Thank You to Our Peer Reviewers in 2025
Year: 2026
Type: article
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 2025. 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.
DOI: 10.1029/2026jh001360
Institutions: Queen Mary University of London, University of Colorado Boulder, Lyon 1 Université, École Centrale de Lyon, Centre National de la Recherche Scientifique, Laboratoire de Mécanique des Fluides et d'Acoustique, Institut National des Sciences Appliquées de Lyon, NSF National Center for Atmospheric Research, NSF NCAR High Altitude Observatory, The University of Texas at Austin, ETH Zurich, Institute for Atmospheric and Climate Science, University of Virginia, Chinese Academy of Sciences, Institute of Oceanology, Lawrence Livermore National Laboratory, Los Alamos National Laboratory, University of Edinburgh, Max Planck Institute for Biogeochemistry, University of California, Davis, Pennsylvania State University, Columbia University, University of Florida
Language: English
Open Access status: gold
Estimated APC paid: $2,500
OpenAlex ID: W7148336153
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