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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » Research » Publications at this Location » Publication #384546
Research Project: Integrating Remote Sensing, Measurements and Modeling for Multi-Scale Assessment of Water Availability, Use, and Quality in Agroecosystems

Location: Hydrology and Remote Sensing Laboratory

Title: Flux-data-qaqc: A Python package for energy balance closure and post-processing of eddy flux data

Author
item VOLK, J. - Desert Research Institute
item HUNTINGTON, J. - Desert Research Institute
item ALLEN, R. - University Of Idaho
item MELTON, F. - California State University
item Anderson, Martha
item KILIC, A. - University Of Nebraska

Submitted to: Journal of Open Source Software
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 10/12/2021
Publication Date: 10/16/2021
Citation: Volk, J., Huntington, J., Allen, R.G., Melton, F., Anderson, M.C., Kilic, A. 2021. Flux-data-qaqc: A Python package for energy balance closure and post-processing of eddy flux data. Journal of Open Source Software. 6(66):3418. https://doi.org/10.21105/joss.03418.
DOI: https://doi.org/10.21105/joss.03418

Interpretive Summary: New remotely sensed evapotranspiration (ET) products are enabling quantification of crop water use and demands at field scales, facilitating efficient irrigation management and water allocation strategies. To gain credibility within the water resources community, these products require rigorous evaluation against high-quality ground measurements sampling a range in climate and vegetation conditions distributed across the product domain. The Eddy Covariance (EC) flux tower network provides such ground-truth data, but care is required to process half-hourly or hourly flux samples to the gap-filled daily to monthly timesteps of the remote sensing products. This note describes the flux data-qaqc software, designed for accomplishing standard EC flux post-processing steps in an easy-to-use Python package. The package enables data filtering, gap-filling, temporal aggregation, and energy balance closure corrections via multiple methods, all supported by useful plotting and visualization tools. The flux-data-qaqc package is being used by OpenET project in a multi-model intercomparison study, evaluating Landsat-based daily to monthly ET products developed at 30-m spatial resolution over the western United States to support a range of water management applications.

Technical Abstract: Journal format does not include an abstract, so no technical abstract is provided.