Improving Solar Wind Forecasting Using Data Assimilation

Improving Solar Wind Forecasting Using Data Assimilation

Abstract Data Assimilation (DA) has enabled huge improvements in the skill of terrestrial operational weather forecasting. In this study, we use a variational DA scheme with a computationally efficient solar wind model and in situ observations from STEREO‐A, STEREO‐B and ACE. This scheme enables sol...

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Bibliographic Details
Main Authors: Matthew Lang, Jake Witherington, Harriet Turner, Mathew J. Owens, Pete Riley
Format: Article
Language:English
Published: Wiley 2021-07-01
Series:Space Weather
Subjects:
solar wind
data assimilation
space weather
forecasting
corotation
Online Access:https://doi.org/10.1029/2020SW002698
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https://doi.org/10.1029/2020SW002698

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