Further information and tutorials are available in the companion repository here:

https://github.com/jnelson18/ecosystem-transpiration

TranspirationEstimationAlgorithm

A method of estimating transpiration directly from carbon, water, and energy fluxes, such as eddy covariance datasets.

For a brief introduction of how to use the code, please see the tutorial here.

For an extensive overview of how the method works, please see the associated publication:

Nelson, Jacob A., Nuno Carvalhais, Matthias Cuntz, Nicolas Delpierre, Jürgen Knauer, Jérome Ogée, Mirco Migliavacca, Markus Reichstein, and Martin Jung. Coupling Water and Carbon Fluxes to Constrain Estimates of Transpiration: The TEA Algorithm. Journal of Geophysical Research: Biogeosciences, December 21, 2018. https://doi.org/10.1029/2018JG004727.

Installation

Requirements:

• numpy
• scipy
• pyquantrf

Can be installed via anaconda:

conda install -c jnelson18 transpiration_estimation_algorithm

Additionally the ipynb can be run interactively:

• open a terminal

• download both the tutorial.ipynb and TestData into the same directory

• with jupyter installed (conda install jupyter) run:

  jupyter notebook tutorial.ipynb