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ENSO Prediction

This special issue belongs to the section “Meteorology“.

Special Issue Information

Dear Colleagues,

The El Niño–Southern Oscillation (ENSO) is the strongest interannual climate variability phenomenon across the globe, with worldwide climate and weather impacts. Understanding and improving predictions of ENSO are, thus, of vital importance. Over the past decades, there has been significant progress in the prediction of ENSO. However, serious challenges still exist in understanding ENSO and improving its prediction, highlighted particularly by the false predictions of 2014–2016 El Niño events. Further studies on ENSO are clearly needed.

This Special Issue invites contributions that focus on ENSO and ENSO-related studies. Contributions are solicited on topics including studies of the theory, modeling, and prediction of ENSO as well the impact of ENSO on climate and weather anomalies on global or local scales. Especially welcome are contributions on operational or experimental prediction systems of ENSO, including model development, initialization scheme, and ensemble construction in addition to the evaluation of ENSO predictability in the framework of deterministic, probabilistic, and intrinsic measures. Results from diagnostic, modeling, model intercomparison, and theoretical approaches are all welcome. 

Prof. Dr. Youmin Tang
Dr. Xiaoxiao Tan
Dr. Satyaban Bishoyi Ratna
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • ENSO
  • seasonal climate prediction
  • tropical climate variability
  • ENSO—induced climate anomalies

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Atmosphere - ISSN 2073-4433