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| 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 |
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| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00506/61815/65823.pdf |
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| Myroshnychenko, Volodymyr; Simoncelli, Simona; Troupin, Charles. |
| The SDC_BLS_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for the Black Sea including seasonal and monthly fields covering 3 time spans: 1955-1994, 1995-2017, and 1955-2017 and seasonal fields for 6 decades starting from 1955 to 2014. The climatological fields were computed from the merged Black Sea dataset that combines data extracted from 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database 2018, and 3) 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 |
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| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00506/61812/65822.pdf |
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| Myroshnychenko, Volodymyr; Troupin, Charles; Simoncelli, Simona. |
| The Black Sea gridded monthly climatology for cold intermediate layer (CIL) cold content (CCC) (1/8°, 12 months) based on the collection of temperature and salinity profiles spanning 35 years (1955–1999).The CCC climatological fields were computed from a merged Black Sea dataset that combines data extracted from 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.2. |
| Tipo: Text |
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| Ano: 2021 |
URL: https://archimer.ifremer.fr/doc/00678/79042/81488.pdf |
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| Myroshnychenko, Volodymyr; Troupin, Charles; Simoncelli, Simona. |
| Black Sea gridded decadal seasonal climatology for cold intermediate layer (CIL) cold content (CCC) (1/8°, 6 decades, 4 seasons) based on the collection of temperature and salinity profiles spanning 60 years (1955–2014).The CCC climatological fields were computed from the merged Black Sea dataset that combines data extracted from 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.2. |
| Tipo: Text |
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| Ano: 2021 |
URL: https://archimer.ifremer.fr/doc/00678/79044/81491.pdf |
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| Troupin, Charles; Scory, Serge. |
| The SDC_NS_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for the North Sea including annual, seasonal and monthly fields covering the time periods 1955-2014 and seasonal fields for 6 decades starting from 1955 to 2014 (1955-1964, 1965-1974, 1975-1984, 1985-1994, 1995-2004, 2005-2014). The climatological fields were computed with a dataset that combines data extracted from 2 major sources: 1) the SeaDataNet infrastructure and 2) the World Ocean Database 2018. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.3.1. |
| Tipo: Text |
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| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00684/79586/82272.pdf |
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| 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... |
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| Ano: 2010 |
URL: http://archimer.ifremer.fr/doc/00323/43447/42821.pdf |
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| 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 |
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| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00663/77514/79302.pdf |
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| Myroshnychenko, Volodymyr; Troupin, Charles; Simoncelli, Simona. |
| Black Sea gridded decadal annual climatology for cold intermediate layer (CIL) cold content (CCC) (1/8°, 56 sliding decades) based on the collection of temperature and salinity profiles spanning 65 years (1955–2019).The CCC climatological fields were computed from the merged Black Sea dataset that combines data extracted from 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.2. |
| Tipo: Text |
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| Ano: 2021 |
URL: https://archimer.ifremer.fr/doc/00678/79047/81495.pdf |
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| 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... |
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| Ano: 2021 |
URL: https://archimer.ifremer.fr/doc/00675/78713/80905.pdf |
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