Publication Date:
2013
abstract:
In order to investigate wind-driven upwelling along the Italian coasts, preliminary wind data provided by the
ISPRA Italian Tide Gauge Measurement Network (RMN) have been analyzed. In a further step, MyOcean Sea
Surface Temperature (SST) data have been analyzed in order to define an SST index for wind-driven coastal
upwelling assessment.
At first, hourly wind data for the period 2009 - 2011 have been used in order to provide the statistical distribution
and the wind rose plots at each RMN station. In particular, wind direction and speed have been selected in order
to find upwelling-favorable areas and periods of time. E.g. wind directions in the sector between North and West
in the Tyrrhenian Sea and between South and East in the Adriatic Sea have been defined as upwelling favorable,
the wind sector being defined as the 30 arc around the direction parallel to the coast. Moreover only wind
speeds greater than 3.0 m/s have been considered as significant for upwelling. For each location, the number of
selected data has been divided by the total number of recorded wind data, thus obtaining a sort of upwelling
frequency, which allows to define areas mostly exposed to upwelling. Once these areas were defined, satellite SST
data have been used as a proxy to study the changes in upwelling intensity, since upwelling waters are colder than
surrounding waters. So, in a given satellite SST image the upwelling event is identifiable through SST minima
along the coasts.
Finally, the SST upwelling index has been defined; also, this index has been "weighted" with wind intensity and
direction indicating upwelling conditions obtained from the RMN wind dataset, to better distinguish between
upwelling-favorable and downwelling-favorable conditions at each RMN site.
Iris type:
04.03 Poster in Atti di convegno
List of contributors:
Bignami, Francesco; Santoleri, Rosalia
Published in: