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A Use Case: the Operational Ground-Based Retrieval Evaluation for Clouds (OGRE-CLOUDS) Framework

 
Poster PDF

Authors

Meng Wang — Brookhaven National Laboratory
Michael Jensen — Brookhaven National Laboratory
Pavlos Kollias — Stony Brook University
Damao Zhang — Pacific Northwest National Laboratory
Timothy R. Shippert — Pacific Northwest National Laboratory
Laura Dian Riihimaki — CIRES | NOAA ESRL GML
Jennifer M. Comstock — Pacific Northwest National Laboratory

Category

Microphysics (cloud, aerosol and/or precipitation)

Description

The OGRE-CLOUDS framework effort aims to: 1) produce vertically resolved cloud and precipitation properties (with accompanying uncertainties) in the column above an ARM site under all cloud conditions with 2) the ability to implement new, conditional (i.e., applicable under specified cloud conditions) retrieval techniques and 3) a diagnostic package for comparison and evaluation of the new retrieval. The first phase integrated the MICROBASE algorithm into the ARM Data Integrator (ADI), and added quantification of uncertainties for the cloud microphysical quantities. This poster presents a use case from the second phase of development of the OGRE-CLOUDS framework, implementing a radar-lidar retrieval technique for ice microphysics, and evaluation using broad-band radiative closure. Steps including the production of a transient radiatively important parameters best estimate (RIPBE) product using the new MICROBASEPLUS product, calculation of radiative flux profiles using the Broadband Radiative Hating Rate Project (BBHRP) codes and evaluation of the retrieval products through radiative closure.