Start Submission Become a Reviewer

Reading: Bayesian perspective of the unconventional approach for assimilating aliased radar radial ve...

Download

A- A+
Alt. Display

Original Research Papers

Bayesian perspective of the unconventional approach for assimilating aliased radar radial velocities

Author:

Qin Xu

NOAA/National Severe Storms Laboratory, Norman, OK 73072, US
X close

Abstract

The global minimization problem for directly assimilating aliased radial velocities is derived in terms of Bayesian estimation by folding the domain of the original Gaussian non-aliased observation probability density function (pdf) into the Nyquist interval. By truncating the folded tails of the observation pdf, the observation term in the costfunction recovers the aliased observation term formulated previously by an unconventional approach. This establishes the theoretical basis for the unconventional approach and quantifies the involved approximation. The alias-robust radar wind analysis developed based on the unconventional approach is also revisited from the Bayesian perspective.

How to Cite: Xu, Q., 2009. Bayesian perspective of the unconventional approach for assimilating aliased radar radial velocities. Tellus A: Dynamic Meteorology and Oceanography, 61(5), pp.631–634. DOI: http://doi.org/10.1111/j.1600-0870.2009.00413.x
  Published on 01 Jan 2009
 Accepted on 12 Aug 2009            Submitted on 21 May 2009

References

  1. Eilts , M. D. and Smith , S. D. 1990 . Efficient dealiasing of Doppler veloc-ities using local environment constraints . J. Atmos. Oceanic TechnoL 7 , 118 – 128 .  

  2. Gao , J. and Droegemeier , K. K. 2004 . A variational technique for dealias-ing Doppler radial velocity data . J. AppL Meteor 43 , 934 – 940 .  

  3. Gao , J. , Droegemeier , K. K. , Gong , J. and Xu , Q. 2004 . A method for retrieving mean horizontal wind profiles from single-Doppler radar observations contaminated by aliasing. Mon. Wea. Rev . 132 , 1399 - 1409 .  

  4. Gong , J. , Wang , L. and Xu , Q. 2003 . A three-step dealiasing method for Doppler velocity data quality control . J. Atmos. Oceanic TechnoL 20 , 1738– 1748 .  

  5. Jazwinski , A. H. 1970 . Stochastic Processes and Filtering Theory . Aca-demic Press , New York , 376 .  

  6. Parrish , D. and Derber , J. 1992 . The National Meteorological Center’s spectral statistical analysis system. Mon. Wea. Re v . 120 , 1747 – 1763 .  

  7. Tabary , P. , Scialom , G. and Germann , U. 2001 . Real-time retrieval of the wind from aliased velocities measured by Doppler radars . J. Atmos. Oceanic TechnoL 18 , 875 – 882 .  

  8. Tabary , P. and Petitdidier , M. 2002 . Application of a Bayesian wind pro-file retrieval technique to radar data collected in the Alpine southern upslope region and comparison with upstream wind profiler measure-ments . J. Atmos. Oceanic TechnoL 19 , 875 – 887 .  

  9. Xu , Q. and Gong , J. 2003. Background error covariance functions for Doppler radial-wind analysis . Quart. J. Roy. Meteor Soc . 129 , 1703– 1720 .  

  10. Xu , Q. , Liu , S. and Xue , M. 2006 . Background error covariance functions for vector wind analyses using Doppler radar radial-velocity observations . Quart. J. Roy. Meteor Soc . 132 , 2887 – 2904 .  

  11. Xu , Q. , Nai , K. , Wei , L. and Zhao , Q. 2009 . An unconventional ap-proach for assimilating aliased radar radial velocities. Tellus 61A , https://doi.org/10.1111/j.1600-0870.2009.00412.x .  

comments powered by Disqus