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dc.creatorVuković, Ana
dc.creatorRajković, B.
dc.creatorJanjić, Z.
dc.date.accessioned2020-12-17T19:38:26Z
dc.date.available2020-12-17T19:38:26Z
dc.date.issued2010
dc.identifier.urihttp://aspace.agrif.bg.ac.rs/handle/123456789/2119
dc.description.abstractLand Ice Sea Surface model (LISS) is a new model for prediction of soil temperature and soil moisture. It is a part of the Non-hydrostatic Multi-scale Model on B-grid (NMM-B). The skin temperature, that represents the temperature of the interface between ground and air, is calculated from surface energy balance. It includes total influence of the soil processes and vegetation cover. Evapotranspiration is parameterized with β parameter that takes into account evaporation from the bare soil, evaporation from interception reservoir and transpiration of the plants. Model has four layers and one or more layers for snow, depending on its amount. Soil temperatures are calculated using Fourier diffusion law and water content using Darcy law. LISS has been tested using two different data sets (Caumont, France 1986; Bondville, USA 1998) as well as against NOAH-LSM simulations. Annual balance of energy and water showed numerical stability. The annual diurnal variation of surface temperature is close to the observed value. RMSE for the surface temperature is 1.9°C for Bonville site. Surface fluxes in 36-hour period of snow growth simulations for Bondville are close to the observed values.en
dc.publisher5th Biennial Conference of the International Environmental Modelling and Software Society: Modelling for Environment's Sake, iEMSs 2010
dc.rightsrestrictedAccess
dc.sourceModelling for Environment's Sake: Proceedings of the 5th Biennial Conference of the International En
dc.subjectLand surface modelen
dc.subjectSoil moistureen
dc.subjectSoil temperatureen
dc.subjectSurface parameterizationen
dc.titleLand Ice Sea Surface model: Short description and verificationen
dc.typeconferenceObject
dc.rights.licenseARR
dc.citation.epage371
dc.citation.other1: 364-371
dc.citation.spage364
dc.citation.volume1
dc.identifier.rcubconv_7545
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_agrospace_2119
dc.identifier.scopus2-s2.0-84858674121
dc.type.versionpublishedVersion


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