SatCORPS Satellite-Derived Cloud and Radiation Properties: Overview of ARM Domain Coverage

 

Authors

Mandana Thieman — Science Systems and Applications, Inc.
William L. Smith — NASA - Langley Research Center
Patrick Minnis — NASA - Langley Research Center
Kris M Bedka — NASA
Sarah Bedka — Science Systems and Applications. Inc./NASA - LRC
Fu-Lung Chang — Science Systems and Applications, Inc.
Thad L. Chee — Science Systems and Applications, Inc.
David Robert Doelling — Science Systems and Applications, Inc.
Cecilia Fleeger — SSAI Inc
Michele Nordeen — Science Systems and Applications. Inc./NASA - LRC
David Painemal — NASA LaRC /SSAI
Rabindra Palikonda — Science Systems and Applications. Inc./NASA - LRC
Benjamin Raymond Scarino — Science Systems and Applications, Inc.
Baojuan Shan — Science Systems and Applications, Inc.
Douglas A. Spangenberg — Science Systems and Applications, Inc.
Moguo Sun — Stony Brook University
Qing Z Trepte — Science Systems Application, Inc.
Christopher Rogers Yost — Science Systems and Applications, Inc.

Category

General topics – Clouds

Description

The ARM User Facility program is a valuable source of ground-based cloud and radiative property records, collected over various fixed and mobile facility sites. These localized measurements can be enhanced by satellite observations over the surrounding regions. Cloud and radiative parameters are routinely derived from geostationary and polar-orbiting satellites viewing multiple ARM sites, via the NASA/Langley Research Center SatCORPS (Satellite Cloud Observations and Radiative Property retrieval System) suite of algorithms. SatCORPS retrievals are provided as needed, such as in near-realtime for recent AMF deployments including MARCUS and ACE-ENA- and also by historical reprocessing of datasets, as improvements to input data sources and the algorithm become available (such as for ongoing efforts with SGP, ENA, and NSA). Improvements to the SatCORPS algorithm implemented in the previous year have been incorporated in the reprocessing of datasets over several ARM sites. Validation of these reprocessed datasets with data from ARM instruments will be shown. Improved capabilities such as GOES-WEST coverage from the new GOES-17 will be highlighted, including higher resolution and additional channels. Along with GOES-16, GOES-17 will allow for improved cloud products with an additional angular view of the SGP; it will also allow for improved retrievals over snow due to the 1.6 um channel, which will be useful for monitoring the NSA. New results covering the Southern Ocean for MARCUS, via the spectrally similar Himawari-8, will be demonstrated. TOA SW and LW flux derivations based on normalizations with CERES Aqua will be highlighted. Availability of recently reprocessed datasets, including SGP, ENA, GO-AMAZON and MARCUS is detailed.