Updates on Satellite Ocean Color Validation Activities at Martha's Vineyard Coastal Observatory using in-situ measurements
John
R
Morrison, University of New Hampshire, ru.morrison@unh.edu
(Presenting)
Hui
Feng, University of New Hampshire, hui.feng@unh.edu
Heidi
Sosik, Woods Hole Oceanographic Institute, hsosik@whoi.edu
Arnone
Robert, Naval Research Laboratory, bob.arnone@nrlssc.navy.mil
Doug
Vandemark, University of New Hampshire, doug.vandemark@unh.edu
Paul
Lyon, Naval Research Laboratory, pual.lyon@nrlssc.navy.mil
The optical complexity of waters and atmospheres in coastal environments may lead to significant issues in the quality of satellite ocean color products. Uncertainties of satellite retrievals in the coastal region are a result from the inaccuracies in the atmospheric correction and in-water constituent retrieval algorithms. Quantifying these uncertainties requires a comprehensive approach consisting of validation field observational program and satellite algorithm assessment.
A multi-institute coastal ocean color validation project has been funded throughout the NASA Ocean Biology and Biogeochemistry (OBB) program, focusing on the coastal region near the Martha’s Vineyard Coastal Observatory (MVCO).
The field observational component includes 1) the monitoring of multi-spectral water-leaving radiance and aerosol optical properties using an above-water automatic sensor (SeaPRISM) deployed at the MVCO tower, and 2) the spatial survey of IOP, AOP and in-water bio-optical properties on the seasonal basis. The analysis component includes 1) to quantify uncertainties in satellite retrieved (after atmospheric correction ) products of radiometry (i.e. water-leaving radiance) under various atmospheric correction approaches by satellite-to-insitu match-up analysies, and 2) to assess in-water bio-optical property (e.g. chlorophyll-a and other IOPs ) retrieval algorithms
This poster will present an update of this on-going coastal ocean color validation program. We will present a comprehensive match-up analysis based on the measurement of 3.5y SeaPRISM and spatial survey under atmospheric correction options available in NASA-SeaDAS and NRL-APS processing package to characterize uncertainties in satellite radiometric and other retrieved products.
NASA Carbon Cycle & Ecosystems Active Awards Represented by this Poster: