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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
High-realistic war similator tuned for WWII epoch and around. Over 9000 historical weapons, full world gridded geodata, including climate and population
{project abandoned in 2020 due to persistent stack smashing bug)
The latest ESMF development is happening in GitHub:
https://github.com/esmf-org/esmf
https://earthsystemmodeling.org
The Earth System Modeling Framework provides high-performance software infrastructure and superstructure for the construction and coupling of climate, weather, and data assimilation applications.
Ultrascale Visualization Climate Data Analysis Tools
Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT), is a powerful and complete front-end to a rich set of visual-data exploration and analysis capabilities well suited for climate-data analysis problems.
This project provides a Fortran90 library and a python module for singular spectrum analyses such as PCA/EOF or MSSA. It is intended for people interested, for example, in analysing climate or financial variability.
An object-oriented Fortran 2003 programming environment for implementing numerical environmental simulation models, including climate and weather prediction models.
MoDAVE aims at providing data analysis and visualization extensions to Mosaic datasets, including cubed sphere data, to the Climate Data Analysis Tools (CDATA)
in particular.
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This project provides a simple atmospheric model as a Fortran 90 library.
The model solves some of the most important processes of the tropical climate system, and is suitable for example for studying ocean/atmopshere interactions.
A planet-wide terrain generator, using simulated tectonic movements rather than fractals. Intended to produce richer information than just a heightmap - geology layers, climate, biomes, and resources.