Integrated hydrologic model development and postprocessing for GSFLOW using pyGSFLOW

Integrated hydrologic model development and postprocessing for GSFLOW using pyGSFLOW - Published in JOSS (2022)

https://github.com/pygsflow/pygsflow.git

Science Score: 87.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 7 months ago · JSON representation

JOSS Publication

Integrated hydrologic model development and postprocessing for GSFLOW using pyGSFLOW
Published
April 20, 2022
Volume 7, Issue 72, Page 3852
Authors
Joshua D. Larsen
U.S. Geological Survey, California Water Science Center, Sacramento, CA
Ayman Alzraiee
U.S. Geological Survey, California Water Science Center, Sacramento, CA
Richard G. Niswonger
U.S. Geological Survey, Integrated Modeling and Prediction Division, Water Mission Area, Menlo Park, CA
Editor
Chris Vernon ORCID
Tags
hydrology integrated hydrologic modeling groundwater surfacewater GSFLOW MODFLOW PRMS