Achla Jha
Texas A&M University
|
Graduate Student
Subject Areas: | Ecohydrology, Earth system modeling |
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ABSTRACT:
This resource includes the Python scripts used to draw figures for the manuscript entitled " A Soil Structure-Based Modeling Approach to Heterotrophic Respiration." The folder soil-heterogeneity-respiration contains following Jupyter notebooks with their description:
Figure 1.ipynb file contains the code used to draw Figure 1 showing CDF of truncated gamma aggregate size distribution compared to the literature data.
Figure 2.ipynb file contains the code used to draw Figure 2 showing how the model captured the effect of land uses on SOC in different aggregate size classes.
Figure 3.ipynb file contains the code used to draw Figure 3 depicting the relationship of different biophysical factors controlling the soil microbial respiration at a relative soil moisture content.
Figure 4.ipynb file contains the code used to draw Figure 4 depicting moisture-respiration relationship for different heterogeneity scenarios.
Figure 5.ipynb file contains the code used to draw Figure 5 depicting moisture-respiration curves for homogeneous vs heterogeneous scenarios.
To find the updated version of the codes, visit the GitHub link: https://github.com/Achla-Jha/soil-heterogeneity-respiration.git
ABSTRACT:
This resource includes the Python scripts of the modeling framework, simulation result CSV files, and the figures for the manuscript entitled 'Linking Soil Structure, Hydraulic Properties, and Organic Carbon Dynamics: A Holistic Framework to Study the Impact of Climate Change and Land Management.' results_simulations_constant_porosity.csv file contains the simulation results of the modeling framework at constant porosity. results_simulations_dynamic_porosity.csv file contains the simulation results of the modeling framework at dynamic porosity. model_constant_phi is the python script with the description of the modeling framework at a constant porosity that needs to be imported and run along with the simulation constant porosity Jupyter notebook to obtain the simulation results at constant porosity. model_dynamic_phi is the python script describing the modeling framework at a dynamic porosity that needs to be imported and run along with the simulation dynamic porosity notebook to obtain the simulation results at dynamic porosity.
Figure 3 and Figure 4 Jupyter notebooks have the codes for those plots in the manuscript.
To find the updated version of the codes, visit the GitHub link: https://github.com/Achla-Jha/Soil-Structure.git.
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Created: Jan. 10, 2023, 8:46 p.m.
Authors: Jha, Achla
ABSTRACT:
This resource includes the Python scripts of the modeling framework, simulation result CSV files, and the figures for the manuscript entitled 'Linking Soil Structure, Hydraulic Properties, and Organic Carbon Dynamics: A Holistic Framework to Study the Impact of Climate Change and Land Management.' results_simulations_constant_porosity.csv file contains the simulation results of the modeling framework at constant porosity. results_simulations_dynamic_porosity.csv file contains the simulation results of the modeling framework at dynamic porosity. model_constant_phi is the python script with the description of the modeling framework at a constant porosity that needs to be imported and run along with the simulation constant porosity Jupyter notebook to obtain the simulation results at constant porosity. model_dynamic_phi is the python script describing the modeling framework at a dynamic porosity that needs to be imported and run along with the simulation dynamic porosity notebook to obtain the simulation results at dynamic porosity.
Figure 3 and Figure 4 Jupyter notebooks have the codes for those plots in the manuscript.
To find the updated version of the codes, visit the GitHub link: https://github.com/Achla-Jha/Soil-Structure.git.

Created: Sept. 16, 2024, 10:15 p.m.
Authors: Jha, Achla
ABSTRACT:
This resource includes the Python scripts used to draw figures for the manuscript entitled " A Soil Structure-Based Modeling Approach to Heterotrophic Respiration." The folder soil-heterogeneity-respiration contains following Jupyter notebooks with their description:
Figure 1.ipynb file contains the code used to draw Figure 1 showing CDF of truncated gamma aggregate size distribution compared to the literature data.
Figure 2.ipynb file contains the code used to draw Figure 2 showing how the model captured the effect of land uses on SOC in different aggregate size classes.
Figure 3.ipynb file contains the code used to draw Figure 3 depicting the relationship of different biophysical factors controlling the soil microbial respiration at a relative soil moisture content.
Figure 4.ipynb file contains the code used to draw Figure 4 depicting moisture-respiration relationship for different heterogeneity scenarios.
Figure 5.ipynb file contains the code used to draw Figure 5 depicting moisture-respiration curves for homogeneous vs heterogeneous scenarios.
To find the updated version of the codes, visit the GitHub link: https://github.com/Achla-Jha/soil-heterogeneity-respiration.git