Model output, Article: Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean-sea ice modeling system ...
This is model output used for the analysis in the following paper: Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean-sea ice modelling system, The Cryosphere, 2018, Fritzner et. al. ... : 1 Zip archive data, totaling ...... 36.26 GB ...
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| Format: | Dataset |
| Language: | unknown |
| Published: |
Archive2014
2019
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.11582/2019.00005 https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2019.00005 |
| id |
ftdatacite:10.11582/2019.00005 |
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| record_format |
openpolar |
| spelling |
ftdatacite:10.11582/2019.00005 2023-08-27T04:11:52+02:00 Model output, Article: Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean-sea ice modeling system ... Fritzner, Sindre 2019 https://dx.doi.org/10.11582/2019.00005 https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2019.00005 unknown Archive2014 Natural sciences FOS Natural sciences Earth science Oceanography FOS Earth and related environmental sciences dataset Experiment, Raw Dataset 2019 ftdatacite https://doi.org/10.11582/2019.00005 2023-08-07T14:24:23Z This is model output used for the analysis in the following paper: Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean-sea ice modelling system, The Cryosphere, 2018, Fritzner et. al. ... : 1 Zip archive data, totaling ...... 36.26 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 Fritzner, Sindre Model output, Article: Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean-sea ice modeling system ... |
| topic_facet |
Natural sciences FOS Natural sciences Earth science Oceanography FOS Earth and related environmental sciences |
| description |
This is model output used for the analysis in the following paper: Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean-sea ice modelling system, The Cryosphere, 2018, Fritzner et. al. ... : 1 Zip archive data, totaling ...... 36.26 GB ... |
| format |
Dataset |
| author |
Fritzner, Sindre |
| author_facet |
Fritzner, Sindre |
| author_sort |
Fritzner, Sindre |
| title |
Model output, Article: Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean-sea ice modeling system ... |
| title_short |
Model output, Article: Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean-sea ice modeling system ... |
| title_full |
Model output, Article: Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean-sea ice modeling system ... |
| title_fullStr |
Model output, Article: Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean-sea ice modeling system ... |
| title_full_unstemmed |
Model output, Article: Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean-sea ice modeling system ... |
| title_sort |
model output, article: impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean-sea ice modeling system ... |
| publisher |
Archive2014 |
| publishDate |
2019 |
| url |
https://dx.doi.org/10.11582/2019.00005 https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2019.00005 |
| genre |
Sea ice |
| genre_facet |
Sea ice |
| op_doi |
https://doi.org/10.11582/2019.00005 |
| _version_ |
1775355485303603200 |