Structural constraints in current stomatal conductance models preclude accurate estimation of evapotranspiration and its partitions

<p>This archive includes the scripts and related input data to produce results for the paper entitled - &quot;Structural constraints in current stomatal conductance models preclude accurate estimation of evapotranspiration and its partitions&quot;. Following is the description of files/folders:</p> <p>1. Input_Data: This folder contains all the required input data including FluxNet data, soil properties, quality controlled training-validation data, and metadata &amp; other supporting information of the sites.&nbsp;</p> <p>2. &nbsp;Model_EMP: This folder contains all the scripts for empirical model of stomatal conductance. (Note: Scripts have been written in MATLAB&quot;). No need to change anything except the MATLAB executive path in two files &quot;run_all_tasks_to_optimize_params.sh&quot; and &quot;prediction.sh&quot;. Read &quot;ReadMe.txt&quot; file in the folder &quot;Model_EMP&quot; for more instructions on running the model.&nbsp;</p> <p>3. Model_ML: This folder contains all the scripts for pure machine learning model of stomatal conductance. It contains four sub-folders: 1. Model_Config_1 (Model with configuration-1); 2. Model_Config_2_TEA (Model with Configuration-2 &amp; TEA-based T estimates); 3. Model_Config_2_uWUE (Model with Configuration-2 &amp; uWUE-based T estimates); 4. Model_Config_2_Yu22 (Model with Configuration-2 &amp; Yu22-based T estimates). Further instructions have been given in each jupyter notebooks. Briefly, in folder &quot;Model_Config_1&quot;, the notebook &quot;train_ML_config_1.ipynb&quot; trains the model parameters and notebook &quot;Predictions_ML_config_1&quot; is used to do predictions. Similar instructions apply for other subfolders. (Note: Scripts have been written in Python Language&quot;). All the scripts are fully functional as long as all the required modules are installed.</p> <p>4. Model_PH_exp: This folder contains all the scripts for plant hydraulics model with explicit representation. All the scripts are self explanatory and further instructions are provided in the scripts as needed. (Note: Scripts have been written in Python Language&quot;). All the scripts are fully functional as long as all the required modules are installed.</p> <p>5. Model_PN_imp: This folder contains all the scripts for plant hydraulics model with implicit representation. Instructions given for &quot;Model_ML&quot; are applicable here. (Note: Scripts have been written in Python Language&quot;). All the scripts are fully functional as long as all the required modules are installed.<br> &nbsp;</p> <p>Versions: Tensorflow 2.11.0, MATLAB_R2022a, Python 3.10.9</p>