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GEO Integrated Data Environment

NOAA Plan for Integration GEO-IDEAtmospheric Observations

Land Surface Observation

Ocean Observations

Space Observations

Data Systems Coordinated, efficient,integrated, interoperable

Discipline Specific View Whole System View

Current systems are program specific, focused, individually efficient.But incompatible, not integrated, isolated from one another and from wider environmental community

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GEO-IDE Vision

• “System of systems” – a framework to effectively and efficiently integrate NOAA’s many systems

• Minimize impact on legacy systems

• Utilize Standards• Work towards a service-

oriented architecture using Web Services

http://www.nosc.noaa.gov/dmc/swg/swg_docs.html

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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

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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 oceangray = land massespink line = average ice extent for September, the end of the summer melt season. The September average is calculated from 1979 through 2000.

Sea Ice Decline in the ArcticUpdate, August 2006

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2005

Sea Ice Decline in the Arctic1978 -2005 Trend

2006 September minimum will be comparable to 2005

http://nsidc.org/news/press/2006_seaiceminimum/20060816_arcticseaicenews.html

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• Develop high-resolution (10 to 30 meter cell size) coastal Develop high-resolution (10 to 30 meter cell size) coastal DEMs for NOAA’s tsunami inundation modeling effortDEMs for NOAA’s tsunami inundation modeling effort

• More than 100 DEMs are planned for developmentMore than 100 DEMs are planned for development

• DEMs will also be useful for modeling hurricane storm surge DEMs will also be useful for modeling hurricane storm surge and rainfall floodingand 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 NGDC Tsunami Inundation Gridding ProjectProject

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• 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 BeachAdding of features not in digital datasets

• Assess data quality using ESRI ArcGIS, satellite imagery, and NOAA nautical charts

NGDC Tsunami Inundation Gridding NGDC Tsunami Inundation Gridding ProjectProject

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• 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 NGDC Tsunami Inundation Gridding ProjectProject

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WGISS-22

Thank You

Questions?

NOAA Agency Report