Thank You to Our Peer Reviewers in 2024
Abstract On behalf of AGU, the scientific community, and the editorial team of Journal of Geophysical Research: Machine Learning and Computation, we extend our sincere gratitude to the reviewers who dedicated their time and expertise to evaluating manuscripts for us in 2024. Scientific research can...
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| Format: | Article |
| Language: | English |
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Wiley
2025-03-01
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| Series: | Journal of Geophysical Research: Machine Learning and Computation |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2025JH000681 |
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| _version_ | 1850206712158486528 |
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| author | Enrico Camporeale Raffaele Marino Thomas Berger Yangkang Chen Doris Folini Geoffrey Fox Xiaofeng Li Donald Lucas Steve Tobias Markus Reichstein John Rundle Chaopeng Shen Renata Wentzcovitch Yixin Wen |
| author_facet | Enrico Camporeale Raffaele Marino Thomas Berger Yangkang Chen Doris Folini Geoffrey Fox Xiaofeng Li Donald Lucas Steve Tobias Markus Reichstein John Rundle Chaopeng Shen Renata Wentzcovitch Yixin Wen |
| author_sort | Enrico Camporeale |
| collection | DOAJ |
| description | Abstract On behalf of AGU, the scientific community, and the editorial team of Journal of Geophysical Research: Machine Learning and Computation, we extend our sincere gratitude to the reviewers who dedicated their time and expertise to evaluating manuscripts for us in 2024. Scientific research can now be communicated in various ways, yet peer review remains the cornerstone of scholarly publishing. We deeply appreciate the reviewers who devoted hours to reading and providing insightful feedback. The high quality of our published papers is a testament to their commitment to this vital community service. |
| format | Article |
| id | doaj-art-e386fdcba25f44d6afe270692faff653 |
| institution | OA Journals |
| issn | 2993-5210 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Geophysical Research: Machine Learning and Computation |
| spelling | doaj-art-e386fdcba25f44d6afe270692faff6532025-08-20T02:10:42ZengWileyJournal of Geophysical Research: Machine Learning and Computation2993-52102025-03-0121n/an/a10.1029/2025JH000681Thank You to Our Peer Reviewers in 2024Enrico Camporeale0Raffaele Marino1Thomas Berger2Yangkang Chen3Doris Folini4Geoffrey Fox5Xiaofeng Li6Donald Lucas7Steve Tobias8Markus Reichstein9John Rundle10Chaopeng Shen11Renata Wentzcovitch12Yixin Wen13School of Physical and Chemical Sciences Queen Mary University of London London UKLaboratoire de Mécanique des Fluides et d'Acoustique CNRS ‐ École Centrale de Lyon Écully FranceSpace Weather Technology, Research, and Education Center University of Colorado Boulder Boulder CO USAJackson School of Geosciences The University of Texas at Austin Austin TX USAETH Zurich Institute for Atmospheric and Climate Science Zurich SwitzerlandDepartment of Computer Science Biocomplexity Institute University of Virginia Charlottesville VA USAChinese Academy of Sciences Institute of Oceanology Qingdao ChinaLawrence Livermore National Laboratory Livermore CA USADepartment of Applied Mathematics University of Leeds Leeds UKMax‐Planck‐Institute for Biogeochemistry Jena GermanyDepartment of Physics and Astronomy University of California – Davis Davis CA USADepartment of Civil and Environmental Engineering The Pennsylvania State University University Park PA USADepartment of Earth and Environmental Sciences Columbia University New York NY USADepartment of Geography University of Florida Gainesville FL USAAbstract On behalf of AGU, the scientific community, and the editorial team of Journal of Geophysical Research: Machine Learning and Computation, we extend our sincere gratitude to the reviewers who dedicated their time and expertise to evaluating manuscripts for us in 2024. Scientific research can now be communicated in various ways, yet peer review remains the cornerstone of scholarly publishing. We deeply appreciate the reviewers who devoted hours to reading and providing insightful feedback. The high quality of our published papers is a testament to their commitment to this vital community service.https://doi.org/10.1029/2025JH000681editorialpeer review |
| spellingShingle | Enrico Camporeale Raffaele Marino Thomas Berger Yangkang Chen Doris Folini Geoffrey Fox Xiaofeng Li Donald Lucas Steve Tobias Markus Reichstein John Rundle Chaopeng Shen Renata Wentzcovitch Yixin Wen Thank You to Our Peer Reviewers in 2024 Journal of Geophysical Research: Machine Learning and Computation editorial peer review |
| title | Thank You to Our Peer Reviewers in 2024 |
| title_full | Thank You to Our Peer Reviewers in 2024 |
| title_fullStr | Thank You to Our Peer Reviewers in 2024 |
| title_full_unstemmed | Thank You to Our Peer Reviewers in 2024 |
| title_short | Thank You to Our Peer Reviewers in 2024 |
| title_sort | thank you to our peer reviewers in 2024 |
| topic | editorial peer review |
| url | https://doi.org/10.1029/2025JH000681 |
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