Script package for generating sea-ice presence forecast using the Spatial Damped Anomaly Persistence (SDAP) method
Software package containing the R-scripts used to generate the Spatial Damped Anomaly Persistence (SDAP)Forecasts of ice-presence in the Arctic or Antarctic. Scripts initially designed to be used with OSISAF sea-ice concentration data as input, but can be adapted to other sic datasets with some chan...
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ftzenodo:oai:zenodo.org:5554799 2024-09-15T17:41:42+00:00 Script package for generating sea-ice presence forecast using the Spatial Damped Anomaly Persistence (SDAP) method Niraula, Bimochan Goessling, Helge 2021-10-07 https://doi.org/10.5281/zenodo.5554799 unknown Zenodo https://github.com/earthlybimo/SpatialDampedAnomalyPersistence_SDAP/tree/v2 https://doi.org/10.5281/zenodo.5550087 https://doi.org/10.5281/zenodo.5554799 oai:zenodo.org:5554799 info:eu-repo/semantics/openAccess Other (Open) sea-ice R forecast observation OSISAF info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5281/zenodo.555479910.5281/zenodo.5550087 2024-07-25T12:49:53Z Software package containing the R-scripts used to generate the Spatial Damped Anomaly Persistence (SDAP)Forecasts of ice-presence in the Arctic or Antarctic. Scripts initially designed to be used with OSISAF sea-ice concentration data as input, but can be adapted to other sic datasets with some changes. Also contains sample files showing intermediate steps. Further information in the readme file of the script, or in Niraula and Goessling, 2021. We acknowledge the financial support by the Federal Ministry of Education and Research of Germany in the framework of SSIP (grant 01LN1701A). Other/Unknown Material Antarc* Antarctic Sea ice Zenodo |
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Open Polar |
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Zenodo |
op_collection_id |
ftzenodo |
language |
unknown |
topic |
sea-ice R forecast observation OSISAF |
spellingShingle |
sea-ice R forecast observation OSISAF Niraula, Bimochan Goessling, Helge Script package for generating sea-ice presence forecast using the Spatial Damped Anomaly Persistence (SDAP) method |
topic_facet |
sea-ice R forecast observation OSISAF |
description |
Software package containing the R-scripts used to generate the Spatial Damped Anomaly Persistence (SDAP)Forecasts of ice-presence in the Arctic or Antarctic. Scripts initially designed to be used with OSISAF sea-ice concentration data as input, but can be adapted to other sic datasets with some changes. Also contains sample files showing intermediate steps. Further information in the readme file of the script, or in Niraula and Goessling, 2021. We acknowledge the financial support by the Federal Ministry of Education and Research of Germany in the framework of SSIP (grant 01LN1701A). |
format |
Other/Unknown Material |
author |
Niraula, Bimochan Goessling, Helge |
author_facet |
Niraula, Bimochan Goessling, Helge |
author_sort |
Niraula, Bimochan |
title |
Script package for generating sea-ice presence forecast using the Spatial Damped Anomaly Persistence (SDAP) method |
title_short |
Script package for generating sea-ice presence forecast using the Spatial Damped Anomaly Persistence (SDAP) method |
title_full |
Script package for generating sea-ice presence forecast using the Spatial Damped Anomaly Persistence (SDAP) method |
title_fullStr |
Script package for generating sea-ice presence forecast using the Spatial Damped Anomaly Persistence (SDAP) method |
title_full_unstemmed |
Script package for generating sea-ice presence forecast using the Spatial Damped Anomaly Persistence (SDAP) method |
title_sort |
script package for generating sea-ice presence forecast using the spatial damped anomaly persistence (sdap) method |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://doi.org/10.5281/zenodo.5554799 |
genre |
Antarc* Antarctic Sea ice |
genre_facet |
Antarc* Antarctic Sea ice |
op_relation |
https://github.com/earthlybimo/SpatialDampedAnomalyPersistence_SDAP/tree/v2 https://doi.org/10.5281/zenodo.5550087 https://doi.org/10.5281/zenodo.5554799 oai:zenodo.org:5554799 |
op_rights |
info:eu-repo/semantics/openAccess Other (Open) |
op_doi |
https://doi.org/10.5281/zenodo.555479910.5281/zenodo.5550087 |
_version_ |
1810487939621191680 |