Alaska Ocean Observing System (AOOS) Sound Predictions 2009 Experiment Data & Model Visualization Made Public Via Google Earth and Cloud Computing

Applied Science Associates (ASA) has enabled public access to real-time data from the Alaska Ocean Observing System (AOOS) Sound Predictions 2009 Prince William Sound (PWS) experiment through Google Earth. ASA is posting ROMS Data (Dr. Yi Chao), WRF Data (Dr. Peter Olsson), and HFRadar (Dr. Mark Johnson) plus ASA drifter simulations using these model data (sources: http://ak.aoos.org/aoos/fieldexp/data_by_pi-researcher.html).  ASA has integrated data from PWS experiment's ocean observing systems and models to create Google Earth KML files which are hosted using Amazon cloud computing. Amazon S3 storage enables efficient distribution of large datasets by dividing the work among computers based in data centers around the globe.

The Google Earth link:
http://asascience_pws.s3.amazonaws.com/PWS_DATA.kml

From July 19-Aug 3, the experimental scientific collaborative will be evaluating regional forecast models for their effectiveness in predicting wind, waves, and ocean circulation in Prince William Sound. Autonomous underwater vehicles (AUVs), gliders, and drifters will be used to roam Prince William Sound in an effort to collect scientific data in the 2-week field test called Sound Predictions 2009 (www.aoos.org). Prince William Sound, the site of the Exxon Valdez oil spill, draws a variety of activities including sport and commercial fishermen, cruise ships, recreational boaters and oil tankers on their way to and from the Valdez oil terminal. To enhance navigation safety and gain a better understanding of ocean circulation and ecosystem processes, researchers are deploying scientific technologies into the Sound to test the accuracy of ocean observation models and their ability to effectively predict weather, wind, currents, and waves.

New data sets are being added and improvements are being made during the two-week experiment so be sure to check back regularly. Let us know if you have comments or suggestions.

For more information about the Sound Predictions 2009 experiment: http://www.aoos.org/fieldexp/index.html

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