Progress in doppler radar data assimilation

11th Conference on Mesoscale Processes and the 32nd Conference on Radar Meteorology

Volumn , Issue , 2005, Pages 823-828

  Xu, Qin ^a   Nai, Kang ^b   Wei, Li ^b   Zhang, Pengfei ^b   Wang, Leilei ^b   Lu, Huijuan ^b   Zhao, Qingyun ^c  

^a NATIONAL SEVERE STORMS LABORATORY   (United States)

^b UNIVERSITY OF OKLAHOMA   (United States)

^c NAVAL RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33745270764     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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2. Gong, J., L. Wang, and Q. Xu, 2003: A three-step dealiasing method for Doppler velocity data quality control. J. Atmos. & Oceanic Technology, 20, 1738-1748.
3. Gu, W., H. Gu, and Q. Xu, 2001: Impact of single-Doppler radar observations on numerical prediction of 7 May 1995 Oklahoma squall line. Fifth Symposium on Integrated Observing Systems, 14-19 January 2001, Albuquerque, New Mexico, Amer. Meteor. Soc., 139-142.
4. Hodur, R. M., 1997: The Naval Research Laboratory's coupled ocean/atmosphere mesoscale prediction system (COAMPS). Mon. Wea. Rev., 125, 1414-1430.
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7. Xu, Q., and J. Gong, 2003: Background error covariance functions for Doppler radial-wind analysis. Quart. J. Roy. Meteor. Soc., 129, 1703-1720.
8. Xu, Q., H. Gu and W. Gu, 2001a: A variational method for Doppler radar data assimilation. Preprints, Fifth Symposium on Integrated Observing Systems, 14-19 January 2001, Albuquerque, New Mexico, Amer. Meteor. Soc., 118-121.
9. Xu, Q., H. Gu, and S. Yang, 2001b: Simple adjoint method for three-dimensional wind retrievals from single-Doppler radar. Quart. J. Roy. Meteor. Soc., 127, 1053-1067.
10. Xu, Q., L. Wang, and K. Nai, 2003: Error covariance estimation for Doppler wind data assimilation. Preprints, 31th Conference on Radar Meteorology, 6-12 August 2003, Seattle, Washington, Amer. Meteor. Soc., 108-109.
11. Xu, Q., and L. Wei, 2001: Estimation of three-dimensional error covariances. Part II: Analysis of wind innovation vectors. Mon. Wea. Rev., 129, 2939-2954.