Difference between revisions of "Measures2006"

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<p>''Project Summary'':</p>
 
<p>''Project Summary'':</p>
  
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<p>Satellite ocean color data products are all too frequently relegated to a single, unique product, the chlorophyll concentration. However, ocean color signals (the normalized water-leaving radiance spectra, LwN(λ)) contain information describing the concentrations and type of suspended particulate and dissolved materials, the composition of the phytoplankton community and the productivity of the water column. Over the past decade many new satellite ocean color science data products have been introduced which are transforming our understanding of ocean biological and biogeochemical processes.</p>
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Ocean Color Data Records
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<p>The implementation, distribution and management of these innovative ocean color data records are fraught with difficulties – at least by existing structures.  First, there is a large suite of products that qualify as ocean color Earth Science Data Records (OC-ESDR’s).  Existing data centers, such as the NASA Ocean Biology Processing Group (OBPG), need to be focused on the primary objective of providing the highest quality LwN(λ) and chlorophyll determinations from the suite of available satellite sensors.  Second, existing data centers are not well suited to quickly handle the rapid rate of new innovative algorithms and products as is occurring today. The plethora of possibilities along with the large volume of data and the complex algorithms to implement is a huge load for a single group to handle (no matter how capable). Further, it is also necessary to constantly characterize the generated products and rapidly assess changes that may result from either versions of the input data stream (here LwN(λ)) or from updated OC-ESDR algorithms. These difficulties all act to limit the wide use of innovative OC-ESDR’s.  Last, a decentralization of ocean color data product creation and dissemination is healthy as individual groups with different background and vision can make their unique contribution to the OC-ESDR’s available. </p>
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<p> Here, we propose to implement a small scale ocean color data center (μDAAC) capable of processing and distributing a broad suite of OC-ESDR’s, some of them from merging of multiple sensors, while nimble enough to successfully manage scientific innovation.  
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Satellite ocean color data products are all too frequently relegated to a single, unique product, the chlorophyll concentration. However, the ocean color signal (the normalized water-leaving radiance spectrum, LwN(lambda)) contains information about other water components or processes such as the concentrations and type of suspended particulate and dissolved materials, the composition of the phytoplankton community and the productivity of the water column. The retrieval and analysis of these and other novel ocean color products are transforming our understanding of ocean biological and biogeochemical processes.
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<li>Create and distribute a variety of established OC-ESDR’s ranging from ocean optical properties and phytoplankton functional groups to phytoplankton growth rates and carbon-based productivity, </li>
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The objective of our MEASURES project is to create and distribute for evaluation a wide variety of established and new ocean color products that are candidates to become Earth Science Data Records (ESDR’s).  These products range from ocean optical properties and phytoplankton functional groups to phytoplankton growth rates and carbon-based productivity and some of them will be derived from the data merging of multiple sensors (SeaWiFS, MODIS and possibly MERIS). These new and innovative ocean color products will help address various science questions related to e.g. primary and heterotrophic production, photochemistry, light budget, physiology, phytoplankton functional type, particle size distribution, particulate organic carbon concentration and net primary production rates.
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<li>Implement and distribute quality indices for these OC-ESDR’s so users know what they are getting and how it relates to previous versions of the products, similar satellite data products and in situ data sets, </li>
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<li>Update the suite of OC-ESDR’s distributed in consultation with our advisory board and data users, and </li>
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In parallel to the generation of ocean color products we will implement and distribute quality indices for these products so the data users will know what they are getting and how it relates to previous versions of the products, similar satellite data products and in situ validation data. We will also track and manage algorithm and data lineage throughout the process and implement methods for automatically informing users of updated products or analyses. The suite of products that can be considered ocean color ESDR’s will be determined in consultation with our advisory board and data users.  Once an agreement will be reached on a particular product, codes, data production and distribution for that product will be transferred to the NASA Ocean Biology Processing Group (OBPG) at the Goddard Space Flight Center (GSFC).
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<li>Track and manage algorithm and data lineage throughout the process and implement methods for automatically informing users of updated products or analyses.</li></ul></p>
 
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<p>Our proposed implementation of an OC-ESDR μDAAC builds on our experience in satellite data system research (ReASON; Frew, Siegel & Maritorena), in the development and implementation of novel satellite ocean color algorithms (Maritorena, Siegel & Behrenfeld) and in the acquisition and application of field-based calibration / validation data (Nelson, Maritorena, Siegel & Behrenfeld).  The OC-ESDR μDAAC will be implemented in collaboration with the GSFC Ocean Biology Processing Group – providing added value to their efforts and to ours.  It is our hope that the true value of scientific innovation possible with NASA Earth science data can be realized through the development of small, focused data centers cooperating with existing NASA data centers. </p>
 
  
  

Revision as of 16:27, 21 May 2009

NASA MEaSUREs Ocean Color Product Evaluation Project
Produce, evaluate & distribute advanced ocean color data products


Beyond Chlorophyll: Management, Implementation and Distribution of Innovative Ocean Color Earth Science Data Records


PIs: Stéphane Maritorena, Dave Siegel, Jim Frew, Norm Nelson (UCSB) and Mike Behrenfeld (OSU)


Project Summary:

Ocean Color Data Records

Satellite ocean color data products are all too frequently relegated to a single, unique product, the chlorophyll concentration. However, the ocean color signal (the normalized water-leaving radiance spectrum, LwN(lambda)) contains information about other water components or processes such as the concentrations and type of suspended particulate and dissolved materials, the composition of the phytoplankton community and the productivity of the water column. The retrieval and analysis of these and other novel ocean color products are transforming our understanding of ocean biological and biogeochemical processes.

The objective of our MEASURES project is to create and distribute for evaluation a wide variety of established and new ocean color products that are candidates to become Earth Science Data Records (ESDR’s). These products range from ocean optical properties and phytoplankton functional groups to phytoplankton growth rates and carbon-based productivity and some of them will be derived from the data merging of multiple sensors (SeaWiFS, MODIS and possibly MERIS). These new and innovative ocean color products will help address various science questions related to e.g. primary and heterotrophic production, photochemistry, light budget, physiology, phytoplankton functional type, particle size distribution, particulate organic carbon concentration and net primary production rates.

In parallel to the generation of ocean color products we will implement and distribute quality indices for these products so the data users will know what they are getting and how it relates to previous versions of the products, similar satellite data products and in situ validation data. We will also track and manage algorithm and data lineage throughout the process and implement methods for automatically informing users of updated products or analyses. The suite of products that can be considered ocean color ESDR’s will be determined in consultation with our advisory board and data users. Once an agreement will be reached on a particular product, codes, data production and distribution for that product will be transferred to the NASA Ocean Biology Processing Group (OBPG) at the Goddard Space Flight Center (GSFC).


This project is part of the Making Earth Science Data Records for Use in Research Environments (MEaSUREs) initiative of NASA.


GSM products by data source




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