Hu et al. (2026) Impact of thermal and dynamic spectral nudging on modeling of the 2022 Pakistan extreme rainfall event using multiscale processes

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Identification

• Journal: Quarterly Journal of the Royal Meteorological Society
• Year: 2026
• Date: 2026-10-12
• Authors: Xiaoxue Hu, Yuanyuan Ma, 陳維婷, Taichen Feng, Di Ma, Yan Chang
• DOI: 10.1002/qj.70337

Research Groups

• Department of Earth Sciences, University of Karachi
• Pakistan Meteorological Department (PMD)
• National Center for Physics (NCP), Quaid-i-Azam University

Short Summary

This study investigates the impact of spectral nudging on simulating extreme precipitation events in Pakistan during the 2022 summer rainfall. The results show that thermal and dynamic spectral nudging significantly improves precipitation simulation, with thermal nudging outperforming dynamic nudging.

Objective

• Investigate the effects of spectral nudging on simulating extreme precipitation events at different timescales during the exceptional summer 2022 rainfall in Pakistan.

Study Configuration

• Spatial Scale: Regional scale (Pakistan)
• Temporal Scale: Daily to weekly time scales

Methodology and Data

• Models used: Weather Research and Forecasting (WRF) model with spectral nudging
• Data sources: Satellite data from the European Space Agency's Climate Change Initiative, observation data from the Pakistan Meteorological Department, and reanalysis data from the National Centers for Environmental Prediction

Main Results

• Spectral nudging significantly improves precipitation simulation at different timescales.
• Thermal spectral nudging (SN-TQH) outperforms dynamic spectral nudging (SN-UV) in simulating extreme precipitation events.
• The relative effectiveness of SN-TQH and spectral nudging with all variables (SN-ALL) is highly regime-dependent.

Contributions

• This study provides a scientific basis for selecting regime-dependent nudging strategies to improve the predictability of extreme precipitation events in regions with complex topography.
• The findings can inform flood early-warning systems in Pakistan by improving the accuracy of precipitation simulation at different timescales.

Funding

• This research was funded by the Higher Education Commission (HEC) of Pakistan, grant number 21-1436.

Citation

@article{Hu2026Impact,
  author = {Hu, Xiaoxue and Ma, Yuanyuan and 陳維婷 and Feng, Taichen and Ma, Di and Chang, Yan},
  title = {Impact of thermal and dynamic spectral nudging on modeling of the 2022 Pakistan extreme rainfall event using multiscale processes},
  journal = {Quarterly Journal of the Royal Meteorological Society},
  year = {2026},
  doi = {10.1002/qj.70337},
  url = {https://doi.org/10.1002/qj.70337}
}