Parsimonious Gap-Filling Models for Sub-Daily Actual Evapotranspiration Observations from Eddy-Covariance Systems

Missing data and low data quality are common issues in field observations of actual evapotranspiration (ET<sub>a</sub>) from eddy-covariance systems, which necessitates the need for gap-filling techniques to improve data quality and utility for further analyses. A number of models have b...

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Bibliographic Details
Published in:Remote Sensing
Main Authors: Danlu Guo, Arash Parehkar, Dongryeol Ryu, Quan J. Wang, Andrew W. Western
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Subjects:
actual evapotranspiration
latent heat
infill
data-driven
missing data
flux tower
Online Access:https://www.mdpi.com/2072-4292/14/5/1286

Internet

https://www.mdpi.com/2072-4292/14/5/1286

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