Overview of SatCORPS Satellite-Derived Cloud and Radiation Retrieval Coverage of ARM Domains

 
Poster PDF

Authors

Mandana Khaiyer — Science Systems and Applications, Inc. (SSAI)
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.
Michele Nordeen — Science Systems and Applications. Inc./NASA - LRC
Rabindra Palikonda — Science Systems and Applications. Inc./NASA - LRC
Benjamin Raymond Scarino — Science Systems and Applications, Inc.
William L. Smith — NASA - Langley Research Center
Douglas A. Spangenberg — Science Systems and Applications, Inc.

Christopher Rogers Yost — Science Systems and Applications, Inc.

Category

General topics – Clouds

Description

The ARM Climate Research Facility program maintains a number of climatically representative sites, which provide long-term cloud- and climate-monitoring records via ground-based instrumentation. These measurements provide a valuable data record over a localized region, but can be greatly enhanced by use of satellite monitoring. Satellite analyses over larger domains can provide parameters helpful for monitoring climate and evaluating models. The NASA/Langley Cloud group routinely derives such cloud and radiative parameters, from various geostationary and polar-orbiting satellite coverage over ARM sites; the group provides near-realtime analyses covering the 3 ARM fixed sites, as well as the GO-Amazon AMF site. This is accomplished by employing a suite of algorithms including VISST (Visible Infrared Solar Split-Window Technique), SIST (Solar Infrared Split-Window Technique), and SINT (Solar-infrared Infrared Near-Infrared Technique), now collectively called SatCORPS (Satellite Cloud Observations and Radiative Property retrieval System). An overview and catalog of SatCORPS-derived datasets processed for ASR, and available from both the ARM archive and the NASA/Langley Cloud group website, is provided. Specific improvements included in recently added datasets such as GO-Amazon and Azores are highlighted, including an improved cloud-detection mask, as well as improvements in derived Top-of-Atmosphere (TOA) SW albedoes and LW fluxes. New narrowband-to-broadband (NB-BB) fits and corrections for improved TOA fluxes are illustrated, including MTSAT-1/CERES Aqua NB-BB fits for the TWPICE field campaign, as well as new fits covering the Azores region which incorporate GERB TOA fluxes (Geostationery Earth Radiation Budget). Finally, validation of the reprocessed SatCORPS datasets is shown.