SM31A-4180:
Towards a National Space Weather Predictive Capability
Wednesday, 17 December 2014
Kurt L Lindstrom1, Nicola Justine Fox2, Michael Ryschkewitsch2, Brian J Anderson2, Jesper W Gjerloev3, Viacheslav G Merkin4, Michael A Kelly1, Ethan S Miller2, Mikhail I. Sitnov1, Aleksandr Y Ukhorskiy5, Robert E Erlandson6, Robin J Barnes1, Larry J Paxton7, Thomas Sotirelis6, Grant Stephens6 and Joseph Comberiate5, (1)JHU/APL, Laurel, MD, United States, (2)Johns Hopkins Univ Applied Phy, Laurel, MD, United States, (3)Johns Hopkins University - Applied Physics Laboratory, Laurel, MD, United States, (4)The Johns Hopkins University, Laurel, MD, United States, (5)Applied Physics Laboratory Johns Hopkins, Laurel, MD, United States, (6)Johns Hopkins Univ, Laurel, MD, United States, (7)The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States
Abstract:
National needs in the area of space weather informational and predictive tools are growing rapidly. Adverse conditions in the space environment can cause disruption of satellite operations, communications, navigation, and electric power distribution grids, leading to a variety of socio-economic losses and impacts on our security. Future space exploration and most modern human endeavors will require major advances in physical understanding and improved transition of space research to operations. At present, only a small fraction of the latest research and development results from NASA, NOAA, NSF and DoD investments are being used to improve space weather forecasting and to develop operational tools. The power of modern research and space weather model development needs to be better utilized to enable comprehensive, timely, and accurate operational space weather tools. The mere production of space weather information is not sufficient to address the needs of those who are affected by space weather. A coordinated effort is required to support research-to-applications transition efforts and to develop the tools required those who rely on this information. In this presentation we will review datasets, tools and models that have resulted from research by scientists at JHU/APL, and examine how they could be applied to support space weather applications in coordination with other community assets and capabilities.
