Using Gradient Boosting Regression to Improve Ambient Solar Wind Model Predictions-Reference-Cited by-同舟云学术

Using Gradient Boosting Regression to Improve Ambient Solar Wind Model Predictions

Published:2021-05 Issue:5 Volume:19 Page:
ISSN:1542-7390
Container-title:Space Weather
language:en
Short-container-title:Space Weather

Author:

Bailey R. L.¹²^ORCID,Reiss M. A.²³^ORCID,Arge C. N.⁴,Möstl C.²³^ORCID,Henney C. J.⁵^ORCID,Owens M. J.⁶^ORCID,Amerstorfer U. V.²^ORCID,Amerstorfer T.²^ORCID,Weiss A. J.²⁷^ORCID,Hinterreiter J.²⁷^ORCID

Affiliation:

1. Conrad Observatory Zentralanstalt für Meteorologie und Geodynamik Vienna Austria

2. Space Research Institute Austrian Academy of Sciences Graz Austria

3. Institute of Geodesy Graz University of Technology Graz Austria

4. Heliophysics Science Division NASA Goddard Space Flight Center Greenbelt MD USA

5. Air Force Research Laboratory Space Vehicles Directorate Kirtland OH USA

6. Space and Atmospheric Electricity Group Department of Meteorology University of Reading Reading UK

7. Institute of Physics University of Graz Graz Austria

Funder

Austrian Science Fund

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020SW002673

Reference72 articles.

1. Predictive Capabilities and Limitations of Stream Interaction Region Observations at Different Solar Longitudes

2. Magnetic fields and the structure of the solar corona

3. A “breathing” source surface for cycles 23 and 24

4. Stream structure and coronal sources of the solar wind during the May 12th, 1997 CME

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