This repository provides an Earth Engine Python API based implementation of the DisALEXI ET model.
Jupyter notebooks are provided in the "examples" folder that show various approaches for calling the OpenET DisALEXI model.
The OpenET DisALEXI python module can be installed via pip:
pip install openet-disalexi
Modules needed to run the model:
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 disalexi
[Anderson2007JGR] | 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. |