Search

Στα πλαίσια του ερευνητικού προγράμματος Interreg ΘΑΛ-ΧΩΡ 2, με τη συνδυασμένη χρήση μετεωρολογικών μετρήσεων σε όλο το νησί, προγνώσεων του ανέμου από μετεωρολογικά μοντέλα υψηλής ανάλυσης, και στοιχείων από δύο ευρωπαϊκές βάσεις μετεωρολογικών δεδομένων, δημιουργήθηκε βάση δεδομένων για την αποτύπωση μιας όσο το δυνατόν πιο αξιόπιστης εικόνας της χωρικής και χρονικής κατανομής του θαλάσσιου αιολικού δυναμικού, σε ετήσια και σε εποχική βάση. Η αποτυπωμένη πληροφορία αναλύθηκε, συνδυάστηκε και έγινε επέκτασή της σε υψηλότερη ανάλυση 1x1 km, σε ωριαία βάση, για ορίζοντα δεκαετίας. Τα αποτελέσματα κωδικοποιήθηκαν σε εύχρηστη πλατφόρμα Excel, η οποία μπορεί να δοθεί σε οποιονδήποτε ενδιαφερόμενο χρήστη για να εκτιμήσει το αιολικό δυναμικό σε οποιοδήποτε σημείο της Κύπρου, καθώς και της παράκτιας περιοχής της, με αυτόματη παρεμβολή μεταξύ των εκτιμήσεων. Η πλατφόρμα επιτρέπει την εξαγωγή ολικής εικόνας για τον άνεμο στην περιοχή της Κύπρου και, εκτός από τη χωρική εστίαση, δίνει τη δυνατότητα χρονικής επιλογής οποιασδήποτε περιόδου συγκεκριμένων διαστημάτων ωρών, μηνών και ετών, για την περίοδο 2008-2019. Επίσης, αποδίδονται στατιστικές πληροφορίες για τη μέση, μέγιστη, ελάχιστη τιμή, τη διακύμανση της ταχύτητας, καθώς και για τους συντελεστές της κατανομής Weibull. Παράλληλα, παρατίθενται αυτόματα και πληροφορίες για την ημερήσια, μηνιαία και ετήσια κατανομή της ταχύτητας, όπως και οι κατανομές Weibull. Σε μελλοντικό χρόνο, οι παραπάνω δυνατότητες θα προσφέρονται και διαδικτυακά.

A high-resolution operational ocean forecasting system, namely COASTAL CRETE, has been developed for the coastal area of Crete. COASTAL CRETE implements advanced numerical hydrodynamic and sea state models, nested in CMEMS Med MFC products and produces 5-day hourly and 6-hourly averaged forecasts of important marine parameters, such as sea currents, temperature, salinity and waves. The COASTAL CRETE high-resolution (~ 1km) hydrodynamic model is based on a modifi ed POM novel parallel code implemented by CYCOFOS in the East Med and the Levantine Basin, while for wave forecasts, the ECMWF CY46R1 parallel version has been implemented with a resolution of ~1.8 km. The hydrodynamic model has been evaluated against its parent model and with satellite Sea Surface Temperature data with good statistical estimates. Similarly, the wave model is calibrated with insitu data provided from the HCMR buoy network operating in the area. Nested, fi ner grid (~250 m) hydrodynamic and wave models are also implemented to provide on demand information and services to local end users. COASTAL CRETE products are made available through ADAM (Advanced geospatial Data Management platform) developed by MEEO S.r.l. (https://explorer-coastal-crete.adamplatform.eu/)., Un système opérationnel de prévision océanique à haute résolution, à savoir COASTAL CRETE, a été développé pour la zone côtière de la Crète. COASTAL CRETE met en œuvre des modèles numériques avancés d'hydrodynamique et d'état de la mer, imbriqués dans les produits CMEMS Med MFC, et produit des prévisions horaires sur 5 jours et des moyennes sur 6 heures d'importants paramètres marins, tels que les courants marins, la température, la salinité et les vagues. Le modèle hydrodynamique haute résolution (~ 1 km) de COASTAL CRETE est basé sur un code parallèle modifié POM novel mis en œuvre par CYCOFOS dans la Méditerranée orientale et le bassin levantin, tandis que pour les prévisions de vagues, la version parallèle CY46R1 du CEPMMT a été mise en œuvre avec une résolution de ~ 1,8 km. Le modèle hydrodynamique a été évalué par rapport à son modèle parent et aux données satellitaires de température de surface de la mer avec de bonnes estimations statistiques. De même, le modèle de vagues est calibré avec des données in situ fournies par le réseau de bouées HCMR opérant dans la zone. Des modèles hydrodynamiques et de vagues emboîtés, à grille fine (~250 m) sont également mis en œuvre pour fournir des informations et des services à la demande aux utilisateurs finaux locaux. Les produits COASTAL CRETE sont mis à disposition par le biais d'ADAM (Advanced geospatial Data Management platform) développé par MEEO S.r.l. (https://explorer-coastal-crete.adamplatform.eu/).

Η Επιχειρησιακή Ωκεανογραφία είναι ένας από τους πιο ενδιαφέροντες κλάδους της επιστήμης της Ωκεανογραφίας, σχετικά νέα και ταχέως αναπτυσσόμενη τις τελευταίες δεκαετίες, με την αριθμητική μοντελοποίηση ως ένα από τα πιο σημαντικά, συναρπαστικά και ανταγωνιστικά προϊόντα της. Σημαντικός αριθμός αριθμητικών μοντέλων έχουν αναπτυχθεί προκειμένου να αντισταθμιστούν οι δυσκολίες συλλογής in-situ δεδομένων και εξελίσσονται συνεχώς με τη βοήθεια των βελτιώσεων της τεχνολογίας στους τομείς των υπολογιστών και των δορυφόρων. Ωστόσο, μεταξύ των πολλών από τις απαιτούμενες βελτιώσεις ξεχωρίζουν δύο, μεγάλης σημασίας: * εναλλακτικές αριθμητικές προσομοιώσεις, και συγκεκριμένα, ωκεανογραφικές προσομοιώσεις της θαλάσσιας δυναμικής της κυκλοφορίας της ανατολικής Μεσογείου και ιδιαίτερα της θάλασσας της Λεβαντίνης. Αναμενόμενη πρόοδος σε αυτά τα είδη μοντέλων είναι η υψηλότερη λεπτομέρεια και ακρίβεια αποτελεσμάτων. Παρά το γεγονός ότι τέτοια μοντέλα έχουν υιοθετηθεί αποτελεσματικά σε διάφορα μέρη του πλανήτη, δεν έχει εφαρμοστεί ποτέ μέχρι τώρα, στη συγκεκριμένη περιοχή της Λεβαντίνης. * δεδομένα και αριθμητικές μέθοδοι που να βελτιώνουν δορυφορικά προϊόντα, όπως το ύψος επιφάνειας της θάλασσας, οι τιμές θερμοκρασίας, αλατότητας και χλωροφύλλης-α. Ειδικοί αλγόριθμοι, όπως το DINEOF, χρησιμοποιούνται για την συμπλήρωση δεδομένων που λείπουν, που προκαλούνται από αιτίες όπως η νέφωση, και έτσι να εμπλουτίσουν τις πληροφορίες που θα χρησιμοποιηθούν από τα αριθμητικά μοντέλα. Αυτός ο αλγόριθμος, που παρουσιάζεται στην παρούσα εργασία, εφαρμόζεται για πρώτη φορά σε δορυφορικά δεδομένα στην Ανατολική Μεσόγειο. Η παρούσα διατριβή επιχειρεί επιπλέον παρουσίαση των ιδιαίτερων συστατικών που περιγράφουν την ανάπτυξη, προσαρμογή και εφαρμογή ενός νέου αριθμητικού μοντέλου θαλάσσιας δυναμικής. Αρχικά παρουσιάζεται μια περιγραφή της γενικής κυκλοφορίας των ωκεανών, με αναφορά σε μηχανισμούς και συναφείς θεωρίες. Έμφαση δίνεται στην περιγραφή των θεμελιωδών φυσικών αρχών που διέπουν την ανεμογενή γενική θερμόαλη κυκλοφορία του πλανήτη. Παρουσιάζεται η φυσιογραφία της Μεσογείου και οι επικρατούσες απόψεις της υφιστάμενης κυκλοφορίας που επικρατεί. Τέλος, γίνεται αναφορά στην επίδραση διαφόρων μετεωρολογικών συνθηκών σε φαινόμενα μέσης και μικρότερης κλίμακας, με ιδιαίτερη αναφορά στην ανατολική Μεσόγειο και την ευρύτερη περιοχή της Λεβαντίνης, με επίκεντρο την περιοχή γύρω από την Κύπρο. Operational Oceanography is one of the most interesting branches of the science of Oceanography, relatively new and under rapid development during the last decades, with numerical modeling as one of the most important, fascinating and challenging products. A number of numerical models have been developed in order to anticipate the difficulties in gathering in-situ data and they are evolving continuously with the aid of the technological improvements in the fields of computers and of satellites. However, among the many required improvements there are two of great importance: • alternative numerical oceanographic, and specifically, marine dynamics simulations of the circulation of the eastern Mediterranean and particularly of the Levantine Sea. The expected advance with this kind of model is higher and more accurate details in the obtained results. While such a model has been adopted effectively in various places of the globe, it has never been applied over the specific area of Levantine so far. • data and numerical methods that should improve the satellite products, such sea surface height, temperature, salinity and chlorophyll-a. Application algorithms, like DINEOF, are used to eliminate missing data caused by cloud interference and thus to enrich the information that will drive the numerical models. This algorithm is applied for the first time to satellite data over the Eastern Mediterranean. This thesis attempts a presentation on the particular features that describe the devel- opment and implementation of a new marine dynamics numerical model. Initially there is a description of the general ocean circulation, with reference to mechanisms and related theories. Emphasis is given on the description of the basic physical principles and on the general wind generated and thermohaline circulation in the planet. A summary of the Mediterranean physiography and the prevailing opinions of the emerging circulation will be shown. Finally, reference is made to the effect of different meteorological conditions on submeso-scale phenomena, with particular reference to the eastern Mediterranean and Levantine region, focusing on the area around Cyprus. Completed

This paper describes the status of the potential of blue energy (BE) in the Mediterranean region, with focus on the region around Cyprus. Previous studies are reviewed, the main findings of the blue energy potential analysis performed in the frame of the MAESTRALE project are presented, and the most promising blue energy sources for the Mediterranean are highlighted. The findings of this report suggest that there is a good exploitability potential of different forms of BE in the Mediterranean. The most highlighted BE form for the Mediterranean region is offshore wind energy. This is also true for Cyprus, where marine biomass follows as the second most promising blue energy form. Marine thermal energy can also be used for heating and cooling. The main physical barrier for the implementation of BE projects is the bathymetry around the island.

ROMS-AGRIF (Regional Ocean Model System, Adaptative Mesh Refinement In Fortran) is a free surface numerical ocean model that solves the primitive equation with the Boussinesq approximation with respect to hydrostatic vertical momentum balance. The model uses terrain-following vertical coordinates that allow differential stretching, within orthogonal, curvilinear, spherical horizontal coordinates. Equations are solved with short time steps for barotropic dynamic (ssh and 2D momentum) and a much larger time steps for baroclinic dynamic (T, S, 3D momentum) in a split explicit scheme. It uses rotated tensors to reduce diapycnal mixing and improved calculation of horizontal pressure gradient, following surface and bottom KPP turbulent closure model, thus obtaining high advection scheme. It uses adaptive mixed radiations/nudging open boundary conditions and it uses parallelization by two …

The risk from oil spill pollution in the Mediterranean is high due to the heavy traffic of merchant vessels for transporting oil and to the increasing coastal and offshore platforms related to the hydrocarbon exploration. This is especially true in the Levantine Basin following the recent widening of the Suez canal and the increase of the offshore deep wells for the exploitation of oil and gas. In order to select the optimal response measurements to assist the response agencies, oil spill models are used to provide predictions of the drift and weathering of the oil slicks. The establishment of the operational ocean forecasting systems at regional level, within the Copernicus Marine Environmental Monitoring Service and in association with the national downscaled ones, provided the background for the implementation of a multi model integrated oil spill prediction system for the entire Mediterranean to support the maritime safety in near real time. This implementation was carried out in the frame of the medess4ms.eu project, which is dedicated to the response agencies of the riparian countries and to key users, such as REMPEC and EMSA. One of the well established oil spill prediction model in MEDESS4MS, is the MEDSLIK, used to provide bulletins and predictions within few hours from the time of receipt of the oil leakage or warnings from SAR images detecting possible oil slicks, in the frame of other projects too, such as EMODNET MedSea check point and RAOP–Med. In addition to the operational use of the oil spill systems, long lasting simulations were also carried out to examine the seasonal and inter-annual likely oil spill trajectories and the likelihood the oil will impact the coastal zones in the Eastern Mediterranean Levantine Basin., peer-reviewed

Using Data INterpolating Empirical Orthogonal Functions (DINEOF) Algorithm for filling the missing data of AVHHR satellite images. Andreas Nikolaidis(*,a,b), Stavros Stylianou(b,Georgios Georgiou(b), Diofantos Hajimitsis(a) and Evangelos Akylas(a) a. Department of Civil Engineering and Geomatics, Cyprus University of Technology, 30 Archbishop Kyprianou Str., 3036, Limassol, Cyprus b. University of Cyprus, PO BOX 20537, 1678, Nicosia, Cyprus, Oceanography Centre KEY WORDS: Remote Sensing, Cyprus, Mediterranean, DINEOF, ArcGIS, data reconstruction. During the last decade, Rixen (2005) and Alvera-Azkarate (2010) presented the DINEOF (Data Interpolating Empirical Orthogonal Functions) method, a EOF-based technique to reconstruct missing data in satellite images. The application of DINEOF method, proved to provide relative success in various experimental trials (Wang and Liu, 2013; Nikolaidis et al., 2013;2014), and tends to be an effective and computationally affordable solution, on the problem of data reconstruction, for missing data from geophysical fields, such as chlorophyll-a, sea surface temperatures or salinities and geophysical fields derived from satellite data. Implementation of this method in a GIS system will provide with a more complete, integrated approach, permitting the expansion of the applicability over various aspects. This may be especially useful in studies where various data of different kind, have to be examined. For this purpose, in this study we have implemented and present a new GIS toolbox that aims to automate the usage of the algorithm, incorporating the DINEOF codes provided by GHER (GeoHydrodynamics and Environment Research Group of University of Liege) into the ArcGIS®. ArcGIS® is a well known standard on Geographical Information Systems, used over the years for various remote sensing procedures, in sea and land environment alike. A case-study of filling the chlorophyll-a missing data in the Mediterranean Sea area, for a 18-day period is analyzed, as an example for the effectiveness and simplicity of the usage of this toolbox. The specific study focuses to chlorophyll-a MODIS satellite data collected by CNR-ISAC (Italian National Research Council, Institute of Atmospheric Sciences and Climate), from the respective products of MyOcean2® organization, that provides free online access to Level 3, with 1 km resolution. In particular, all the daily products with an initial level of only 27% data coverage were successfully reconstructed.

ArcGIS® is a well known standard on Geographical Information Systems, used over the years for various remote sensing procedures. During the last decade, Rixen (2003) and Azcarate (2011) presented the DINEOF (Data Interpolating Empirical Orthogonal Functions) method, a EOF-based technique to reconstruct missing data in satellite images. The recent results of the DINEOF method in various experimental trials (Wang and Liu, 2013; Nikolaidis et al., 2013;2014) showed that this computationally affordable method leads to effective reconstruction of missing data from geophysical fields, such as chlorophyll-a, sea surface temperatures or salinities and geophysical fields derived from satellite data. Implementing the method in a GIS system will lead to a complete and integrated approach, enhancing its applicability. The inclusion of statistical tools within the GIS, will multiply the effectiveness, providing interoperability with other sources in the same application environment. This may be especially useful in studies where various different kinds of data are of interest. For this purpose, in this study we have implemented a new GIS toolbox that aims at automating the usage of the algorithm, incorporating the DINEOF codes provided by GHER (GeoHydrodynamics and Environment Research Group of University of Liege) into the ArcGIS®. A case-study of filling the chlorophyll-a missing data in the Mediterranean Sea area, for a 18-day period is analyzed, as an example for the effectiveness and simplicity of the toolbox. More specifically, we focus on chlorophyll-a MODIS satellite data collected by CNR-ISAC (Italian National Research Council, Institute of Atmospheric Sciences and Climate), from the respective products of MyOcean2® organization, that provides free online access to Level 3, with 1 km resolution. All the daily products with an initial level of only 27% data coverage were successfully reconstructed over the Mediterranean Sea.

The article of record as published may be found at http://dx.doi.org/10.1016/j.renene.2014.03.0510960-1481 The main characteristics of wave energy potential over Eastern Mediterranean Levantine Basin, an area of increased interest for energy resources exploration/exploitation, is presented in this work. In particular, an integrated hindcasting platform consisting of state-of-the-art wind-wave numerical models at a very high resolution mode is utilized to produce a 10-year database for the wave energy potential in the Levantine Basin and the environmental parameters that affect it. The numerical results are analyzed by means of a variety of statistical measures focusing, apart from the conventional statistical information, on the potential impact of extreme values and the probability distribution functions that optimally describe the spatial and temporal distribution of the wave power potential over the Eastern Mediterranean sea area. The regions with increased values of wave energy potential are mainly the western and southern coastlines of Cyprus island, the sea area of Lebanon and Israel, as well as the coastline of Egypt especially around Alexandria. Over these areas, relatively low but also stable, and hence exploitable, wave energy potential is revealed. However, non-trivial impact of infrequent values is also recorded. E-WAVE project (Project Protocol Number TEXNOLOGIA/ENEPG/0609(BIE)/01) Research Promotion Foundation of the Republic of Cyprus European Regional Development Fund E-WAVE project (Project Protocol Number TEXNOLOGIA/ENEPG/0609(BIE)/01) Research Promotion Foundation of the Republic of Cyprus European Regional Development Fund

Data Interpolating Empirical Orthogonal Functions (DINEOF) is a special technique which is based on Empirical Orthogonal Functions (EOF) in order to reconstruct missing data from satellite images. It is an innovative method, especially useful for filling in missing data from geophysical fields. Interesting examples could be clouds in sea-surface temperature (SST). Past studies have shown that filtering the temporal covariance matrix allows to reduce spurious variability and therefore a more realistic data reconstruction can be obtained. There is also provision in the estimation of the error covariance of the reconstruction of the data. Moreover, the error fields can be obtained with some calculation rearrangement. Error fields reflect the data-coverage structure and furthermore the covariance of the physical fields. Successful experiments on the Western Mediterranean encouraged the extension of the application of the method eastwards using similar experimental implementation. The present study summarizes the experimental work done, the implementation of the method and its ability in reconstructing the sea-surface temperature field over the Eastern Mediterranean basin, and specifically over Levantine sea and Cyprus.

Summarization: Following the previous paper,.the authors enter in the detail of production and marketing of olive oil and wine products. A new methodology is presented in order to assess the potential impaocftimproved commercialisatio Παρουσιάστηκε στο: Options Méditterrannéennes