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pySnobal

model
posted on 2024-02-16, 15:37 authored by Scott C. Havens, Daniel G. Marks, Micah Sandusky, Andrew Hedrick, Micah Johnson, Mark Robertson

Python implementation of the Snobal model applied at either a point or over an image (iSnobal). This package contains the C libraries of Snobal in a python wrapper for more flexibility and ease of interaction. ipysnobal.py has functions for general interaction. More detailed and flexible functions can be found in the Automated Water Supply Model (AWSM). Features:

  • cythonized version of iSnobal
  • packaged up
  • can take variables from SMRF memory or read in inputs to run iSnobal
  • designed to work within AWSM framework


    Resources in this dataset:

Funding

USDA-ARS

History

Data contact name

Havens, Scott

Data contact email

scott.havens@ars.usda.gov

Publisher

USDA Agricultural Research Service

Theme

  • Not specified

ISO Topic Category

  • climatologyMeteorologyAtmosphere
  • environment
  • geoscientificInformation
  • inlandWaters
  • location

National Agricultural Library Thesaurus terms

models; Agricultural Research Service; meteorological data; watersheds; databases; climate models; air temperature; vapor pressure; snow; wind speed; solar radiation; thermal radiation; application programming interface; watershed hydrology; statistical analysis; United States; mountains; climate; snowpack; streams; irrigation; flood control; power generation; ecosystem services; water supply; climate change; managers

OMB Bureau Code

  • 005:18 - Agricultural Research Service

OMB Program Code

  • 005:040 - National Research

ARS National Program Number

  • 211

Pending citation

  • No

Public Access Level

  • Public

Preferred dataset citation

Scott Havens, Danny Marks, Micah Sandusky, Andrew Hedrick, Micah Johnson, & Mark Robertson. (2018, July 11). PySnobal (Version v0.2.0). Zenodo. http://doi.org/10.5281/zenodo.1309969