We have developed a set of software tools to facilitate easy access to polar radar sounder data used to understand the internal structure of Earth's ice sheets. The software tools, written primarily in Python, are designed to make research workflows scalable and reproducible, enabling large-scale data-driven science. In the backend, we use the SpatioTemporal Asset Catalog (STAC) standard and built on top of many excellent libraries in the Python data ecosystem.

This work is in partnership with the multi-institution Open Polar Radar (OPR) organization. OPR was initially funded by the National Science Foundation to provide unified data processing and access for over 3.5 million line-km of radar sounder data from the University of Kansas Center for Remote Sensing and Integrated Systems (CReSIS), University of Texas Institute for Geophysics (UTIG), Lamont-Doherty Earth Observatory (LDEO), University of Washington, British Antarctic Survey (BAS), and Alfred Wegener Institute (AWI). Membership in OPR is open and organizations working with or producing radar sounder data are encouraged to join the effort.