Amazon Basin Evapotranspiration Estimates from Catchment Balance and Climate Models

Monthly evapotranspiration estimates for the Amazon basin derived from catchment-balance analysis, satellite observations, reanalysis, and climate models. The dataset, created by Jessica C. A. Baker of the University of Leeds, also includes catchment-level climate variables like precipitation, radiation, and leaf area index. Full methodology is detailed in the Hydrology and Earth System Sciences paper 'Evapotranspiration in the Amazon: spatial patterns, seasonality and recent trends in observations, reanalysis and CMIP models'.

Use Cases

• Modeling basin-scale water budgets based on catchment-balance evapotranspiration estimates.
• Comparing satellite-derived evapotranspiration (from MODIS, P-LSH, GLEAM) with climate model outputs (CMIP5, CMIP6).
• Analyzing the influence of climate variables like precipitation and radiation on evapotranspiration patterns.
• Validating reanalysis data (ERA5) against observational estimates for the Amazon region.

Strengths

• Integrates data from multiple sources including satellite observations, reanalysis, and climate models.
• Includes related catchment-level climate variables (precipitation, radiation, leaf area index) that influence evapotranspiration.
• Methodology is peer-reviewed and published in a scientific journal (Hydrology and Earth System Sciences).

Limitations

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

Provenance

Source

University of Leeds, Jessica C. A. Baker

Collection Method

Catchment-balance analysis, satellite data (MODIS, P-LSH, GLEAM), reanalysis (ERA5), and climate models (CMIP5, CMIP6).

Geography

Amazon basin