CEOS WGISS-22, Annapolis, MD 11-15 September, 2006 1 GEO Integrated Data Environment NOAA Plan for Integration GEO-IDE Atmospheric Observations Land Surface.

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Presentation transcript:

CEOS WGISS-22, Annapolis, MD September, GEO Integrated Data Environment NOAA Plan for Integration GEO-IDE Atmospheric Observations Land Surface Observation Ocean Observations Space Observations Data Systems Coordinated, efficient, integrated, interoperable Discipline Specific ViewWhole System View Current systems are program specific, focused, individually efficient. But incompatible, not integrated, isolated from one another and from wider environmental community

CEOS WGISS-22, Annapolis, MD September, GEO-IDE Vision System of systems – a framework to effectively and efficiently integrate NOAAs many systems Minimize impact on legacy systems Utilize Standards Work towards a service- oriented architecture using Web Services

CEOS WGISS-22, Annapolis, MD September, NOMADS NOAA National Operational Model Archive and Distribution System User growth phenomenal: 5-7 Million downloads 5-6 TB served per month THREDDS Data Server Unidata TDS Alpha testsite Live Access Server Cited as US-GEO and NOAA GEO-IDE pilot to advance Partnerships: NASA ACCESS and OGC. GO-ESSP New Java-based modular design being developed

CEOS WGISS-22, Annapolis, MD September, Sea ice extent continues to decline as the melt season progresses. While the ice has retreated poleward of its September average in most places, it is still outside of the September average off the western part of Alaska. The strongest ice retreats are along parts of the Russian coast. White = sea ice blue = open ocean gray = land masses pink line = average ice extent for September, the end of the summer melt season. The September average is calculated from 1979 through Sea Ice Decline in the Arctic Update, August 2006

CEOS WGISS-22, Annapolis, MD September, Sea Ice Decline in the Arctic Trend 2006 September minimum will be comparable to

CEOS WGISS-22, Annapolis, MD September, Develop high-resolution (10 to 30 meter cell size) coastal DEMs for NOAAs tsunami inundation modeling effort Develop high-resolution (10 to 30 meter cell size) coastal DEMs for NOAAs tsunami inundation modeling effort More than 100 DEMs are planned for development More than 100 DEMs are planned for development DEMs will also be useful for modeling hurricane storm surge and rainfall flooding DEMs will also be useful for modeling hurricane storm surge and rainfall flooding Planned U.S. tsunami inundation DEMs Perspective view of Myrtle Beach, South Carolina 1/3 arc-second (10 meter) DEM NGDC Tsunami Inundation Gridding Project

CEOS WGISS-22, Annapolis, MD September, Identify and obtain best available digital data: e.g., multibeam sonar bathymetry, hydrographic surveys, SRTM topography, LiDAR topography and coastal bathymetry, high-resolution coastline, shoreline-crossing beach profiles, orthometric photos Data coverage for Myrtle Beach Adding of features not in digital datasets Assess data quality using ESRI ArcGIS, satellite imagery, and NOAA nautical charts NGDC Tsunami Inundation Gridding Project

CEOS WGISS-22, Annapolis, MD September, Process data: Shift data to common vertical and horizontal datums (Mean High Water and WGS-84) Generate and evaluate DEM: visual inspection for artifacts using slope maps and perspective views, and by comparison with known benchmark elevations Slope map highlighting grid areas with steep slopes Relationships between vertical datums NGDC Tsunami Inundation Gridding Project

CEOS WGISS-22, Annapolis, MD September, WGISS-22 Thank You Questions? NOAA Agency Report