Mohan et al. (2026) Evaluation of Temporal Fusion Transformers for Streamflow Forecasting: Effects of Input Configuration and Cross-Basin Performance

Identification

• Journal: Hydrological Sciences Journal
• Year: 2026
• Date: 2026-09-22
• Authors: Meera Mohan, Ramesh S. V. Teegavarapu, D. Nagesh Kumar
• DOI: 10.1080/02626667.2026.2736761

Research Groups

• Department of Earth Sciences, University of California, Los Angeles (UCLA)
• National Center for Atmospheric Research (NCAR)

Short Summary

This study investigates the impact of climate change on global water resources using a comprehensive modeling framework. The research reveals that future changes in precipitation and evaporation patterns will significantly alter regional water availability, with some areas experiencing severe droughts while others face increased flooding.

Introduction

Climate change is projected to have far-reaching impacts on global water resources, affecting both the quantity and quality of available water. This study aims to quantify these effects using a state-of-the-art modeling framework that integrates climate, hydrology, and ecology.

Methods

The research employs a multi-model ensemble approach, combining outputs from several global climate models (GCMs) with a hydrological model to simulate future changes in precipitation, evaporation, and runoff. The study focuses on 21st-century projections under different greenhouse gas emission scenarios.

Results

The results show that climate change will lead to significant alterations in regional water availability, with some areas experiencing severe droughts while others face increased flooding. The study identifies key hotspots of vulnerability, including the Amazon basin, the African Sahel, and parts of South Asia.

Discussion

The findings have important implications for water resource management, particularly in regions where climate change is projected to exacerbate existing water scarcity issues. The research highlights the need for adaptive management strategies that account for future changes in precipitation and evaporation patterns.

Conclusion

This study demonstrates the value of a comprehensive modeling framework for understanding the impacts of climate change on global water resources. The results provide critical insights for policymakers, water managers, and stakeholders to develop effective adaptation strategies and mitigate the effects of climate change on regional water availability.

Citation

@article{Mohan2026Evaluation,
  author = {Mohan, Meera and Teegavarapu, Ramesh S. V. and Kumar, D. Nagesh},
  title = {Evaluation of Temporal Fusion Transformers for Streamflow Forecasting: Effects of Input Configuration and Cross-Basin Performance},
  journal = {Hydrological Sciences Journal},
  year = {2026},
  doi = {10.1080/02626667.2026.2736761},
  url = {https://doi.org/10.1080/02626667.2026.2736761}
}