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Blue evapotranspiration (Blue ET) is the portion of ET derived from blue water sources, including surface water (rivers, lakes, reservoirs) and groundwater used for irrigation. It is a key component of blue water fluxes in water accounting. Blue ET consists of evaporation from irrigated fields, transpiration from irrigated crops, and water lost from artificial storage. It helps assess water productivity in irrigated agriculture, quantify consumptive water use, and support sustainable water resource management, particularly in water-scarce regions.
Overview
Blue evapotranspiration (Blue ET) is the portion of ET derived from blue water sources, including surface water (rivers, lakes, reservoirs) and groundwater used for irrigation. It is a key component of blue water fluxes in water accounting. Blue ET consists of evaporation from irrigated fields, transpiration from irrigated crops, and water lost from artificial storage. It helps assess water productivity in irrigated agriculture, quantify consumptive water use, and support sustainable water resource management, particularly in water-scarce regions.
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- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Monthly Blue ET for Africa
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::iwmi-datasets/Water_accounting_plus/Africa/Incremental_ET_M/
- AWS region
- af-south-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://iwmi-datasets/Water_accounting_plus/Africa/Incremental_ET_M//
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IWMI DIWASA Blue ET for Africa was accessed on DATE from https://registry.opendata.aws/blue_et .
License
Creative Commons open license
Similar products
Green evapotranspiration (Green ET) is the portion of ET derived from green water, which includes soil moisture and rainfall used by vegetation. It represents a key component of green water fluxes in water accounting. Green ET consists of evaporation from soil moisture in non-irrigated areas, transpiration from rainfed crops and natural vegetation, and interception losses from precipitation on vegetation. It plays a crucial role in rainfed agriculture, drought monitoring, and sustainable water management by tracking how rainfall supports plant growth.
A framework integrating the Budyko model has been developed to distinguish between rainfed and irrigated cropland areas across Africa. This expands on remote sensing land cover products available for agricultural water studies in Africa and thereby helps address the need for deeper insights into cropland patterns. Validation against an independent dataset revealed an overall accuracy of 73% with high precision and specificity scores. These results validate the framework’s effectiveness in identifying irrigated areas while minimizing errors in misclassifying rainfed areas as irrigated.