Reconstruction of MODIS total suspended matter time series maps by DINEOF and validation with autonomous platform data |
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| Authors: | Bouchra Nechad Aida Alvera-Azcaràte Kevin Ruddick Naomi Greenwood |
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| Institution: | 1.Management Unit of the North Sea Mathematical Models (MUMM),Royal Belgian Institute of Natural Sciences (RBINS),Brussels,Belgium;2.GeoHydrodynamics and Environmental Research (GHER),University of Liège, Belgium,Liège,Belgium;3.Centre for Environment, Fisheries and Aquatic Sciences (Cefas),Lowestoft,UK |
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| Abstract: | In situ measurements of total suspended matter (TSM) over the period 2003–2006, collected with two autonomous platforms from
the Centre for Environment, Fisheries and Aquatic Sciences (Cefas) measuring the optical backscatter (OBS) in the southern
North Sea, are used to assess the accuracy of TSM time series extracted from satellite data. Since there are gaps in the remote
sensing (RS) data, due mainly to cloud cover, the Data Interpolating Empirical Orthogonal Functions (DINEOF) is used to fill
in the TSM time series and build a continuous daily “recoloured” dataset. The RS datasets consist of TSM maps derived from
MODIS imagery using the bio-optical model of Nechad et al. (Rem Sens Environ 114: 854–866, 2010). In this study, the DINEOF
time series are compared to the in situ OBS measured in moderately to very turbid waters respectively in West Gabbard and
Warp Anchorage, in the southern North Sea. The discrepancies between instantaneous RS, DINEOF-filled RS data and Cefas data
are analysed in terms of TSM algorithm uncertainties, space–time variability and DINEOF reconstruction uncertainty. |
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