NorCPM sea ice reanalysis using weakly-coupled anomaly assimilation of SST and T-S profiles and strongly-coupled anomaly assimilation of SIC ...
Reanalysis is performed with monthly weakly-coupled anomaly assimilation of SST and T-S profiles and anomaly assimilation of SIC strongly coupled with the ocean, using 30 ensemble members throughout 1980-2010. ... : 11160 Hierarchical Data Format (version 5) data, totaling ...... 15.47 GB ...
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Online Access: | https://dx.doi.org/10.11582/2019.00031 https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2019.00031 |
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ftdatacite:10.11582/2019.00031 2023-08-27T04:11:54+02:00 NorCPM sea ice reanalysis using weakly-coupled anomaly assimilation of SST and T-S profiles and strongly-coupled anomaly assimilation of SIC ... Kimmritz, Madlen Counillon, Francois Wang, Yiguo Nansen Environmental And Remote Sensing Center Bjerknes Centre For Climate Research 2019 https://dx.doi.org/10.11582/2019.00031 https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2019.00031 unknown Archive2014 Natural sciences FOS Natural sciences Earth science Oceanography FOS Earth and related environmental sciences dataset Simulation, Raw Dataset 2019 ftdatacite https://doi.org/10.11582/2019.00031 2023-08-07T14:24:23Z Reanalysis is performed with monthly weakly-coupled anomaly assimilation of SST and T-S profiles and anomaly assimilation of SIC strongly coupled with the ocean, using 30 ensemble members throughout 1980-2010. ... : 11160 Hierarchical Data Format (version 5) data, totaling ...... 15.47 GB ... 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 |
unknown |
topic |
Natural sciences FOS Natural sciences Earth science Oceanography FOS Earth and related environmental sciences |
spellingShingle |
Natural sciences FOS Natural sciences Earth science Oceanography FOS Earth and related environmental sciences Kimmritz, Madlen Counillon, Francois Wang, Yiguo Nansen Environmental And Remote Sensing Center Bjerknes Centre For Climate Research NorCPM sea ice reanalysis using weakly-coupled anomaly assimilation of SST and T-S profiles and strongly-coupled anomaly assimilation of SIC ... |
topic_facet |
Natural sciences FOS Natural sciences Earth science Oceanography FOS Earth and related environmental sciences |
description |
Reanalysis is performed with monthly weakly-coupled anomaly assimilation of SST and T-S profiles and anomaly assimilation of SIC strongly coupled with the ocean, using 30 ensemble members throughout 1980-2010. ... : 11160 Hierarchical Data Format (version 5) data, totaling ...... 15.47 GB ... |
format |
Dataset |
author |
Kimmritz, Madlen Counillon, Francois Wang, Yiguo Nansen Environmental And Remote Sensing Center Bjerknes Centre For Climate Research |
author_facet |
Kimmritz, Madlen Counillon, Francois Wang, Yiguo Nansen Environmental And Remote Sensing Center Bjerknes Centre For Climate Research |
author_sort |
Kimmritz, Madlen |
title |
NorCPM sea ice reanalysis using weakly-coupled anomaly assimilation of SST and T-S profiles and strongly-coupled anomaly assimilation of SIC ... |
title_short |
NorCPM sea ice reanalysis using weakly-coupled anomaly assimilation of SST and T-S profiles and strongly-coupled anomaly assimilation of SIC ... |
title_full |
NorCPM sea ice reanalysis using weakly-coupled anomaly assimilation of SST and T-S profiles and strongly-coupled anomaly assimilation of SIC ... |
title_fullStr |
NorCPM sea ice reanalysis using weakly-coupled anomaly assimilation of SST and T-S profiles and strongly-coupled anomaly assimilation of SIC ... |
title_full_unstemmed |
NorCPM sea ice reanalysis using weakly-coupled anomaly assimilation of SST and T-S profiles and strongly-coupled anomaly assimilation of SIC ... |
title_sort |
norcpm sea ice reanalysis using weakly-coupled anomaly assimilation of sst and t-s profiles and strongly-coupled anomaly assimilation of sic ... |
publisher |
Archive2014 |
publishDate |
2019 |
url |
https://dx.doi.org/10.11582/2019.00031 https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2019.00031 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_doi |
https://doi.org/10.11582/2019.00031 |
_version_ |
1775355562452582400 |