MeetingOfInterest:Meeting-262
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Dani Or
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OLAM is a state-of-the-art global model that features local mesh refinement and a full set of physical processes (e.g., dynamics, radiative transfer and precipitation) designed for global, mesoscale, and microscale land and atmosphere simulations. OLAM was originally based on RAMS but employs more advanced numerical algorithms and sophisticated grid representations. Soil and groundwater capabilities of OLAM are being revised in a project called: OLAM-SOIL. The goals are to improve land-atmosphere interactions in OLAM-SOIL by incorporating advanced representation of soil processes, towards a new global Advanced Soil Modeling Platform (ASMP). Zooming capabilities and handling of soil and subsurface processes makes OLAM-SOIL an ideal tool for regional studies centering on soil processes (e.g., irrigation water management, future crops, etc.). The OLAM-SOIL project was conceived in collaboration with GEWEX-SOILWAT initiative and the International Soil Modeling Consortium (ISMC). OLAM-SOIL development is a collaboration between University of Miami, Forschungszentrum Juelich GmbH); International Soil Reference and Information Centre and ETH Zurich. The OLAM-SOIL Team
Dani Or, Robert Walko, Simone Fatichi, Harry Vereecken, Stefan Kollet, Roni Avissar, Tom Hengl, Teamrat Ghezzehei, Michael Young and Kris van Looy (ISMC)