Weather and Forecasting

View Current Issue  Submit to WAF


Weather and Forecasting (WAF) (ISSN: 0882-8156; eISSN: 1520-0434) publishes research that is relevant to operational forecasting. This includes papers on significant weather events, forecasting techniques, forecast verification, model parameterizations, data assimilation, model ensembles, statistical postprocessing techniques, the transfer of research results to the forecasting community, and the societal use and value of forecasts. The scope of WAF includes research relevant to forecast lead times ranging from short-term “nowcasts” through seasonal time scales out to approximately two years.

2022 Impact Factor: 2.91

Submission Types

  • Articles: Up to 7500 words, including the body text, acknowledgments, and appendixes. The word limit does not include the title page, abstract, references, captions, tables, and figures. If a submission exceeds the word limit, the author must provide a justification for the length of the manuscript and request the Chief Editor’s approval of the overage. This request may be uploaded in a document with the "Cover Letter" item type or entered in the comment field in the submission system.
  • Reviews: Synthesis of previously published literature that may address successes, failures, and limitations. Requires Review Proposal. For more information, see Review Articles.
  • Comment and Reply Exchange: Comments are written in response to a published article and should be submitted within 2 years of the publication date of the original article (although the editor can waive this limit in extenuating circumstances). The author of the original article has the opportunity to write a Reply. These exchanges are published together. 
  • Corrigenda: The corrigendum article type is available for authors to address errors discovered in already published articles. For more information, see Corrigenda.

  • Operational Prediction System Notes: Report on changes to the suite of operational numerical models and postprocessing techniques.
  • Forecaster's Forum: Opinions about forecasting problems and experiences that are of general interest to forecasters.

Editors and Staff Contacts

Chief Editor

Matthew Bunkers, NOAA/NWS Weather Forecast Office Rapid City


John T. Allen, Central Michigan University

Walker S. Ashley, Northern Illinois University

Stephen W. Bieda III, NOAA/NWS Analyze, Forecast and Support Office

Kristin M. Calhoun, University of Oklahoma and NOAA/National Severe Storms Laboratory

Benjamin Kirtman, University of Miami, Rosenstiel School for Marine and Atmospheric Science

Karen A. Kosiba, Center for Severe Weather Research

Kelly Mahoney, NOAA/ESRL Physical Sciences Division

Lynn McMurdie, University of Washington

Corey Potvin, NOAA/OAR/National Severe Storms Laboratory

Zhaoxia Pu, University of Utah

Elizabeth Ritchie, University of New South Wales

Associate Editors

Nachiketa Acharya, CIRES, University of Colorado Boulder and NOAA Physical Sciences Laboratory

Alexandra Anderson-Frey, University of Washington

Barbara Mayes Boustead, NOAA/NWS/Warning Decision Training Division

Michael J. Brennan, NOAA/NWS National Hurricane Center

Jacob R. Carley, NOAA/NCEP/Environmental Modeling Center

Joseph J. Charney, U.S. Forest Service, Northern Research Station

Chia-Jeng Chen, National Chung Hsing University

Adam J. Clark, NOAA/OAR/National Severe Storms Laboratory

Michael C. Coniglio, NSSL Forecast Research and Development Division

Robert J.C. Conrick, University of Washington

Robert L. Deal, NOAA/NWS Weather Forecast Office Philadelphia/Mount Holly

Difei Deng, University of New South Wales, Canberra

Somer A. Erickson, DHS/Federal Emergency Management Agency

Jeffrey Frame, University of Illinois at Urbana–Champaign

David John Gagne, National Center for Atmospheric Research

Victor Gensini, Northern Illinois University

Steven J. Greybush, The Pennsylvania State University

Nathan M. Hitchens, Ball State University

Kimberly A. Hoogewind, Cooperative Institute for Severe and High-Impact Weather Research and Operations and NOAA/National Severe Storms Laboratory

Israel L. Jirak, NOAA/NCEP/Storm Prediction Center

Jeffrey D. Kepert, Australian Bureau of Meteorology

Hyemi Kim, SUNY Stony Brook

John Knaff, NOAA/National Environmental Satellite, Data, and Information Center

Vinay Kumar, University of the Incarnate Word, San Antonio

Ryan Lagerquist, CIMMS, University of Oklahoma

Zhan Li, The Weather Network, Pelmorex Corp.

Liao-Fan Lin, CIRA, Colorado State University and NOAA/OAR/Global Systems Laboratory

Luke Madaus, Jupiter

Maria J. Molina, University of Maryland at College Park

David R. Novak, NOAA/NWS/Weather Prediction Center

Malaquias Peña, University of Connecticut

Craig Schwartz, National Center for Atmospheric Research

Keith D. Sherburn, NOAA/NWS Weather Forecast Office Rapid City

Nathan Snook, Center for Analysis and Prediction of Storms, University of Oklahoma

Jeffrey C. Snyder, NOAA/OAR National Severe Storms Laboratory

Ryan Sobash, National Center for Atmospheric Research

Shan Sun, NOAA/ESRL Global Systems Laboratory

Brian H. Tang, University at Albany, State University of New York

Christopher Wikle, University of Missouri

Raymond A. Wolf, Retired

Kimberly Wood, Mississippi State University

Fanglin Yang, NOAA/NWS/NCEP/Environmental Modeling Center

Feimin Zhang, Lanzhou University

Shixuan Zhang, Pacific Northwest National Laboratory

Wei Zhang, University of Miami and NOAA GSL

Peer Review Support Staff

Andrea Herbst, Assistant to Gary Lackmann and Matt Bunkers

DJ Arruda, Assistant to Benjamin Kirtman, Karen A. Kosiba, and Corey Potvin
Cristina Barletta, Assistant to Walker S. Ashley, Stephen Bieda and Kelly Mahoney
Hayley Charney, Assistant to John T. Allen and Lynn McMurdie

Robbie Matlock, Assistant to Kristin M. Calhoun, Zhaoxia Pu, and Elizabeth Ritchie

Production Staff

Mike Friedman, Associate Director - Publishing Technology
Hollis E. Baguskas, Lead Technical Editor
Andrea L. Schein, Lead Copy Editor
Danielle Joyce, Author Submission Support

1 2022 Journal Impact Factors by Clarivate Analytics; Meteorology and Atmospheric Science category.