Spatial Stream Network Object Supporting Stream Temperature Model for Penobscot River Basin, Maine, USA

High resolution spatial stream network (SSN) models are needed to predict stream temperature distributions across large basins at a fine scale, to identify thermal refuge areas for conservation and protection, and to predict the effects of weather variation and management actions on coldwater habitat.  EPA has been working with the Penobscot tribe and Maine Temperature Monitoring Working Group to plan development of a fine scale temperature model for the Penobscot River basin in Maine.  This suite of datasets with supporting Python code provides calibration and prediction covariates for a fine resolution SSN model for the Penosbscot.  Included are an SSN object with catchment covariates, associated Python code and metadata.  At this point model development has not been initiated.

Data e Risorse

Campo Valore
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
identifier https://doi.org/10.23719/1532399
license https://pasteur.epa.gov/license/sciencehub-license.html
modified 2025-06-06
programCode {020:000}
publisher U.S. EPA Office of Research and Development (ORD)
publisher_hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
resource-type Dataset
source_datajson_identifier true
source_hash fa45dbb4e2292d9752ea08b5091d86bad46909ed47bd4e77b51bc55fec13f7b5
source_schema_version 1.1
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • penobscot-river
  • shading
  • streams
  • temperature-model
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Naomi Detenbeck
maintainer_email detenbeck.naomi@epa.gov
metadata_created 2025-09-24T08:06:16.794142
metadata_modified 2025-09-24T08:06:16.794152
notes High resolution spatial stream network (SSN) models are needed to predict stream temperature distributions across large basins at a fine scale, to identify thermal refuge areas for conservation and protection, and to predict the effects of weather variation and management actions on coldwater habitat.  EPA has been working with the Penobscot tribe and Maine Temperature Monitoring Working Group to plan development of a fine scale temperature model for the Penobscot River basin in Maine.  This suite of datasets with supporting Python code provides calibration and prediction covariates for a fine resolution SSN model for the Penosbscot.  Included are an SSN object with catchment covariates, associated Python code and metadata.  At this point model development has not been initiated.
num_resources 8
num_tags 12
title Spatial Stream Network Object Supporting Stream Temperature Model for Penobscot River Basin, Maine, USA