Assessing Factorial Snow Model 2.0 Performance in Forest Terrain - With Experimental Sub-Canopy Micro-Meteorological Observations

dc.contributor.authorYttring, Hanna
dc.contributor.departmentChalmers tekniska högskola / Institutionen för arkitektur och samhällsbyggnadsteknik (ACE)sv
dc.contributor.examinerKarstunen, Minna
dc.date.accessioned2019-07-29T10:49:21Z
dc.date.available2019-07-29T10:49:21Z
dc.date.issued2019sv
dc.date.submitted2019
dc.description.abstractThis thesis is assessing the snow model FSM 2.0 in predictions of snow dynamics in forest terrain. Two versions of the model have been used. One with default settings and another with alternative local parameterizations of canopy characteristic for input data. Experimental data acquisition was conducted in sub-alpine forest terrain, during the 2019 snow season, Landwasser Valley of Graubunden Canton in Switzerland. Site locations were selected to cover dense and canopy gap structures. Processing and analyzing of field data was done in parallel to the field work. Observed data proves the significance of implementing local parameters in forest snow modeling. Results from the FSM 2.0 assessment show that using local canopy characteristics for the site characteristics input data, improves model predictions for incoming longwave radiaton for both dense and canopy gap sites. It also clearly improves incoming shortwave radiation for dense sites, and makes a fair prediction for canopy gap sites.sv
dc.identifier.coursecodeACEX20sv
dc.identifier.urihttps://hdl.handle.net/20.500.12380/300070
dc.language.isoengsv
dc.relation.ispartofseriesACEX20-19-43sv
dc.setspec.uppsokTechnology
dc.subjectSnow Hydrologysv
dc.subjectSnow modelsv
dc.subjectforest snowsv
dc.subjectsnow dynamicssv
dc.subjectsnow in forestsv
dc.subjectsub-canopy meteorological datasv
dc.subjectSnow Energy Balancesv
dc.subjectcanopy characteristicssv
dc.subjectLiDARsv
dc.subjectsmall scale canopy parameterssv
dc.titleAssessing Factorial Snow Model 2.0 Performance in Forest Terrain - With Experimental Sub-Canopy Micro-Meteorological Observationssv
dc.type.degreeExamensarbete för masterexamensv
dc.type.uppsokH
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