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GRASS GIS, commonly referred to as GRASS (Geographic Resources Analysis Support System), is a free and open source Geographic Information System (GIS) software suite used for geospatial data management and analysis, image processing, graphics and maps production, spatial modeling, and visualization. GRASS GIS is currently used in academic and commercial settings around the world, as well as by many governmental agencies and environmental consulting companies. It is a founding member of the Open Source Geospatial Foundation (OSGeo).

Environment Modules

Run module spider grass to find out what environment modules are available for this application.

System Variables

  • HPC_GRASS_DIR - installation directory

Additional Information

GRASS GIS, is installed within a container. Basic usage example:

module load grass
launch_grass <executable> <arguments>

where executables include



If you publish research that uses grass you have to cite it as follows:

Expand to view citation instructions.

Hofierka, J., Suri, M. (2002): The solar radiation model for Open source GIS: implementation and applications. Manuscript submitted to the International GRASS users conference in Trento, Italy, September 2002.

Hofierka, J. (1997). Direct solar radiation modelling within an open GIS environment. Proceedings of JEC-GI'97 conference in Vienna, Austria, IOS Press Amsterdam, 575-584.

Jenco, M. (1992). Distribution of direct solar radiation on georelief and its modelling by means of complex digital model of terrain (in Slovak). Geograficky casopis, 44, 342-355.

Kasten, F. (1996). The Linke turbidity factor based on improved values of the integral Rayleigh optical thickness. Solar Energy, 56 (3), 239-244.

Kasten, F., Young, A. T. (1989). Revised optical air mass tables and approximation formula. Applied Optics, 28, 4735-4738.

Kittler, R., Mikler, J. (1986): Basis of the utilization of solar radiation (in Slovak). VEDA, Bratislava, p. 150.

Krcho, J. (1990). <<above>>

Muneer, T. (1990). Solar radiation model for Europe. Building services engineering research and technology, 11, 4, 153-163.

Neteler, M., Mitasova, H. (2002): Open Source GIS: A GRASS GIS Approach, Kluwer Academic Publishers.

Page, J. ed. (1986). Prediction of solar radiation on inclined surfaces. Solar energy R&D in the European Community, series F – Solar radiation data, Dordrecht (D. Reidel), 3, 71, 81-83.

Page, J., Albuisson, M., Wald, L. (2001). The European solar radiation atlas: a valuable digital tool. Solar Energy, 71, 81-83.

Rigollier, Ch., Bauer, O., Wald, L. (2000). On the clear sky model of the ESRA - European Solar radiation Atlas - with respect to the Heliosat method. Solar energy, 68, 33-48.

Scharmer, K., Greif, J., eds., (2000). The European solar radiation atlas, Vol. 2: Database and exploitation software. Paris (Les Presses de l’ École des Mines).