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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.
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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) 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.html
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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
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Data sets
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Temperature
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Data sets
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Precipitation
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Data sets
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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=<WMS Endpoint>&version=<WMS version>&layer=<layer names>
Query map values (GetFeatureInfo)
Comparative exploration Linked map views for two different layers / services
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Time4Maps
Single view
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Feature Info
Legend
Timeslider
Animation
Interactive map view
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Time4Maps
Compare 2 Maps Two linked views (same extent, same date)
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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
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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
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Value Raster (Temperature, Pollution, …)
Statistical units
Zonal statisticsAggregation
Processing services – Example: Zonal statistics
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Summary
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Contribution SBA Standards Performance Availability
Data sets on climate projections
Disaster preparedness and mitigation (Atmospheric properties, precipitation)
Climate
HTTP/OpenDAP, NetCDF, WMS
> 10.000 hits per hour
> 2015
Köppen climate classification service
Disaster preparedness and mitigation (Atmospheric properties, precipitation)
Climate
OGC WPS, NetCDF
depends on data volume; > 12 classifications per hour
> 2015
Spatio-temporal data aggregation service
Cross-cutting OGC WPS depends on data volume; > 12 aggregations per hour
> 2015
Time4Maps Cross-cutting, visualization of global change
WMS Client depends on response times of invoked WMS services, Web server can handle > 10.000 hits per hour
> 2015
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Point of contact
Visualization / Time4Maps Christin Henzen, [email protected]
Data Services and Processing Matthias Mueller, [email protected]
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