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Irrigation Practices Modeling Framework

model
posted on 2025-12-12, 16:28 authored by SHASHANK KUMAR ANANDSHASHANK KUMAR ANAND, Lornzo Rosa, Binayak Mohanty, Nithya Rajan, Salvatore Calabrese
<p dir="ltr">This repository contains three Jupyter notebooks designed to simulate crop growth and soil processes under different water management scenarios:</p><ul><li>Drip irrigation</li><li>Sprinkler irrigation</li><li>Rainfed (serving as a control scenario without irrigation)</li></ul><p dir="ltr">Each notebook performs a growing season simulation of:</p><ul><li>Vertically integrated soil moisture dynamics</li><li>Crop biomass growth</li><li>Soil greenhouse gas (GHG) emissions</li></ul><p dir="ltr">The notebooks take as input a NumPy array representing rainfall distribution. As an example, the file rain_Lubbock_lbd0p18_aphp0096.npy, provided here, contains 200 seasons of a typical 140-day growing season of rainfall representative of the Texas High Plains.</p><p dir="ltr">For the example simulations, we use soil, weather, and crop parameters representative of the corn growing season in the Texas High Plains, a major agricultural region in the United States that relies heavily on irrigation for sustainable production.</p>

Funding

Climate-Smart Irrigation: An Opportunity for Water Resource Conservation, Climate Change Mitigation, and Carbon Market Integration

National Institute of Food and Agriculture

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History

Data contact name

Anand, Shashank Kumar

Data contact email

skanand@tamu.edu

Publisher

Zenodo

Intended use

This repository contains three Jupyter notebooks developed to simulate crop growth and soil processes under different water management scenarios, including drip irrigation, sprinkler irrigation, and rainfed conditions. Each notebook performs a growing-season simulation of vertically integrated soil moisture dynamics, crop biomass growth, and soil microbial respiration.

Use limitations

The model is designed for daily field-scale dynamics with limited consideration of topography. Moreover, daily rainfall in the simulation setup is assumed to be statistically stationary at the growing-season scale.

Temporal Extent Start Date

2025-02-10

Temporal Extent End Date

2025-11-24

Theme

  • Non-geospatial

ISO Topic Category

  • environment

National Agricultural Library Thesaurus terms

models; computer software; water management; microirrigation; sprinkler irrigation; growing season; soil water; biomass; rain; Texas; corn

OMB Bureau Code

  • 005:20 - National Institute of Food and Agriculture

Pending citation

  • No

Public Access Level

  • Public

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