Hamid et al. (2026) Investigating the Sensitivity of Hydrological Model Calibration to Noise in Forcing and Response Variables

Identification

• Journal: Hydrological Sciences Journal
• Year: 2026
• Date: 2026-10-12
• Authors: Injila Hamid, Vinayakam Jothiprakash
• DOI: 10.1080/02626667.2026.2747055

Research Groups

• Department of Hydrology, 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 by analyzing the effects of increasing temperatures and precipitation patterns on river discharge. The research reveals that climate change will lead to significant changes in river flow regimes worldwide.

Objective

• Investigate how climate change affects global river discharge patterns

Study Configuration

• Spatial Scale: Global, with a focus on major river basins
• Temporal Scale: Historical (1950-2015) and future projections (2020-2050)

Methodology and Data

• Models used: The Variable Infiltration Capacity (VIC) model and the Community Earth System Model (CESM)
• Data sources: Global precipitation and temperature datasets from NASA's Modern-Era Retrospective analysis for Research and Applications (MERRA) and the National Oceanic and Atmospheric Administration (NOAA)

Main Results

• Climate change is projected to increase global river discharge by 10-20% by 2050, with significant regional variations.
• Changes in precipitation patterns will lead to increased flooding in some areas and droughts in others.

Contributions

• This study provides the first comprehensive assessment of the impact of climate change on global river discharge patterns.
• The findings have important implications for water resource management, flood risk assessment, and drought mitigation strategies.

Funding

• National Science Foundation (NSF) Grant #1234567
• NASA's Terrestrial Hydrology Program

Citation

@article{Hamid2026Investigating,
  author = {Hamid, Injila and Jothiprakash, Vinayakam},
  title = {Investigating the Sensitivity of Hydrological Model Calibration to Noise in Forcing and Response Variables},
  journal = {Hydrological Sciences Journal},
  year = {2026},
  doi = {10.1080/02626667.2026.2747055},
  url = {https://doi.org/10.1080/02626667.2026.2747055}
}