33 Works

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...

Sharing adaptation knowledge across Europe: Evidence for the evaluation of Climate-ADAPT

ETC-CCA 2018, Kati Mattern, Valentina Giannini, Clare Downing, Ana Gomes, Emiliano Ramieri, Eleni Karali, Tiago Capela Lourenço, Fokke De Jong, Ingrid Coninx, Serena Marras, Silvia Medri & Aleksandra Kazmierczak

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...

Global Soil Organic Carbon Database (at 30 arcsec)

John Latham, Freddy Nachergaele, Henry Matieu, Rodrigo Vargas, Sergio Noce, Monia Santini, Antonio Bombelli & Tommaso Chiti
The most of the global organic carbon is stored in the forest soil. The large quantity of CO2 emitted from soil is a consequence of land use change, both through human activities (e.g. agriculture) or natural hazards (e.g. flooding, landslides, erosion). A net carbon loss from soils adds to the increase in the atmospheric CO2 concentration, probably leading to higher global temperatures. On the other hand, a net soil CO2 sequestration could help to mitigate...

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 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 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.

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 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...

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).

European Earth System Modelling for Climate Services - Policy Brief n°1

Mauro Buonocore, Silvio Gualdi & Ralf Döscher
Earth System Modelling and Climate Services, Earth System Modelling for Climate Projections, Climate Predictions and Future Challenges, The Downscaling Effort: Climate Modelling Goes Regional, Refinement Techniques, From Science to Society.

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 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.

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.

Annex 3 to the Second DAR: Statistics of Availability indicators

Vladyslav Lyubartsev, Giuseppe Manzella, Nadia Pinardi & Simona Simoncelli
The Annex 3 is providing the analysis of availability indicators for all P02 characteristics by challenge. This assessment is done on the entire Mediterranean Sea metadatabase, not only for the selected input data sets chosen to make the Challenge products. The input data sources selected for each P02 characteristics in the Challenges are different and can have different availability indicators.

EMODnet MedSea CheckPoint Challenge 2 (Marine Protected Areas) Report

Sofia Reizopoulou, Chara Kyriakidou, Isidora Katara, Isidora Katara, Marianna Giannoulaki & Simona Simoncelli
This report presents an overview of the Targeted Products of the Challenge 2 (Marine Protected Areas). It describes the methodology used to develop the products and attempts to answer some of the primary questions regarding the adequacy and representativity of the Mediterranean Marine Protected Areas-Fisheries Restricted Areas network.

Social vulnerability to climate change in European cities - state of play in policy and practice

Margaretha Breil, Clare Downing, Aleksandra Kazmierczak, Kirsi Mäkinen & Linda Romanovska

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 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...

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).

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 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.

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.

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.

Annex 5 to the Second DAR: Expert evaluation of Targeted Products

Simona Simoncelli, George Kallos, Sofia Reizopoulou, Lluis Gomez-Pujol, Gianna Fabi, Antonio Cruzado & Dora Kouvada
Annex 5 presents the expert evaluation of Targeted Product quality and gaps in the input data sets.

Registration Year

  • 2017
    26
  • 2018
    4
  • 2019
    3

Resource Types

  • Text
    22
  • Dataset
    10
  • Other
    1

Data Centers

  • CMCC Foundation - Ocean Predictions and Applications Division
    28
  • Fondazione CMCC - Centro Euro-Mediterraneo sui Cambiamenti Climatici
    5