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The development and generation of the long term Mediterranean SSR
products
Rosalia Santoleri, Gianluca Volpe, Cristina Tronconi, Roberto Sciarra
Istituto di Scienze dell’Atmosfera e del Clima – sezione di RomaVia del Fosso del Cavaliere, 100 – 00133 Roma
[email protected]; [email protected]; [email protected]; [email protected];
The generation and development of the long term Mediterranean
SSR products
The aims are:
1. to identify and develop of an optimal algorithm for the Mediterranean sea to produce high quality ocean colour datasets for the region.
2. to provide an accurate and consistent stream of ocean colour data at a resolution and format compatible with operational forecasting of the Marine Environment.
CNR Activity planned for DIP3
• Extend the evaluation of global vs regional OC product from SeaWiFS to MODIS and MERIS
• update the SeaWiFS Mediterranean products
• To complete the study on the bio-optical characteristics of the Mediterranean Sea
Outline
• SeaWiFS OC bio-optical algorithm• Satellite matchup
– Chlorophyll– Rrs (MBR)
• Histograms to show the blue-green shift• MERIS and MODIS sensors
– Chlorophyll– Rrs (MBR)
• SeaWiFS reanalyses of MED dataset as distributed by MERSEA
• Regional satellite products impact on PP– Global model– Regional model
In situ chlorophyll-a data: 1144 chlorophyll profiles for satellite data validation
Mediterranean Ocean Color CAL/VAL DATA SETS
28 Mediterranean cruises:from 1997 up to now were organized by ISAC in the framework of Italian National Projects
+ 2 permanent stations
Bio-optical measurements: 155 chl/opt measurements to define the Mediterranean regional algorithm(red points)
Optical measurements: 938 SIMBADA for Rrs validation(blue points)
)( 44
33
221010 RbRbRbRbbC
MEDOC4 : R is log10 of either the 443/560 or the 490/555 or the 510/555 band reflectance ratios. The switch from one band ratio to another one is based on the chlorophyll concentration itself (the Maximum is Chosen)
THE NEW MEDITERRANEAN ALGORITHM
a
b
SeaWiFS OC bio-optical algorithm
MedOC4 bio-optical algorithm
Chlorophyll a [mg m-3]
0.01 0.1 1 10
10
1Ma
xim
um
Ban
d R
atio
Chlorophyll a [mg m-3]
0.01 0.1 1 10
Satellite matchup: Chlorophyll
Satellite matchup: Remote Sensing Reflectance
Morel’s Primary Production Model
Impact on Primary Productivity
Plots by courtesy of Simone Colella
Impact on Primary Productivity
Plots by courtesy of Simone Colella
Colella’s Primary Production Model
