15 research outputs found
Upwelling events, coastal offshore exchange, links to biogeochemical processes - Highlights from the Baltic Sea Sciences Congress at Rostock University, Germany, 19-22 March 2007
The Baltic Sea Science Congress was held at Rostock University, Germany, from 19 to 22 March 2007. In the session entitled"Upwelling events, coastal offshore exchange, links to biogeochemical processes" 20 presentations were given,including 7 talks and 13 posters related to the theme of the session.This paper summarises new findings of the upwelling-related studies reported in the session. It deals with investigationsbased on the use of in situ and remote sensing measurements as well as numerical modelling tools. The biogeochemicalimplications of upwelling are also discussed.Our knowledge of the fine structure and dynamic considerations of upwelling has increased in recent decades with the advent ofhigh-resolution modern measurement techniques and modelling studies. The forcing and the overall structure, duration and intensity ofupwelling events are understood quite well. However, the quantification of related transports and the contribution to the overall mixingof upwelling requires further research. Furthermore, our knowledge of the links between upwelling and biogeochemical processes is stillincomplete. Numerical modelling has advanced to the extent that horizontal resolutions of c. 0.5 nautical miles can now be applied,which allows the complete spectrum of meso-scale features to be described. Even the development of filaments can be describedrealistically in comparison with high-resolution satellite data.But the effect of upwelling at a basin scale and possible changes under changing climatic conditions remain open questions
Copernicus Marine Service ocean state report, issue 4
This is the final version. Available from Taylor & Francis via the DOI in this record. FCT/MCTE
Monitoring the effect of upwelling on the chlorophyll a distribution in the Gulf of Finland (Baltic Sea) using remote sensing and in situ data
The spatio-temporal variability of chlorophyl a (Chl a) caused by a sequence of
upwelling events in the Gulf of Finland in July–August 2006 was studied using
remote sensing data and field measurements. Spatial distributions of sea surface
temperature (SST) and Chl a concentration were examined using MODIS and
MERIS data respectively. The MERIS data were processed with an algorithm developed by the Free University of Berlin (FUB) for case 2 waters. Evaluation
of MERIS Chl a versus in situ Chl a showed good correlation (r2 = 0.67), but the
concentration was underestimated. The linear regression for a 2 h window was
applied to calibrate MERIS Chl a. The spatio-temporal variability exhibited the
clear influence of upwelling events and related filaments on Chl a distribution in
the western and central Gulf. The lowest Chl a concentrations were recorded in the
upwelled water, especially at the upwelling centres, and the highest concentrations
(13 mg m−3) were observed about two weeks after the upwelling peak along the
northern coast. The areas along the northern coast of upwelled water (4879 km2)
on the SST map, and increased Chl a (5526 km2) two weeks later, were roughly
coincident. The effect of upwelling events was weak in the eastern part of the Gulf,
where Chl a concentration was relatively consistent throughout this period
Sea state in the Baltic Sea from space-borne high-resolution synthetic aperture radar imagery
Küresel Finans Piyasalarında Artan Konsolidasyon Eğilimi: Bankacılık Sektöründe Birleşme ve Devralmalar (Consolidation Trend in Global Financial Markets: Mergers & Acquisitions in Banking Sector)
SAR-derived wind fields at the coastal region in the East/Japan Sea and relation to coastal upwelling
Copernicus Marine Service Ocean State Report, Issue 5
Demersal species play a
fundamental role in fisheries, thus understanding their
distribution and abundance through bottom trawl surveys
is crucial for stock and fisheries management.
Oceanographic (e.g. biogeochemical, physical) and
fishing covariates might be considered, in addition to
spatio-temporal variables (latitute, longitude, depth,
year and month), to better explain trawl survey data.
Here, we analyse biomass indices (kg/km2) for European
hake, common sole, mantis shrimp, red mullet and common
cuttlefish from scientific trawl surveys carried out in
the Adriatic Sea and the Western Ionian Sea. We used
three different Generalised Additive Model (GAM)
approaches (Gaussian, Tweedie and Delta) to fit and predict
species biomass distribution. In order to evaluate
trade-offs in using different covariates, we compared
the results obtained from GAM approaches based only
on spatiotemporal variables and GAMs including also
oceanographic and fishing effort covariates.
The Delta-GAM approach performed better for European
hake, mantis shrimp and common cuttlefish, while
GAMs based on Gaussian and Tweedie were performing
better for the red mullet and common sole, respectively.
The results highlighted that adding specific oceanographic
and effort covariates to spatiotemporal variables
improved the performances of spatial distribution
models especially for European hake, mantis shrimp
and red mullet. Significant additional explanatory variables
were bottom temperature, bottom dissolved oxygen,
salinity, particulate organic carbon, and fishing
effort for European hake; the same variables and pH
for mantis shrimp; chlorophyll-a, pH, sea surface temperature,
bottom dissolved oxygen, nitrate and effort for
the red mullet; phosphate and salinity for common
sole; bottom temperature, bottom dissolved oxygen,
and phosphate for the common cuttlefish.
The findings highlight that more accurate estimates
of spatial distribution of demersal species biomass
from trawl survey data can generally be obtained by
integrating oceanographic variables and effort in
GAMs approaches with potential impacts on stock
assessment and essential fish habitats identification