Comparison of SeaWiFS and MODIS Ocean Color Mesoscale Variability
David
M.
Glover, Woods Hole Oceanographic Institution, dglover@whoi.edu
(Presenter)
Scott
Doney, Woods Hole Oceanographic Institution, sdoney@whoi.edu
Alisdair
W
Tullo, Woods Hole Oceanographic Institution, atullo@whoi.edu
Mesoscale (10 to 300 km, weeks to months) physical variability
strongly modulates the structure, biomass, and rates of marine
ecosystems and their functioning in the ocean. Physical
modulation occurs either directly by turbulent advection and
stirring or indirectly by impacts on phytoplankton growth rates
and trophic interactions via nutrient enrichment,
upwelling/downwelling, and changes of the mixed layer depth and
thus mean light field. Here, we extend earlier work (Doney et
al., 2003) by quantifying the seasonal and interannual
variability in mesoscale biological signals contained within the
13-year SeaWiFS (1998-2010) and 8-year MODIS (2003-2010)
chlorophyll-a ocean color data. This poster will review our
methods for data processing and structure function analysis of
the ocean color data. Then we will present the geographical
distribution of the inter-annual variability observed in the two
data records. Our results demonstrate the differences in
magnitude and similarities in scales of variability between
these two sensors. This directly addresses the following
issues: the temporal and spatial variability of primary
productivity and new production using chlorophyll as a proxy and
the intercomparison of two satellite sensors that ostensibly
measure the same ocean variable, with the ultimate goal of
combining the two time series to create a climate data record.
Understanding how well these two sensors map onto each other is
critical for evaluating trends observed on climatic time scales
and for comparing these findings to higher resolution, coupled
ecosystem-ocean general circulation models.
Presentation:
2011_Poster_Glover_181_208.pdf (1087k)
Presentation Type: Poster
Session: Other
(Tue 11:30 AM)
Associated Project(s):
- Glover, David: Assessing the Impact of Ocean Acidification on Marine Planktonic Calcification Using Satellite Anlaysis and Earth System Modeling ...details
- Related Activity
Poster Location ID: 181
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