|
|
|
|
|
| De Mey-frémaux, Pierre; Ayoub, Nadia; Barth, Alexander; Brewin, Robert; Charria, Guillaume; Campuzano, Francisco; Ciavatta, Stefano; Cirano, Mauro; Edwards, Christopher A.; Federico, Ivan; Gao, Shan; Garcia Hermosa, Isabel; Garcia Sotillo, Marcos; Hewitt, Helene; Hole, Lars Robert; Holt, Jason; King, Robert; Kourafalou, Villy; Lu, Youyu; Mourre, Baptiste; Pascual, Ananda; Staneva, Joanna; Stanev, Emil V.; Wang, Hui; Zhu, Xueming. |
| Integration of observations of the coastal ocean continuum, from regional oceans to shelf seas and estuaries/deltas with models, can substantially increase the value of observations and enable a wealth of applications. In particular, models can play a critical role at connecting sparse observations, synthesizing them, and assisting the design of observational networks; in turn, whenever available, observations can guide coastal model development. Coastal observations should sample the two-way interactions between nearshore, estuarine and shelf processes and open ocean processes, while accounting for the different pace of circulation drivers, such as the fast atmospheric, hydrological and tidal processes and the slower general ocean circulation and climate... |
| Tipo: Text |
Palavras-chave: Coastal; Ocean; Observations; Models; Synergy; Synthesis; Assimilation; Array design. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00508/61961/66050.pdf |
| |
|
|
| Bäck, Örjan; Simoncelli, Simona; Barth, Alexander; Troupin, Charles. |
| The SDC_BAL_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for the Baltic Sea including seasonal and monthly fields for the 1955-2014 period and seasonal and monthly fields for 6 decades starting from 1955 and ending in 2014. The climatological fields were computed from merged Baltic Sea data that combines data extracted from the 2 major sources: 1) SeaDataNet infrastructure and 2) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.3.1. |
| Tipo: Text |
|
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00506/61815/65823.pdf |
| |
|
|
| Simoncelli, Simona; Oliveri, Paolo; Mattia, Gelsomina; Myroshnychenko, Volodymyr; Barth, Alexander; Troupin, Charles. |
| The SDC_MED_CLIM_TS_V2 product contains Temperature and Salinity climatological fields for the Mediterranean Sea. Monthly and seasonal fields are released for periods 1955-2018, 1955-1984 and 1985-2018, while seasonal fields are provided for 6 decades: 1955-1964, 1965-1974, 1985-1994, 1995-2004, 2005-2018. The climatological fields were obtained from an integrated Mediterranean Sea dataset which combines data extracted from SeaDataNet infrastructure and the Coriolis Ocean Dataset for Reanalysis (CORA 5.2). The analysis was performed with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.1. |
| Tipo: Text |
|
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00663/77514/79302.pdf |
| |
|
|
| Coatanoan, Christine; Leroy, Delphine; Simoncelli, Simona; Barth, Alexander. |
| SeaDataCloud Temperature and Salinity Climatologies have been processed from the North Atlantic Ocean historical Data Collection including temperature and salinity in situ data of water column in the North Atlantic Ocean (from 10°N to 62°N for the east part and including the Labrador Sea for the west part) for period 1900-2015. Several versions are proposed in seasonal and monthly format for the period 1955-2015 and six decadal periods (1955-1964/1965-1974/1975-1984/1985-1994/1995-2004/2005-2015). A subset of the CORA dataset (Szekely et al., 2016) has been integrated to the SeaDataCloud aggregated dataset as external data-source to improve the spatial and temporal coverage. |
| Tipo: Text |
|
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00506/61810/65819.pdf |
| |
|
|
| Simoncelli, Simona; Coatanoan, Christine; Myroshnychenko, Volodymyr; Sagen, Helge; Bäck, Örjan; Scory, Serge; Grandi, Alessandro; Barth, Alexander; Fichaut, Michele. |
| This document describes the temperature and salinity climatologies computed from the first version of the SeaDataNet aggregated data set. The climatologies are computed for the 6 sea basins: Mediterranean Sea, Black Sea, Arctic Sea, Baltic Sea, North Sea and North Atlantic Ocean. |
| Tipo: Text |
|
| Ano: 2015 |
URL: http://archimer.ifremer.fr/doc/00392/50381/51091.pdf |
| |
|
|
| Troupin, Charles; Ouberdous, Mohamed; Barth, Alexander; Bassompierre, Marc; Coatanoan, Christine; Grandi, Alessandro; Lind Johansen, Sigrid; Ostensen, Oivind; Scory, Serge; Tonani, Marina; Toussaint, Marie-eve; Tronconi, Cristina; Beckers, Jean-marie. |
| In the frame of the SeaDataNet project, several regional climatologies for the temperature and salinity are being developed by different groups. The data used for these climatologies are distributed by the 40 SeaDataNet data centers. Such climatologies have several uses: 1. the detection of outliers by comparison of the in situ data with the climatological fields, 2. the the optimization of locations of new observations, 3. the initialization of numerical hydrodynamic models. 4. definition of a reference state to identify anomalies and to detect long-term climatic trends Diva (Data Interpolating Variational Analysis) software is adapted to each region by taking into account the geometrical characteristics (coastlines, bathymetry) and the distribution of... |
| Tipo: Text |
|
| Ano: 2010 |
URL: http://archimer.ifremer.fr/doc/00323/43447/42821.pdf |
| |
|
|
| Barth, Alexander; Troupin, Charles; Reyes, Emma; Alvera-azcarate, Aida; Beckers, Jean-marie; Tintoré, Joaquin. |
| In this document we describe a new application of DIVAnd (Data-Interpolating Variational Analysis, in n-dimensions) for high-frequency (HF) radar currents. DIVAnd is a tool to interpolate observations on a regular grid using the variational inverse method. We have extended DIVAnd to include additional dynamic constraints relevant to surface currents, including imposing a zero normal velocity at the coastline, imposing a low horizontal divergence of the surface currents, temporal coherence and simplified dynamics based on the Coriolis force and the possibility of including a surface pressure gradient. The impact of these constraints is evaluated by cross-validation using the HF radar surface current observations in the Ibiza Channel from the Balearic... |
| Tipo: Text |
|
| Ano: 2021 |
URL: https://archimer.ifremer.fr/doc/00675/78713/80905.pdf |
| |
|
|
| Le Moigne, Morgan; Daniel, Jeremy; Quimbert, Erwann; Chaves Montero, Maria; Molina Jack, Eugenia; Barth, Alexander; Vinci, Matteo; Holdworth, Neil; Giorgetti, Alessandra; Galgani, Francois. |
| EMODnet Chemistry included in its last phase, marine litter. Since the beginning of 2018, data of beach litter, seafloor litter and floating micro litter have been gathered and processed for creating the EMODnet Chemistry Marine Litter Database (MLDB from now). The litter data have been ingested in the database using specific data formats developed by the project with the base of existing formats and reporting practices. The EMODnet litter formats are described in guidelines available on the EMODnet Chemistry website. In addition to data collation, one of the objectives of EMODnet Chemistry is to offer marine litter products that allow the visualization of the data gathered in the EMODnet Chemistry database. The EMODnet Marine Litter Visualization Products... |
| Tipo: Text |
|
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00491/60259/63663.pdf |
| |
|
|
|
