Medium‐Range Forecasting of Solar Wind: A Case Study of Building Regression Model With Space Weather Forecast Testbed (SWFT)

Medium‐Range Forecasting of Solar Wind: A Case Study of Building Regression Model With Space Weather Forecast Testbed (SWFT)

Abstract The Space Weather Forecast Testbed (SWFT) is developed by a team of space weather scientists and mathematicians at the University of Southern California (USC) and Jet Propulsion Laboratory (JPL) to foster the creation of models for space weather forecast by exploration of existing historic...

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Bibliographic Details
Main Authors: Chunming Wang, I. Gary Rosen, Bruce T. Tsurutani, Olga P. Verkhoglyadova, Xing Meng, Anthony J. Mannucci
Format: Article
Language:English
Published: Wiley 2020-12-01
Series:Space Weather
Subjects:
forecasting
space weather
machine learning
solar wind
Online Access:https://doi.org/10.1029/2019SW002433
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