<?xml version="1.0" encoding="utf-8"?><rss version="2.0"><channel><title>OS - Latest Articles</title><link>http://www.ocean-sci.net/</link><description>Ocean Science Latest Articles</description><language>en</language><item><title>A simple and self-consistent geostrophic-force-balance model of the thermohaline circulation with boundary mixing</title><link>http://www.ocean-sci.net/8/49/2012/</link><description>&lt;b&gt;A simple and self-consistent geostrophic-force-balance model of the thermohaline circulation with boundary mixing&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 8, 49-63, 2012&lt;br /&gt;&lt;br /&gt;Author(s): J. Callies and J. Marotzke&lt;br /&gt;&lt;br /&gt;A simple model of the thermohaline circulation (THC) is formulated,
      with the objective to represent explicitly the geostrophic force
      balance of the basinwide THC. The model comprises advective-diffusive
      density balances in two meridional-vertical planes located at the
      eastern and the western walls of a hemispheric sector basin. Boundary
      mixing constrains vertical motion to lateral boundary layers along
      these walls. Interior, along-boundary, and zonally integrated
      meridional flows are in thermal-wind balance. Rossby waves and the
      absence of interior mixing render isopycnals zonally flat except near
      the western boundary, constraining meridional flow to the western
      boundary layer. The model is forced by a prescribed meridional surface
      density profile.

&lt;br&gt;&lt;br&gt;

      This two-plane model reproduces both steady-state density and
      steady-state THC structures of a primitive-equation model. The
      solution shows narrow deep sinking at the eastern high latitudes,
      distributed upwelling at both boundaries, and a western boundary
      current with poleward surface and equatorward deep flow. The
      overturning strength has a 2/3-power-law dependence on
      vertical diffusivity and a 1/3-power-law dependence on the
      imposed meridional surface density difference. Convective mixing plays
      an essential role in the two-plane model, ensuring that deep sinking
      is located at high latitudes. This role of convective mixing is
      consistent with that in three-dimensional models and marks a sharp
      contrast with previous two-dimensional models.

&lt;br&gt;&lt;br&gt;

      Overall, the two-plane model reproduces crucial features of the THC as
      simulated in simple-geometry three-dimensional models. At the same
      time, the model self-consistently makes quantitative a conceptual
      picture of the three-dimensional THC that hitherto has been expressed
      either purely qualitatively or not self-consistently.</description><pubDate>Fri, 27 Jan 2012 00:00:00 +0100</pubDate></item><item><title>The impacts of physical processes on oxygen variations in the North Sea-Baltic Sea transition zone</title><link>http://www.ocean-sci.net/8/37/2012/</link><description>&lt;b&gt;The impacts of physical processes on oxygen variations in the North Sea-Baltic Sea transition zone&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 8, 37-48, 2012&lt;br /&gt;&lt;br /&gt;Author(s): L. Jonasson, J. L. S. Hansen, Z. Wan, and J. She&lt;br /&gt;&lt;br /&gt;The bottom water of the North Sea–Baltic Sea transition zone suffers from
seasonal hypoxia, usually during late summer and autumn. These hypoxic
events are critical for the benthic ecosystems and the concentration of
dissolved oxygen is an important measure of the water quality. However, to
model the subsurface dissolved oxygen is a major challenge, especially in
estuaries and coastal regions. In this study a simple oxygen consumption
model is coupled to a 3-D hydrodynamical model in order to analyse oxygen
variations in the transition zone. The benthic and pelagic consumption of
oxygen is modelled as a function of water temperature and oxygen
concentration. A quantitative assessment of the model demonstrates that the
model is able to resolve both seasonal and interannual variations in
dissolved oxygen. Results from several experimental simulations highlight
the importance of physical processes in the regulation of dissolved oxygen.
Advective oxygen transport and wind induced mixing are two key processes
that control the extent of hypoxia in the transition zone.</description><pubDate>Tue, 24 Jan 2012 00:00:00 +0100</pubDate></item><item><title>The vertical structure of oceanic Rossby waves: a comparison of high-resolution model data to theoretical vertical structures</title><link>http://www.ocean-sci.net/8/19/2012/</link><description>&lt;b&gt;The vertical structure of oceanic Rossby waves: a comparison of high-resolution model data to theoretical vertical structures&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 8, 19-35, 2012&lt;br /&gt;&lt;br /&gt;Author(s): F. K. Hunt, R. Tailleux, and J. J.-M. Hirschi&lt;br /&gt;&lt;br /&gt;Tests of the new Rossby wave theories that have been developed over the past
decade to account for discrepancies between theoretical wave speeds and
those observed by satellite altimeters have focused primarily on the surface
signature of such waves. It appears, however, that the surface signature of
the waves acts only as a rather weak constraint, and that information on the
vertical structure of the waves is required to better discriminate between
competing theories.

Due to the lack of 3-D observations, this paper uses high-resolution model
data to construct realistic vertical structures of Rossby waves and compares
these to structures predicted by theory. The meridional velocity of a
section at 24° S in the Atlantic Ocean is pre-processed using the Radon
transform to select the dominant westward signal. Normalized profiles are
then constructed using three complementary methods based respectively on: (1)
averaging vertical profiles of velocity, (2) diagnosing the amplitude of the
Radon transform of the westward propagating signal at different depths, and
(3) EOF analysis. These profiles are compared to profiles calculated using
four different Rossby wave theories: standard linear theory (SLT), SLT plus
mean flow, SLT plus topographic effects, and theory including mean flow and
topographic effects. Our results support the classical theoretical
assumption that westward propagating signals have a well-defined vertical
modal structure associated with a phase speed independent of depth, in
contrast with the conclusions of a recent study using the same model but for
different locations in the North Atlantic. The model structures are in
general surface intensified, with a sign reversal at depth in some regions,
notably occurring at shallower depths in the East Atlantic. SLT provides a
good fit to the model structures in the top 300 m, but grossly overestimates
the sign reversal at depth. The addition of mean flow slightly improves the
latter issue, but is too surface intensified. SLT plus topography rectifies
the overestimation of the sign reversal, but overestimates the amplitude of
the structure for much of the layer above the sign reversal. Combining the
effects of mean flow and topography provided the best fit for the mean model
profiles, although small errors at the surface and mid-depths are carried
over from the individual effects of mean flow and topography respectively.
Across the section the best fitting theory varies between SLT plus
topography and topography with mean flow, with, in general, SLT plus
topography performing better in the east where the sign reversal is less
pronounced. None of the theories could accurately reproduce the deeper sign
reversals in the west. All theories performed badly at the boundaries. The
generalization of this method to other latitudes, oceans, models and
baroclinic modes would provide greater insight into the variability in the
ocean, while better observational data would allow verification of the model
findings.</description><pubDate>Fri, 13 Jan 2012 00:00:00 +0100</pubDate></item><item><title>Mapping turbidity layers using seismic oceanography methods</title><link>http://www.ocean-sci.net/8/11/2012/</link><description>&lt;b&gt;Mapping turbidity layers using seismic oceanography methods&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 8, 11-18, 2012&lt;br /&gt;&lt;br /&gt;Author(s): E. A. Vsemirnova, R. W. Hobbs, and P. Hosegood&lt;br /&gt;&lt;br /&gt;Using a combination of seismic oceanographic and physical oceanographic data
acquired across the Faroe-Shetland Channel we present evidence of a
turbidity layer that transports suspended sediment along the western
boundary of the Channel. We focus on reflections observed on seismic data
close to the sea-bed on the Faroese side of the Channel below 900 m. Forward
modelling based on independent physical oceanographic data show that
thermohaline structure does not explain these near sea-bed reflections but
they are consistent with optical backscatter data, dry matter concentrations
from water samples and from seabed sediment traps. Hence we conclude that an
impedance contrast in water column caused by turbidity layers is strong
enough to be seen in seismic sections and this provides a new way to
visualise this type of current and its lateral structure. By inverting the
seismic data we estimate a sediment concentration in the turbidity layers,
present at the time of the survey, of 45 &amp;plusmn; 25 mg l&lt;sup&gt;−1&lt;/sup&gt;. We believe this is the
first direct observation of a turbidity current using Seismic Oceanography.</description><pubDate>Tue, 10 Jan 2012 00:00:00 +0100</pubDate></item><item><title>Using dissolved oxygen concentrations to determine mixed layer depths in the Bellingshausen Sea</title><link>http://www.ocean-sci.net/8/1/2012/</link><description>&lt;b&gt;Using dissolved oxygen concentrations to determine mixed layer depths in the Bellingshausen Sea&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 8, 1-10, 2012&lt;br /&gt;&lt;br /&gt;Author(s): K. Castro-Morales and J. Kaiser&lt;br /&gt;&lt;br /&gt;Concentrations of oxygen (O&lt;sub&gt;2&lt;/sub&gt;) and other dissolved gases in the oceanic
mixed layer are often used to calculate air-sea gas exchange fluxes. The
mixed layer depth (&lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt;) may be defined using criteria based on
temperature or density differences to a reference depth near the ocean
surface. However, temperature criteria fail in regions with strong
haloclines such as the Southern Ocean where heat, freshwater and momentum
fluxes interact to establish mixed layers. Moreover, the time scales of
air-sea exchange differ for gases and heat, so that &lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt; defined using
oxygen may be different than &lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt; defined using temperature or density.
Here, we propose to define an O&lt;sub&gt;2&lt;/sub&gt;-based mixed layer depth,
&lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt;(O&lt;sub&gt;2&lt;/sub&gt;), as the depth where the relative difference between the
O&lt;sub&gt;2&lt;/sub&gt; concentration and a reference value at a depth equivalent to 10 dbar
equals 0.5 %. This definition was established by analysis of O&lt;sub&gt;2&lt;/sub&gt;
profiles from the Bellingshausen Sea (west of the Antarctic Peninsula) and
corroborated by visual inspection. Comparisons of &lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt;(O&lt;sub&gt;2&lt;/sub&gt;) with
&lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt; based on potential temperature differences, i.e., &lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt;(0.2 °C) and &lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt;(0.5 °C), and potential density differences, i.e.,
&lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt;(0.03 kg m&lt;sup&gt;&amp;minus;3&lt;/sup&gt;) and &lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt;(0.125 kg m&lt;sup&gt;&amp;minus;3&lt;/sup&gt;), showed that
&lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt;(O&lt;sub&gt;2&lt;/sub&gt;) closely follows &lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt;(0.03 kg m&lt;sup&gt;&amp;minus;3&lt;/sup&gt;). Further
comparisons with published &lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt; climatologies and &lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt; derived from
World Ocean Atlas 2005 data were also performed. To establish &lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt; for
use with biological production estimates in the absence of O&lt;sub&gt;2&lt;/sub&gt; profiles,
we suggest using &lt;i&gt;z&lt;/i&gt;&lt;sub&gt;mix&lt;/sub&gt;(0.03 kg m&lt;sup&gt;&amp;minus;3&lt;/sup&gt;), which is also the basis for the
climatology by de Boyer Montégut et al. (2004).</description><pubDate>Wed, 04 Jan 2012 00:00:00 +0100</pubDate></item><item><title>Extraction of spatial-temporal rules from mesoscale eddies in the South China Sea based on rough set theory</title><link>http://www.ocean-sci.net/7/835/2011/</link><description>&lt;b&gt;Extraction of spatial-temporal rules from mesoscale eddies in the South China Sea based on rough set theory&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 7, 835-849, 2011&lt;br /&gt;&lt;br /&gt;Author(s): Y. Du, X. Fan, Z. He, F. Su, C. Zhou, H. Mao, and D. Wang&lt;br /&gt;&lt;br /&gt;In this paper, a rough set theory is introduced to
represent spatial-temporal relationships and extract the corresponding
rules from typical mesoscale-eddy states in the South China Sea (SCS). Three
decision attributes are adopted in this study, which make the approach
flexible in retrieving spatial-temporal rules with different features. The
results demonstrate that this approach is effective, and therefore provides
a powerful approach to forecasts in the future studies. Spatial-temporal
rules in the SCS indicate that warm eddies following the rules are generally
in the southeastern and central SCS around 2000 m isobaths in winter. Their
intensity and vorticity are weaker than those of cold eddies. They usually
move a shorter distance. By contrast, cold eddies are in 2000 m and deeper
regions of the southwestern and northeastern SCS in spring and fall. Their
intensity and vorticity are strong. Usually they move a long distance. In
winter, a few rules are followed by cold eddies in the northern tip of the
basin and southwest of Taiwan Island rather than warm eddies, indicating
cold eddies may be well-regulated in the region. Several warm-eddy rules are
achieved west of Luzon Island, indicating warm eddies may be well-regulated
in the region as well. Otherwise, warm and cold eddies are distributed not
only in the jet flow off southern Vietnam induced by intraseasonal wind
stress in summer-fall, but also in the northern shallow water, which should
be a focus of a future study.</description><pubDate>Wed, 07 Dec 2011 00:00:00 +0100</pubDate></item><item><title>Wind forcing of salinity anomalies in the Denmark Strait overflow</title><link>http://www.ocean-sci.net/7/821/2011/</link><description>&lt;b&gt;Wind forcing of salinity anomalies in the Denmark Strait overflow&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 7, 821-834, 2011&lt;br /&gt;&lt;br /&gt;Author(s): S. Hall, S. R. Dye, K. J. Heywood, and M. R. Wadley&lt;br /&gt;&lt;br /&gt;The overflow of dense water from the Nordic Seas to the North Atlantic
through Denmark Strait is an important part of the global thermohaline
circulation. The salinity of the overflow plume has been measured by an
array of current meters across the continental slope off the coast of
Angmagssalik, southeast Greenland since September 1998. During 2004 the
salinity of the overflow plume changed dramatically; the entire width of the
array (70 km) freshened between January 2004 and July 2004, with a
significant negative salinity anomaly of about 0.06 in May. The event in May
represents a fresh anomaly of over 3 standard deviations from the mean since
recording began in 1998. The OCCAM 1/12° Ocean General Circulation Model
not only reproduces the 2004 freshening event (&lt;i&gt;r&lt;/i&gt;=0.96, &lt;i&gt;p&lt;/i&gt;&lt;0.01), but also
correlates well with salinity observations over a previous 6 year period
(&lt;i&gt;r&lt;/i&gt;=0.54, &lt;i&gt;p&lt;/i&gt;&lt;0.01), despite the inevitable limitations of a z-coordinate
model in representing the mixing processes at and downstream of the Denmark
Strait sill. Consequently the physical processes causing the 2004 anomaly
and prior variability in salinity are investigated using the model output.
Our results reject the hypotheses that the anomaly is caused by processes
occurring between the overflow sill and the moorings, or by an increase in
upstream net freshwater input. Instead, we show that the 2004 salinity
anomaly is caused by an increase in volume flux of low salinity water, with
a potential density greater than 27.60 kg m&lt;sup&gt;−3&lt;/sup&gt;, flowing towards the
Denmark Strait sill in the East Greenland Current. This is caused by an
increase in southward wind stress upstream of the sill at around 75° N
20° W four and a half months earlier, and an associated strengthening of
the East Greenland Current.</description><pubDate>Wed, 30 Nov 2011 00:00:00 +0100</pubDate></item><item><title>Usefulness of high resolution coastal models for operational oil spill forecast: the &quot;Full City&quot; accident</title><link>http://www.ocean-sci.net/7/805/2011/</link><description>&lt;b&gt;Usefulness of high resolution coastal models for operational oil spill forecast: the &quot;Full City&quot; accident&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 7, 805-820, 2011&lt;br /&gt;&lt;br /&gt;Author(s): G. Broström, A. Carrasco, L. R. Hole, S. Dick, F. Janssen, J. Mattsson, and S. Berger&lt;br /&gt;&lt;br /&gt;Oil spill modeling is considered to be an important part of a decision
support system (DeSS) for oil spill combatment and is useful for remedial
action in case of accidents, as well as for designing the environmental
monitoring system that is frequently set up after major accidents. Many
accidents take place in coastal areas, implying that low resolution basin
scale ocean models are of limited use for predicting the trajectories of an
oil spill. In this study, we target the oil spill in connection with the
&quot;Full City&quot; accident on the Norwegian south coast and compare operational
simulations from three different oil spill models for the area. The result
of the analysis is that all models do a satisfactory job. The &quot;standard&quot;
operational model for the area is shown to have severe flaws, but by
applying ocean forcing data of higher resolution (1.5 km resolution), the
model system shows results that compare well with observations. The study
also shows that an ensemble of results from the three different models is
useful when predicting/analyzing oil spill in coastal areas.</description><pubDate>Tue, 29 Nov 2011 00:00:00 +0100</pubDate></item><item><title>Operational forecast of hydrophysical fields in the Georgian Black Sea coastal zone within the ECOOP</title><link>http://www.ocean-sci.net/7/793/2011/</link><description>&lt;b&gt;Operational forecast of hydrophysical fields in the Georgian Black Sea coastal zone within the ECOOP&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 7, 793-803, 2011&lt;br /&gt;&lt;br /&gt;Author(s): A. A. Kordzadze and D. I. Demetrashvili&lt;br /&gt;&lt;br /&gt;One of the parts of the Black Sea Nowcasting/Forecasting System is the
regional forecasting system for the easternmost part of the Black Sea
(including the Georgian water area), which has been developed within the
context of the EU International projects ARENA and ECOOP. A core of the
regional system is a high-resolution baroclinic regional model of the Black
Sea dynamics developed at M. Nodia Institute of Geophysics (RM-IG). This
model is nested in the basin-scale model of Marine Hydrophysical Institute
(MHI, Sevastopol/Ukraine). The regional area is limited to the Caucasian and
Turkish coastal lines and the western liquid boundary coinciding with the
meridian 39.36° E. Since June 2010 we have regularly been computing 3
days' forecasts of current, temperature and salinity for the easternmost part
of the Black Sea with 1 km spacing. In this study the results of two
forecasts are presented. The first forecast corresponds to summer season and
covers the prognostic interval from 00:00 h, 6 August to 00:00 h, 9 August
2010. The second one corresponds to autumn season and covers the prognostic
interval from 00:00 h, 26 October to 00:00 h, 29 October 2010. Data needed
for the forecasts – the initial and prognostic hydrophysical fields on the
open boundary, also 2-D prognostic meteorological fields at the sea surface
– wind stress, heat fluxes, evaporation and precipitation rates for our
regional area are being placed on the MHI server every day and we are
available to use these data operatively. Prognostic hydrophysical fields are
results of forecast by the basin-scale model of MHI and 2-D meteorological
boundary fields represent the results of forecast by regional atmospheric
model ALADIN. All these fields are given on the grid of basin-scale model
with 5 km spacing and with one-hour time step frequency for the integration
period. The analysis of predicted fields shows that to use the model with
high resolution is very important factor for identification of nearshore
eddies of small sizes. It should be noted the very different character of
regional circulation in summer and autumn seasons in the easternmost part of
the Black Sea.</description><pubDate>Fri, 25 Nov 2011 00:00:00 +0100</pubDate></item><item><title>How well can we derive Global Ocean Indicators from Argo data?</title><link>http://www.ocean-sci.net/7/783/2011/</link><description>&lt;b&gt;How well can we derive Global Ocean Indicators from Argo data?&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 7, 783-791, 2011&lt;br /&gt;&lt;br /&gt;Author(s): K. von Schuckmann and P.-Y. Le Traon&lt;br /&gt;&lt;br /&gt;Argo deployments began in the year 2000 and by November 2007, the array
reached its initial goal of 3000 floats operating worldwide. In this study,
Argo temperature and salinity measurements during the period 2005 to 2010 are
used to estimate Global Ocean Indicators (GOIs) such as global ocean heat
content (GOHC), global ocean freshwater content (GOFC) and global steric sea
level (GSSL). We developed a method based on a simple box averaging scheme
using a weighted mean. Uncertainties due to data processing methods and
choice of climatology are estimated. This method is easy to implement and run
and can be used to set up a routine monitoring of the global ocean. Over the
six year time period, trends of GOHC and GSSL are
0.54 ± 0.1 W m&lt;sup&gt;−2&lt;/sup&gt; and 0.75 ± 0.15 mm yr&lt;sup&gt;−1&lt;/sup&gt;,
respectively. The trend of GOFC is barely significant. Results show that
there is significant interannual variability at global scale, especially for
GOFC. Annual mean GOIs from the today's Argo sampling can be derived with an
accuracy of ±0.11 cm for GSSL, ±0.22 × 10&lt;sup&gt;8&lt;/sup&gt; J m&lt;sup&gt;−2&lt;/sup&gt; for GOHC, and
±700 km&lt;sup&gt;3&lt;/sup&gt; for GOFC. Long-term trends (15 yr) of GOIs based on the
complete Argo sampling for the upper 1500 m depth can be estimated with an
accuracy of ±0.04 mm yr&lt;sup&gt;−1&lt;/sup&gt; for GSSL, ±0.02 W m&lt;sup&gt;−2&lt;/sup&gt; for GOHC and ±20 km&lt;sup&gt;3&lt;/sup&gt; yr&lt;sup&gt;−1&lt;/sup&gt;
for GOFC – under the assumption that no systematic errors remain in
the observing system.</description><pubDate>Tue, 22 Nov 2011 00:00:00 +0100</pubDate></item><item><title>A pre-operational three Dimensional variational data assimilation system in the North/Baltic Sea</title><link>http://www.ocean-sci.net/7/771/2011/</link><description>&lt;b&gt;A pre-operational three Dimensional variational data assimilation system in the North/Baltic Sea&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 7, 771-781, 2011&lt;br /&gt;&lt;br /&gt;Author(s): S. Y. Zhuang, W. W. Fu, and J. She&lt;br /&gt;&lt;br /&gt;This paper describes the implementation and evaluation of a pre-operational
three dimensional variational (3DVAR) data assimilation system for the
North/Baltic Sea. Univariate analysis for both temperature and salinity is
applied in a 3DVAR scheme in which the horizontal component of the
background error covariance is modeled by an isotropic recursive filter (IRF) and
the vertical component is represented by dominant Empirical Orthogonal
Functions (EOFs). Observations of temperature and
salinity (&lt;i&gt;T/S&lt;/i&gt;) profiles in the North/Baltic Sea are assimilated in
the year of 2005. Effect of the 3DVAR scheme is assessed by a comparison between
data assimilation run and control run. The statistical analysis indicates that
the model simulation is significantly improved with the 3DVAR scheme. On
average, the root mean square errors (RMSE) of temperature and salinity are
reduced by 0.2 °C and 0.25 psu in the North/Baltic Sea. In addition, the
bias of temperature and salinity is also decreased by 0.1 °C and
0.2 psu, respectively. Starting from an analyzed initial state, one month
simulation without assimilation is carried out with the aim of examining the
persistence of the initial impact. It is shown that the assimilated initial
state can impact the model simulation for nearly two weeks. The influence on
salinity is more pronounced than temperature.</description><pubDate>Tue, 22 Nov 2011 00:00:00 +0100</pubDate></item><item><title>An empirical stochastic model of sea-surface temperatures and surface winds over the Southern Ocean</title><link>http://www.ocean-sci.net/7/755/2011/</link><description>&lt;b&gt;An empirical stochastic model of sea-surface temperatures and surface winds over the Southern Ocean&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 7, 755-770, 2011&lt;br /&gt;&lt;br /&gt;Author(s): S. Kravtsov, D. Kondrashov, I. Kamenkovich, and M. Ghil&lt;br /&gt;&lt;br /&gt;This study employs NASA's recent satellite measurements of sea-surface
temperatures (SSTs) and sea-level winds (SLWs) with missing data filled-in
by Singular Spectrum Analysis (SSA), to construct empirical models that
capture both intrinsic and SST-dependent aspects of SLW variability. The
model construction methodology uses a number of algorithmic innovations that
are essential in providing stable estimates of the model's propagator. The
best model tested herein is able to faithfully represent the time scales and
spatial patterns of anomalies associated with a number of distinct
processes. These processes range from the daily synoptic variability to
interannual signals presumably associated with oceanic or coupled dynamics.
Comparing the simulations of an SLW model forced by the observed SST
anomalies with the simulations of an SLW-only model provides preliminary
evidence for the ocean driving the atmosphere in the Southern Ocean region.</description><pubDate>Mon, 14 Nov 2011 00:00:00 +0100</pubDate></item><item><title>Mean Dynamic Topography of the Black Sea, computed from altimetry, drifter measurements and hydrology data</title><link>http://www.ocean-sci.net/7/745/2011/</link><description>&lt;b&gt;Mean Dynamic Topography of the Black Sea, computed from altimetry, drifter measurements and hydrology data&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 7, 745-753, 2011&lt;br /&gt;&lt;br /&gt;Author(s): A. A. Kubryakov and S. V. Stanichny&lt;br /&gt;&lt;br /&gt;Mean Dynamic Topography (MDT) is a crucial parameter for estimating dynamic
topography, and, therefore, geostrophic circulation from satellite altimetry
measurements. In this work we use drifting buoy measurements, hydrographic
profiles and along-track Sea Level Anomalies (SLA) to reconstruct MDT of the
Black Sea by the &quot;synthetic&quot; method. Obtained MDT shows a lot of mesoscale
features, which are not present in previous MDT fields of the Black Sea,
mostly based on climatic data. Moreover, gradients of sea level in the
synthetic MDT are significantly higher compared to other fields, which is
evidence of more intense currents in the basin.
&lt;br&gt;&lt;/br&gt;
Validation of determined MDT field with independent dynamic heights and
drifter buoy velocities shows good quantitative and qualitative coincidence
over all Black Sea basin and improvements compare to previous fields.
&lt;br&gt;&lt;/br&gt;
New Black Sea MDT will improve quality of altimetry-derived geostrophic
velocities and lead to better understanding of the spatial and temporal
features of the upper layer dynamics.</description><pubDate>Tue, 08 Nov 2011 00:00:00 +0100</pubDate></item><item><title>A computational method for determining XBT depths</title><link>http://www.ocean-sci.net/7/733/2011/</link><description>&lt;b&gt;A computational method for determining XBT depths&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 7, 733-743, 2011&lt;br /&gt;&lt;br /&gt;Author(s): J. Stark, J. Gorman, M. Hennessey, F. Reseghetti, J. Willis, J. Lyman, J. Abraham, and M. Borghini&lt;br /&gt;&lt;br /&gt;A new technique for determining the depth of expendable bathythermographs
(XBTs) is developed. This new method uses a forward-stepping calculation
which incorporates all of the forces on the XBT devices during their
descent. Of particular note are drag forces which are calculated using a new
drag coefficient expression. That expression, obtained entirely from
computational fluid dynamic modeling, accounts for local variations in the
ocean environment. Consequently, the method allows for accurate
determination of depths for any local temperature environment. The results,
which are entirely based on numerical simulation, are compared with the
experiments of LM Sippican T-5 XBT probes. It is found that the calculated
depths differ by less than 3% from depth estimates using the standard
fall-rate equation (FRE). Furthermore, the differences decrease with depth.
The computational model allows an investigation of the fluid flow patterns
along the outer surface of the probe as well as in the interior channel. The
simulations take account of complex flow phenomena such as laminar-turbulent
transition and flow separation.</description><pubDate>Tue, 08 Nov 2011 00:00:00 +0100</pubDate></item><item><title>Annual cycles of chlorophyll-&lt;i&gt;a&lt;/i&gt;, non-algal suspended particulate matter, and turbidity observed from space and in-situ in coastal waters</title><link>http://www.ocean-sci.net/7/705/2011/</link><description>&lt;b&gt;Annual cycles of chlorophyll-&lt;i&gt;a&lt;/i&gt;, non-algal suspended particulate matter, and turbidity observed from space and in-situ in coastal waters&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 7, 705-732, 2011&lt;br /&gt;&lt;br /&gt;Author(s): F. Gohin&lt;br /&gt;&lt;br /&gt;Sea surface temperature, chlorophyll, and turbidity are three variables of
the coastal environment commonly measured by monitoring networks. The
observation networks are often based on coastal stations, which do not
provide a sufficient coverage to validate the model outputs or to be used in
assimilation over the continental shelf. Conversely, the products derived
from satellite reflectance generally show a decreasing quality shoreward, and
an assessment of the limitation of these data is required. The annual cycle,
mean, and percentile 90 of the chlorophyll concentration derived from
MERIS/ESA and MODIS/NASA data processed with a dedicated algorithm have
been compared to in-situ observations at twenty-six selected stations from
the Mediterranean Sea to the North Sea. Keeping in mind the validation, the
forcing, or the assimilation in hydrological, sediment-transport, or
ecological models, the non-algal Suspended Particulate Matter (SPM) is also
a parameter which is expected from the satellite imagery. However, the
monitoring networks measure essentially the turbidity and a consistency
between chlorophyll, representative of the phytoplankton biomass, non-algal
SPM, and turbidity is required. In this study, we derive the satellite
turbidity from chlorophyll and non-algal SPM with a common formula applied
to in-situ or satellite observations. The distribution of the satellite-derived turbidity exhibits the same main statistical
characteristics as those measured in-situ, which satisfies the first condition to monitor the
long-term changes or the large-scale spatial variation over the continental
shelf and along the shore. For the first time, climatologies of turbidity,
so useful for mapping the environment of the benthic habitats, are proposed
from space on areas as different as the southern North Sea or the western
Mediterranean Sea, with validation at coastal stations.</description><pubDate>Mon, 31 Oct 2011 00:00:00 +0100</pubDate></item><item><title>N/P ratio of nutrient uptake in the Baltic Sea</title><link>http://www.ocean-sci.net/7/693/2011/</link><description>&lt;b&gt;N/P ratio of nutrient uptake in the Baltic Sea&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 7, 693-704, 2011&lt;br /&gt;&lt;br /&gt;Author(s): Z. Wan, L. Jonasson, and H. Bi&lt;br /&gt;&lt;br /&gt;The N/P ratio of nutrient uptake, the change of dissolved inorganic nitrogen
(DIN) relative to the change of dissolved inorganic phosphorus (DIP), is a
key parameter for many ecological models. In the Baltic Sea ecosystem, the
N/P ratio of nutrient uptake varies among different basins and different
seasons. The N/P ratio of nutrient alteration, i.e., the ratio of DIN to DIP
altered before and after spring blooms, is not the same as the N/P ratio of
nutrient uptake, but the former can be regarded as an indicator of the
latter in the Baltic Sea. Based on the observed N/P ratio of nutrient
alteration, we hypothesize a non-Redfield N/P ratio of nutrient uptake. The
3-D-ecosystem model ERGOM coupled with the circulation model DMI-BSHcmod was
used to test this hypothesis. When the Redfield ratio was used in the model,
the DIP surplus after spring blooms was too high and resulted in excessive
growth of cyanobacteria and too much nitrogen fixation. When the
non-Redfield ratio was used in the model, these problems tended to
disappear. In summary, we show that: (1) the Redfield N/P ratio of nutrient
uptake in the Baltic Sea tends to be too high; (2) a N/P ratio of 10:1
appears to work better than the Redfield value; and (3) the N/P ratio of
nutrient uptake in the Baltic Proper during spring blooms is around 6:1. As
the model limitation using one identical value for two N/P ratios for
nutrient uptake and remineralization, the quantitative conclusions are only
convincing as a model parameter even though it obviously improves model
predictions. Whether this model parameter is consistent with the biological
nutrient uptake is worth being further verified with some laboratory
investigations or simulations using a more sophisticated model with
independent N/P ratios for nutrient uptake and remineralization.</description><pubDate>Mon, 31 Oct 2011 00:00:00 +0100</pubDate></item><item><title>ENSO-correlated fluctuations in ocean bottom pressure and wind-stress curl in the North Pacific</title><link>http://www.ocean-sci.net/7/685/2011/</link><description>&lt;b&gt;ENSO-correlated fluctuations in ocean bottom pressure and wind-stress curl in the North Pacific&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 7, 685-692, 2011&lt;br /&gt;&lt;br /&gt;Author(s): D. P. Chambers&lt;br /&gt;&lt;br /&gt;We examine the output of an ocean model forced by ECMWF winds to study the
theoretical relationship between wind-induced changes in ocean bottom
pressure in the North Pacific between 1992 until 2010 and ENSO. Our analysis
indicates that while there are significant fluctuations correlated with some
El Niño and La Niña events, the correlation is still relatively low.
Moreover, the ENSO-correlated variability explains only 50 % of the
non-seasonal, low-frequency variance. There are significant residual
fluctuations in both wind-stress curl and ocean bottom pressure in the
region with periods of 4-years and longer. One such fluctuation began in
late 2002 and has been observed by the Gravity Recovery and Climate
Experiment (GRACE). Even after accounting for possible ENSO-correlated
variations, there is a significant trend in ocean bottom pressure in the
region, equivalent to 0.7 ± 0.3 cm yr&lt;sup&gt;−1&lt;/sup&gt; of sea level from January
2003 until December 2008, which is confirmed with steric-corrected
altimetry. Although this low-frequency fluctuation does not appear in the
ocean model, we show that ECMWF winds have a significantly reduced trend
that is inconsistent with satellite observations over the same time period,
and so it appears that the difference is due to a forcing error in the model
and not an intrinsic error.</description><pubDate>Tue, 25 Oct 2011 00:00:00 +0200</pubDate></item><item><title>The Aegean sea marine security decision support system</title><link>http://www.ocean-sci.net/7/671/2011/</link><description>&lt;b&gt;The Aegean sea marine security decision support system&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 7, 671-683, 2011&lt;br /&gt;&lt;br /&gt;Author(s): L. Perivoliotis, G. Krokos, K. Nittis, and G. Korres&lt;br /&gt;&lt;br /&gt;As part of the integrated ECOOP (European Coastal Sea Operational observing
and Forecasting System) project, HCMR upgraded the already existing
standalone Oil Spill Forecasting System for the Aegean Sea, initially
developed for the Greek Operational Oceanography System (POSEIDON), into an
active element of the European Decision Support System (EuroDeSS). The
system is accessible through a user friendly web interface where the case
scenarios can be fed into the oil spill drift model component, while the
synthetic output contains detailed information about the distribution of oil
spill particles and the oil spill budget and it is provided both in text
based ECOOP common output format and as a series of sequential graphics. The
main development steps that were necessary for this transition were the
modification of the forcing input data module in order to allow the import
of other system products which are usually provided in standard formats such
as NetCDF and the transformation of the model's calculation routines to
allow use of current, density and diffusivities data in &lt;i&gt;z&lt;/i&gt; instead of sigma
coordinates. During the implementation of the Aegean DeSS, the system was
used in operational mode in order to support the Greek marine authorities in
handling a real accident that took place in North Aegean area. Furthermore,
the introduction of common input and output files by all the partners of
EuroDeSS extended the system's interoperability thus facilitating data
exchanges and comparison experiments.</description><pubDate>Mon, 24 Oct 2011 00:00:00 +0200</pubDate></item><item><title>Eddy characteristics in the northern South China Sea as inferred from Lagrangian drifter data</title><link>http://www.ocean-sci.net/7/661/2011/</link><description>&lt;b&gt;Eddy characteristics in the northern South China Sea as inferred from Lagrangian drifter data&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 7, 661-669, 2011&lt;br /&gt;&lt;br /&gt;Author(s): Jiaxun Li, Ren Zhang, and Baogang Jin&lt;br /&gt;&lt;br /&gt;Cyclonic and anticyclonic eddies from large scale to submesoscale in the
northern South China Sea (NSCS) have been statistically characterized based
on the satellite-tracked Lagrangian drifters using our developed geometric
eddy identification method. There are in total 2208 eddies identified, 70%
of which are anticyclonic eddies. If the submesoscale eddies are
eliminated, the other eddies in the NSCS will show a 1.2:1 ratio of the
number of anticyclones (210) to the number of cyclones (171). The spatial
distribution of the eddies is regional: in southwest of Taiwan, the number
of anticyclones dominates the number of cyclones, and most of them are the
submesoscale anticyclones with small radii; in contrast, the large and
medium cyclonic eddies are a little more than the same scale anticyclonic
eddies in northwest of Luzon. The temporal distribution of eddy number in
the NSCS has a close relation with the Asian monsoon. The number of the
large and medium eddies peaks during the winter monsoon, while the
submesoscale eddies are apt to generate in the summer monsoon. The spatial
and temporal patterns have a good agreement with the results of the sea
surface height anomaly (SSHA). The maximum and mean tangential velocities of
anticyclones (cyclones) are 40 (30) cm s&lt;sup&gt;−1&lt;/sup&gt; and 25 (15) cm s&lt;sup&gt;−1&lt;/sup&gt;, respectively. The
calculated normalized vorticities from drifters suggest that although the
mesoscale eddies may be considered in geostrophic balance, ageostrophic
dynamics and centrifugal effects may play an important role for the growth
and decay of the mesoscale cores.</description><pubDate>Fri, 21 Oct 2011 00:00:00 +0200</pubDate></item><item><title>About uncertainties in practical salinity calculations</title><link>http://www.ocean-sci.net/7/651/2011/</link><description>&lt;b&gt;About uncertainties in practical salinity calculations&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Ocean Science, 7, 651-659, 2011&lt;br /&gt;&lt;br /&gt;Author(s): M. Le Menn&lt;br /&gt;&lt;br /&gt;In the current state of the art, salinity is a quantity computed from
conductivity ratio measurements, with temperature and pressure known at the
time of the measurement, and using the Practical Salinity Scale algorithm of
1978 (PSS-78). This calculation gives practical salinity values &lt;I&gt;S&lt;/I&gt;. The
uncertainty expected in PSS-78 values is ±0.002, but no details have
ever been given on the method used to work out this uncertainty, and the
error sources to include in this calculation. Following a guide published by
the Bureau International des Poids et Mesures (BIPM), using two independent
methods, this paper assesses the uncertainties of salinity values obtained
from a laboratory salinometer and Conductivity-Temperature-Depth (CTD)
measurements after laboratory calibration of a conductivity cell. The
results show that the part due to the PSS-78 relations fits is sometimes as
significant as the instrument's. This is particularly the case with CTD
measurements where correlations between variables contribute mainly to
decreasing the uncertainty of &lt;I&gt;S&lt;/I&gt;, even when expanded uncertainties of
conductivity cell calibrations are for the most part in the order of 0.002 mS cm&lt;sup&gt;−1&lt;/sup&gt;.
The relations given here, and obtained with the normalized GUM
method, allow a real analysis of the uncertainties' sources and they can be
used in a more general way, with instruments having different
specifications.</description><pubDate>Mon, 17 Oct 2011 00:00:00 +0200</pubDate></item></channel></rss>
