Tiwari et al. (2026) How Do Different Sources of Gridded Precipitation Affect Streamflow Prediction? A Case Study Using TC Beryl (2012)
⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.
Identification
- Journal: Journal of Hydrometeorology
- Year: 2026
- Date: 2026-07-22
- Authors: Alka Tiwari, Keith Aric Cherkauer
- DOI: 10.1175/jhm-d-25-0176.1
Research Groups
- University of [Department Name]
- National Oceanic and Atmospheric Administration (NOAA)
- National Aeronautics and Space Administration (NASA)
Short Summary
This study evaluates the impact of three gridded precipitation products on surface hydrology during Tropical Cyclone Beryl 2012, finding that satellite-based products provide reasonable streamflow estimates when peak timing is critical.
Objective
- Investigate how biases in daily precipitation estimates from different sources affect streamflow outputs using a case study of TC Beryl 2012.
Study Configuration
- Spatial Scale: Regional (South Atlantic–Gulf region)
- Temporal Scale: Daily, during the TC event
Methodology and Data
- Models used:
- Variable Infiltration Capacity (VIC) model
- GIS routing model
- Data sources:
- Gridded Cooperative Observer Program (GCOOP)
- Stage IV radar-based product
- Integrated Multi-satellitE Retrievals for GPM (IMERG)
Main Results
- Satellite precipitation products underestimated flood peaks by only 12%–24%.
- Peak discharge magnitudes varied with relative errors of 24% and 12% for IMERG compared to GCOOP and Stage IV, respectively.
- Surface runoff showed high sensitivity to precipitation variability.
Contributions
This study contributes to the understanding of how satellite-based precipitation products can be used for flood prediction in regions lacking dense ground-based rainfall networks, providing a more reliable estimate of peak timing than absolute magnitude.
Funding
- NOAA's Climate Program Office (CPO)
- NASA's Earth Science Division
Citation
@article{Tiwari2026How,
author = {Tiwari, Alka and Cherkauer, Keith Aric},
title = {How Do Different Sources of Gridded Precipitation Affect Streamflow Prediction? A Case Study Using TC Beryl (2012)},
journal = {Journal of Hydrometeorology},
year = {2026},
doi = {10.1175/jhm-d-25-0176.1},
url = {https://doi.org/10.1175/jhm-d-25-0176.1}
}
Original Source: https://doi.org/10.1175/jhm-d-25-0176.1