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dc.contributorHuerta Guijarro, Joaquín
dc.contributorSchade, Sven
dc.contributorGranell Canut, Carlos
dc.contributor.authorModala, Naga Raghuveer
dc.date.accessioned2014-08-28T12:31:25Z
dc.date.available2014-08-28T12:31:25Z
dc.date.issued2014-06
dc.identifier.isbn9789081696043
dc.identifier.urihttp://hdl.handle.net/10234/99510
dc.descriptionPonencias, comunicaciones y pósters presentados en el 17th AGILE Conference on Geographic Information Science "Connecting a Digital Europe through Location and Place", celebrado en la Universitat Jaume I del 3 al 6 de junio de 2014.ca_CA
dc.description.abstractA geographic information system (GIS) web application was developed to show the temporal and spatial variability of bias corrected historic and future climate change across the Texas PanHandle region. Spatially downscaled (50 km2) global climate model (GCM) simulated precipitation, maximum temperature, and minimum temperature for the years 1971-2000 and 2041-2070 have been downloaded from North American Regional Climate Change Assessment Program (NARCCAP). Climate variables simulated by CRCM-CCSM, RCM3-GFDL, RCM3-CGCM3 regional climate models (RCMs) have been used for this study. Most of these model predictions are incorporated with bias due to scaling issues and immature/incomplete concepts. Typical biases include over estimation of rainfall events with low intensities and incorrect estimation of extreme temperatures. Removal of bias is important for reasonable predictions of future climate data. The bias from the historic and future climate datasets have been removed using distribution mapping technique. Bias in temperature and precipitation was removed using gaussian and gamma distribution mapping techniques respectively. This web application can be easily accessed and used by farmers, water managers, agri based industries, policy and decision makers, and other researchers to study the climate change trends across the region and plan accordingly. The web application provides the mean annual and mean monthly values of historic and future precipitation, maximum and minimum temperatures for each of the sixty seven counties in the region.ca_CA
dc.format.extent2 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherAGILE Digital Editionsca_CA
dc.relation.isPartOfHuerta, Schade, Granell (Eds): Connecting a Digital Europe through Location and Place. Proceedings of the AGILE'2014 International Conference on Geographic Information Science, Castellón, June, 3-6, 2014. ISBN: 978-90-816960-4-3ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/CNE/1.0/*
dc.subjectAssociation of Geographic Information Laboratories for Europe ( AGILE) Conferenceca_CA
dc.subjectGeographic Information Scienceca_CA
dc.subjectInformación geográficaca_CA
dc.subjectclimate changeca_CA
dc.subjectNARRCAPca_CA
dc.subjectGISca_CA
dc.subjectbias correctionca_CA
dc.subjectdistribution mapping techniqueca_CA
dc.subjectTexas PanHandleca_CA
dc.titleTexas PanHandle Climate Change Interactive GIS Web Applicationca_CA
dc.typeinfo:eu-repo/semantics/bookPartca_CA
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA


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