Skip to content
forked from amanzi/ats

Advanced Terrestrial Simulator (ATS) development

License

Notifications You must be signed in to change notification settings

saubhagya-gatech/ats

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ATS: The Advanced Terrestrial Simulator

The Advanced Terrestrial Simulator (formerly sometimes known as the Arctic Terrestrial Simulator) is a code for solving ecosystem-based, integrated, distributed hydrology.

Capabilities are largely based on solving various forms of Richards equation coupled to a surface flow equation, along with the needed sources and sinks for ecosystem and climate models. This can (but need not) include thermal processes (especially ice for frozen soils), evapo-transpiration, albedo-driven surface energy balances, snow, biogeochemistry, plant dynamics, deformation, transport, and much more.

Join the Community

ATS is more than just a code, but a community of users with a lot of experience in both integrated hydrology, Arctic hydrology, and ATS code development. Please join us on our google group. We try very hard to create a welcoming community that supports and enables our users to do their science.

Installation

ATS is now built as a part of Amanzi directly. Please see the ATS installation instructions on Amanzi's site.

Documentation

Documentation is a work in progress, but includes a large suite of example problems.

License and Copyright

Please see the LICENSE and COPYRIGHT files included in the top level directory of your ATS download.

Citation

E.T. Coon, M. Berndt, A. Jan, D. Svyatsky, A.L. Atchley, E. Kikinzon, D.R. Harp, G. Manzini, E. Shelef, K. Lipnikov, R. Garimella, C. Xu, J.D. Moulton, S. Karra, S.L. Painter, E. Jafarov, and S. Molins. 2020. Advanced Terrestrial Simulator. U.S. Department of Energy, USA. Version 1.0. DOI: 10.11578/dc.20190911.1

About

Advanced Terrestrial Simulator (ATS) development

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • C++ 72.8%
  • Python 12.7%
  • Jupyter Notebook 12.5%
  • CMake 1.3%
  • Fortran 0.5%
  • Shell 0.1%
  • Makefile 0.1%