AWI-CPS analysis and forecast output

The dataset contains the analysis and sea ice forecast results from the Alfred Wegener Institute Coupled Prediction System (AWI-CPS). Note that due to the large ensemble used (30) in the AWI-CPS, the output data is generated with only monthly mean data. One who has further interest in the daily outp...

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Main Authors: Mu, Longjiang, Nerger, Lars, Streffing, Jan, Tang, Qi, Niraula, Bimochan, Zampieri, Lorenzo, Loza, Svetlana, Goessling, Helge
Format: Dataset
Language:unknown
Published: 2022
Subjects:
Online Access:https://zenodo.org/record/6481116
https://doi.org/10.5281/zenodo.6481116
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record_format openpolar
spelling ftzenodo:oai:zenodo.org:6481116 2023-05-15T18:16:30+02:00 AWI-CPS analysis and forecast output Mu, Longjiang Nerger, Lars Streffing, Jan Tang, Qi Niraula, Bimochan Zampieri, Lorenzo Loza, Svetlana Goessling, Helge 2022-04-25 https://zenodo.org/record/6481116 https://doi.org/10.5281/zenodo.6481116 unknown doi:10.5281/zenodo.6481115 https://zenodo.org/record/6481116 https://doi.org/10.5281/zenodo.6481116 oai:zenodo.org:6481116 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other dataset 2022 ftzenodo https://doi.org/10.5281/zenodo.648111610.5281/zenodo.6481115 2023-03-10T22:47:44Z The dataset contains the analysis and sea ice forecast results from the Alfred Wegener Institute Coupled Prediction System (AWI-CPS). Note that due to the large ensemble used (30) in the AWI-CPS, the output data is generated with only monthly mean data. One who has further interest in the daily output could reach the authors through emails. AWI-CPS.DA.tar.gz has both ocean and sea ice variables, where the variable has a suffix of 'f' means forecast, 'a' stands for analysis, and 'ini' stands for initialized states. AWI-CPS.FCST.tar.gz contains the sea ice forecasts for different lead times initialized in January, April, July and October. The axis 'fcst' for each variable actually represents forecasts with 4 different lead times of L0-2, L3-5, L6-8, L9-11. For example, L0-2 indicates forecasts with lead times of 0, 1, and 2 months, and so forth for other lead times. Both sea ice probability and sea ice concentration before and after the calibration are given in the data file. Specifically, SIP_FCST_CORR is for sea ice probability after calibration, while SIP_FCST_RAW is the raw forecast; SIC_Cal is after calibration, while SIC_RAW is the raw forecast. To obtain the mesh file for FESOM2 and visualize the data, one is referred to https://doi.org/10.5281/zenodo.6335530. Dataset Sea ice Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description The dataset contains the analysis and sea ice forecast results from the Alfred Wegener Institute Coupled Prediction System (AWI-CPS). Note that due to the large ensemble used (30) in the AWI-CPS, the output data is generated with only monthly mean data. One who has further interest in the daily output could reach the authors through emails. AWI-CPS.DA.tar.gz has both ocean and sea ice variables, where the variable has a suffix of 'f' means forecast, 'a' stands for analysis, and 'ini' stands for initialized states. AWI-CPS.FCST.tar.gz contains the sea ice forecasts for different lead times initialized in January, April, July and October. The axis 'fcst' for each variable actually represents forecasts with 4 different lead times of L0-2, L3-5, L6-8, L9-11. For example, L0-2 indicates forecasts with lead times of 0, 1, and 2 months, and so forth for other lead times. Both sea ice probability and sea ice concentration before and after the calibration are given in the data file. Specifically, SIP_FCST_CORR is for sea ice probability after calibration, while SIP_FCST_RAW is the raw forecast; SIC_Cal is after calibration, while SIC_RAW is the raw forecast. To obtain the mesh file for FESOM2 and visualize the data, one is referred to https://doi.org/10.5281/zenodo.6335530.
format Dataset
author Mu, Longjiang
Nerger, Lars
Streffing, Jan
Tang, Qi
Niraula, Bimochan
Zampieri, Lorenzo
Loza, Svetlana
Goessling, Helge
spellingShingle Mu, Longjiang
Nerger, Lars
Streffing, Jan
Tang, Qi
Niraula, Bimochan
Zampieri, Lorenzo
Loza, Svetlana
Goessling, Helge
AWI-CPS analysis and forecast output
author_facet Mu, Longjiang
Nerger, Lars
Streffing, Jan
Tang, Qi
Niraula, Bimochan
Zampieri, Lorenzo
Loza, Svetlana
Goessling, Helge
author_sort Mu, Longjiang
title AWI-CPS analysis and forecast output
title_short AWI-CPS analysis and forecast output
title_full AWI-CPS analysis and forecast output
title_fullStr AWI-CPS analysis and forecast output
title_full_unstemmed AWI-CPS analysis and forecast output
title_sort awi-cps analysis and forecast output
publishDate 2022
url https://zenodo.org/record/6481116
https://doi.org/10.5281/zenodo.6481116
genre Sea ice
genre_facet Sea ice
op_relation doi:10.5281/zenodo.6481115
https://zenodo.org/record/6481116
https://doi.org/10.5281/zenodo.6481116
oai:zenodo.org:6481116
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.648111610.5281/zenodo.6481115
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