文献类型：期刊文献

英文题名：Data assimilation of adaptive observation and application for typhoon forecasts over the Western North Pacific

作者：Chen, Siqi[1,2,4];Zhang, Yu[2,3,4];Xu, Jianjun[2,4,5];Shen, Wenqi[2,3,4];Ye, Guiling[2,3,4];Lu, Zebin[2,3,4]

机构：[1]Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing, Peoples R China;[2]Guangdong Ocean Univ, South China Sea Inst Marine Meteorol, CMA GDOU Joint Lab Marine Meteorol, Zhanjiang, Peoples R China;[3]Guangdong Ocean Univ, Coll Ocean & Meteorol, Zhanjiang, Peoples R China;[4]Guangdong Ocean Univ, Shenzhen Inst, Shenzhen, Peoples R China;[5]Guangdong Ocean Univ, South China Sea Inst Marine Meteorol, Zhanjiang, Peoples R China

年份：2022

卷号：276

外文期刊名：ATMOSPHERIC RESEARCH

收录：SCI-EXPANDED(收录号：WOS:000812942100002)、、EI(收录号：20222412213423)、Scopus(收录号：2-s2.0-85131458951)、WOS

基金：This study was jointly supported by the Chinese Nature Science Foundation (42130605 and 41705140), the Guangdong Basic and Applied Basic Science Research Foundation (2019B1515120018, 2019A1515111009), and the Shenzhen Nature Science Foundation (JCYJ20210324131810029). We thank the Elsevier Premium Language Editing Services for editing this manuscript.

语种：英文

外文关键词：Data assimilation; Adaptive observation; ETS; Typhoon forecasting; Sensitive area

外文摘要：In this study, we added the post-processing module of the Ensemble Transform Sensitivity (ETS) to identify regions sensitive to adaptive observations of different variables at different levels for typhoon forecasts. We selected five cases between 2015 and 2020 over the Western North Pacific (WNP) using 50 ensemble forecasts from the European Center provided by the THORPEX Interactive Grand Global Ensemble (TIGGE) portal. Furthermore, intercomparison experiments were performed to explore the impact of adaptive observational data assimilation with conventional observations and Himawari-8 data over the sensitive (SEN), non-sensitive (NOSEN), and all studied regions (ALL) on typhoon forecasts using the Gridpoint Statistical Interpolation (GSI) assimilation system of the National Centers for Environmental Prediction (NCEP) of United States. The results show that the assimilation of less observational data in the SEN areas can achieve the forecast effect of assimilation in ALL regions, the intensity error can be reduced by approximately 15%, and the track error is reduced in some cases. Finally, detailed analysis of the circulation field and flux perspectives for Typhoon Lekima, which occurred in August 2019 over the WNP, confirmed our conclusion. At 1800 UTC on August 8, the data assimilation was performed over the SEN, NOSEN, and ALL areas. The initial circulation field, in which the vorticity increased in the southwest of the typhoon and decreased in the southeast, benefited the westward movement of the typhoon. The 18 h forecast indicated that the circulation in the SEN area assimilation experiment showed a negative vorticity increase in the southwest side of the typhoon and positive potential temperature as well as water vapor forecast differences on its north side, which contrasted with the results obtained in the NOSEN and ALL experiments. This provided favorable weather conditions for the typhoon to change direction and move northward. Targeted observation experiments investigating Typhoon Lekima indicated that assimilating observations of sensitive areas greatly improves typhoon forecasting and assimilation efficiency. However, the ALL experiment yielded the best forecast among the three cases.