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Spatial Modeling for Resources Framework (SMRF)

Spatial Modeling for Resources Framework (SMRF) was developed at the USDA Agricultural Research Service (ARS) in Boise, ID, and was designed to increase the flexibility of taking measured weather data and distributing the point measurements across a watershed. SMRF was developed to be used as an operational or research framework, where ease of use, efficiency, and ability to run in near real time are high priorities.


  1. Robust meteorological spatial forcing data development for physically based models
  2. The Python framework can be used for research or operational applications
  3. Parallel processing and multi-threading allow for large modeling domains at high resolution
  4. Real time and historical applications for water supply resourses

SMRF was developed as a modular framework to enable new modules to be easily intigrated and utilized.

  • Load data into SMRF from MySQL database, CSV files, or gridded climate models (i.e. WRF)
  • Variables currently implemented: Air temperature; Vapor pressure; Precipitation mass, phase, density, and percent snow; Wind speed and direction; Solar radiation; Thermal radiation
  • Output variables to NetCDF files
  • Data queue for multithreaded application
  • Computation tasks implemented in C

Dataset Info

These fields are compatible with DCAT, an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.
Havens, Scott C.
Marks, Daniel G.
Kormos, Patrick R.
Hedrick, Andrew
Johnson, Micah
Sandusky, Micah
Robertson, Mark
Product Type
Software tool
Intended Use
To increase the flexibility of taking measured weather data and distributing the point measurements across a watershed.
USDA Agricultural Research Service
Contact Name
Havens, Scott
Contact Email
Public Access Level
Preferred Dataset Citation
Havens, Scott, Marks, Danny, Kormos, Patrick, & Hedrick, Andrew. (2017, September 20). Spatial Modeling for Resources Framework (SMRF). Zenodo. https://doi.org/10.5281/zenodo.898158
Primary Article

Havens, S., Marks, D., Kormos, P., Hedrick, A. (2017). Spatial Modeling for Resources Framework (SMRF): A modular framework for developing spatial forcing data for snow modeling in mountain basins. Computers & Geosciences, 109:295-304

Cites Other Datasets
Funding Source(s)
Agricultural Research Service
Dataset DOI (digital object identifier)
Program Code
005:037 - Department of Agriculture - Research and Education
Bureau Code
005:18 - Agricultural Research Service
Modified Date
Release Date
Ag Data Commons Keywords: 
  • Agroecosystems & Environment
  • Weather and Climate
  • Agroecosystems & Environment
  • Agroecosystems & Environment
  • Water
  • Agroecosystems & Environment
  • Soil
  • Maps & Multimedia
  • GIS Data and Images
  • Maps & Multimedia