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This presentation delves into lidar-based microphysical retrieval techniques discussed at the ARM Cloud Properties and Modeling Working Group (CPMWG) meeting on October 31, 2006. The focus is on innovative ground-based measurement techniques and their accuracy in obtaining microphysical properties of clouds and precipitation. We explore the effectiveness of various retrieval approaches, inter-comparison measurements, and ongoing validation efforts for improved modeling in atmospheric science. The findings emphasize the importance of accurate data for understanding cloud microphysics and weather phenomena.
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Lidar-Based Microphysical Retrievals During M-PACE Gijs de Boer Edwin Eloranta The University of Wisconsin - Madison ARM CPMWG Meeting, October 31, 2006
OverviewPeriod A ARM CPMWG Meeting, October 31, 2006
OverviewPeriod B ARM CPMWG Meeting, October 31, 2006
Combined Retrievals Donovan and Van Lammeren (2001) ARM CPMWG Meeting, October 31, 2006
Combined Retrievals ARM CPMWG Meeting, October 31, 2006
Combined RetrievalsComparison with Citation Citation data provided by Greg McFarquhar and Gong Zhang (U. Illinois) ARM CPMWG Meeting, October 31, 2006
1)Easily and accurately obtained from ground based (including radiosonde) measurements -- highly accurate 2)Obtained from ground based measurements with some small and well understood/justified assumptions -- reasonably accurate 3) Obtained from ground based measurements with complicated assumptions -- potentially accurate or inaccurate depending on proper implementation of assumptions 4) Not able to be obtained by ground based measurements -- totally inaccurate/unobtainable Intercomparison Measurements ARM CPMWG Meeting, October 31, 2006
PROFILES Pressure Temperature Water vapor mixing ratio RH Cloud water mix. rat. Cloud ice mix. rat. Rain mix. rat. Snow mix. rat. Graupel mix. rat. Cloud fraction Horizontal wind velocity Radiative heating rates Hydrometeor fraction Reff Number density TIME SERIES SST Near surface dry static energy Near surface water vapor mix. rat. Near surface moist static energy Near surface horizontal wind Surface turbulent fluxes Boundary layer depth Surface downwelling radiative fluxes Surface upwelling radiative fluxes TOA radiative fluxes Cloud amount Precipitable water Cloud liquid water path Cloud ice path Vertically integrated rain Vertically integrated snow Surface rain rate Surface snow rate Intercomparison Variables ARM CPMWG Meeting, October 31, 2006
Intercomparison Variables ARM CPMWG Meeting, October 31, 2006
New ground-based measurement/retrieval techniques provide large amounts of continuous data This data ranges from highly accurate to potentially accurate with the correct usage Additional work needs to be completed in the separation of phase in these measurements as well as the proper identification of habit Observational intercomparison is currently being compiled and will provide a large amount of validation for case “B” of the modeling intercomparison Summary ARM CPMWG Meeting, October 31, 2006