GeospaceLAB:Python package for managing and visualizing data in space physics

• Main Authors: Cai, L. (Lei), Aikio, A. (Anita), Kullen, A. (Anita), Deng, Y. (Yue), Zhang, Y. (Yongliang), Zhang, S.-R. (Shun-Rong), Virtanen, I. (Ilkka), Vanhamäki, H. (Heikki)
• Format: Article in Journal/Newspaper
• Language: English
• Published: Frontiers Media 2022
• Subjects: Python; aurora; data management; magnetosphere-ionosphere-thermosphere coupling; solar wind; space physics; space weather; Omni; EISCAT
• Online Access: http://urn.fi/urn:nbn:fi-fe2022121471359

Abstract In the space physics community, processing and combining observational and modeling data from various sources is a demanding task because they often have different formats and use different coordinate systems. The Python package GeospaceLAB has been developed to provide a unified, standardi...