Earth Engine based DisALEXI Model
Project description
This repository provides an Earth Engine Python API based implementation of the DisALEXI ET model.
Examples
Jupyter notebooks are provided in the “examples” folder that show various approaches for calling the OpenET DisALEXI model.
Installation
The OpenET DisALEXI python module can be installed via pip:
pip install openet-disalexiDependencies
Modules needed to run the model:
Modules needed to run the test suite:
OpenET Namespace Package
Each OpenET model should be stored in the “openet” folder (namespace). The benefit of the namespace package is that each ET model can be tracked in separate repositories but called as a “dot” submodule of the main openet module,
import openet.disalexi as disalexiReferences
Anderson, M. C., J. M. Norman, J. R. Mecikalski, J. A. Otkin, and W. P. Kustas (2007), A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation, J. Geophys. Res., 112, D10117, doi:10.1029/2006JD007506.
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