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SAGA GIS based processing of spatial high resolution temperature data

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dc.contributor.authorGerlitz, Lars
dc.contributor.authorBechtel, Benjamin
dc.contributor.authorZakšek, Klemen
dc.contributor.authorKawohl, Tobias
dc.contributor.authorBöhner, Jürgen
dc.contributor.editorPage, Bernd
dc.contributor.editorFleischer, Andreas G.
dc.contributor.editorGöbel, Johannes
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2019-09-16T03:13:37Z
dc.date.available2019-09-16T03:13:37Z
dc.date.issued2013
dc.description.abstractMany climate change impact studies require surface and near surface temperature data with high spatial and temporal resolution. The resolution of state of the arte climate models and remote sensing data is often by far to coarse to represent the meso- and microscale distinctions of temperatures. This is particularly the case for regions with a huge variability of topoclimates, such as mountainous or urban areas. Statistical downscaling techniques are promising methods to refine gridded temperature data with limited spatial resolution, particularly due to their low demand for computer capacity. This paper presents two downscaling approaches one for climate model output and one for remote sensing data. Both are methodically based on the FOSS-GIS platform SAGA.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol7995/0693.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/25914
dc.publisherShaker Verlag
dc.relation.ispartofProceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
dc.relation.ispartofseriesEnviroInfo
dc.titleSAGA GIS based processing of spatial high resolution temperature datade
dc.typeText/Conference Paper
gi.citation.publisherPlaceAachen
gi.conference.date2013
gi.conference.locationHamburg
gi.conference.sessiontitleGIS

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Environmental Informatics 2013