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Fluxpart: Open source software for partitioning carbon dioxide and water vapor fluxes

Author:
Skaggs, T.H., Anderson, R.G., Alfieri, J.G., Scanlon, T.M., Kustas, W.P.
Source:
Agricultural and forest meteorology 2018 v.253-254 pp. 218-224
ISSN:
0168-1923
Subject:
agricultural land, algorithms, carbon dioxide, computer software, ecosystems, eddy covariance, evaporation, photosynthesis, transpiration, variance, water vapor
Abstract:
The eddy covariance method is regularly used for measuring gas fluxes over agricultural fields and natural ecosystems. For many applications, it is desirable to partition the measured fluxes into constitutive components: the water vapor flux into transpiration and direct evaporation components, and the carbon dioxide flux into photosynthesis and respiration components. The flux variance similarity (FVS) partitioning method is based on flux variance similarity relationships and correlation analyses of high-frequency eddy covariance data (Scanlon and Sahu, 2008; Scanlon and Kustas, 2010, 2012). The FVS method is relatively complex computationally, and that complexity has likely been an impediment to greater use and testing of the procedure. In this work, we present a new algebraic solution to the key computational task in the partitioning algorithm, which significantly simplifies the FVS method. We also introduce Fluxpart, a free and open source Python 3 module that implements the FVS partitioning procedure. Example flux partitioning calculations are presented.
Agid:
5905006
Handle:
10113/5905006