Open Polar Server (OPS)—An Open Source Infrastructure for the Cryosphere Community

• Main Authors: Liu, Weibo, Purdon, Kyle, Stafford, Trey, Paden, John, Li, Xingong
• Format: Text
• Language: unknown
• Published: DigitalCommons@University of Nebraska - Lincoln 2016
• Subjects: CReSIS; data management; spatial data infrastructure; geoportal; interpolation; Earth Sciences; Environmental Indicators and Impact Assessment; Environmental Monitoring; Environmental Sciences; Natural Resource Economics; Other Earth Sciences; Water Resource Management; Antarctic; Arctic; Antarc*; Center for Remote Sensing of Ice Sheets (CReSIS); Climate change
• Online Access: https://digitalcommons.unl.edu/calmitpapers/11; https://digitalcommons.unl.edu/context/calmitpapers/article/1012/viewcontent/LiuInternationalJGeoInformation2016OpenPolarServer.pdf

The Center for Remote Sensing of Ice Sheets (CReSIS) at the University of Kansas has collected approximately 1000 terabytes (TB) of radar depth sounding data over the Arctic and Antarctic ice sheets since 1993 in an effort to map the thickness of the ice sheets and ultimately understand the impacts of climate change and sea level rise. In addition to data collection, the storage, management, and public distribution of the dataset are also primary roles of the CReSIS. The Open Polar Server (OPS) project developed a free and open source infrastructure to store, manage, analyze, and distribute the data collected by CReSIS in an effort to replace its current data storage and distribution approach. The OPS infrastructure includes a spatial database management system (DBMS), map and web server, JavaScript geoportal, and MATLAB application programming interface (API) for the inclusion of data created by the cryosphere community. Open source software including GeoServer, PostgreSQL, PostGIS, OpenLayers, ExtJS, GeoEXT and others are used to build a system that modernizes the CReSIS data distribution for the entire cryosphere community and creates a flexible platform for future development. Usability analysis demonstrates the OPS infrastructure provides an improved end user experience. In addition, interpolating glacier topography is provided as an application example of the system.