SPARROW
SPAtially Referenced Regression On Watershed attributes
SPARROW (SPAtially Referenced Regressions On Watershed attributes) is a watershed model using statistical regression techniques to predict regional water quality based on the correlation of measured contaminants and other spatially resolved variables.
- Developer
- USGS
- Model Information
- For more information about this model, go to water.usgs.gov
- Spatial Resolution
- Spatial resolution is dependent on data resolution. Typically the resolution is on the river reach scale. A small scale can result in over parameterization. Larger spatial models can be unwieldy to use.
- Temporal Resolution
- Time independent version of the model uses averages. Dynamic version of the model specifies a temporal resolution based on the time steps of the monitoring data used. The model is designed for evaluating long term steady state conditions.
- Outputs
- Outputs specifics include water quality characteristics.
- Intended User
- practitioner
- Model Type
- watershed
- Inclusion of Climate Change
- Limited capability to capture climate effects as input data are based on statistical analysis of historical monitoring data measuring flows and land usage.
- Geographic Region
- generalized
- Data Requirements
- data provided by the user
- Source Code Availability
- open source
- Dimensions
- 2d
- Computational Burden
- medium
- Scenario Modeling
- unknown
- Coding Language
- macros
- Operating System
- not applicable
- Mathematical Approach
- deterministic
- Maintenance Plan
- maintained
- Date of Last Known Update
- not available
- User Manual
- go to documentation at pubs.usgs.gov
For more information and definitions of terms, see the codebook. Do you have feedback about this tool?