Assimilation of HY-2A scatterometer sea surface wind data in a 3DVAR data assimilation system—A case study of Typhoon Bolaven

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• 作者：Yi Yu ; Weimin Zhang ; Zhongyuan Wu ; Xiaofeng Yang ; Xiaoqun Cao…
• 关键词：HY ; 2A ; scatterometer ; data assimilation ; sea surface wind ; 3DVAR
• 刊名：Frontiers of Earth Science
• 出版年：2015
• 出版时间：June 2015
• 年：2015
• 卷：9
• 期：2
• 页码：192-201
• 全文大小：1,388 KB
• 参考文献：Andrews P L, Bell R S (1998). Optimizing the United Kingdom Meteorological Office data assimilation for ERS-1 scatterometer winds. Mon Weather Rev, 126(3): 736-46View Article
  Barker D M, Huang W, Guo Y R, Bourgeois A J, Xiao Q N (2004). A three-dimensional variational data assimilation system for MM5: Implementation and initial results. Mon Weather Rev, 132(4): 897-14View Article
  de Chiara G, Janssen P, Hersbach H, Bormann N (2012). Assimilation of scatterometer winds at ECMWF. ECMWF, Shinfield Park, Reading, RG2 9AX, United Kingdom, 1-
  Dong X, Xu K, Liu H, Jiang J (2004). The radar altimeter and scatterometer of China’s HY-2 satellite. In: Geoscience and Remote Sensing Symposium, 2004. IGARSS-4. Proceedings. 2004 IEEE International. IEEE, 2004, (3): 1703-706View Article
  Ebuchi N, Graber H C, Caruso M J (2002). Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data. J Atmos Ocean Technol, 19(12): 2049-062View Article
  Gu J F, Xiao Q N, Kuo Y H, Barker D M, Xue J S, Ma X X (2005). Assimilation and simulation of typhoon Rusa (2002) using the WRF system. Adv Atmos Sci, 22(3): 415-27View Article
  Hilburn K A, Wentz F J, Smith D K, Ashcroft P D (2006). Correcting active scatterometer data for the effects of rain using passive radiometer data. J Appl Meteorol Climatol, 45(3): 382-98View Article
  Hong S Y, Lim J O J (2006). The WRF single-moment 6-class microphysics scheme (WSM6). J Korean Meteor Soc, 42(2): 129-51
  Ide K, Courtier P, Ghil M, Lorenc A C (1997). Unified notation for data assimilation: Operational, sequential, and variational. J Meteorol Soc Jpn, 75(1B): 181-89
  Katsaros K B, Forde E B, Chang P, Liu W T (2001). QuikSCAT’s sea winds facilitates early identification of tropical depressions in 1999 hurricane season. Geophys Res Lett, 28(6): 1043-046View Article
  Katsaros K B, Vachon P W, Liu W T, Black P G (2002). Microwave remote sensing of tropical cyclones from space. J Oceanogr, 58(1): 137-51View Article
  Leidner S M, Isaksen L, Hoffman R N (2003). Impact of NSCAT Winds on Tropical Cyclones in the ECMWF 4DVAR Assimilation System. Mon Weather Rev, 131(1): 3-6View Article
  Li X F, Zhang J A, Yang X F, Pichel W G, DeMaria M, Long D, Li Z (2013). Tropical Cyclone Morphology from Spaceborne Synthetic Aperture Radar. Bull Am Meteorol Soc, 94(2): 215-30View Article
  Lin M S (2008). The contribution of global ocean observation of continuity of HY-2 satellite. In: National Satellite Oceanic Application Service. SOA, China: 1-2
  Liu W T (2002). Progress in Scatterometer Application. J Oceanogr, 58(1): 121-36View Article
  Lorenc A C (1986). Analysis method for numerical weather prediction. Q J R Meteorol Soc, 112(474): 1177-194View Article
  Parrish D F, Derber J C (1992). The National Meteorological Center’s spectral statistical-interpolation analysis system. Mon Weather Rev, 120(8): 1747-763View Article
  Prasad V S, Gupta A, Rajagopal E N, Basu S (2013). Impact of OSCAT surface wind data on T574L64 assimilation and forecasting system -a study involving tropical cyclone Thane. Curr Sci, 104(5): 627-31
  Rogers R, Chen S, Tenerelli J, Willoughby H (2003). A numerical study of the impact of vertical shear on the distribution of rainfall in Hurricane Bonnie (1998). Mon Weather Rev, 131(8): 1577-599View Article
  Rufenach C (1998). Comparison of four ERS-1 scatterometer wind retrieval algorithms with buoy measurements. J Atmos Ocean Technol, 15(1): 304-13View Article
  Shin H H, Hong S Y (2011). Intercomparison of planetary boundary-layer parametrizations in the WRF model for a single day from CASES-99. Boundary-Layer Meteorol, 139(2): 261-81View Article
  Singh K P, Gray A L, Hawkins R K, O’Neil R A (1986). The influence of surface oil on C-and Ku-band ocean backscatter. IEEE Trans Geosci Rem Sens, GE-24(5): 738-44View Article
  Skamarock W C, Klemp J B, Dudhia J (2001). Prototypes for the WRF (Weather Research and Forecasting) model. In: Preprints, Ninth Conf. Mesoscale Processes, J11–J15, Amer. Meteorol. Soc., Fort Lauderdale, FL
  Thomas B R, Kent E C, Swail V R (2005). Methods to homogenize wind speeds from ships and buoys. Int J Climatol, 25(7): 979-95View Article
  Tomassini M, LeMeur D, Saunders R W (1998). Near-surface satellite wind observations of hurricanes and their impact on ECMWF model analyses and forecasts. Mon Weather Rev, 126(5): 1274-286View Article
  Wang X, Liu L, Shi H, Dong X, Zhu D (2012). In-orbit calibration and performance evaluaiotn of HY-2 scatterometer. In: Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International IEEE: 4614-616View Article
  Willemet J M, Lasserre-Bigorry A (2001). Satellite Data Assimilation: Impact on Tropical Cyclone Forecast
  Yan J H (2004). China’S HY-1A ocean satellite and its applications. In: The Thirteenth Workshop of OMISAR, (2): 1-
  Yang X F, Li X F, Pichel W G, Li Z W (2011). Comparison of Ocean Surface Winds From EN
• 作者单位：Yi Yu (1)
  Weimin Zhang (1)
  Zhongyuan Wu (1)
  Xiaofeng Yang (2)
  Xiaoqun Cao (1)
  Mengbin Zhu (1)
  
  1. National University of Defense Technology, Changsha, 410073, China
  2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China
  
• 刊物主题：Earth Sciences, general;
• 出版者：Springer Berlin Heidelberg
• ISSN：2095-0209

文摘

The scatterometer (SCAT) on-board China’s HY-2A satellite has the capability to provide high resolution wind vector information over the global ocean surface. These wind vector data produced by the HY-2A scatterometer (HY-2A SCAT) are available to the data assimilation system with real-time information of high accuracy. In this paper, two experiments are designed to investigate the impact of HY-2A SCAT data in the three-dimensional variational assimilation system for the Weather Research and Forecast model (WRF 3DVAR). The powerful Typhoon Bolaven, which struck South Korea in August 2012, is selected for this case study. The results clearly demonstrate that HY-2A SCAT data can effectively complement the scarce observations over the ocean surface and improve the prediction of the wind and pressure fields of a typhoon. The case study of Typhoon Bolaven exhibits the significant and positive impact of HY-2A SCAT data on the numerical prediction of the tropical cyclone track.