Sea-ice deformation forecasts for the MOSAiC Arctic drift campaign in the SIDFEx database

The Sea Ice Drift Forecast Experiment (SIDFEx) database comprises more than 180,000 forecasts for trajectories of single sea-ice buoys in the Arctic and Antarctic, collected since 2017. SIDFEx is a community effort originating from the Year Of Polar Prediction. Forecasts are provided by various fore...

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Main Authors: Ludwig, Valentin, Goessling, Helge
Format: Conference Object
Language:unknown
Published: 2022
Subjects:
Online Access:https://epic.awi.de/id/eprint/56444/
https://epic.awi.de/id/eprint/56444/1/egu_deformation_20220525_v1.pdf
https://hdl.handle.net/10013/epic.7b619f13-2c79-41a1-ab8a-a93fdda07f47
https://hdl.handle.net/
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spelling ftawi:oai:epic.awi.de:56444 2023-05-15T13:15:37+02:00 Sea-ice deformation forecasts for the MOSAiC Arctic drift campaign in the SIDFEx database Ludwig, Valentin Goessling, Helge 2022-05-25 application/pdf https://epic.awi.de/id/eprint/56444/ https://epic.awi.de/id/eprint/56444/1/egu_deformation_20220525_v1.pdf https://hdl.handle.net/10013/epic.7b619f13-2c79-41a1-ab8a-a93fdda07f47 https://hdl.handle.net/ unknown https://epic.awi.de/id/eprint/56444/1/egu_deformation_20220525_v1.pdf https://hdl.handle.net/ Ludwig, V. orcid:0000-0002-4877-5214 and Goessling, H. orcid:0000-0001-9018-1383 , SIDFEx team (2022) Sea-ice deformation forecasts for the MOSAiC Arctic drift campaign in the SIDFEx database , EGU General Assembly 2022, 23 May 2022 - 27 May 2022 . doi:10.5194/egusphere-egu22-7237 <https://doi.org/10.5194/egusphere-egu22-7237> , hdl:10013/epic.7b619f13-2c79-41a1-ab8a-a93fdda07f47 EPIC3EGU General Assembly 2022, 2022-05-23-2022-05-27 Conference notRev 2022 ftawi https://doi.org/10.5194/egusphere-egu22-7237 2022-10-09T23:12:45Z The Sea Ice Drift Forecast Experiment (SIDFEx) database comprises more than 180,000 forecasts for trajectories of single sea-ice buoys in the Arctic and Antarctic, collected since 2017. SIDFEx is a community effort originating from the Year Of Polar Prediction. Forecasts are provided by various forecast centres and collected, and archived by the Alfred Wegener Institute (AWI). AWI provides a dedicated software package and an interactive online platform for analysing the forecasts. Their lead times range from daily to seasonal scales. Among the buoys targeted by SIDFEx are the buoys of the Distributed Network (DN) array which was deployed during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. In this contribution, we show to what extent the deformation (divergence, shear and vorticity) of the DN can be forecasted by the SIDFEx forecasts. We investigate the performance of single models as well as a consensus forecast which merges the single forecasts to a seamless best-guess forecast. Conference Object Alfred Wegener Institute Antarc* Antarctic Arctic Arctic Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Antarctic Arctic
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description The Sea Ice Drift Forecast Experiment (SIDFEx) database comprises more than 180,000 forecasts for trajectories of single sea-ice buoys in the Arctic and Antarctic, collected since 2017. SIDFEx is a community effort originating from the Year Of Polar Prediction. Forecasts are provided by various forecast centres and collected, and archived by the Alfred Wegener Institute (AWI). AWI provides a dedicated software package and an interactive online platform for analysing the forecasts. Their lead times range from daily to seasonal scales. Among the buoys targeted by SIDFEx are the buoys of the Distributed Network (DN) array which was deployed during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. In this contribution, we show to what extent the deformation (divergence, shear and vorticity) of the DN can be forecasted by the SIDFEx forecasts. We investigate the performance of single models as well as a consensus forecast which merges the single forecasts to a seamless best-guess forecast.
format Conference Object
author Ludwig, Valentin
Goessling, Helge
spellingShingle Ludwig, Valentin
Goessling, Helge
Sea-ice deformation forecasts for the MOSAiC Arctic drift campaign in the SIDFEx database
author_facet Ludwig, Valentin
Goessling, Helge
author_sort Ludwig, Valentin
title Sea-ice deformation forecasts for the MOSAiC Arctic drift campaign in the SIDFEx database
title_short Sea-ice deformation forecasts for the MOSAiC Arctic drift campaign in the SIDFEx database
title_full Sea-ice deformation forecasts for the MOSAiC Arctic drift campaign in the SIDFEx database
title_fullStr Sea-ice deformation forecasts for the MOSAiC Arctic drift campaign in the SIDFEx database
title_full_unstemmed Sea-ice deformation forecasts for the MOSAiC Arctic drift campaign in the SIDFEx database
title_sort sea-ice deformation forecasts for the mosaic arctic drift campaign in the sidfex database
publishDate 2022
url https://epic.awi.de/id/eprint/56444/
https://epic.awi.de/id/eprint/56444/1/egu_deformation_20220525_v1.pdf
https://hdl.handle.net/10013/epic.7b619f13-2c79-41a1-ab8a-a93fdda07f47
https://hdl.handle.net/
geographic Antarctic
Arctic
geographic_facet Antarctic
Arctic
genre Alfred Wegener Institute
Antarc*
Antarctic
Arctic
Arctic
Sea ice
genre_facet Alfred Wegener Institute
Antarc*
Antarctic
Arctic
Arctic
Sea ice
op_source EPIC3EGU General Assembly 2022, 2022-05-23-2022-05-27
op_relation https://epic.awi.de/id/eprint/56444/1/egu_deformation_20220525_v1.pdf
https://hdl.handle.net/
Ludwig, V. orcid:0000-0002-4877-5214 and Goessling, H. orcid:0000-0001-9018-1383 , SIDFEx team (2022) Sea-ice deformation forecasts for the MOSAiC Arctic drift campaign in the SIDFEx database , EGU General Assembly 2022, 23 May 2022 - 27 May 2022 . doi:10.5194/egusphere-egu22-7237 <https://doi.org/10.5194/egusphere-egu22-7237> , hdl:10013/epic.7b619f13-2c79-41a1-ab8a-a93fdda07f47
op_doi https://doi.org/10.5194/egusphere-egu22-7237
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