Call for Papers: Special Issue on SWAT Model Innovations in EMS Journal

We are happy to inform you all that our SWAT model-focused special issue with the EMS journal is online and accepting research and review articles. Please consider this special issue for your next article. Our editorial team will expedite the peer review process. We will also be reaching out to you for article reviews based on your expertise.

Link to special issue: EMS special issue- SWAT-ML-RS

Special issue title:  Innovations in Ecosystem Modeling: Integrating SWAT with Cutting-Edge Remote Sensing and Machine Learning Techniques

Journal: Environmental Modelling & Software (IF- 4.8, cite score: 9.3)

Guest Editors: Arun Bawa, Kyung Hwa Cho, Jong Cheol Pyo, Paul Wagner, Monireh Faramarzi

Scope: Integrating remote sensing and machine learning with SWAT have potential to enhance predictive capabilities, providing actionable insights for sustainable management. This special issue invites collaborative research to demonstrate the integration of these technologies with SWAT, improving performance and broadening its applicability. Topics include data assimilation, predictive modeling, scalability, interdisciplinary applications, decision support systems, uncertainty analysis, and improving data quality [not limited to these topics only]. The focus is on enhancing SWAT tools through significant modeling advancements or developing new tools. Please avoid submitting simple SWAT based case studies.

Submission deadline: Oct 31, 2025

Note: When submitting your manuscript please select the article type “VSI: SWAT-ML-RS”

Both SWAT and SWAT+ model related research articles are considered.

For additional information, please contact arun.bawa@ag.tamu.edu.