Reanalysis and future climate projections of the physical state of the Gulf of Riga 1993-2100 ...
Data sets There are two data sets: (1) reanalysis (1993-2021) and (2) future projection (2015-2100). Future projection data set is split into 10 files. The dataset provides gridded monthly mean values of physical parameters in the Gulf of Riga, Baltic Sea. The variables of the dataset of the physica...
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Online Access: | https://dx.doi.org/10.5281/zenodo.8248942 https://zenodo.org/record/8248942 |
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ftdatacite:10.5281/zenodo.8248942 2023-10-01T03:59:23+02:00 Reanalysis and future climate projections of the physical state of the Gulf of Riga 1993-2100 ... Vilnis, Frishfelds Daiga, Cepīte- Frišfelde Andrejs, Timuhins Uldis, Bethers Juris, Sennikovs 2023 https://dx.doi.org/10.5281/zenodo.8248942 https://zenodo.org/record/8248942 en eng Zenodo https://dx.doi.org/10.5281/zenodo.8248943 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess the Gulf of Riga oceanographic reanalysis future climate projection Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.824894210.5281/zenodo.8248943 2023-09-04T13:57:26Z Data sets There are two data sets: (1) reanalysis (1993-2021) and (2) future projection (2015-2100). Future projection data set is split into 10 files. The dataset provides gridded monthly mean values of physical parameters in the Gulf of Riga, Baltic Sea. The variables of the dataset of the physical state of the Gulf of Riga are as follows (Long name: acronym , units ) Potential temperature: thetao, ° C Sea water salinity: s, g/kg Eastward sea water velocity: ocu, m/s Northward sea water velocity: ocv, m/s Deviation of sea-level from the mean sea level: zos, m Sea ice area fraction siconc , m 2 / m 2 Sea ice thickness: sithick, m Bathymetry: bathymetry, m (included only in reanalysis data set) The grid size of the dataset is 15 (depth) x 203 (latitude) x 187 (longitude). The horizontal grid spacing is 0.5 nm; the vertical grid has 15 depth layers – 2 m deep surface layer and 4 m step for deeper layers. The time resolution of the dataset is monthly – the monthly mean value is provided in the 1st day of the ... : Acknowledgements The dataset has been created within the project "CE2COAST – Downscaling Climate and Ocean Change to services: Thresholds and Opportunities" funded by Ministry of Education and Science, Republic of Latvia through the 2019 "Joint Transnational Call on Next Generation Climate Science in Europe for Oceans" initiated by JPI Climate and JPI Oceans, contract number 23-11.17e/20/246. ... Dataset Sea ice DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
the Gulf of Riga oceanographic reanalysis future climate projection |
spellingShingle |
the Gulf of Riga oceanographic reanalysis future climate projection Vilnis, Frishfelds Daiga, Cepīte- Frišfelde Andrejs, Timuhins Uldis, Bethers Juris, Sennikovs Reanalysis and future climate projections of the physical state of the Gulf of Riga 1993-2100 ... |
topic_facet |
the Gulf of Riga oceanographic reanalysis future climate projection |
description |
Data sets There are two data sets: (1) reanalysis (1993-2021) and (2) future projection (2015-2100). Future projection data set is split into 10 files. The dataset provides gridded monthly mean values of physical parameters in the Gulf of Riga, Baltic Sea. The variables of the dataset of the physical state of the Gulf of Riga are as follows (Long name: acronym , units ) Potential temperature: thetao, ° C Sea water salinity: s, g/kg Eastward sea water velocity: ocu, m/s Northward sea water velocity: ocv, m/s Deviation of sea-level from the mean sea level: zos, m Sea ice area fraction siconc , m 2 / m 2 Sea ice thickness: sithick, m Bathymetry: bathymetry, m (included only in reanalysis data set) The grid size of the dataset is 15 (depth) x 203 (latitude) x 187 (longitude). The horizontal grid spacing is 0.5 nm; the vertical grid has 15 depth layers – 2 m deep surface layer and 4 m step for deeper layers. The time resolution of the dataset is monthly – the monthly mean value is provided in the 1st day of the ... : Acknowledgements The dataset has been created within the project "CE2COAST – Downscaling Climate and Ocean Change to services: Thresholds and Opportunities" funded by Ministry of Education and Science, Republic of Latvia through the 2019 "Joint Transnational Call on Next Generation Climate Science in Europe for Oceans" initiated by JPI Climate and JPI Oceans, contract number 23-11.17e/20/246. ... |
format |
Dataset |
author |
Vilnis, Frishfelds Daiga, Cepīte- Frišfelde Andrejs, Timuhins Uldis, Bethers Juris, Sennikovs |
author_facet |
Vilnis, Frishfelds Daiga, Cepīte- Frišfelde Andrejs, Timuhins Uldis, Bethers Juris, Sennikovs |
author_sort |
Vilnis, Frishfelds |
title |
Reanalysis and future climate projections of the physical state of the Gulf of Riga 1993-2100 ... |
title_short |
Reanalysis and future climate projections of the physical state of the Gulf of Riga 1993-2100 ... |
title_full |
Reanalysis and future climate projections of the physical state of the Gulf of Riga 1993-2100 ... |
title_fullStr |
Reanalysis and future climate projections of the physical state of the Gulf of Riga 1993-2100 ... |
title_full_unstemmed |
Reanalysis and future climate projections of the physical state of the Gulf of Riga 1993-2100 ... |
title_sort |
reanalysis and future climate projections of the physical state of the gulf of riga 1993-2100 ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.8248942 https://zenodo.org/record/8248942 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://dx.doi.org/10.5281/zenodo.8248943 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.824894210.5281/zenodo.8248943 |
_version_ |
1778533336062361600 |