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Assessing the influence of assimilating radar-observed radial winds on the simulation of a tropical cyclone
Qian, Yu-Kun; Peng, Shiqiu1,2; Liu, Shun3; Chen, Shumin4; Wang, Ziqian4; Wan, Qilin5; Chen, Zitong5
2018
Source PublicationNATURAL HAZARDS
ISSN0921-030X
Volume94Issue:1Pages:279
AbstractObservations by Doppler weather radar are crucial for nowcasting and short-time forecasting of severe weather events as they bring in refined information of the atmosphere. However, due to the inevitable noises and non-meteorological signals, they cannot be assimilated straightforwardly into a numerical model. In the present study, assimilation of the radial component of wind velocity observed by two Doppler radars is performed in the numerical simulation of Supertyphoon Rammasun (2014) just before its landfall. After several quality-control steps, the radar-observed radial velocities are de-aliased, noise-reduced and assimilated into the model to improve initial conditions for the high-resolution simulation. Results show that only when using global background error covariance matrix can the observational increment be properly assimilated into the model, correcting large-scale background steering flow and yielding a simulated track close to the observed one. However, little improvement is found in simulating the TC core-scale structures by the assimilation of radar velocity as compared to the radar-observed flow, primarily due to the insufficient spatial resolution of the model that may lead to the incorrect representation of the TC core structure and the rejection of some core-region observations during the data assimilation procedure. Moreover, assimilation-induced asymmetries consume a certain portion of mean kinetic energy, preventing the simulated Rammasun from axisymmetrization and thus intensification as compared with the non-assimilated experiment.
DepartmentLTO
KeywordDoppler radar Radial wind Tropical cyclone Data assimilation Numerical simulation
DOI10.1007/s11069-018-3388-7
Citation statistics
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/17570
Collection热带海洋环境国家重点实验室(LTO)
Affiliation1.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Qinzhou Univ, Guangxi Key Lab Marine Disaster Beibu Gulf, Qinzhou, Peoples R China
4.SAIC Natl Ctr Environm Predict, Camp Springs, MD USA
5.Sun Yat Sen Univ, Dept Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou, Guangdong, Peoples R China
6.China Meteorol Adm, Guangzhou Inst Trop & Marine Meteorol, Guangdong Prov Key Lab Reg Numer Weather Predict, Guangzhou, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Qian, Yu-Kun,Peng, Shiqiu,Liu, Shun,et al. Assessing the influence of assimilating radar-observed radial winds on the simulation of a tropical cyclone[J]. NATURAL HAZARDS,2018,94(1):279, 298.
APA Qian, Yu-Kun.,Peng, Shiqiu.,Liu, Shun.,Chen, Shumin.,Wang, Ziqian.,...&Chen, Zitong.(2018).Assessing the influence of assimilating radar-observed radial winds on the simulation of a tropical cyclone.NATURAL HAZARDS,94(1),279.
MLA Qian, Yu-Kun,et al."Assessing the influence of assimilating radar-observed radial winds on the simulation of a tropical cyclone".NATURAL HAZARDS 94.1(2018):279.
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