Coastal Research Proposal Abstracts

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1 Coastal Research Proposal Abstracts An Automated Data Analysis, Processing, and Management System Proposal to NASA with SAIC Total Budget $15K Submitted 10/31/2008 The goal of this study is to design, develop, and evaluate a fully automated, flexible PC-, GIS-, and web-based, data retrieval, management, visualization, and delivery system. The system will obtain, integrate, analyze, and distribute satellite remote sensing, in-situ, and modeling data and analyses for coastal and deep-water regions in the Gulf of Mexico in near real time. The system will significantly enhance end-users ability to make timely decisions on issues raised by the Gulf of Mexico Alliance (GOMA) as well as those raised by federal and state regulators in the Gulf of Mexico (GOM). The primary satellite remote sensing data to be included in the system are ocean color, sea-surface temperature, sea-surface wind, and sea-surface height data from MODIS, AVHRR, QuikSCAT, and JASON systems (and in the future from NPP and NPOES satellite systems). In the future, sea-surface salinity from Aquarius would also be included. In-situ data would include, but would not be limited to, data from the National Data Buoy Center (NDBC) National Coast Data Development Center (NCDDC), Harmful Algae Blooms Observing System (HABSOS), US Environmental Protection Agency (EPA), Minerals Management Service (MMS), US Army Corps of Engineers (USACE), Office of Naval Research (ONR), Naval Oceanographic Office (NAVOCEANO), and various state agencies. The Naval Research Laboratory (NRL) is a partner in the development of this system. NRL has agreed to provide their predictions of surface and sub-surface currents, temperature, and salinity for the entire GOM. In the future, results from other models (e.g., bay and estuarine models, water quality models, shelf models, etc)) will be integrated into the system. The data/imagery developed by the PC-based system would be transmitted to SURA s operational web-based GIS system, called OpenIOOS, through an OGC compliant web service interface. This will be a two year project, SURA in partnership with GoMOOS will create one or more custom web pages on OpenIOOS.org. The pages will offer pan, zoom, and web mapping capabilities. GoMOOS will work with SAIC to test the OGC-compliant interfaces provided by SAIC to register and incorporate them into the OpenIOOS web pages. 1

2 Advanced Coastal Hazards Detection System Proposal to Harris Corp with FIT Total Budget $148K Submitted 1/9/2009 The Advanced Coastal Hazard Detection System seeks to improve the early detection of and response to coastal hazards by relying on standards for accessing and publishing data from sensor observation systems, using neural networks. The system will quickly classify events by leveraging semantic web technologies to infer the extent and danger of complex coastal hazards. To develop an Advanced Coastal Hazard Detection System we propose a multidisciplinary research approach. Ocean domain experts will work with Artificial Intelligence experts to develop a prototype detection system in the region between Cape Canaveral and Palm Beach, Florida. The focus will be on coastal wave hazards, which include: high surf and erosion events, coastal flooding, and rogue waves. The proposed project will advance the following goals: 1) Develop formal knowledge for coastal hazards detection, 2) Incorporate a neural network classifier as a service following a Service Oriented Architecture, 3) Develop a 100 m resolution erosion model. Real data and numerical models forecasts will be assimilated and fed into a neural network classifier that will feed a coastal hazard ontology in real time. Ocean and computer science experts will build classifiers and populate an ontology to help detect coastal hazards. A high-resolution forecast of the nearshore wave field will be based on a combination of data assimilation and modeling. The two main components of the process will be the forecast data from the NOAA Wave Watch III model and the U.S. Army Engineering and Development Center s ERDC (wave model from the Coastal Model System (CMS- Wave). A parallel neural network classifier bank (PNNCB) will be developed to classify surf events from various locations using infrasound signals. Ontologies formally capture the knowledge of a domain. In this example, they will be used for the classification of waves, and how to relate them to environmental signals. Ontologies could serve to capture complex relationships such as if oxygen concentration in the ocean is more than x, and the wind speed is Y, then Z is occurring. Previous work on developing marine ontologies, semantic mediators and coastal hazards ontologies will be leveraged. 2

3 OOSTethys: An Open Source Community to Advance Integrated Ocean Observing Systems Proposal to NOAA with GoMOOS, NaNOOS, MBARI, LUMCON & UAH Total Budget: $971K over 2 years Submitted: 2/9/2009 This proposal details a plan to allow participants of the open source collaborative project, OOSTethys, to continue working with the National Oceanic and Atmospheric Administration (NOAA) Integrated Ocean Observing System (IOOS) Program Office, to advance the realization of an IOOS. Outcomes will build incrementally from previous accomplishments of the NOAA IOOS Data Integration Framework (DIF) and the OOSTethys activity. The NOAA IOOS Program Office has advanced the NOAA DIF for exchanging and integrating operational data streams across NOAA programs, federal agencies, and Regional Associations (RAs). The NOAA IOOS office has made important decisions to adopt international geospatial standards, as well as to foster initial implementation within NOAA data centers. However, for the community to successfully adopt and implement those standards there is a need to provide tools, testing environments, and training. OOSTethys is an open source collaborative project, lead by SURA and mainly advanced by the SURA Coastal Ocean Observing and Prediction (SCOOP) Program and the Marine Metadata Interoperability (MMI) Initiative. OOSTethys developers are part of RAs, including the North East Regional Association Coastal Ocean Observing System (NERACOOS), the Gulf Coast Ocean Observing System (GCOOS) and the Northwestern Association of Networked Ocean Observing Systems (NANOOS) and support other RAs. The primary goal of the OOSTethys Project is to facilitate and expedite the installation, adoption, and updating of standards-compliant Web services, which have been adopted by NOAA IOOS. This goal can be achieved by: (1) developing reference implementations, (open source, standards-compliant software components), (2) developing a test bed for testing end-to-end software system components, and (3) providing training to software developers and data managers. This proposal presents a two-year activity. The software products, training, and outreach provided in this proposal by the OOSTethys project are aligned with NOAA s mission to serve Society s needs for Weather and Water Information. In particular, OOSTethys supports the NOAA IOOS Program Office, whose goal is to provide continuous data on our open oceans, coastal waters, and Great Lakes in the formats, rates, and scales required by scientists, managers, businesses, governments, and the public to support research and inform decision-making. OOSTethys will support NOAA s leadership efforts in advancing IOOS at an interagency and regional level. OOSTethys partners in this proposal include developers from established RAs as well as from the MMI project. OOSTethys participants will work closely with NOAA to move forward efforts to provide the open source software required to build the IOOS as well as to provide the required training and guidance for developers within the regions. 3

4 Earth Sciences Semantic Interoperability Framework A 21st Century Rosetta Stone Proposal to NSF with MBARI and GoMOOS Total Budget: $400K over 2 years Submitted: 2/11/2009 Semantic interoperability is the ability of automated data systems to locate and exchange data using synonymous terms and related nomenclatures. Semantic interoperability is needed to successfully automate and streamline workflows in the Earth and other sciences. Although the computer science and geoinformatics communities are introducing specific technical solutions for various purposes, there remains the challenge of integrating tools, practices, and community into a whole approach. The best approach toward semantic interoperability requires an overarching framework that includes tool development, vocabulary adoption, and community demonstrations, training and engagement. This project proposes to implement such an approach to meet Earth science needs. ('Earth science' is defined here as atmospheric, ocean, and terrestrial science, including biology). This Earth Sciences Semantic Interoperability Framework (ESSIF) proposal focuses on enabling effective and comprehensive semantic interoperability for Earth science systems. It does so by investigating and implementing methodologies, tools, community processes, community vocabularies, and training that create integrated access to Earth science knowledge. The ESSIF team is uniquely positioned to provide a blend of straightforward methodology and technical solutions with robust social mechanisms including best practices, consensus on best resources, education, and training that result in strong communities of practice. The ESSIF project's resulting Semantic Framework, including its community of practice, will be scalable, extensible, and domain-neutral. Although we will build examples using the Earth sciences vocabularies, the systems and tools we develop will be: scalable for any amount of content and any number of community members; extensible to enable technology and standards evolution; and domainneutral to enable cross-domain interoperability, both within the Earth sciences and across other science and knowledge domains. 4

5 SURA/NODC Partnership Proposal to create a Coastal Mesonet PreProposal to NOAA NODC Total Budget: $2M over 18 mos Submitted: 3/4/2009 The Southeastern Universities Research Association (SURA) proposes a partnership with the National Oceanographic Data Center (NODC) to create a Coastal Mesonet. SURA will work with the NODC to develop and implement a standards-based Web service framework that will enhance discoverability, accessibility and interoperability of the NODC Archive for use by the research community and others. The mesonet concept has proved valuable for NOAA's National Weather Service (NWS), where local and regional mesonets have adopted common data transmission mechanisms for information relevant to terrestrial weather. The Coastal Mesonet proposed here extends to concept beyond short-term weather to add an open-access ocean-data network and archive, and to engage the broad scientific community in creating an information architecture to support climate research and to advance operational applications. 5