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...

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...

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...

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...

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...

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.

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...

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.

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.

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 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.

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

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 5 presents the expert evaluation of Targeted Product quality and gaps in the input data sets.

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.

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...

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.

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.

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 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...

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...

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.

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...