Improving the NRL Geolocated Information Processing System (GeoIPS) using Satpy

Abstract

This effort intends to bolster the capabilities and efficiencies in the Naval Research Laboratory Geolocated Information Processing System (GeoIPS) code by applying improvements in the open source Satpy library for reading, manipulating, and writing data from rem ote-sensing earth observing meteorological satellite instruments. Improving the speed and efficiency of parts of the Satpy library c an then be incorporated into GeoIPS. Key areas of Satpy have been identified that could be optimized to provide improved performance for many use cases. These include optimizing generation of geolocation data, adding caching where possible, and allowing for easier extension of Satpy by third-party libraries. Components of Satpy, and its broader framework Pytroll, are already incorporated in th e GeoIPS. The proposed enhancements offer the potential to improve processing efficiency along with improved porting of products to new satellites.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 07, 2021
Source ID
N000142112602

Entities

People

  • Kathy Strabala

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Wisconsin System

Tags

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Parallel and Distributed Computing.
  • Software Engineering.

Technology Areas

  • Space