Advances of Ocean Circulation and Air-Sea Interaction Using Remote Sensing Techniques

Dear Colleagues,

Ocean circulation and air–sea interactions play a fundamental role in regulating Earth's weather/climate system, influencing global heat distribution, carbon cycling, and extreme weather events. Remote sensing technologies have revolutionized our ability to monitor these dynamic processes across vast oceanic regions with unprecedented spatial and temporal coverage. Satellite observations provide critical data on sea surface temperature/salinity, sea surface height or ocean current, sea surface wind, and other parameters related to ocean–atmosphere interactions. The AI-assisted analysis of these datasets enables more efficient processing and provides deeper insights into multi-scale interactions. This area of research is particularly crucial in the context of climate change and weather forecasting, where improved monitoring and modeling capabilities are required to understand the current state of atmosphere and ocean environments and predict future changes.

This Special Issue of Remote Sensing aims to showcase innovative research on the application of remote sensing techniques related to ocean circulation and air–sea interactions, with a particular interest in AI-enhanced methodologies. We seek contributions that demonstrate innovative approaches to satellite data processing, novel sensor applications, and advanced analytical methods. We particularly welcome studies that integrate multi-sensor data, employ AI and machine learning techniques, or address current challenges in ocean remote sensing in order to enhance our understanding of ocean circulation and air–sea interactions.

We welcome the submission of original research articles, reviews, and technical notes that address the following topics:

• Satellite observations of ocean currents, eddies, and air–sea fluxes;
• Air–sea flux measurements using remote sensing;
• New satellite sensor technologies for ocean monitoring;
• Satellite data assimilation techniques for ocean models;
• AI-powered analysis of ocean remote sensing;
• Deep learning applications for feature extraction from satellite data.

Dr. Xiang Wang
Dr. Huizan Wang
Prof. Dr. Ronghua Zhang
Dr. Haokun Bai
Guest Editors

Dr. Jingtao Yu
Guest Editor Assistant

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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2700 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.