Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Light model and GPP estimates for 173 U.S. rivers

Metadata Updated: July 6, 2024

This data release contains products from Savoy & Harvey (2021) which modeled photosynthetically active radiation and gross primary productivity (GPP) for 173 streams and rivers across the continental United States. Estimates of photosynthetically active radiation (PAR) were generated using a model that considers the contribution of light attenuation from riparian zones as well as within the water column. PAR estimates at the stream surface and within the water are both provided and each of these two estimates were converted to GPP estimates using a fixed light use efficiency. Items in this data release consist of: site information and parameters.txt : Information on site identifiers, location information, and model parameters. The format is a tab-delimted file with 1 row per site. model inputs and outputs.zip: Timeseries of the necessary input data used to estimate photosynthetically active radiation as well as the resulting modeled estimates. The format is a tab-delimited file for each site that contains all model inputs and outputs at hourly timesteps. model validation dataset.txt: A common validation set for estimates of gross primary productivity generated from estimated light and a fixed light use efficiency. This dataset represents a subset of all predictions where all necessary data was available and independent estimates of gross primary productivity from Appling et al. (2018) (https://www.sciencebase.gov/catalog/item/59bff507e4b091459a5e0982) were also available. The format is a single compiled tab-delimited file with 1 row per site-day. loaded_environment.RData: An R environment with all site parameters, model driver files, and model source code from this data release pre-loaded. StreamLight_0.2.0.zip: Model source code for StreamLight v0.2.0 built as a binary package. model_instructions.html: An example markdown file is included to give a brief summary of the model and a demonstration of running the model. This work was supported by the USGS Water Availability and Use Science Program.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/19edbef222872b90306e2a226c1e7c33
Identifier USGS:5f974adfd34e198cb77db168
Data Last Modified 20210512
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 79bdc0b6-5c9a-4d5a-b2d7-c7b729f8aa21
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -123.7251,27.9378,-71.2734,47.9269
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash af43ce0bed9d92ff4c66ebbe26110881c46b64e984022c2c6b109509e2918954
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -123.7251, 27.9378, -123.7251, 47.9269, -71.2734, 47.9269, -71.2734, 27.9378, -123.7251, 27.9378}

Didn't find what you're looking for? Suggest a dataset here.