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Advances in Meteorology
Volume 2010 (2010), Article ID 797265, 14 pages
http://dx.doi.org/10.1155/2010/797265
Research Article

A 3.5-Dimensional Variational Method for Doppler Radar Data Assimilation and Its Application to Phased-Array Radar Observations

1National Severe Storms Laboratory, Norman, OK 73072, USA
2Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK 73072, USA
3Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Science Application International Corporation, Greenbelt, MD 20771, USA
4National Meteorological Center, China Meteorological Administration, Beijing 100081, China
5Marine Meteorology Division, Naval Research Laboratory, Monterey, CA 93943-5502, USA

Received 1 January 2010; Accepted 3 April 2010

Academic Editor: Zhaoxia Pu

Copyright © 2010 Qin Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Qin Xu, “Measuring information content from observations for data assimilation: spectral formulations and their implications to observational data compression,” Tellus Series A-Dynamic Meteorology And Oceanography, vol. 63, no. 4, pp. 793–804, 2011. View at Publisher · View at Google Scholar
  • Li Wei, and Qin Xu, “Measuring information content from observations for data assimilations: utilities of spectral formulations demonstrated with radar observations,” Tellus Series A-Dynamic Meteorology And Oceanography, vol. 63, no. 5, pp. 1014–1027, 2011. View at Publisher · View at Google Scholar
  • Qin Xu, and Li Wei, “Prognostic Equation for Radar Radial Velocity Derived by Considering Atmospheric Refraction and Earth Curvature,” Journal of The Atmospheric Sciences, vol. 70, no. 10, pp. 3328–3338, 2013. View at Publisher · View at Google Scholar
  • Xiaobin Qiu, Qin Xu, Chongjian Qiu, Kang Nai, and Pengfei Zhang, “Retrieving 3D Wind Field from Phased Array Radar Rapid Scans,” Advances in Meteorology, vol. 2013, pp. 1–16, 2013. View at Publisher · View at Google Scholar
  • Juanzhen Sun, and Hongli Wang, “WRF-ARW Variational Storm-Scale Data Assimilation: Current Capabilities and Future Developments,” Advances in Meteorology, vol. 2013, pp. 1–13, 2013. View at Publisher · View at Google Scholar
  • I. Maiello, R. Ferretti, S. Gentile, M. Montopoli, E. Picciotti, F. S. Marzano, and C. Faccani, “Impact of radar data assimilation for the simulation of a heavy rainfall case in central Italy using WRF-3DVAR,” Atmospheric Measurement Techniques, vol. 7, no. 9, pp. 2919–2935, 2014. View at Publisher · View at Google Scholar