Meetings > PI / Science Team Meeting > Posters

SatCORPS Satellite-Derived Cloud and Radiation Properties Derived for ARM Domains

 
Poster PDF

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.
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.
Baojuan Shan — Science Systems and Applications, Inc.
Douglas A. Spangenberg — Science Systems and Applications, Inc.
Moguo Sun — Stony Brook University
Szedung Sun-Mack — SAIC, Inc.
Qing Z Trepte — Science Systems Application, Inc.
Christopher Rogers Yost — Science Systems and Applications, Inc.
Konstantin Khlopenkov — Canada Centre for Remote Sensing
David Painemal — NASA LaRC /SSAI

Category

General topics – Clouds

Description

The ground-based cloud and radiative property datasets collected at various sites within the ARM Climate Research Facility program provide valuable, albeit localized, climate monitoring. Satellite coverage can enhance these records by providing information about the large-scale regions encompassing the ARM sites. Cloud and radiative parameters are routinely derived from geostationary and polar-orbiting satellites viewing the various ARM domains, via the SatCORPS (Satellite Cloud Observations and Radiative Property retrieval System) suite of algorithms operating at NASA Langley Research Center. Near-realtime SatCORPS retrievals are provided on a preliminary basis as needed, such as for recent AMF deployments including LASIC, MICRE, MARCUS and ACE-ENA. Historical reprocessing of datasets is also provided when improvements to input data sources and the algorithm become available (such as for ongoing efforts with SGP, NSA, and Azores). A number of improvements to the SatCORPS algorithm will be highlighted, including better cloud-detection mask and sensitivity to aerosol for METEOSAT-10 (affecting Azores domain), improved phase detection for GOES-x and METEOSAT-10 (affecting SGP and Azores), and better overall algorithm consistency across the various satellites. A VZA-based improvement to the satellite-derived skin temperature is now standard. New capabilities based on GOES-16 monitoring over the SGP will be demonstrated, as well as similar observation covering Macquarie Island via Himawari-8. Recently updated procedures for TOA LW and SW flux derivation will be shown to be more consistent with CERES-observed fluxes, and better capture the diurnal cycle. Ongoing work to better account for cloud vertical structure within SatCORPS, including improvements in retrievals of geometric thickness, ice and liquid water path, multi-layer and nocturnal cloud properties is described. Availability of recently reprocessed datasets, including SGP and Azores, is detailed. SatCORPS product validation will also be shown.

Supporting URL

https://satcorps.larc.nasa.gov