Near-Real-Time Satellite Cloud Products for Icing Detection and Aviation Weather over the USA 2003-01-2097
A set of physically based retrieval algorithms has been developed to derive from multispectral satellite imagery a variety of cloud properties that can be used to diagnose icing conditions when upper-level clouds are absent. The algorithms are being applied in near-real time to the Geostationary Operational Environmental Satellite (GOES) data over Florida, the Southern Great Plains, and the midwestern USA. The products are available in image and digital formats on the world-wide web. The analysis system is being upgraded to analyze GOES data over the CONUS. Validation, 24-hour processing, and operational issues are discussed.
Citation: Minnis, P., Smith, W., Nguyen, L., Heck, P. et al., "Near-Real-Time Satellite Cloud Products for Icing Detection and Aviation Weather over the USA," SAE Technical Paper 2003-01-2097, 2003, https://doi.org/10.4271/2003-01-2097. Download Citation
Author(s):
Patrick Minnis, William L. Smith, Louis Nguyen, Patrick Heck, Mandana M. Khaiyer
Affiliated:
NASA Langley Research Center, AS&M, Inc.
