Data-Informed Prediction of State is the Key to Space Weather: The Significance and Value of Forecasts, Nowcasts, Hindcasts, and Climatology
Whitepaper #396 in the Decadal Survey for Solar and Space Physics (Heliophysics) 2024-2033. Main topics: space weather applications. Additional topics: other space weather.
by Drew L. Turner, T. Paul O’Brien, Justin Likar, Jenn Gannon, Tom Berger, Seth G. Claudepierre, Ian Cohen, Mark Engebretson, Joe Fennell, Christine Gabrielse, Alex Boyd, Lindsay Goodwin, Janet Green, Michael Hartinger, Devanshu Jha, Adam Kellerman, Irina Kitiashvili, Larisza Krista, Justin Lee, Romina Nikoukar, Antti Pulkkinen, Allyssa Riley, Adam Schultz, Andy Smith, Tom Sotirelis, Sasha Ukhorskiy, Lisa Upton, Julie Vievering, and Angelos Vourlidas
Published onJul 31, 2023
Data-Informed Prediction of State is the Key to Space Weather: The Significance and Value of Forecasts, Nowcasts, Hindcasts, and Climatology
Currently, much attention is dedicated to SWx forecasting, but here, we argue that nowcasting, hindcasting, and climatological modeling are all of equally significant importance as forecasting. All combined, the true priority of improved SWx risk mitigation is prediction of the relevant state conditions at any point in time: past, present, future, and probabilistic.
Creative Commons Attribution 4.0 International License (CC-BY 4.0)
