COSPAR 2019

SWx TREC: A Community Resource for Integrative Space Weather Data Access and Mission, Model, and Algorithm R2O Promotion

Christopher Pankratz Thomas Berger Thomas Baltzer James Craft Greg Lucas Daniel Baker Jennifer Knuth
Laboratory for Atmospheric and Space Physics (LASP), University of Colorado, Boulder, Colorado, USA

The Space Weather Technology, Research and Education Center (SWx TREC) is an emerging national center of excellence in cross-disciplinary research, technology, innovation, and education, intended to facilitate evolving space weather research and forecasting needs. Improving our understanding and prediction of space weather requires coupled Research and Operations. SWx TREC is positioned to aid in breakthrough research advances and innovative mission technologies that are directly tied to the needs of the operational forecasting enterprise to ensure closure of the Research to Operations (R2O) and Operations to Research (O2R) loop. SWx-TREC is pursuing new research missions, applications and data for use in operational and research environments, improving available data pipelines. Advancement in the fundamental scientific understanding of space weather processes is also vital, requiring that researchers have convenient and effective access to a wide variety of data sets and models from multiple sources. The space weather research community, as with many scientific communities, must access data from dispersed and often uncoordinated data repositories to acquire the data necessary for the analysis and modeling efforts that advance our understanding of solar influences and space physics on the Earth’s environment. The University of Colorado (CU) is a leading institution in both producing data products and advancing the state of scientific understanding of space weather processes, is well positioned to address many of these issues. SWx TREC will serve many of these needs, including 1) implementation of an interoperable data portal intended to more effectively serve the needs of the Space Weather research community and 2) facilitating the advancement of new models and algorithms into production/operational use through a community-accessible testbed environment. In this presentation, we will outline the motivating factors for effective space weather data access and modeling support, present a testbed environment for supporting model and algorithm testing/incubation needs, and introduce a new data portal to meet the data management and access needs of the disparate communities who both produce and require space weather data and information.

Christopher Pankratz
Christopher Pankratz








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