Fifteenth ARM Science Team Meeting Proceedings, Daytona Beach, Florida, March 14-18, 2005 Overview of Atmospheric Radiation Measurement Satellite Cloud and Radiation Products from Langley Research Center R. Palikonda, M.M. Khaiyer, D.R. Doelling, J.K. Ayers, D.A. Spangenberg, M.L. Nordeen, and D.N. Phan Analytical Services and Materials, Inc. Hampton, Virginia P. Minnis and L. Nguyen National Aeronautics and Space Administration Langley Research Center Climate Science Branch Hampton, Virginia P.W. Heck CIMSS/University of Wisconsin-Madison Madison, Wisconsin R. Arduini, Q.Z. Trepte, and S. Sun-Mack Science Applications International Corporation Hampton, Virginia Introduction The Atmospheric Radiation Measurement (ARM) Program has a wealth of ground-based instrumentation concentrated in three climatically important regions: the Southern Great Plains (SGP), the Tropical Western Pacific (TWP), and the North Slope of Alaska (NSA). These instruments provide important atmospheric monitoring but cover very little of the Earth's surface. Satellite imager data can be used to retrieve a number of cloud and radiative parameters over large-scale regions. With validation from ground-based instrumentation, satellite-derived datasets can be a valuable asset in climatic studies and complement the surface-based measurements. National Aeronautics and Space Administration (NASA) Langley Research Center (LaRC) historically provided Geostationary Operational Environmental Satellite (GOES) satellite-derived cloud and radiation datasets to the ARM Archive, covering various intensive operational period (IOPs), and spanning a period of several years. The original dataset, based on the visible (VIS; 0.65 μm) and infrared (IR; 11 μm), was derived using the Layered Bispectral Threshold Method (LBTM; Minnis and Smith 1998). Later advances in the retrieval methodology have led to the development of an improved algorithm that combines the Visible Infrared Solar-Infrared Split-Window Technique (VISST; Minnis et al. 1995, 1998), Solar-Infrared Infrared Split-Window Technique, and Solar-Infrared Infrared Near- 1