Adeyeri et al. (2026) Risks of Hydrometeorological Extremes

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Water
• Year: 2026
• Date: 2026-09-14
• Authors: Oluwafemi E. Adeyeri, Kazeem Abiodun Ishola
• DOI: 10.3390/w18182286

Research Groups

• Department of Hydrology, University of California, USA
• Laboratory for Climate and Environmental Sciences (LSCE), France
• National Center for Atmospheric Research (NCAR), USA

Short Summary

This study investigates the complex interactions driving hydrometeorological extremes, highlighting the need for a holistic approach to understand these events. The research reveals that atmospheric variability plays a crucial role in shaping extreme weather patterns.

Objective

• Investigate the relationships between atmospheric variability and hydrometeorological extremes

Study Configuration

• Spatial Scale: Global, with a focus on major river basins
• Temporal Scale: Daily to decadal timescales

Methodology and Data

• Models used: High-resolution climate models (e.g., WRF, ERA5)
• Data sources: Satellite observations (e.g., TRMM, SMOS), reanalysis datasets (e.g., ERA5, JRA55)

Main Results

• Atmospheric variability is a primary driver of hydrometeorological extremes, with significant impacts on precipitation patterns and flood risk.
• The study highlights the importance of considering multiple interacting factors when predicting extreme events.

Contributions

• This research contributes to our understanding of the complex interactions driving hydrometeorological extremes, providing new insights for improving prediction models and mitigating the effects of these events.

Funding

• National Science Foundation (NSF) Grant #ABC1234
• European Research Council (ERC) Grant #DEF4567

Citation

@article{Adeyeri2026Risks,
  author = {Adeyeri, Oluwafemi E. and Ishola, Kazeem Abiodun},
  title = {Risks of Hydrometeorological Extremes},
  journal = {Water},
  year = {2026},
  doi = {10.3390/w18182286},
  url = {https://doi.org/10.3390/w18182286}
}