Irrigation-Induced Crop Transpiration Across Contiguous U.S. Croplands, 2019

A data-driven framework quantifies irrigation-induced transpiration across irrigated croplands in the contiguous United States. The dataset, produced by Yawen Deng, provides annual water consumption estimates in millimeters per year. Input data for the framework is from the year 2019.

Use Cases

• Modeling water scarcity and irrigation efficiency based on estimated transpiration data.
• Assessing the contribution of irrigation to crop productivity across the contiguous United States.
• Informing large-scale water management policies for agricultural regions.
• Calibrating or validating hydrological and crop models with spatially explicit water use estimates.

Strengths

• Focuses on a critical factor for water management: irrigation-induced transpiration.
• Provides national-scale coverage for the contiguous United States.
• Data is derived using a described novel, data-driven framework.
• Uses input data from a specific year (2019) for temporal consistency.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and spatial resolution are unknown, which may limit suitability assessment.
• Data may reflect temporal bias inherent to the single input year (2019).

Provenance

Source

Yawen Deng via figshare.

Collection Method

Produced using a novel data-driven framework with unspecified input datasets.

Time Range

Input data from 2019.

Freshness

Last updated 2026-04-20 05:05:18; freshness should be verified.

Geography

Contiguous United States (CONUS).