We are proud to share that Subin Kim, a PhD student in our lab, has been selected to receive the Outstanding Student Presentation Award from the AGU Hydrology Section Remote Sensing Technical Committee at the AGU Fall Meeting 2025.

Each year, the RSTC recognizes only a very small number of students across all hydrology and remote sensing sessions whose presentations demonstrate exceptional scientific quality, originality, and impact. Subin was nominated by her session chairs and subsequently selected by the RSTC chairs after a competitive evaluation process.
Her award-winning presentation was titled
"Deep Learning-Based Surrogate Modeling for the Evaluation of Land Data Assimilation Schemes."
In this work, Subin developed a novel deep learning framework that serves as a surrogate model for computationally expensive land data assimilation experiments. Her approach enables efficient and systematic evaluation of different assimilation strategies, offering new opportunities for improving land surface modeling and hydrologic prediction. The study attracted significant attention at the meeting for its technical rigor and its potential to transform how data assimilation experiments are designed and interpreted.
As part of this recognition, Subin will be featured on the official RSTC website and related AGU media platforms and will receive a monetary award(!) in acknowledgment of her achievement.
This award is a reflection of Subin dedication, creativity, and hard work, and we are incredibly proud of her accomplishment. Please join us in congratulating Subin on this outstanding recognition and in wishing her continued success in her research career.
Congratulations, Subin!





















