVALUATION ; PART I ; FORMULATION ; SCHEME ; NWP |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/278836 |
专题 | 地球科学 |
作者单位 | 1.Nanjing Univ Informat Sci & Technol, CIC FEMD, Joint Int Res Lab Climate & Environm Change ILCEC, Minist Educ KLME,Key Lab Meteorol Disaster, Nanjing 210044, Peoples R China; 2.CMA, Key Lab Transportat Meteorol, Nanjing, Peoples R China; 3.Jiangsu Res Inst Meteorol Sci, Nanjing, Peoples R China; 4.Nanjing Joint Ctr Atmospher Res, Nanjing, Peoples R China; 5.Heavy Rain & Drought Flood Disasters Plateau & Ba, Chengdu, Peoples R China |
推荐引用方式 GB/T 7714 | Shen, Feifei,Xu, Dongmei,Min, Jinzhong,et al. Assimilation of radar radial velocity data with the WRF hybrid 4DEnVar system for the prediction of hurricane Ike (2008)[J]. ATMOSPHERIC RESEARCH,2020,234. |
APA | Shen, Feifei,Xu, Dongmei,Min, Jinzhong,Chu, Zhigang,&Li, Xin.(2020).Assimilation of radar radial velocity data with the WRF hybrid 4DEnVar system for the prediction of hurricane Ike (2008).ATMOSPHERIC RESEARCH,234. |
MLA | Shen, Feifei,et al."Assimilation of radar radial velocity data with the WRF hybrid 4DEnVar system for the prediction of hurricane Ike (2008)".ATMOSPHERIC RESEARCH 234(2020). |
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