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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Online Access: | https://zenodo.org/record/6481116 https://doi.org/10.5281/zenodo.6481116 |
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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 |
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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 |
_version_ |
1766190154150576128 |