SPARROW: Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States
Science Center Objects
The national databases used in USGS SPARROW models are available for download. Attributes from the NHDPlus data set, such as climate, geology, soils, land cover, hydrologic variables, physical characteristics, chemicals, and nutrients, are available for all catchments in the digital stream networks (1:500K scale).
Visit the national USGS SPARROW website for a complete overview of SPARROW modeling.
CLIMATE
These data sets represent the average for each climatic variable for NHDPlus catchments in the conterminous United States.
- Average Annual Precipitation, (1971-2000)
- Average Daily Annual Minimum Temperature, (1971-2000)
- Average Daily Annual Maximum Temperature, (1971-2000)
- Annual Daily Minimum Temperature Celsius, (2002)
- Annual Daily Maximum Temperature Celsius, (2002)
GEOLOGY/SOILS
These data sets represent the area of each variable type in square meters compiled for NHDPlus catchments in the conterminous United States.
- Bedrock Geology
- Surficial Geology
- STATSGO Soil Data (cation exchange capacity, percent calcium carbonate, slope, water table depth, soil thickness, hydrologic soil group, soil erodibility (k-factor), permeability, average water capacity, bulk density, percent organic material, percent clay, percent sand, and percent silt)
LAND
These data sets represent the estimated area of each variable type in square meters compiled for NHDPlus catchments in the conterminous United States.
- National Land Cover Dataset 2001
- Hydrologic Landscape Regions
- Level III EcoRegions
- Nutrient EcoRegions
- 2000 Population Density
- 2001 Percent Impervious Surface
- 2001 Percent Canopy
- Artificial Drainage - National Resource Inventory: Tile Drains, Ditches, Total Artificial Drainage and Irrigated Area
- Physiography
HYDROLOGIC VARIABLES
These data sets represent the average for each flow variable for NHDPlus catchments in the conterminous United States.
- Base Flow Index
- Recharge
- Contact Time
- Infiltration Excess Overland Flow
- Saturation Excess Overland Flow
- Mean Annual R-factor
PHYSICAL MEASURES
CHEMICAL
These data sets represent the average or total of each variable compiled for NHDPlus catchments in the conterminous United States.
- Nutrients
- Nutrient and Phosphorous estimates for Fertilizer and Manure Applied to Crops
- 2002 Atmospheric Depostion
- Normalized Atmospheric Depostion 2002: NH4
- Normalized Atmospheric Depostion 2002: NO3
- Normalized Atmospheric Depostion 2002: Total N
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Date published: March 4, 2019Status: ActiveSPARROW modeling: Estimating nutrient, sediment, and dissolved solids transport
SPARROW (SPAtially Referenced Regressions On Watershed attributes) models estimate the amount of a contaminant transported from inland watersheds to larger water bodies by linking monitoring data with information on watershed characteristics and contaminant sources. Explore relations between human activities, natural processes, and contaminant transport using interactive Mappers.
Contacts: Stephen D Preston, David A Saad
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Date published: February 27, 2019Status: Active
Everything you need to know about SPARROW
What is SPARROW? SPARROW (SPAtially Referenced Regressions On Watershed attributes) is a watershed modeling technique for relating water-quality measurements made at a network of monitoring stations to attributes of the watersheds such as contaminant sources and environmental factors that affect rates of delivery to streams and in-stream processing. The core of the model...
Contacts: Stephen D Preston, David A SaadAttribution: Water Resources, National Water Quality Program -
Date published: February 24, 2019Status: ActiveSPARROW: Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States
The national databases used in USGS SPARROW models are available for download. Attributes from the RF1 data set, such as climate, geology, soils, land cover, hydrologic variables, physical characteristics, chemicals, and nutrients, are available for all catchments in the digital stream networks (1:100K scale).
Contacts: Stephen D Preston, David A SaadAttribution: Water Resources