Resultados totales (Incluyendo duplicados): 3
Encontrada(s) 1 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/353811
Dataset. 2018

THE 2014 GREENLAND-PORTUGAL GEOVIDE WATER MASSES DATA (GO-SHIP A25 AND GEOTRACES GA01)

  • García-Ibáñez, Maribel I.
  • Pérez, Fiz F.
  • Pascale, Lherminier
  • Zunino-Rodríguez, Patricia
  • Herlé , Mercier
  • Paul, Tréguer
The GEOVIDE cruise was carried out coast to coast between Portugal and Newfoundland via the south tip of Greenland, following the OVIDE line in the eastern part and crossing the Labrador Sea in the western part. The classical hydrographic rosette was cast 163 times at 78 different geographical positions called stations. While the CTD-O2 probe acquired continuous profiles of the “physical” variables (pressure, temperature, salinity and dissolved oxygen), 22 Niskin bottles were closed at different levels during the upcast to provide samples for biogeochemical analysis. After calibration, we find precisions for pressure, temperature, salinity and dissolved oxygen that fit the GO-SHIP international quality requirements. In parallel, but not simultaneously, a trace-metal rosette (TMR) was cast 53 times, also acquiring profiles of physical variables, and equipped with 24 Go-Flo bottles adapted for the sampling of trace metals. Depending on the number of operations, stations were identified as “Short” (one single CTD cast), “Large” (3 CTD casts), “XLarge” (up to 6) and “Super” (up to 11). All along the track of the ship, current magnitude and direction was measured by Ship Acoustic Doppler Current Profilers, down to 1000m depth. This dataset reports for the water mass proportions (from 0 to 1, i.e., from 0 to 100%) for the classical rosette for the following water masses: East North Atlantic Central Water of 16ºC (ENACW16) and of 12 ºC (ENACW12); Subpolar Mode Water of 8ºC (SPMW8), of 7ºC (SPMW7) and of the Irminger Sea (IrSPMW); Labrador Sea Water (LSW); Subarctic Intermediate Water of 6ºC (SAIW6) and of 4ºC (SAIW4); Mediterranean Water (MW); Iceland–Scotland Overflow Water (ISOW); Denmark Strait Overflow Water (DSOW); Polar Intermediate Water (PIW); and North-East Atlantic Deep Water lower (NEADWL). The dataset also contains the changes in oxygen due to the remineralisation of organic matter (DO2bio; in µmol kg-1)., No

Proyecto: //
DOI: http://hdl.handle.net/10261/353811
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/353811
HANDLE: http://hdl.handle.net/10261/353811
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/353811
PMID: http://hdl.handle.net/10261/353811
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/353811
Ver en: http://hdl.handle.net/10261/353811
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/353811

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169529
Dataset. 2018

A GLOBAL MONTHLY CLIMATOLOGY OF TOTAL ALKALINITY: A NEURAL NETWORK APPROACH (DISCUSSIONS VERSION) [DATASET]

  • Broullón, Daniel
  • Pérez, Fiz F.
  • Velo, A.
  • Hoppema, Mario
  • Olsen, Are
  • Takahashi, Taro
  • Key, Robert M.
  • González-Dávila, Melchor
  • Tanhua, Toste
  • Jeansson, Emil
  • Kozyr, Alex
  • Van Heuven, S.
The item is made of 6 files: 1) Readme_Global_monthly_dataset.txt; 2) ATNNWOA13.nc is the climatological data of total alkalinity computed with NNGv2; 3) NNGv2 is the neural network object used to create the climatology; 4) NNw3RMSE is a neural network object used to evaluate the error of the network when it is trained without data beyond +-3RMSE; 5)ATNNWOA13.mp4 is a video of the surface climatology, 3 vertical sections in the Pacific Ocean, Atlantic Ocean and Indean Ocean and, the variation in depth of one month (April); 6) Example.rar contains an example matrix of inputs to the neural network, the NNGv2.mat and a MATLAB script to compute AT with NNGv2.-- The final version is in http://dx.doi.org/10.20350/digitalCSIC/8644, This research was supported by Ministerio de Educación, Cultura y Deporte (FPU grant FPU15/06026), Ministerio de Economía y Competitividad through the ARIOS (CTM2016-76146-C3-1-R) project co-funded by the Fondo Europeo de Desarrollo Regional 2014-2020 (FEDER) and EU Horizon 2020 through the AtlantOS project (grant agreement 633211), No

DOI: http://hdl.handle.net/10261/169529
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169529
HANDLE: http://hdl.handle.net/10261/169529
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169529
PMID: http://hdl.handle.net/10261/169529
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169529
Ver en: http://hdl.handle.net/10261/169529
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169529

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/231990
Dataset. 2018

ARIOS CRUISE, RV MYTILUS

  • Pérez, Fiz F.
  • CSIC - Unidad de Tecnología Marina (UTM)
ARIOS Cruise (29MY20180115) carried out on the Research Vessel Mytilus in 2018, ARIOS: Acidification in the estuaries and Iberian oceanic platform

Proyecto: //
DOI: http://hdl.handle.net/10261/231990
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/231990
HANDLE: http://hdl.handle.net/10261/231990
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/231990
PMID: http://hdl.handle.net/10261/231990
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/231990
Ver en: http://hdl.handle.net/10261/231990
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/231990

Buscador avanzado