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Contributions from TU Dresden / GLUES Fakultät Forst, Geo- und Hydrowissenschaften, Fachrichtung Geowissenschaften, Professur Geoinformationssysteme Matthias Mueller, Christin Henzen
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Overview Data sets related to climate change. The access will be provided by OGC specified Web Services. A time-aware visualization client (Time4Maps) for geodata which includes functions for data exploration and comparison. Processing services for climate classification and spatio- temporal data aggregation. 2
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Data sets PIK limited WCRP CMIP3 multi-model dataset Based on WCRP CMIP3 multi-model dataset (http://www- pcmdi.llnl.gov/ipcc/about_ipcc.php)http://www- pcmdi.llnl.gov/ipcc/about_ipcc.php Multiple models and multiple SRES scenarios Harmonized to common spatial resolution (0.5 x 0.5 deg) Harmonized to common temporal resolution (1 month) Spatial extent: World Temporal extent: 2006–2100 Variables: Temperature, Precipitation, Cloudiness [%] WMS / WCS / OPeNDAP (Thredds Server) URL: http://glues.pik- potsdam.de:8080/thredds/catalog/pik_wcrp_cmip3/catalog.htmlhttp://glues.pik- potsdam.de:8080/thredds/catalog/pik_wcrp_cmip3/catalog.html 3
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Data sets Extented metadata (including ISO Lineage) coming soon http://catalog.glues.geo.tu- dresden.de:8080/terraCatalog/OpenSearch.do?search=PIK+limited+WCRP +CMIP3+multi-model+dataset&type=/Query/OpenSearch.do http://catalog.glues.geo.tu- dresden.de:8080/terraCatalog/OpenSearch.do?search=PIK+limited+WCRP +CMIP3+multi-model+dataset&type=/Query/OpenSearch.do 4
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Data sets 5 Temperature
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Data sets 6 Precipitation
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Data sets 7 Cloudiness (Cloud cover fraction)
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Time4Maps Visual exploration of time-enabled OGC Web Map Services Interactive map view Animations Parameterized calls http://geoportal.glues.geo.tu-dresden.de:8080/Time4Maps/index.jsp? &url= &version= &layer= Query map values (GetFeatureInfo) Comparative exploration Linked map views for two different layers / services 8
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Time4Maps Single view 9 Feature Info Legend Timeslider Animation Interactive map view
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Time4Maps Compare 2 Maps Two linked views (same extent, same date) 10
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Processing services Climate classifications Convenient means to support screening of climate projections Subsequent visualization allows to see climate zones moving (e.g. arid climate zones are moving northward) Implementation should be finished by July 2012 11 This image is not our work – but it has inspired us. We want to put the classification logic as a WPS process for ad-hoc execution.
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Processing services Zonal statistics / spatio-temporal aggregation Computes Min, Max, Mean, Stddev for given zones (polygons / multipart) Suitable for BigData Supports raster data (values) and Shape-Geometries (zones) Also available for spatio-temporal data (NetCDF) and time- enabled Shape-Geometries (Start and end date) Implementation should be finished by June 2012 12
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13 Value Raster (Temperature, Pollution, …) Statistical units Zonal statisticsAggregation Processing services – Example: Zonal statistics
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Summary 14
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Point of contact Visualization / Time4Maps Christin Henzen, christin.henzen@tu-dresden.dechristin.henzen@tu-dresden.de Data Services and Processing Matthias Mueller, matthias_mueller@tu-dresden.dematthias_mueller@tu-dresden.de 15
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