Advances in Data Assimilation for Weather and Climate Prediction

Dear Colleagues,

To obtain accurate weather and climate predictions, data assimilation serves as a critical tool that optimally synchronizes observational data with models to produce reliable initial conditions. In numerical weather prediction, data assimilation combines diverse atmospheric observations such as satellite, ground-based meteorological stations and radar into atmospheric models. In climate predictions, data assimilation is extended to multiple Earth-system components (e.g., atmosphere, ocean, sea ice, and land) within a coupled model framework, known as coupled data assimilation. Coupled data assimilation aims to generate initial conditions that are dynamically consistent across all model components, which is essential for credible climate predictions.

This Special Issue aims to advance the methodological frontiers of data assimilation and coupled data assimilation, focusing on their application to weather and climate prediction. It seeks to address key challenges in the generation of optimal initial conditions, thereby enhancing the prediction skills for extreme events, such as the Madden-Julian Oscillation, Pacific Decadal Oscillation, monsoon, etc.

We invite contributions on topics including, but not limited to:

• Data assimilation methods for weather prediction.
• Weak and strong coupled data assimilation methods.
• Artificial intelligence-based data assimilation or coupled data assimilation methods.
• Application of coupled data assimilation in subseasonal to seasonal prediction
• Application of coupled data assimilation in decadal prediction
• Data assimilation or coupled data assimilation application in predicting extreme events.

Both original research articles and review papers are welcome.

Dr. Yujun He
Dr. Shuai Hu
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. Climate 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 1800 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.