The Ocean Land Atmosphere Model (OLAM) is a new global general circulation/climate prediction model that will allow to “nest down” to any desired resolution using a flexible mesh refinement technique that works on either triangular or hexagonal g

Project Activity

See All Activity >

Categories

Earth Sciences

License

GNU General Public License version 2.0 (GPLv2)

Follow Ocean Land Atmosphere Model

Ocean Land Atmosphere Model Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Ocean Land Atmosphere Model!

Additional Project Details

Operating Systems

BSD, IBM AIX, Linux

Intended Audience

Science/Research

User Interface

Command-line

Programming Language

Fortran

Related Categories

Fortran Earth Sciences Software

Registered

2011-07-09