Machine‐Learning Research in the Space Weather Journal: Prospects, Scope, and Limitations
Abstract Manuscripts based on machine‐learning techniques have significantly increased in Space Weather over the past few years. We discuss which manuscripts are within the journal's scope and emphasize that manuscripts focusing purely on a forecasting technique (rather than on understanding an...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-12-01
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| Series: | Space Weather |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2021SW003000 |
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| _version_ | 1841536405826699264 |
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| author | Noé Lugaz Huixin Liu Mike Hapgood Steven Morley |
| author_facet | Noé Lugaz Huixin Liu Mike Hapgood Steven Morley |
| author_sort | Noé Lugaz |
| collection | DOAJ |
| description | Abstract Manuscripts based on machine‐learning techniques have significantly increased in Space Weather over the past few years. We discuss which manuscripts are within the journal's scope and emphasize that manuscripts focusing purely on a forecasting technique (rather than on understanding and forecasting a phenomenon) must correspond to a substantial improvement over the current state‐of‐the‐art techniques and present this comparison. All manuscripts shall include information about data preparation, including splitting of data between training, validation and testing sets. The software and/or algorithms used for to develop the machine‐learning technique should be included in a repository at the time of submission. Comparison with published results using other methods must be presented, and uncertainties of the forecast results must be discussed. |
| format | Article |
| id | doaj-art-6050ad29ae2d4bd8a3a4f2749f92b0fc |
| institution | Kabale University |
| issn | 1542-7390 |
| language | English |
| publishDate | 2021-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Space Weather |
| spelling | doaj-art-6050ad29ae2d4bd8a3a4f2749f92b0fc2025-01-14T16:27:22ZengWileySpace Weather1542-73902021-12-011912n/an/a10.1029/2021SW003000Machine‐Learning Research in the Space Weather Journal: Prospects, Scope, and LimitationsNoé Lugaz0Huixin Liu1Mike Hapgood2Steven Morley3Department of Physics and Astronomy Institute for the Study of Earth, Oceans and Space University of New Hampshire Durham NH USADepartment of Earth and Planetary Science Faculty of Science Kyushu University Fukuoka JapanDepartment of Space Science STFC Rutherford Appleton Laboratory Didcot UKLos Alamos National Laboratory Los Alamos NM USAAbstract Manuscripts based on machine‐learning techniques have significantly increased in Space Weather over the past few years. We discuss which manuscripts are within the journal's scope and emphasize that manuscripts focusing purely on a forecasting technique (rather than on understanding and forecasting a phenomenon) must correspond to a substantial improvement over the current state‐of‐the‐art techniques and present this comparison. All manuscripts shall include information about data preparation, including splitting of data between training, validation and testing sets. The software and/or algorithms used for to develop the machine‐learning technique should be included in a repository at the time of submission. Comparison with published results using other methods must be presented, and uncertainties of the forecast results must be discussed.https://doi.org/10.1029/2021SW003000machine learningeditorialforecasting |
| spellingShingle | Noé Lugaz Huixin Liu Mike Hapgood Steven Morley Machine‐Learning Research in the Space Weather Journal: Prospects, Scope, and Limitations Space Weather machine learning editorial forecasting |
| title | Machine‐Learning Research in the Space Weather Journal: Prospects, Scope, and Limitations |
| title_full | Machine‐Learning Research in the Space Weather Journal: Prospects, Scope, and Limitations |
| title_fullStr | Machine‐Learning Research in the Space Weather Journal: Prospects, Scope, and Limitations |
| title_full_unstemmed | Machine‐Learning Research in the Space Weather Journal: Prospects, Scope, and Limitations |
| title_short | Machine‐Learning Research in the Space Weather Journal: Prospects, Scope, and Limitations |
| title_sort | machine learning research in the space weather journal prospects scope and limitations |
| topic | machine learning editorial forecasting |
| url | https://doi.org/10.1029/2021SW003000 |
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