S
Steffen Tietsche
Researcher at European Centre for Medium-Range Weather Forecasts
Publications - 55
Citations - 2472
Steffen Tietsche is an academic researcher from European Centre for Medium-Range Weather Forecasts. The author has contributed to research in topics: Sea ice & Arctic ice pack. The author has an hindex of 20, co-authored 39 publications receiving 1703 citations. Previous affiliations of Steffen Tietsche include Max Planck Society & University of Potsdam.
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SEAS5: the new ECMWF seasonal forecast system
Stephanie J. Johnson,Timothy N. Stockdale,Laura Ferranti,Magdalena Balmaseda,Franco Molteni,Linus Magnusson,Steffen Tietsche,Damien Decremer,Antje Weisheimer,Gianpaolo Balsamo,Sarah Keeley,Kristian Mogensen,Hao Zuo,B. M. Monge-Sanz +13 more
TL;DR: SEAS5 as discussed by the authors is the ECMWF's fifth generation seasonal forecast system, which became operational in November 2017 and includes upgraded versions of the atmosphere and ocean models at higher resolutions and adds a prognostic sea-ice model.
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The ECMWF operational ensemble reanalysis–analysis system for ocean and sea ice: a description of the system and assessment
TL;DR: The ECMWF OCEAN5 system is a global ocean and sea-ice ensemble of reanalysis and real-time analysis as discussed by the authors, with the focus on upgrades of system components with respect to its predecessors, ORAS4 and ORAP5.
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A review on Arctic sea‐ice predictability and prediction on seasonal to decadal time‐scales
Virginie Guemas,Edward Blanchard-Wrigglesworth,Matthieu Chevallier,Jonathan J. Day,Michel Déqué,Francisco J. Doblas-Reyes,Neven S. Fučkar,Agathe Germe,Ed Hawkins,Sarah Keeley,Torben Koenigk,David Salas y Mélia,Steffen Tietsche +12 more
TL;DR: A review of the potential sources of Arctic sea-ice predictability on these time-scales is presented in this paper, where the inherent potential predictability limit with state-of-the-art models is estimated, together with their performance.
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Recovery mechanisms of Arctic summer sea ice
TL;DR: In this article, the authors examined the recovery of Arctic sea ice from prescribed ice-free summer conditions in simulations of 21st century climate in an atmosphere-ocean general circulation model and found that ice extent recovers typically within two years.
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Will Arctic sea ice thickness initialization improve seasonal forecast skill
TL;DR: In this article, a set of ensemble potential predictability experiments with a global climate model, initialized with and without knowledge of the sea ice thickness initial state, have been run, and the results suggest that advancing capabilities to observe and assimilate seaice thickness into coupled seasonal forecast systems could significantly increase skill.