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
1-Oct-19
User Manual
go to documentation at pubs.usgs.gov