1. Lidar-Based Microphysical Retrievals During M-PACE Gijs de Boer Edwin Eloranta The University of Wisconsin - Madison ARM CPMWG Meeting, October 31, 2006

2. Overview Period A ARM CPMWG Meeting, October 31, 2006

3. Overview Period B ARM CPMWG Meeting, October 31, 2006

4. Combined Retrievals ARM CPMWG Meeting, October 31, 2006 Donovan and Van Lammeren (2001)

5. Combined Retrievals ARM CPMWG Meeting, October 31, 2006

6. Combined Retrievals Comparison with Citation ARM CPMWG Meeting, October 31, 2006 Citation data provided by Greg McFarquhar and Gong Zhang (U. Illinois)

7. Intercomparison Measurements 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 ARM CPMWG Meeting, October 31, 2006

8. Intercomparison Variables 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 ARM CPMWG Meeting, October 31, 2006

9. Intercomparison Variables ARM CPMWG Meeting, October 31, 2006

10. Summary 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 ARM CPMWG Meeting, October 31, 2006