Hussein et al. (2026) A CMIP6-based frequency analysis of the extreme precipitation events in Virginia, USA

Identification

• Journal: Elsevier eBooks
• Year: 2026
• Date: 2026-01-01
• Authors: Sura Dhiyaa Hussein, Mustafa Nuri Balov
• DOI: 10.1016/b978-0-443-34205-9.00017-2

Research Groups

Department of Civil Engineering, Istanbul Gelişim University, Istanbul, Türkiye

Short Summary

This study performs a CMIP6-based frequency analysis of extreme precipitation events in Virginia, USA, to understand how global warming and climate variability impact their intensity and frequency.

Objective

• To conduct a CMIP6-based frequency analysis of extreme precipitation events in Virginia, USA, to assess changes in their intensity and frequency due to global warming and climate variability.

Study Configuration

• Spatial Scale: Regional (Virginia, USA)
• Temporal Scale: Focus on frequency of extreme events; specific temporal range not detailed in excerpt.

Methodology and Data

• Models used: Coupled Model Intercomparison Project Phase 6 (CMIP6) climate models.
• Data sources: Outputs from CMIP6 climate models.

Main Results

• Not available in the provided excerpt.

Contributions

• Provides a regional-scale frequency analysis of extreme precipitation events for Virginia, USA, utilizing state-of-the-art CMIP6 climate model outputs to assess climate change impacts.

Funding

• Not available in the provided excerpt.

Citation

@article{Hussein2026CMIP6based,
  author = {Hussein, Sura Dhiyaa and Balov, Mustafa Nuri},
  title = {A CMIP6-based frequency analysis of the extreme precipitation events in Virginia, USA},
  journal = {Elsevier eBooks},
  year = {2026},
  doi = {10.1016/b978-0-443-34205-9.00017-2},
  url = {https://doi.org/10.1016/b978-0-443-34205-9.00017-2}
}