This project contains experimental Python code for the Three Source Energy Balance (3SEB) model using a nested double Priestley-Taylor intialization (ThreeSEB_PT) for estimating sensible and latent heat flux (evapotranspiration) based on measurements of radiometric surface temperature over tree-grass ecosystems.
3SEB is a modified version of Two-Source Energy Balance (TSEB) model (Norman et al. 1995). It incorporates an additional vegetation source within its model structure (i.e., overstory vegetation, understory vegetation and soil). It largely uses and is based on functions developed from the python implementation of TSEB (pyTSEB, which can be found here: https://github.com/hectornieto/pyTSEB/).
This repository contains a high-level script (Main_run3SEB_ground.py) to run 3SEB with the example datasets provided in Inputs using data from:
AU-Dry (Obtained from Ozflux portal: https://www.ozflux.org.au/monitoringsites/dryriver/)
ES-LM1 (Obtained from Zenodo public repository: https://zenodo.org/record/4453567#.YWMEDNpByyw)
ES-Abr (Obtained from Zenodo public repository: https://zenodo.org/record/3707842#.YWMEAtpByyz)
US-Ton (Obtained from Ameriflux portal: https://ameriflux.lbl.gov/sites/siteinfo/US-Ton)
The script Functions_3SEB.py provides the core functions necessary to run 3SEB.
The following Python libraries will be required:
- pyTSEB: https://github.com/hectornieto/pyTSEB/
- Numpy
- pandas
- matplotlib
With conda, you can create a complete environment with
conda env create -f environment.ymlor with pip:
pip install -r requirements.txtThen you can install py3SEB as:
pip install ./- Main_run3SEB_ground.py high level scripts for running ThreeSEB_PT with the example inputs
The low-level module in this project is aimed at providing customisation and more flexibility in running 3SEB. The following module is included:
- ./py3seb/pyseb.py
core functions for running different 3SEB models (
ThreeSEB_PT(*args,**kwargs)).
The folders .Inputs/Meteo_data and .Inputs/Veg_data contains the example for running 3SEB. Just run the high-level scripts Main_run3SEB_ground.py and see the resulting outputs stored in ./Output/
- Burchard-Levine V, Nieto H, Riaño D, Migliavacca M, El-Madany TS, Perez-Priego O, Carrara A, Martín MP. Seasonal Adaptation of the Thermal-Based Two-Source Energy Balance Model for Estimating Evapotranspiration in a Semiarid Tree-Grass Ecosystem. Remote Sensing. 2020; 12(6):904. doi: 10.3390/rs12060904
- Norman, J. M., Kustas, W. P., Prueger, J. H., and Diak, G. R.: Surface flux estimation using radiometric temperature: a dual-temperature-difference method to minimize measurement errors, Water Resour. Res., 36, 2263, doi: 10.1029/2000WR900033, 2000
- Norman, J., Kustas, W., and Humes, K.: A two-source approach for estimating soil and vegetation fluxes from observations of directional radiometric surface temperature, Agr. Forest Meteorol., 77, 263–293, doi: 10.1016/0168-1923(95)02265-Y, 1995
- Kustas, W. P. and Norman, J. M.: A two-source approach for estimating turbulent fluxes using multiple angle thermal infrared observations, Water Resour. Res., 33, 1495–1508, 199
- Kustas, W. P. and Norman, J. M.: Evaluation of soil and vegetation heat flux prediction using a simple two-source model with radiometric temperatures for partial canopy cover, Agr. Forest Meteorol., 94, 13–29, 199
- Guzinski, R., Nieto, H., Stisen, S., and Fensholt, R.: Inter-comparison of energy balance and hydrological models for land surface energy flux estimation over a whole river catchment, Hydrol. Earth Syst. Sci., 19, 2017-2036, doi:10.5194/hess-19-2017-2015, 2015.
- William P. Kustas, Hector Nieto, Laura Morillas, Martha C. Anderson, Joseph G. Alfieri, Lawrence E. Hipps, Luis Villagarcía, Francisco Domingo, Monica Garcia: Revisiting the paper “Using radiometric surface temperature for surface energy flux estimation in Mediterranean drylands from a two-source perspective”, Remote Sensing of Environment, In Press. doi:10.1016/j.rse.2016.07.024.
- Vicente Burchard-Levine [email protected] [email protected] main developer
- Hector Nieto [email protected] [email protected] TSEB modeling, tester
- William P. Kustas TSEB modeling, tester
3SEB: a Python Three Source Energy Balance Model
Copyright 2020 Vicente Burchard-Levine and contributors.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.