SACRADV3D3C

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sacradv3d3c > SACR Advance 3-D Cartesian Cloud CoverVAP Type(s) > Baseline • Evaluation

SACR-ADV-3D3C remaps the outputs of SACRCORR for cross-wind range-height indicator (CW-RHI) scans to a Cartesian grid and reports reflectivity CFAD and best-estimate domain-averaged cloud fraction.

CW-RHI scans consist of multiple consecutive horizon-to-horizon scans (elevations ~10-170°) (Kollias et al., 2014). The CW-RHI scan strategy is typically continuously operated for 25-55 min at the ARM sites.

The major inputs of this VAP are generated by the SACRCORR VAP. They include: Reflectivity corrected for gas attenuation, Unfolded mean Doppler velocity, spectral width, and linear depolarization ratio, all of which are free of noise, insects, and second-trip echo and all of which are in native radar polar coordinates. An additional input is the horizontal wind speed from the nearest (in time) sounding.

These 2D grid slices are used to estimate a reflectivity CFAD. This CFAD contains information for each height about the distribution of reflectivity observed for the duration of the scan strategy (e.g., 19 minutes). A profile of maximum observable domain is reported for user guidance. For completeness, the time coordinate is converted to distance using the sounding horizontal wind speed to provide an estimate of x-y-z cloud fraction.

The 2D grids are also used as an input to a 3D gridding technique. This technique interpolates or extrapolates the 2D grids in time.

The final output is a single NetCDF file containing all aforementioned corrected radar moments remapped on a 3D Cartesian grid, the SACR reflectivity CFAD, a profile of best-estimate cloud fraction, a profile of maximum observable x-domain size (xmax), a profile time-to-horizontal-distance estimate and a profile of minimum observable reflectivity (dBZmin).

Purpose

SACR-ADV-3D3C remaps the outputs of SACRCORR for cross-wind range-height indicator (CW-RHI) scans to a Cartesian grid and reports reflectivity CFAD and best estimate domain averaged cloud fraction.

Measurements

Locations

  • Fixed
  • AMF1
  • AMF2
  • AMF3

Data Details

Developed By Meng Wang | Scott Giangrande | Eugene Clothiaux | Katia Lamer | Tami Toto | Mariko Oue
Contact Meng Wang
Resource(s) Data Directory
ReadMe
Data format netcdf
Site SGP
Content time range 1 August 2012 - 31 August 2012
Attribute accuracy No formal attribute accuracy tests were conducted.
Positional accuracy No formal positional accuracy tests were conducted
Data Consistency and Completeness Data set is considered complete for the information presented, as described in the abstract.Users are advised to read the rest of the metadata record carefully for additional details.
Access Restriction No access constraints are associated with this data.
Use Restriction No use constraints are associated with this data.
File naming convention KA band SACR radar, 3D Cartesian grid
Citations Kollias, L Jo, P Borque, A Tatarevic, K Lamer, N Bharadway, K Widener, K Johnson, and E Clotheaux. 2014. ???Scanning ARM cloud radars. Part II: Data quality control and processing.??? Journal of Atmospheric and Oceanic Technology 31, 583-598, doi:10.1175/JTECH-D-13-00045.1.

Kollias, P, N Bharadwaj, K Widener, I Jo, and K Johnson. 2014. ???Scanning ARM cloud radars. Part I: Operational sampling strategies.??? Journal of Atmospheric and Oceanic Technology 31, 569-582, doi:10.1175/JTECH-D-13-00044.1.

Lamer, K, A Tatarevic, I Jo, and P Kollias. ???Evaluation of gridded scanning ARM cloud radar reflectivity observations and vertical doppler velocity retrievals.??? Atmospheric Measurement Techniques 7, 1089-1103, doi:10.5194/amt-7-1089-2014, 2014.

Oue, M, P Kollias, KW North, A Tatarevic, S Endo, A Vogelmann and W Gustafson. 2016. ???Estimation of cloud fraction profile in shallow convection using a scanning cloud radar.??? Geophysical Research Letters 43: 10,998-11,006, doi:10.1002/2016GL070776.