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Custom Soil Moisture Model Code

Dates

Publication Date

Summary

Researchers developed a custom model that integrates gSSURGO soil property data with condensed climate data from PRISM (e.g., drought index) to predict fraction of available water for a given soil. The model was trained with in situ measured soil moisture data (point measurements) and expanded to spatial extent with gSSURGO maps and PRISM data. The code for the model was developed using a combination of statistical and GIS languages (R, Matlab, ArcGIS, etc.).

Contacts

Author :
Tyson Ochsner
Funding Agency :
South Central CASC

Attached Files

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R Code_Soil Moisture Model.zip 4.73 GB application/zip

Communities

  • National and Regional Climate Adaptation Science Centers
  • South Central CASC

Provenance

Data source
Input directly

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