Arctic Ocean - DIVAnd 4D 6-year seasonal analysis of Water body silicate 1970/2017 v2023 ... : Arctic-Water_body_silicate-v2023-ANA ...
Moving 6-year analysis of silicate in the Arctic Ocean, for each season in the period 1970-2017. Every year of the time dimension corresponds to the 6-year centered average for each season. Winter: December-February, Spring: March-May, Summer: June-August, Autumn: September-November. Depth range (IO...
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EMODnet Chemistry
2023
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Online Access: | https://dx.doi.org/10.13120/2ddd24c0-0afb-443b-a0a5-51a4f33324c2 https://sextant.ifremer.fr/documentation/emodnet_chemistry/api/catalogue.html#/metadata/2ddd24c0-0afb-443b-a0a5-51a4f33324c2 |
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ftdatacite:10.13120/2ddd24c0-0afb-443b-a0a5-51a4f33324c2 2023-12-03T10:16:24+01:00 Arctic Ocean - DIVAnd 4D 6-year seasonal analysis of Water body silicate 1970/2017 v2023 ... : Arctic-Water_body_silicate-v2023-ANA ... Institute Of Marine Research 2023 Climate and Forecast NetCDF https://dx.doi.org/10.13120/2ddd24c0-0afb-443b-a0a5-51a4f33324c2 https://sextant.ifremer.fr/documentation/emodnet_chemistry/api/catalogue.html#/metadata/2ddd24c0-0afb-443b-a0a5-51a4f33324c2 unknown EMODnet Chemistry The data are available under the Creative Commons Attribution 4.0 International Public License (https://creativecommons.org/licenses/by/4.0/). Oceanographic geographical features Silicate concentration parameters in the water column Water body silicate Silicates Arctic Ocean water body EMODnet Chemistry series/Series Dataset dataset 2023 ftdatacite https://doi.org/10.13120/2ddd24c0-0afb-443b-a0a5-51a4f33324c2 2023-11-03T10:25:35Z Moving 6-year analysis of silicate in the Arctic Ocean, for each season in the period 1970-2017. Every year of the time dimension corresponds to the 6-year centered average for each season. Winter: December-February, Spring: March-May, Summer: June-August, Autumn: September-November. Depth range (IODE standard depths): 0, 5, 10, 20, 30, 40, 50, 75, 100, 125, 150, 200, 250, 300, 400, ..., 1500, 1750, 2000, 2500m. Units: umol/l. Description of DIVA analysis: The computation was done with DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.9, using GEBCO 30sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps grids is 0.1 degrees. Signal-to-noise ratio was fixed to 3.0, horizontal correlation length varying from 45 km near the coast to 150 km, and vertical correlation length varying between 25 and 1000 m. Logarithmic transformation is applied to the data prior to the analysis. Background field: analysis with signal-to-noise ... Dataset Arctic Arctic Ocean DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Oceanographic geographical features Silicate concentration parameters in the water column Water body silicate Silicates Arctic Ocean water body EMODnet Chemistry |
spellingShingle |
Oceanographic geographical features Silicate concentration parameters in the water column Water body silicate Silicates Arctic Ocean water body EMODnet Chemistry Institute Of Marine Research Arctic Ocean - DIVAnd 4D 6-year seasonal analysis of Water body silicate 1970/2017 v2023 ... : Arctic-Water_body_silicate-v2023-ANA ... |
topic_facet |
Oceanographic geographical features Silicate concentration parameters in the water column Water body silicate Silicates Arctic Ocean water body EMODnet Chemistry |
description |
Moving 6-year analysis of silicate in the Arctic Ocean, for each season in the period 1970-2017. Every year of the time dimension corresponds to the 6-year centered average for each season. Winter: December-February, Spring: March-May, Summer: June-August, Autumn: September-November. Depth range (IODE standard depths): 0, 5, 10, 20, 30, 40, 50, 75, 100, 125, 150, 200, 250, 300, 400, ..., 1500, 1750, 2000, 2500m. Units: umol/l. Description of DIVA analysis: The computation was done with DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.9, using GEBCO 30sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps grids is 0.1 degrees. Signal-to-noise ratio was fixed to 3.0, horizontal correlation length varying from 45 km near the coast to 150 km, and vertical correlation length varying between 25 and 1000 m. Logarithmic transformation is applied to the data prior to the analysis. Background field: analysis with signal-to-noise ... |
format |
Dataset |
author |
Institute Of Marine Research |
author_facet |
Institute Of Marine Research |
author_sort |
Institute Of Marine Research |
title |
Arctic Ocean - DIVAnd 4D 6-year seasonal analysis of Water body silicate 1970/2017 v2023 ... : Arctic-Water_body_silicate-v2023-ANA ... |
title_short |
Arctic Ocean - DIVAnd 4D 6-year seasonal analysis of Water body silicate 1970/2017 v2023 ... : Arctic-Water_body_silicate-v2023-ANA ... |
title_full |
Arctic Ocean - DIVAnd 4D 6-year seasonal analysis of Water body silicate 1970/2017 v2023 ... : Arctic-Water_body_silicate-v2023-ANA ... |
title_fullStr |
Arctic Ocean - DIVAnd 4D 6-year seasonal analysis of Water body silicate 1970/2017 v2023 ... : Arctic-Water_body_silicate-v2023-ANA ... |
title_full_unstemmed |
Arctic Ocean - DIVAnd 4D 6-year seasonal analysis of Water body silicate 1970/2017 v2023 ... : Arctic-Water_body_silicate-v2023-ANA ... |
title_sort |
arctic ocean - divand 4d 6-year seasonal analysis of water body silicate 1970/2017 v2023 ... : arctic-water_body_silicate-v2023-ana ... |
publisher |
EMODnet Chemistry |
publishDate |
2023 |
url |
https://dx.doi.org/10.13120/2ddd24c0-0afb-443b-a0a5-51a4f33324c2 https://sextant.ifremer.fr/documentation/emodnet_chemistry/api/catalogue.html#/metadata/2ddd24c0-0afb-443b-a0a5-51a4f33324c2 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean |
genre_facet |
Arctic Arctic Ocean |
op_rights |
The data are available under the Creative Commons Attribution 4.0 International Public License (https://creativecommons.org/licenses/by/4.0/). |
op_doi |
https://doi.org/10.13120/2ddd24c0-0afb-443b-a0a5-51a4f33324c2 |
_version_ |
1784263320712249344 |