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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Using the Modern Modelling Complex for Operational Forecasting of Oceanographic Conditions in the Ukrainian Part of the Sea of Azov - the Black Sea Basin</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Yurii Tuchkovenko</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Dmytro Kushnir</string-name>
        </contrib>
      </contrib-group>
      <abstract>
        <p>This paper addresses one of the most pressing challenges of Ukraine today, namely the establishment of a new cutting-edge automatized system for operational forecasting of oceanographic parameters in the Sea of Azov - the Black Sea basin. To reestablish a national maritime prediction system of Ukraine, lost after the Russian Federation had annexed the Crimea in 2014, the suite of dynamically coupled numerical models Delft3D-FLOW + Delft3D-WAVE (SWAN) is considered to be applied. This set of coupled numerical models was previously adapted to the conditions of the Black Sea area with employment of meteorological forcing fields from the Global Forecast System (GFS) model. Results of the model trial runs, which were used to evaluate and predict the marine oceanographic conditions in the North-Western part of the Black Sea near the Odessa Region are presented. The current version of the automatized modelling complex allows to obtain the following predictive oceanographic data: wind conditions, sea level deviations from the undisturbed state, spatio-temporal variability of the wind waves parameters, water circulation (currents) in the coastal zones with waves taken into consideration. Embedding the automatized modelling complex 'Delft3D-FLOW + SWAN' into the structure of the intelligent information system for revealing a hydrographic situation in the Black Sea can meet the challenge to operationally forecast the oceanographic conditions in the present (with a hindcast up to 5 days) and in the future (up to 4 days) for the entire Black Sea basin, focusing on its northwestern part and selected coastal areas with the required spatial resolution.</p>
      </abstract>
      <kwd-group>
        <kwd>1 The Black Sea</kwd>
        <kwd>operational forecasting</kwd>
        <kwd>oceanographic conditions</kwd>
        <kwd>numerical models</kwd>
        <kwd>modelling complex</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        As a result of the occupation of the Crimean
Peninsula by the Russian Federation in 2014,
Ukraine lost the national automated maritime
forecasting system for the Black and Azov Seas,
which was established and operated on the basis
of the Marine Hydro-Physical Institute of the
National Academy of Sciences of Ukraine
(Sevastopol, Crimea) under financial and
technical support of the European Union [
        <xref ref-type="bibr" rid="ref1 ref2">1, 2</xref>
        ].
The cooperation between the
HydroMeteorological Center of Russian Federation and
Ukrainian authorities in terms of providing with
the specialized maritime forecasts for the
AzovBlack Sea basin was suspended.
      </p>
      <p>Consequently, there is a demanding need for
re-establishing the modern national system of
operational forecasting of oceanographic
parameters in the Ukrainian Azov-Black Sea
basin to meet the needs of the maritime complex,
maritime transport infrastructure, and the Naval
Forces of Ukraine.</p>
      <p>
        To accomplish this task, an automated
software complex, employing modern numerical
models, was developed at the Odessa State
Ecological University [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. This modelling
complex was integrated into the intelligent
information system for revealing the
hydrographic situation in the Black Sea [
        <xref ref-type="bibr" rid="ref4 ref5">4, 5</xref>
        ] and
designed for an operational short-term forecasting
of spatio-temporal variability of oceanographic
characteristics in the Black Sea waters.
      </p>
      <p>This paper presents the description of the
structure of automated modelling complex for
operational short-term forecasting of the
oceanographic conditions in the Black Sea waters,
the results of verification and validation of
modules, comprising this complex, and discussion
of the prospects for future improvements.</p>
    </sec>
    <sec id="sec-2">
      <title>2. General description of the structure of automated modelling complex</title>
      <p>
        The automated modelling complex for
predicting the variability of oceanographic
characteristics in the Azov-Black Sea basin is
built around newer generation numerical models,
as compared against the ones [
        <xref ref-type="bibr" rid="ref1 ref2">1, 2</xref>
        ], which are
now successfully implemented to address similar
forecasting problems in Europe [
        <xref ref-type="bibr" rid="ref6 ref7">6, 7</xref>
        ], USA
[810], Australia and New Zealand [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ], Asia [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ],
and designed for predicting the sea waves and
water circulation in coastal areas.
      </p>
      <p>
        The complex is based on the usage of two
software modules Delft3D-FLOW and
Delft3DWAVE of the suite of integrated environmental
models Delft3D [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ], developed by Deltares, the
Netherlands. The developer granted free access to
the codes of software packages, and their use is
governed by the GNU General Public License,
version 3 [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ].
      </p>
      <p>Delft3D-FLOW is a multi-dimensional (2D or
3D) hydrodynamic (and transport) simulation
program which calculates non-steady flow and
transport phenomena that result from tidal and
meteorological forcing on a rectilinear or a
curvilinear, boundary fitted grid. It simulates
thermal stratification in lakes, seas and reservoirs;
stratified and density driven flows; tide and
winddriven currents (i.e. storm surges); fresh-water
river discharges in bays; non-hydrostatic flows;
transport of dissolved material and pollutants etc.</p>
      <p>
        Delft3D-FLOW solves the Navier-Stokes
equations for an incompressible fluid, under the
shallow water and the Boussinesq assumptions.
The system of equations consists of the horizontal
momentum equations, the continuity equation, the
transport equation, and a turbulence closure
model [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ]. The hydrodynamic equations are
solved either on a Cartesian rectangular,
orthogonal curvilinear (boundary fitted), or
spherical grid in the horizontal direction. In
threedimensional simulations, a boundary fitted
(σ-coordinate system) or Cartesian rectangular
(Z-model) approach is used for the vertical grid
direction. In the σ-coordinate system the shallow
water assumption is valid, which means that the
vertical momentum equation is reduced to the
hydrostatic pressure relation. Delft3D also
provides an option to apply the so-called
nonhydrostatic pressure model in the Z-model [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ].
      </p>
      <p>
        Delft3D-WAVE is based on the spectral model
SWAN (Simulating Waves Nearshore Model)
[
        <xref ref-type="bibr" rid="ref16">16</xref>
        ] and computes the non-steady propagation of
short-crested waves over an uneven bottom,
considering wind action, energy dissipation due to
bottom friction, wave breaking, refraction (due to
bottom topography, water levels and flow fields),
shoaling and directional spreading. In SWAN, the
waves are described by the discrete spectral action
balance equation taking into account the source of
energy density, representing the effects of
generation, dissipation and non-linear wave-wave
interactions. The following processes are
accounted for in SWAN: wave generation by
wind; dissipation by whitecapping; bottom
friction and depth-induced breaking; non-linear
wave-wave interaction (quadruplets and triads).
      </p>
      <p>Both modules employ curvilinear
computational grids in the horizontal plane and
use the ‘telescoping’ technique for the results of
calculations.</p>
      <p>The modules are coupled by means of a shared
interface and interact with each other. The
influence of currents on the parameters of wind
waves and wave propagation is taken into account
in the coupled model. The computation of coastal
currents and the intensity of turbulent mixing of
waters incorporates wave processes as well.</p>
      <p>A correct accounting for the effects of sea
waves and currents interaction makes it possible
to enhance the quality of calculation of the sea
currents, water temperature and salinity in the
upper layer of the water column.</p>
      <p>The program codes of the Delft3D-FLOW and
SWAN are compiled into executable files using
the Visual Fortran and C ++ compilers. Both
modules use the same set of computational grids
and utilize all cores of workstation (or cluster
nodes). The Delft3D-FLOW model splits a task
for its parallel execution on processor cores
(nodes) using the Message Passing Interface
(MPI). The SWAN model (WAVE module), by
default, uses parallel computations on all
processor cores in accordance with the OpenMP
(Open Multi-Processing) standard.</p>
      <p>
        The basis of the oceanographic forecast is the
data of 10-days meteorological forecast from the
global weather forecast numerical model GFS
(Global Forecast System). A GFS web-service
(National Operational Model Archive and
Distribution System – NOMADS) is situated in
the United States [
        <xref ref-type="bibr" rid="ref17">17</xref>
        ]. Global Forecast System
model output is being produced with 0.25-degree
resolution in space and 3 hrs. in time.
      </p>
      <p>
        The US National Weather Service provides
free access to the GFS forecast data. Ongoing
operational forecasts of meteorological
parameters are being read from the NOMADS
web resource (Data Transfer: NCEP GFS
Forecasts (0.25-degree grid) [
        <xref ref-type="bibr" rid="ref18">18</xref>
        ]. In addition, all
forecasts made over the past few years within a
specified time are stored in the historical archive
of GFS forecasts at the corresponding web
resource (NCEP GFS 0.25 Degree Global
Forecast Grids Historical Archive) [
        <xref ref-type="bibr" rid="ref19">19</xref>
        ] of the US
National Center for Atmospheric Research
(NCAR) and can be downloaded freely. The
forecasting products based on the GFS model data
are used, in particular, in the operational activities
of the Ukrainian Hydrometeorological Center.
      </p>
      <p>The modelling complex Delft3D-FLOW +
SWAN is equipped with a service shell, which
includes a graphical interface for use by end users.
This shell automates the procedure of reading
meteorological information from the NOMADS
web service, filters these data and prepares it for
use in the models, facilitates the procedure of
setting up the Delft3D-FLOW and
Delft3DWAVE (SWAN) software modules, performs
model calculations on nested grids (NESTING
procedure), provides visualization technique for
input meteorological data and results of
operational forecasting of oceanographic
characteristics (using the QUICKPLOT software
module).</p>
      <p>Current version of the automated software
complex initially performs the calculations on
a generalized grid for the entire Azov-Black Sea
basin with a spatial resolution of Δxy = 2.5-5 km
(1 in Fig. 1A). Inside the basic computational
grid, the following nested computational grids
with higher spatial resolution were generated:
1. Grid for the northwestern part of the
Black Sea with Δxy = 0.8-1.5 km (2 in Fig.1A).
2. Grid for the water area of the Odessa
region at the North-Western parts of the Black
Sea, where the seaports of Chernomorsk,
Odessa, Yuzhny are located (Δxy = 90-250 m)
(Fig. 1B).</p>
      <p>Fig. 2 presents a schematic overview of the
forecasting procedure, including data processing
and interconnections between modules.</p>
    </sec>
    <sec id="sec-3">
      <title>3. Results of the forecasting complex trial runs</title>
      <p>The task of ensuring the reliable
oceanographic forecasts with the use of numerical
models involves the implementation of
procedures for models’ adaptation to the
conditions of the studied water areas, their
verification and validation.</p>
      <p>
        Verification of the modelling complex was
performed by means of comparing the results of
simulated water level with observational data
from the marine hydrometeorological stations of
Hydrometeorological Center of the Black and
Azov Seas, located at the Chernomorsk, Odessa
and Yuzhny ports. Furthermore, the modelled sea
drifting currents and wind wave parameters were
compared against in-situ data logged at
hydrometeorological buoy SW Midi-185 (Fugro
OCEANOR, Norway) stationed in the Odessa
Bay (46.484N, 30.785E) [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ].
      </p>
      <p>Fig. 3, 4 present several results of model
verification runs for the time periods of
08.10.18.10.2016 and 16.04.-25.04.2017, under stormy
wind conditions. The assimilated meteodata from
the GFS global atmospheric model was used as an
input to the models.</p>
      <p>The verification showed promising potential
for employing the software complex of integrated
numerical models ‘Delft3D-FLOW + SWAN’ as
a part of the operational forecasting system for
predicting the oceanographic parameters of the
Ukrainian marine environment.</p>
      <p>The validation of the model complex was
performed by means of making the forecasts with
different warning times. The produced 10-days
forecasts of storm surges and wind waves in the
water area of the Odessa region at the
northwestern part of the Black Sea were compared
against the observed values.</p>
      <p>Validation results show that the forecast of
wind surges and wave heights with warning time
up to 5 days are in good agreement with the
observation data, provided that there is no
significant uncertainty of the meteorological
forecast, in particular, wind conditions predicted
by the GFS model.</p>
      <p>Selected results of approbation of the
modelling complex in the forecasting mode using
the GFS synoptic forecasts of wind conditions
over the Black Sea, are presented at fig. 5.</p>
    </sec>
    <sec id="sec-4">
      <title>4. Conclusions</title>
      <p>The results of the verification and validation of
the complex of integrated numerical models
‘Delft3D-FLOW + SWAN’ demonstrate good
prospects of using this complex as a part of the
system of operational forecast of the variability of
oceanographic parameters in the Ukrainian part of
the Azov-Black Sea basin with assimilation of
predictive meteorological information from the
GFS global atmospheric model.</p>
      <p>Operational oceanographic information, which
can be obtained as a result of the application of the
automated software complex ‘Delft3D-FLOW +
SWAN’, contributes to the improvement of
navigation safety, especially in shallow coastal
and estuarine areas of the sea, on the approaches
to the sea-ports and other areas of the Azov-Black
Sea basin. The application of obtained prognostic
information will result in increasing efficiency of
the search and rescue operations due to recording
the current (operational) and expected
hydrometeorological conditions, and, especially, the
pattern of the distribution of currents which
determine the movement of objects with different
buoyancy, including wind drift.</p>
      <p>Integration of the automated modelling
complex ‘Delft3D-FLOW + SWAN’ into the
structure of an intelligent information system for
revealing the hydrographic situation in the Black
Sea will allow to solve the problems of the
operational (fast) assessment of the state of the
surrounding (marine) environment by providing
the information about the oceanographic situation
in the present (with a hindcast up to 5 days) and
future (up to 4 days) time for the entire Black Sea,
its northwestern part and selected areas of the
coastal zones with the necessary spatial
discretization of data.</p>
      <p>The set of oceanographic data that can be
obtained with the current version of the automated
modelling complex ‘Delft3D-FLOW + SWAN’
includes: wind conditions, sea level deviations
from the undisturbed state under the influence of
wind in the coastal zones (which determine the
actual depths), spatio-temporal variability of the
parameters of wind waves, waters circulation
(currents) in the coastal areas of the sea,
considering the influence of wind waves.</p>
    </sec>
    <sec id="sec-5">
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    </sec>
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