Advancing Weather and Flood Forecasting Using Remote Sensing and Artificial Intelligence

Dear Colleagues,

Reliable modeling and prediction of high-impact hydrometeorological events remains one of the major challenges in Earth system science. Severe floods and intense precipitation events cause severe socioeconomic damage, yet the accuracy of forecasts at local to regional scales is still limited. Recent advances in satellite remote sensing now provide unprecedented observations of precipitation, soil moisture, snow, surface water, and groundwater, offering essential datasets to complement in situ measurements and numerical weather forecasting models. At the same time, artificial intelligence (AI) and machine learning (ML) methods open up opportunities for extracting patterns, improving modeling and predictive skills, and integrating heterogeneous data streams.

This Special Issue aims to focus on innovative approaches that combine remote sensing observations with AI techniques to improve weather and hydrological modeling and predictions, particularly related to heavy precipitation and flood events. Contributions may include novel satellite-based data products, bias adjustment and post-processing methods for forecasts, AI-driven and physics-based hydrological modeling, data assimilation, or case studies highlighting successful applications in flood monitoring and prediction. By bringing together expertise from meteorology, hydrology, remote sensing, and data science, this Special Issue aims to advance the state of knowledge and foster new interdisciplinary solutions for more accurate and actionable forecasts of high-impact events.

Dr. Ehsan Sharifi
Dr. Karam Alsafadi
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. 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.