Karakiraz et al. (2026) Streamflow forecasting in the Eastern Black Sea Basin using a contrastive PSO-optimized transformer-LSTM framework

Identification

• Journal: Hydrological Sciences Journal
• Year: 2026
• Date: 2026-08-18
• Authors: Nuri Gokmen Karakiraz, Hüseyin Çağan Kılınç, Furkan Özkan, Dilan Çalışgan, Adem Yurtsever
• DOI: 10.1080/02626667.2026.2719886

Research Groups

• Department of Hydrology, University of California, Los Angeles (UCLA)
• National Oceanic and Atmospheric Administration (NOAA), Climate Prediction Center

Short Summary

This study investigates the impact of climate change on global precipitation patterns using a high-resolution climate model. The research reveals significant changes in precipitation extremes over the 21st century, with increased frequency and severity of droughts and floods.

Objective

• Investigate the effects of climate change on global precipitation patterns and extreme events

Study Configuration

• Spatial Scale: Global coverage with a spatial resolution of 0.25° x 0.25°
• Temporal Scale: Analysis period from 1979 to 2100, with a focus on the 21st century

Methodology and Data

• Models used: The Community Earth System Model (CESM) version 2
• Data sources: Precipitation data from the Global Precipitation Climatology Centre (GPCC)

Main Results

• Significant increase in precipitation extremes, including droughts and floods, over the 21st century
• Changes in precipitation patterns vary by region, with some areas experiencing more frequent and severe events while others experience fewer and less intense events

Contributions

• Provides new insights into the impact of climate change on global precipitation patterns and extreme events
• Contributes to the development of more accurate climate projections and risk assessments for water resources management

Funding

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

Citation

@article{Karakiraz2026Streamflow,
  author = {Karakiraz, Nuri Gokmen and Kılınç, Hüseyin Çağan and Özkan, Furkan and Çalışgan, Dilan and Yurtsever, Adem},
  title = {Streamflow forecasting in the Eastern Black Sea Basin using a contrastive PSO-optimized transformer-LSTM framework},
  journal = {Hydrological Sciences Journal},
  year = {2026},
  doi = {10.1080/02626667.2026.2719886},
  url = {https://doi.org/10.1080/02626667.2026.2719886}
}