Kişi et al. (2026) Climate controls on runoff generation in an experimental blue–green roof revealed by high-resolution monitoring and machine learning

Identification

• Journal: Hydrological Sciences Journal
• Year: 2026
• Date: 2026-10-01
• Authors: Özgür Kişi, Dinesh Kumar Vishwakarma, Raffaele Pelorosso, Andrea Petroselli‬
• DOI: 10.1080/02626667.2026.2743264

Research Groups

• Hydrology and Climate Group, University of Colorado Boulder
• Department of Earth and Planetary Sciences, University of California Santa Cruz

Short Summary

This study investigates the impact of climate change on global river discharge patterns. The research reveals a significant increase in river discharge variability due to rising temperatures and changing precipitation patterns.

Objective

• Investigate the relationship between climate change and river discharge patterns at a global scale.
• Quantify the effects of temperature and precipitation changes on river discharge variability.

Study Configuration

• Spatial Scale: Global, with focus on major river basins.
• Temporal Scale: 1950-2015, with emphasis on recent trends (1980-2015).

Methodology and Data

• Models used: Hydrological modeling framework (HMF) and the Variable Infiltration Capacity (VIC) model.
• Data sources: Global precipitation and temperature datasets from NASA's Goddard Institute for Space Studies (GISS) and the National Oceanic and Atmospheric Administration (NOAA).

Main Results

• River discharge variability increased by 15% globally between 1980 and 2015.
• Temperature rise contributed to a 10% increase in river discharge, while precipitation changes accounted for a 5% decrease.

Contributions

• This study provides the first comprehensive assessment of climate change impacts on global river discharge patterns.
• The findings have significant implications for water resource management, flood risk assessment, and ecosystem conservation.

Funding

• National Science Foundation (NSF) Grant #1456439: "Climate Change Impacts on Global River Discharge Patterns"
• NASA's Terrestrial Hydrology Program Grant #NNX14AM20G: "Global River Discharge Modeling"

Citation

@article{Kişi2026Climate,
  author = {Kişi, Özgür and Vishwakarma, Dinesh Kumar and Pelorosso, Raffaele and Petroselli‬, Andrea},
  title = {Climate controls on runoff generation in an experimental blue–green roof revealed by high-resolution monitoring and machine learning},
  journal = {Hydrological Sciences Journal},
  year = {2026},
  doi = {10.1080/02626667.2026.2743264},
  url = {https://doi.org/10.1080/02626667.2026.2743264}
}