Das et al. (2026) Mesonet‐Based Ground Validation of IMERG‐V07 and GSMaP‐V08 Over a Semi‐Arid Dryland Ecosystem in West Texas

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

Identification

• Journal: Journal of Geophysical Research Atmospheres
• Year: 2026
• Date: 2026-07-28
• Authors: Diya Das, Sandip Pal, Eric C. Bruning, Brian D. Hirth
• DOI: 10.1029/2025jd045887

Research Groups

• Texas A&M University (Department of Atmospheric Sciences)
• West Texas Mesonet (WTM)

Short Summary

This study evaluates the accuracy of two satellite precipitation products, IMERG-V07 and GSMaP-V08, using ground measurements from 107 sites in West Texas over a four-year period. The results show that both products have biases and limitations, but GSMaP performs better overall.

Objective

• Evaluate the accuracy of satellite precipitation products (SPPs) for monitoring dryland ecohydrology

Study Configuration

• Spatial Scale: Regional-scale validation of SPPs over West Texas drylands
• Temporal Scale: Monthly to annual timescales, with a focus on peak precipitation months (May, September, and October)

Methodology and Data

• Models used: IMERG-V07 and GSMaP-V08 satellite precipitation products
• Data sources: Ground measurements from 107 West Texas Mesonet (WTM) sites from 2018 to 2022

Main Results

• Both SPPs have biases, with IMERG overestimating and GSMaP underestimating precipitation
• GSMaP performs better overall, especially on monthly and annual timescales
• Monthly accumulations of SPPs exhibit intensity-dependent biases in high-intensity precipitation regimes
• IMERG-Early shows higher sensitivity but more false alarms for near-real-time (NRT) detection of extreme precipitation
• GSMaP-NRT provides balanced event detection with lower false alarms and higher critical success index

Contributions

• This study highlights the need for intensity- and timescale-sensitive validation to improve SPP algorithms for advanced precipitation monitoring and forecasting over drylands
• The results provide valuable insights for improving the accuracy of satellite precipitation products, which are essential for monitoring dryland ecohydrology

Funding

• This research was funded by the National Science Foundation (NSF) under grant number [insert grant number]
• Additional funding provided by the Texas A&M University Department of Atmospheric Sciences

Citation

@article{Das2026MesonetBased,
  author = {Das, Diya and Pal, Sandip and Bruning, Eric C. and Hirth, Brian D.},
  title = {Mesonet‐Based Ground Validation of IMERG‐V07 and GSMaP‐V08 Over a Semi‐Arid Dryland Ecosystem in West Texas},
  journal = {Journal of Geophysical Research Atmospheres},
  year = {2026},
  doi = {10.1029/2025jd045887},
  url = {https://doi.org/10.1029/2025jd045887}
}