The Geolocated Information Processing System (GeoIPS) – A Platform for Collaborative Development

There is an ever-growing number of disparate data sources available for advanced environmental exploitation and characterization including: numerical model outputs, rapid refresh next generation geostationary weather satellites, polar orbiting microwave imagers and sounders, radar data, direct observations from ships and weather stations, climatology, elevation and emissivity databases, and many more data types, both static and dynamic. The amount of information that can be gained by combining these datasets in unique ways is far greater than from any single data type alone, but it can be a cumbersome process integrating these datasets of varying size, shape, resolution, formats, and projection.
With the plethora of weather satellites coming online and the added benefit from combining datasets into new products, it is imperative to develop a sustainable, open source, community supported, efficient, modular processing platform which enables future functionality and facilitates near real-time operational capability for all new sensors and products.
GeoIPS®, a Python 3 data processing platform developed by the U.S. Naval Research Laboratory Marine Meteorology Division (NRL-MMD), provides an effective collaborative, easy-to-use processing system that supports development efforts for creating unique products from multiple different data sources. Through collaboration by making the core infrastructure open source, GeoIPS® is able to leverage the expertise and experience of the meteorological community for implementing new functionality that benefits both operational customers and research users alike. Additionally, GeoIPS® provides a streamlined transition pathway for these new products to operational customers.
GeoIPS® delivers key capabilities for efficient environmental data processing, benefiting users across operational and research communities. The collaborative nature of GeoIPS® allows for rapid integration of new sensors, product types, and improvements upon current products.
This talk will provide an overview of the GeoIPS® processing workflow, structure, and current development efforts. We will also highlight some of the existing capabilities in GeoIPS®, such as data fusion, sensor calibration and validation efforts , and current collaboration efforts with NRL-MMD.