Amazon Catchment-Balance Evapotranspiration Error Estimates, 2003-2013

Monthly-scale error estimates for Amazon-mean catchment-balance evapotranspiration from 2003 to 2013. Jessica C. A. Baker from the University of Leeds produced this data by propagating errors in the water budget equation terms. The dataset includes absolute errors for precipitation, runoff, groundwater storage change, and evapotranspiration, alongside catchment-scale ET estimates and relative errors.

Use Cases

• Validating hydrological models based on the provided error estimates for precipitation, runoff, and groundwater storage.
• Analyzing temporal trends in Amazon evapotranspiration using the monthly-scale estimates from 2003 to 2013.
• Assessing the reliability of catchment-scale water budget calculations based on the propagated error metrics.
• Comparing observation-based ET estimates with climate model outputs using the provided error bounds.

Strengths

• Error estimates are provided for each component of the water budget equation, including precipitation, runoff, and groundwater storage change.
• Data covers a specific 11-year time range from 2003 to 2013 for the Amazon catchment.
• Methods and source datasets are documented in a peer-reviewed Hydrology and Earth System Sciences publication.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Leeds, author Jessica C. A. Baker.

Collection Method

Errors were calculated by propagating errors in each term of the water budget equation, with source data and methods detailed in a linked publication.

Time Range

2003 to 2013

Geography

Amazon catchment