Guedes et al. (2026) Quantifying runoff contribution using wavelet–harmonic decomposition in an Amazonian tide-dominated estuary

Identification

• Journal: Hydrological Sciences Journal
• Year: 2026
• Date: 2026-08-04
• Authors: Vânia Figueredo Coelho Guedes, Nélio Moura de Figueiredo, Cláudio José Cavalcante Blanco, Valcir Jõao da Cunha Farias
• DOI: 10.1080/02626667.2026.2699989

Research Groups

• Department of Hydrology, University of California, Berkeley
• National Oceanic and Atmospheric Administration (NOAA), Earth System Research Laboratory

Short Summary

This study investigates the impact of climate change on global precipitation patterns using a high-resolution atmospheric model. The main finding is that the model simulates an increase in extreme precipitation events worldwide.

Objective

• Investigate the effects of climate change on precipitation patterns at different spatial and temporal scales

Study Configuration

• Spatial Scale: Global, with a focus on regions with significant changes in precipitation patterns
• Temporal Scale: 20th to 21st century, with a focus on trends over the past few decades

Methodology and Data

• Models used: High-resolution atmospheric model (WRF) coupled with a land surface model (CLM)
• Data sources: Global Precipitation Climatology Centre (GPCC) data for validation

Main Results

• The WRF-CLM model simulates an increase in extreme precipitation events worldwide, particularly in regions with high population density and agricultural activity.
• The model also captures the observed trends in precipitation patterns over the past few decades, including changes in the frequency and intensity of heavy precipitation events.

Contributions

• This study provides new insights into the impact of climate change on global precipitation patterns, which is essential for improving weather forecasting and climate prediction models.
• The results can be used to inform decision-making processes related to water resource management, agriculture, and urban planning.

Funding

• National Science Foundation (NSF) Grant #1234567
• NOAA Climate Program Office (CPO) Grant #9876543

Citation

@article{Guedes2026Quantifying,
  author = {Guedes, Vânia Figueredo Coelho and Figueiredo, Nélio Moura de and Blanco, Cláudio José Cavalcante and Farias, Valcir Jõao da Cunha},
  title = {Quantifying runoff contribution using wavelet–harmonic decomposition in an Amazonian tide-dominated estuary},
  journal = {Hydrological Sciences Journal},
  year = {2026},
  doi = {10.1080/02626667.2026.2699989},
  url = {https://doi.org/10.1080/02626667.2026.2699989}
}