Deliverable No. 6.4 Start with the archiving and dissemination of YOPP Analysis and Forecast Dataset

In the framework of APPLICATE (WP6, Task 6.2), operational model output from the ECMWF Integrated Forecast System (IFS) will be archived and made available for the APPLICATE team and the scientific community for a period relevant for the Year of Polar Prediction (YOPP). This global dataset will allo...

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Main Authors: Fuentes, Manuel, Sandu, Irina
Format: Text
Language:English
Published: Zenodo 2018
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Online Access:https://dx.doi.org/10.5281/zenodo.3569306
https://zenodo.org/record/3569306
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spelling ftdatacite:10.5281/zenodo.3569306 2023-05-15T15:09:53+02:00 Deliverable No. 6.4 Start with the archiving and dissemination of YOPP Analysis and Forecast Dataset Fuentes, Manuel Sandu, Irina 2018 https://dx.doi.org/10.5281/zenodo.3569306 https://zenodo.org/record/3569306 en eng Zenodo https://dx.doi.org/10.5281/zenodo.3569307 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 CC-BY Text Project deliverable article-journal ScholarlyArticle 2018 ftdatacite https://doi.org/10.5281/zenodo.3569306 https://doi.org/10.5281/zenodo.3569307 2021-11-05T12:55:41Z In the framework of APPLICATE (WP6, Task 6.2), operational model output from the ECMWF Integrated Forecast System (IFS) will be archived and made available for the APPLICATE team and the scientific community for a period relevant for the Year of Polar Prediction (YOPP). This global dataset will allow performing detailed process studies and model error analysis that can help understanding the roots of model biases and forecast failures, and thus advance predictions in the Arctic and beyond. The work necessary to prepare, to archive and to disseminate the new ECMWF YOPP dataset was successfully completed and is described in this deliverable (D6.4) report. The dataset contains for now selected atmospheric variables from the control of the operational ECWMF ensemble forecasting system, at a resolution of approximately 18 km, for the period May 2017 to present. These variables are archived up to a forecast lead time of 15 days, with a 3 hourly resolution. The dataset is continuously fed as time progresses and will ultimately cover a two year period from mid-2017 to mid-2019. The preparatory work necessary to archive model tendencies from physical and dynamical tendencies, which are not archived operationally, has also been completed and these tendencies will be added in the near future to the dataset. The ECMWF YOPP dataset can be accessed through a web portalhttp://apps.ecmwf.int/datasets/data/yopp/levtype=sfc/type=cf/, and is described at:https://software.ecmwf.int/wiki/display/YOPP/ECMWF+contribution+to+YOPP Text Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic
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collection DataCite Metadata Store (German National Library of Science and Technology)
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description In the framework of APPLICATE (WP6, Task 6.2), operational model output from the ECMWF Integrated Forecast System (IFS) will be archived and made available for the APPLICATE team and the scientific community for a period relevant for the Year of Polar Prediction (YOPP). This global dataset will allow performing detailed process studies and model error analysis that can help understanding the roots of model biases and forecast failures, and thus advance predictions in the Arctic and beyond. The work necessary to prepare, to archive and to disseminate the new ECMWF YOPP dataset was successfully completed and is described in this deliverable (D6.4) report. The dataset contains for now selected atmospheric variables from the control of the operational ECWMF ensemble forecasting system, at a resolution of approximately 18 km, for the period May 2017 to present. These variables are archived up to a forecast lead time of 15 days, with a 3 hourly resolution. The dataset is continuously fed as time progresses and will ultimately cover a two year period from mid-2017 to mid-2019. The preparatory work necessary to archive model tendencies from physical and dynamical tendencies, which are not archived operationally, has also been completed and these tendencies will be added in the near future to the dataset. The ECMWF YOPP dataset can be accessed through a web portalhttp://apps.ecmwf.int/datasets/data/yopp/levtype=sfc/type=cf/, and is described at:https://software.ecmwf.int/wiki/display/YOPP/ECMWF+contribution+to+YOPP
format Text
author Fuentes, Manuel
Sandu, Irina
spellingShingle Fuentes, Manuel
Sandu, Irina
Deliverable No. 6.4 Start with the archiving and dissemination of YOPP Analysis and Forecast Dataset
author_facet Fuentes, Manuel
Sandu, Irina
author_sort Fuentes, Manuel
title Deliverable No. 6.4 Start with the archiving and dissemination of YOPP Analysis and Forecast Dataset
title_short Deliverable No. 6.4 Start with the archiving and dissemination of YOPP Analysis and Forecast Dataset
title_full Deliverable No. 6.4 Start with the archiving and dissemination of YOPP Analysis and Forecast Dataset
title_fullStr Deliverable No. 6.4 Start with the archiving and dissemination of YOPP Analysis and Forecast Dataset
title_full_unstemmed Deliverable No. 6.4 Start with the archiving and dissemination of YOPP Analysis and Forecast Dataset
title_sort deliverable no. 6.4 start with the archiving and dissemination of yopp analysis and forecast dataset
publisher Zenodo
publishDate 2018
url https://dx.doi.org/10.5281/zenodo.3569306
https://zenodo.org/record/3569306
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://dx.doi.org/10.5281/zenodo.3569307
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_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.3569306
https://doi.org/10.5281/zenodo.3569307
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