28 Works

Mediterranean Sea Reanalysis (CMEMS MED-Biogeochemistry 1999-2015)

Anna Teruzzi, Giorgio Bolzon, Gianpiero Cossarini, Paolo Lazzari, Stefano Salon, Alessandro Crise & Cosimo Solidoro
The CMEMS Mediterranean Sea Biogeochemistry reanalysis dataset consists of monthly 3D fields of chlorophyll, net primary production, nitrate, phosphate, dissolved oxygen, carbon biomass of phytoplankton, pH and pCO2 for the period Jan1999 - Dec2015. The dataset is produced by the coupled transport-biogeochemical model OGSTM-BFM and the variational data assimilation scheme 3DVARBIO for surface chlorophyll. The model has a 1/16˚ (ca. 6-7 km) horizontal grid resolution and 72 unevenly spaced vertical levels.

Mediterranean Sea Analysis and Forecast (CMEMS MED-Biogeochemistry 2013-2017)

Giorgio Bolzon, Gianpiero Cossarini, Paolo Lazzari, Stefano Salon, Anna Teruzzi, Alessandro Crise & Cosimo Solidoro
The CMEMS Mediterranean Sea Biogeochemistry Analysis and Forecast dataset consists of daily 3D fields of chlorophyll, net primary production, nitrate, phosphate, dissolved oxygen, carbon biomass of phytoplankton, pH and pCO2 for the period 2013-2017. The dataset is produced by the coupled transport-biogeochemical model OGSTM-BFM and the variational data assimilation scheme 3DVARBIO for surface chlorophyll. The model has a 1/16˚ (ca. 6-7 km) horizontal grid resolution and 72 unevenly spaced vertical levels.

Annex 4 to the Second DAR: Statistics of Appropriateness indicators

Giuseppe Manzella, Nadia Pinardi, Vladyslav Lyubartsev & Simona Simoncelli
Annex 4 presents the details of the appropriateness indicators described in Annex 2. The indicators will be analysed as a function of Challenges and P02 characteristic categories.

Mediterranean Sea RR 1955-2015

Claudia Fratianni, Simona Simoncelli, Nadia Pinardi, Annalisa Cherchi, Alessandro Grandi & Srdjan Dobricic
The 60 years reanalysis has been produced by combining, every day, the output of the ocean model, forced by atmospheric surface fluxes and relaxed to SST, and quality controlled ocean observations. The hydrodynamics are supplied by the Nucleos for European Modelling of the Ocean (NEMO), with a variational data assimilation schema (OceanVar) thanks to which salinity and temperature profiles and satellite Sea Level Anomaly along track data are jointly assimilated to estimate the initial condition...

EMODnet MedSea CheckPoint First Data Adequacy Report

Giuseppe Manzella, Nadia Pinardi, Antonio Guarnieri, Michela De Dominicis, Eric Moussat, Erwann Quimbert, Julien Meillon, Frederique Blanc, Vincent Claverie, George Kallos, Chara Kyriakidou, Lluis Gomez-Pujol, Giuseppe Scarcella, Antonio Cruzado & Federico Falcini
EMODnet MedSea CheckPoint aims to document the quality assessment of the existing monitoring system at the sea basin level, by developing fitness for use indicators to show the appropriateness and availability of monitoring data for the production of Challenge targeted products. There are seven Challenges: Wind Farm Siting (CH1), Marine Protected Areas (CH2), Oil spill Platform Leaks (CH3), Climate and Coastal Protection (CH4), Fisheries (CH5), Marine Environment (CH6) and Rivers (CH7). The assessment will help...

EMODnet MedSea CheckPoint Challenge 3 (Oil Platform Leaks) Report

Simona Simoncelli, George Zodiatis & Nadia Pinardi
This document illustrates the EMODnet Oil Platform Leaks (OPL) Bulletin, which is the Targeted Product of Challenge 3. The EMODnet OPL Bulletin simulates the fate and transport of oil leaks from platforms. The oil movement from the platform is simulated for a week after the release and the bulletin can be updated at the customer’s request. Possible impacts on the coasts are also considered. The EMODnet OPL Bulletin is issued every time a request arrives...

EMODnet MedSea CheckPoint Challenge 7 (River Inputs) Report

Nikos Skoulikidis, Dora Kouvada, Nektarios Kalaitzakis, Federico Falcini & Simona Simoncelli
This report provides an overview of the targeted products of Challenge 7 (River Inputs), and describes the method applied to produce them. It also attempts to answer some primary questions about the "adequacy" of the input data.

EMODnet MedSea CheckPoint Challenge 1 (Wind Farm Siting) Report

George Kallos, George Galanis, Platon Patlakas, Christina Kalogeri, Jean-Francois Filipot, Rui Duarte & Simona Simoncelli
The primary aim of the wind farm siting challenge is to assess whether the currently available data on the Mediterranean Sea are appropriate for the preliminary assessment required to identify potential new farm sites. A variety of factors are considered to be important for wind farm siting. These factors include the natural resources data that can be used to define the energy potential of the area and the local climatic characteristics, and the intense anthropogenic...

Mediterranean Sea Analysis and Forecast (CMEMS MED-Currents 2013-2017)

Emanuela Clementi, Jenny Pistoia, Claudia Fratianni, Damiano Delrosso, Alessandro Grandi, Massimiliano Drudi, Giovanni Coppini, Rita Lecci & Nadia Pinardi
The CMEMS Mediterranean Sea Analysis and Forecast system comprises an Ocean General Circulation Model based on NEMO v3.4 coupled with a Wave Model WW3 v3.14 and a variational data assimilation scheme (OceanVar) for temperature and salinity vertical profiles and satellite SLA along track data. The model has a 1/16˚ (ca. 6-7 km) horizontal grid resolution and 72 unevenly spaced vertical levels. It spans the time period 2013-2017 and it is daily updated.

EMODnet MedSea CheckPoint Literature Survey

Eric Moussat, Nadia Pinardi, Giuseppe Manzella, Emanuela Clementi, Joaquin Tintore, Lluis Gomez-Pujol, Gianna Fabi, Giuseppe Scarcella, Stefania Sparnocchia, Fabio Raicich, Federico Falcini & Sofia Reizopoulou
The EMODnet Mediterranean Sea (MedSea) Checkpoint Literature Survey was carried out from January to September 2014 in order to answer the following questions: is there an overview of data appropriateness and availability? Can any statement of fitness for purpose be made? This Literature Survey summarizes the first substantial attempt to classify the input data sets existing at the Mediterranean Sea level and it explains a methodological framework for the nomenclature, metadata collection and the result...

Mediterranean Sea biogeochemical Analysis and Forecast (CMEMS MED-Biogeochemistry 2017-2018)

Giorgio Bolzon, Gianpiero Cossarini, Paolo Lazzari, Stefano Salon, Anna Teruzzi, Laura Feudale, Alessandro Crise & Cosimo Solidoro
The CMEMS Mediterranean Sea Biogeochemistry Analysis and Forecast dataset consists of daily 3D fields of chlorophyll, net primary production, nitrate, phosphate, dissolved oxygen, carbon biomass of phytoplankton, Dissolved Inorganic Matter, pH and pCO2 and air-sea CO2 flux for the period 2017-2019. The dataset is produced by the coupled transport-biogeochemical model OGSTM-BFM and the variational data assimilation scheme 3DVARBIO for surface chlorophyll. The model has a 1/24˚ (ca. 4-5 km) horizontal grid resolution and 121 unevenly...

Annex 2 to the Literature Survey

Eric Moussat
This annex gives the definition of the SeaDataNet categories of characteristics in use in the First Data Adequacy Report (DAR1).

EMODnet MedSea CheckPoint Second Data Adequacy Report

Nadia Pinardi, Simona Simoncelli, Emanuela Clementi, Giuseppe Manzella, Eric Moussat, Erwann Quimbert, Frederique Blanc, Guillaume Valladeau, George Galanis, George Kallos, Platon Patlakas, Sofia Reizopoulou, Chara Kyriakidou, Isidora Katara, Dora Kouvada, Nikos Skoulikidis, Lluis Gomez-Pujol, Joan Vallespir, David March, Joaquin Tintore, Gianna Fabi, Giuseppe Scarcella, Anna Nora Tassetti, Fabio Raicich, Antonio Cruzado … & Stavros Stylianou
The second Mediterranean Data Adequacy Report (DAR) is completing the development of concepts and methodologies initiated in the Literature Review and in the first Data Adequacy Report. The aim of this DAR is to document the reliability and utility of the existing monitoring system at the sea basin level and it identifies the gaps, prioritizing them. This DAR describes the final methodological approach for the MedSea Checkpoint based upon ISO and INSPIRE principles and the...

EMODnet MedSea CheckPoint Challenge 4 (Climate and Coastal Protection) Report

Lluis Gomez-Pujol, Joan Vallespir, David March, Joaquin Tintore, Rita Lecci, Antonio Bonaduce, Fabio Raicich, Guillaume Valladeau & Simona Simoncelli
The document summarizes the tasks developed by the Climate and Coast Protection challenge as part of the MedSea Checkpoint Project. The report describes the methods developed for generating each targeted product requested by the contract tender. It specifies the main characteristics of the datasets, the main gaps in them and the problems associated with their use.

Annex 3 to the Literature Survey

Eric Moussat
This annex gives the list of the upstream data sources identified by the seven challenges of the MEDSEA Checkpoint project organised by environmental matrix, by group of SeaDataNet categories of characteristics (P03 list), by categories of characteristics (P02 list) and by characteristic (with the corresponding SDN P01 code and definition when available).

EMODnet MedSea CheckPoint Challenge 6 (Marine Environment) Report

Antonio Cruzado, Nixon Bahamon, Federico Falcini, Michela Sammartino & Simona Simoncelli
This report provides an overview of the targeted products of Challenge 6 (Marine Environment) and describes the methodology we used to produce them. It also attempts to answer some primary “adequacy” questions.

Annex 1 to the Second DAR: Metadatabase contents and statistics

Vladyslav Lyubartsev, Simona Simoncelli, Giuseppe Manzella, Eric Moussat, Erwann Quimbert & Nadia Pinardi
The Mediterranean CheckPoint metadatabase presently contains information about 47 different characteristic categories(P02 vocabulary), 23 P03 group of characteristics, 266 data sets descriptors, covering16 INSPIRE themes (over a total of 34) and 6 environmental matrices. The input data sets metadatabase is accessible at: http://www.emodnet-mediterranean.eu/browser/

Mediterranean Sea physics Analysis and Forecast (CMEMS MED-Currents 2015-2017)

Emanuela Clementi, Jenny Pistoia, Damiano Delrosso, Gelsomina Mattia, Claudia Fratianni, Andrea Storto, Massimiliano Drudi, Alessandro Grandi, Stefania Ciliberti, Benedicte Lemieux-Dudon, Elisa Fenu, Simona Simoncelli, Davide Padeletti, Pierluigi Di Pietro, Rita Lecci, Giovanni Coppini & Nadia Pinardi
The CMEMS Mediterranean Sea Physics Analysis and Forecast system comprises an Ocean General Circulation Model based on NEMO v3.6 and a variational data assimilation scheme (OceanVar) for temperature and salinity vertical profiles and satellite SLA along track data. The model has a 1/24˚uniform horizontal grid resolution and 141 unevenly spaced vertical levels. It spans the time period 2015-2017 and it is daily updated.

Annex 2 to the Second DAR: Appropriateness Indicator Definitions

Giuseppe Manzella, Nadia Pinardi, Eric Moussat & Simona Simoncelli
This Annex presents the Quality Elements (QE) composing the appropriateness indicators and the indicator of “Fitness for Use” for the input data sets. After a list of Targeted products is presented, the appropriateness methodology is introduced followed by the description of the chosen ISO Quality Elements.

Mediterranean Sea Analysis and Forecast (CMEMS MED-Currents 2016-2019)

Emanuela Clementi, Jenny Pistoia, Romain Escudier, Damiano Delrosso, Massimiliano Drudi, Alessandro Grandi, Rita Lecci, Sergio Cretí, Stefania Ciliberti, Giovanni Coppini, Simona Masina & Nadia Pinardi
The CMEMS Mediterranean Sea Analysis and Forecast system comprises a coupled wave-current system composed by an Ocean General Circulation Model based on NEMO v3.6 and a Wave Model based on WW3 v3.14 with a variational data assimilation scheme (OceanVar) for temperature and salinity vertical profiles and satellite SLA along track data. The model has a 1/24˚uniform horizontal grid resolution and 141 unevenly spaced vertical levels. It spans the time period 2016-2019 and it is operationally...

Mediterranean Sea physical reanalysis (MEDREA 1987-2015)

Simona Simoncelli, Claudia Fratianni, Nadia Pinardi, Alessandro Grandi, Massimiliano Drudi, Paolo Oddo & Srdjan Dobricic
The MyOcean-CMEMS Mediterranean Sea reanalysis (MED REA) system comprises an Ocean General Circulation Model based on NEMO 3.2-3.4 code and a variational data assimilation scheme (OceanVar) for temperature and salinity vertical profiles and satellite SLA along track data. The model horizontal grid resolution is 1/16˚ (ca. 6-7 km) and the unevenly spaced vertical levels are 72. It spans the time period 1987-2015 and it is yearly updated.

Annex 1 to the Literature Survey

Eric Moussat
This document review the literature and describes the elements used for the classification of the upstream data needed by the challenges and the template 2 to be used by the challenge partners to collect them.

Mediterranean Sea Waves Analysis and Forecast (CMEMS MED-Waves 2017-2019)

Gerasimos Korres, Michalis Ravdas & Anna Zacharioudaki
The Mediterranean Sea Waves Analysis and Forecast system is composed by hourly wave parameters at 1/24º horizontal resolution covering the Mediterranean Sea and extending up to -18.125W into the Atlantic Ocean. Med-Waves modelling system is based on WAM Cycle 4.6.2 wave model and resolves the prognostic part of the wave spectrum with 24 directional and 32 logarithmically distributed frequency bins, while model solutions are corrected by an optimal interpolation data assimilation scheme of along track...

EMODnet MedSea CheckPoint Challenge 5 (Fisheries Management) Report

Gianna Fabi, Giuseppe Scarcella, Anna Nora Tassetti, Carmen Ferra', Giulio Pellini, Antonello Sala, Emilio Notti, Fabrizio Moro, Jacopo Pulcinella & Simona Simoncelli
The targeted products were divided in two main tasks, based on the Challenge 5 Objectives: TASK 1) fishery datasets of fish landings, discard and by-catch (ETP species) for assessing the quality, extracting the synergies and identifying the gaps in the fishery data collection systems in the Mediterranean Sea; TASK 2) maps showing the extent of the trawling fishing grounds in order to identify the areas that have been most disturbed by bottom trawling and the...

Mediterranean Sea Waves Hindcast (CMEMS MED-Waves 2006-2017)

Gerasimos Korres, Michalis Ravdas & Anna Zacharioudaki
MEDSEA_HINDCAST_WAV_006_012 is the hindcast product of the Mediterranean Sea Waves forecasting system (WAM 4.5.4) covering the period Feb 2006 - Dec 2017, yearly updated, composed by hourly wave parameters at 1/24° horizontal resolution covering the Mediterranean Sea and extending up to -18.125W into the Atlantic Ocean.

Registration Year

  • 2017
    24
  • 2018
    1
  • 2019
    3

Resource Types

  • Text
    18
  • Dataset
    10