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Spectral Data Assimilation for Merging Satellite Ocean Color ImageryThe Sensor Intercomparison and Merger for Biological and Interdisciplinary Oceanic Studies (SIMBIOS) project was initiated 'to develop a methodology and operational capability to combine data products from various ocean color missions in a manner that ensures the best possible global coverage and best exploits the complementary missions of the sensors'. While the merging of data from multiple sources has already been implemented for sea surface temperature (SST), altimetry or clouds, this is a new topic in ocean color science. Merging ocean color data has obvious advantage in terms of spatial and temporal coverage of the global ocean but data merging should also result in new, more diverse and improved data products with lower uncertainties. The merging of ocean color satellite data is generally considered at the level of the global gridded products, i.e., NASA Level-3 and, more specifically, for the merging of chlorophyll a concentration data, [Ch1]. This approach limits computational issues and deals with a unique, simple quantity, [Ch1]. However, ocean color data merging can also be conducted at the level of water-leaving radiances, LwN(lamda), using either empirical or semi-analytical algorithms. Although more challenging, this latter approach is potentially extremely powerful as it can achieve good consistency in the final data products and can take advantage of both the specificities and differences of each source of data. The demonstration of the feasibility of such approach is the main objective of our SIMBIOS work. Here, we use a semi-analytical algorithm to merge Rrs (or, equivalently LwN) data from different sources to estimate [Ch1]. The model also allows for the retrieval of other quantities such as the combined absorption of colored detrital particulate and dissolved organic matter at 443 nm, a(sub cdm)(443) and the particulate backscattering, b(sub bp)(443).
Document ID
20020016083
Acquisition Source
Goddard Space Flight Center
Document Type
Other
Authors
Siegel, David A.
(California Univ. Santa Barbara, CA United States)
Maritorena, Stephane
(California Univ. Santa Barbara, CA United States)
Date Acquired
August 20, 2013
Publication Date
January 1, 2001
Publication Information
Publication: SIMBIOS Project
Subject Category
Oceanography
Funding Number(s)
CONTRACT_GRANT: NAS5-98083
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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