Skip to content

KarinaAsmar-NOAA/global-workflow

 
 

Repository files navigation

Read The Docs Status shellnorms pynorms

Custom badge Custom badge

global-workflow

Global Workflow currently supporting the Global Forecast System (GFS) with the UFS-weather-model and GSI-based Data Assimilation System.

The global-workflow depends on the following prerequisities to be available on the system:

  • Workflow Engine - Rocoto and ecFlow (for NWS Operations)
  • Compiler - Intel Compiler Suite
  • Software - NCEPLIBS (various), ESMF, HDF5, NetCDF, and a host of other softwares (see module files under /modulefiles for additional details)

The global-workflow current supports the following tier-1 machines:

  • NOAA RDHPCS - Hera
  • MSU HPC - Orion
  • MSU HPC - Hercules
  • NOAA's operational HPC - WCOSS2

Additionally, the following tier-2 machine is supported:

  • SSEC at Univ. of Wisconsin - S4 (Note that S2S+ experiments are not fully supported)

Documentation (in progress) is available here.

Disclaimer

The United States Department of Commerce (DOC) GitHub project code is provided on an "as is" basis and the user assumes responsibility for its use. DOC has relinquished control of the information and no longer has responsibility to protect the integrity, confidentiality, or availability of the information. Any claims against the Department of Commerce stemming from the use of its GitHub project will be governed by all applicable Federal law. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by the Department of Commerce. The Department of Commerce seal and logo, or the seal and logo of a DOC bureau, shall not be used in any manner to imply endorsement of any commercial product or activity by DOC or the United States Government.

About

Global Superstructure/Workflow supporting the Global Forecast System (GFS)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Shell 61.2%
  • Python 31.1%
  • Jinja 5.0%
  • Lua 1.1%
  • Perl 1.0%
  • DIGITAL Command Language 0.2%
  • Other 0.4%