Automated Water Supply Model (AWSM) was designed to streamline the work-flow used by the USDA Agricultural Research Service (ARS) to forecast the water supply of multiple water basins. AWSM standardizes the steps needed to distribute met. data with SMRF, run a snow energy and mass balance with iSnobal or PySnobal, and process the results with SNOWAV, while maintaining the flexibility of each program.
- Automated & streamlined water supply forecasts
- Manages modules to perform each task
Weather data includes meteorologic station data, gridded Weather Research and
Forecasting Model (WRF) forecast data, and data from other atmospheric models.
Met. station weather data can be automatically downloaded, cleaned, and stored
with the WeatherDatabase tool.
Gridded weather models can be downloaded with the
weather_forecast_retrieval
tool. This data is used as input for SMRF.
Spatial Modeling for Resources Framework (SMRF) was developed by Dr. Scott Havens at the USDA Agricultural Research Service (ARS) in Boise, ID. SMRF 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.
- Distributes met. database
- Flexible and efficient
- Allows new models and functionality
iSnobal is a gridded energy-balance snowmelt model. It predicts storage, runoff, and other snow state parameters. iSnobal is driven by the gridded forcing data like the data output from SMRF. PySnobal is a Python wrapped implementation of iSnobal to allow for closer integration with other models and more run-time flexibility within the code.
Snow and Water model Analysis and Visualization (SNOWAV) was designed to standardize the processing of basin hydrologic summary information. SNOWAV summarizes total basin storage and change in storage, basin water inputs, and the state of basin snow-pack. SNOWAV generates succinct reports that include spatial distribution visualization and summary tables.
- Analytics and insights
- Spatial distribution visualizations
- Summary reports
Image Processing Workbench (IPW) is a collection of utilities to process digital images. IPW contains the energy-balance snowmelt models Snobal and iSnobal.
WeatherDatabase downloads and stores met. station data in an SQL database. It has the capability to maintain a raw data table, an auto cleaned data table, and a manually cleaned data table. This data can be read into SMRF for distribution over a specific domain.
Weather forecast retrieval gathers relevant gridded weather forecasts to ingest into physically based models for water supply forecasts.
inicheck is a high level configuration file checker enabling developers tight control over their users configuration files.
The basin setup tool is a python script designed to create the required inputs for running SMRF and AWSM simulations. The tool outputs a single netcdf file containing the necessary spatial information for a water basin This includes basin mask, DEM, veg type and height (from Landfire), veg tau, and veg K.