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

Description

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.

Resources

Name Format Description Link
0 https://zenodo.org/records/15782221
57 PythonPrograms.zip https://pasteur.epa.gov/uploads/10.23719/1532399/PythonPrograms.zip
10 Readme2.docx https://pasteur.epa.gov/uploads/10.23719/1532399/Readme2.docx
33 Penobscot_SSN_predictionpoints.pdf https://pasteur.epa.gov/uploads/10.23719/1532399/Penobscot_SSN_predictionpoints.pdf
33 Penobscot_SSN_observationsite.pdf https://pasteur.epa.gov/uploads/10.23719/1532399/Penobscot_SSN_observationsite.pdf
33 Penobscot_SSN_edges.pdf https://pasteur.epa.gov/uploads/10.23719/1532399/Penobscot_SSN_edges.pdf
57 Miller_etal_2018_data_manipulation_protocol.zip https://pasteur.epa.gov/uploads/10.23719/1532399/Miller_etal_2018_data_manipulation_protocol.zip
53 DataDictionary.xlsx https://pasteur.epa.gov/uploads/10.23719/1532399/DataDictionary.xlsx

Tags

  • temperature-model
  • penobscot-river
  • shading
  • streams

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Categories