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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.

Highlights

  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

Features
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
FieldValue
Tags
Modified
2019-08-05
Release Date
2018-08-21
Publisher
USDA Agricultural Research Service
License
Contact Name
Havens, Scott
Contact Email
Public Access Level
Public
Program Code
005:037 - Department of Agriculture - Research and Education
Bureau Code
005:18 - Agricultural Research Service
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