Retrieval of microscale wind and temperature fields from single- and dual-Doppler lidar data

Rob K. Newsom, David Ligon, Ronald Calhoun, Rob Heap, Edward Cregan, Marko Princevac

Research output: Contribution to journalArticlepeer-review

53 Scopus citations


Dual-Doppler lidar observations are used to assess the accuracy of single-Doppler retrievals of microscale wind and temperature fields in a shear-driven convective boundary layer. The retrieval algorithm, which is based on four-dimensional variational data assimilation, is applied by using dual- and single-Doppler lidar data that are acquired during the Joint Urban 2003 field experiment. The velocity field that was retrieved using single-Doppler data is compared directly with radial velocities that were measured by a second noncollocated lidar. Dual-Doppler retrievals are also performed and then compared with the single-Doppler retrieval. The linear correlation coefficient and rms deviation between the single-Doppler retrieval and the observations from the second lidar are found to be 0.94 and 1.2 m s-1, respectively. The high correlation is mainly the result of good agreement in the mean vertical structure as observed by the two lidars. Comparisons between the single- and dual-Doppler retrieval indicate that the single-Doppler retrieval underestimates the magnitude of fluctuations in the crossbeam direction. Vertical profiles of horizontally averaged correlations between the single- and dual-Doppler retrievals also show a marginal correlation (0.4-0.8) between one of the horizontal velocity components. Again, this suggests that the retrieval algorithm has difficulty estimating the crossbeam component from single-Doppler data.

Original languageEnglish (US)
Pages (from-to)1324-1344
Number of pages21
JournalJournal of Applied Meteorology
Issue number9
StatePublished - Sep 2005

ASJC Scopus subject areas

  • Atmospheric Science


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