Raman Lidar Data Product Suite Provides Best-Estimate Data

 
Published: 14 October 2011
Example of plots produced by the Raman lidar best-estimate VAP for April 3, 2011. Panels (a), (b), and (c) show time-height cross-sections of relative humidity, aerosol backscatter coefficient, and aerosol depolarization. A time series of aerosol optical depth is shown in panel (d). Click to view full-size image.

Science data products derived from the Raman lidar (RL) are produced using a suite of five value-added product (VAP) processes. These VAP processes, jointly known as RLPROF, are run together to produce estimates of:

  • water vapor mixing ratio
  • relative humidity
  • aerosol scattering ratio
  • aerosol volume backscatter coefficient
  • aerosol extinction
  • aerosol linear depolarization ratio
  • cloud mask
  • aerosol optical depth
  • precipitable water vapor.

Once the suite of RLPROF VAP processes produce these primary measurements, the RLPROF best-estimate (RLPROF-BE) product is created and provides all the listed measurements in one datastream for the Southern Great Plains Central Facility and Tropical Western Pacific Darwin site. In addition to these primary science variables, these VAPs provide error estimates and quality checks.

RLPROF was developed in an effort to simplify the output and consolidate the primary variables from the other RL VAPs into a single data file. As such, the best-estimate VAP process represents the final stage in the Raman lidar data processing chain. The output contains only the primary science variables and associated data quality parameters, while excluding much of the ancillary data contained in the other RL VAPs.

More information on RLPROF is available at the VAP web page. To access these data, log in to the Data Archive. (Go here to request an account.)