UNH/GRDC: Estimated River Runoff
Teaser image
Main content
Combines observed river discharge information with a climate-driven Water Balance Model in order to develop composite runoff fields that are consistent with observed discharges. This combination preserves the accuracy of discharge measurements as well as the spatial and temporal distribution of simulated runoff, providing a 'best estimate' of terrestrial runoff over large domains.
Key Strengths
Key Strengths
Statistical 'best estimate' of terrestrial runoff over large domain
Key Limitations
Key Limitations
Model-based estimate (but constrained by observed river discharge)
Please cite data sources, following the data providers' instructions
Suggested Data Citation
None
Dataset DOIs
None
Hosted Climate Index Files
None
Data Access
Usage Restrictions
None
Key Figures
Mean Annual Runoff - South America. (source: http://www.grdc.sr.unh.edu/html/Runoff/South_America/index.html)
Other Information
Earth system components and main variables
Type of data product
None
Dataset collections
Years of record
None
Data time period extended
None
Timestep
Climatology
Domain
Formats:
Input Data
None
Vertical Levels:
Missing Data Flag
Missing data present
Ocean or Land
Land Only
Spatial Resolution
0.5x0.5
Model Resolution (reanalysis)
None
Data Assimilation Method
None
Model Vintage (reanalysis)
None
Key Publications
- Fekete, B. M., C. J. Vörösmarty, and W. Grabs (2002), High-resolution fields of global runoff combining observed river discharge and simulated water balances, Global Biogeochem. Cycles, 16(3), 1042
- Fekete, B. M., C. J. Vörösmarty, and W. Grabs (2000), Global composite runoff fields based on observed river discharge and simulated water balances (version 1.0)