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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Main Authors: Vilnis, Frishfelds, Daiga, Cepīte- Frišfelde, Andrejs, Timuhins, Uldis, Bethers, Juris, Sennikovs
Format: Dataset
Language:English
Published: Zenodo 2023
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.8248943
https://zenodo.org/record/8248943
id ftdatacite:10.5281/zenodo.8248943
record_format openpolar
spelling ftdatacite:10.5281/zenodo.8248943 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.8248943 https://zenodo.org/record/8248943 en eng Zenodo https://dx.doi.org/10.5281/zenodo.8248942 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.824894310.5281/zenodo.8248942 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)
institution 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.8248943
https://zenodo.org/record/8248943
genre Sea ice
genre_facet Sea ice
op_relation https://dx.doi.org/10.5281/zenodo.8248942
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.824894310.5281/zenodo.8248942
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