OGC ArcticSDP Scenario & data overview Luciad 27 February 2017 Copyright © 2017 Open Geospatial Consortium

1. Sea ice age evolution in the Beaufort Gyre Story: Arctic Sea Ice Age measurements show that the sea ice is becoming younger. Since the 1980s, the amount of multiyear ice has declined dramatically. One particularly affected area is the Beaufort Gyre, Northeast of Alaska. Warmer waters made it less friendly to perennial ice since the start of the 21st century. Copyright © 2017 Open Geospatial Consortium

Copyright © 2016 Open Geospatial Consortium Demo videos Show Luciad_SeaIceAge_time_evolution.mp4 Demonstrates the visualization of the temporal evolution of the Sea Ice Age from 1990 to 2012 Color map is inspired by NSIDC’s templates: http://nsidc.org/data/docs/noaa/g02135_seaice_index/ Demonstrate the visual correlation of the Sea Ice Age with arctic maritime areas Visually compare two time instants using a Swipe controller (July 1995 vs July 2012 around the Beaufort Gyre) Copyright © 2016 Open Geospatial Consortium

Copyright © 2017 Open Geospatial Consortium Data overview Arctic SDI basemap Source: Kartverket Norway; Format: OGC WMS web service Location: http://openwms.statkart.no/skwms1/wms.arctic_cascading Sea Ice Age: MEaSUREs Arctic Sea Ice Characterization Daily 25km EASE-Grid 2.0 Source: NSIDC; Format: OGC NetCDF files Location: http://nsidc.org/data/docs/measures/nsidc-0532/ Arctic Marine Areas defined by the Circumpolar Biodiversity Monitoring Programme (CBMP) Source: CAFF / ABDS GeoNetwork catalogue; Format: OGC WMS web service Location: http://geo.abds.is/geonetwork/srv/dut/catalog.search#/metadata/54294151-9e15-4457-8a44-df2c0ec5ada5 Copyright © 2017 Open Geospatial Consortium

Data integration highlights Having data sources available that adhere to well-adopted standards makes a big (positive) difference (e.g. OGC) High-performance temporal exploitation of the Sea Ice Age data required additional data preparation Each Sea Ice Age measure file covers one day: 10822 files since 1979, 20GB+ in total Solution: integrated into in-memory database. Alternatives: combine into larger files (e.g. yearly) and / or put behind an OGC WCS web service. Styling information is often missing for raw raster & vector data sources Yet having raw data is very interesting for client-side analysis E.g., sea ice age, maritime mammals data, sea fish data, … Solution: custom styling. Alternatives: provide ready-to-use OGC SLD styles. Copyright © 2017 Open Geospatial Consortium