SSEC is known for its pioneering work with atmospheric motion vectors (AMVs) to track wind patterns by analyzing numerous sets of satellite images. These include AMVs from geostationary (GEO) satellite observations over mid-latitudes and the tropics and AMVs from low earth-orbiting (LEO) satellites over polar regions.

This tool validates operational GOES-R Advanced Baseline Imager (ABI) Legacy Atmospheric profile (LAP) retrieval products, focusing on parameters such as TPW, atmospheric stability indices, temperature/water vapor profiles.

The Community Satellite Processing Package (CSPP) Geo is free open source software developed to support Direct Broadcast (DB) users with processing geostationary satellite data to generate geophysical products.

Scientists will partner with NOAA to accelerate the operational readiness of new observing systems and technology in ways that reduce cost and risk.

From helping to formulate the Advanced Baseline Imager, to developing algorithms and advanced products, SSEC and CIMSS scientists are now using the more timely and detailed observations of GOES-R to enhance our research of Earth’s atmosphere and weather.

Scientists will collaborate with NOAA to prepare for the next generation satellite systems beyond GOES-R, including looking at new orbits, sensors, satellite options, as well as commercial partnerships.

The nation’s current GOES-R series do not have a geostationary (GEO) hyperspectral IR sounder, while several international agencies have or are developing such a capability. The GEO hyperspectral IR sounders will greatly enhance the current forecast capability by providing critical high temporal resolution sounding information.

CIMSS scientists have been investigating imager data fusion with sounder data and products to construct spectral bands and sounding products at imager spatial (and temporal for GEO) resolution.

Scientists will collaborate with Taiwan Central Weather Bureau scientists to develop products for the Himawari satellite based on CIMSS’s product development experience for GOES-16 and -17.

This project fuses low earth orbit and geostationary imager and sounder products to construct radiances and hyperspectral sounder products at improved spatial and temporal resolution for weather monitoring and forecasting operations.

We are estimating wind vectors by applying an optical flow technique to one-minute imagery from GOES-16.