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Steffen Tietsche

Senior Scientist
Research Department, Earth System Predictability Section

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Profile
Summary: 

Steffen is interested in ocean and sea-ice variability and predictability, and how these contribute to predictive skill in an Earth System Model on time scales from days to seasons.

Professional interests: 
  • Arctic Predictability
  • Polar–lower latitude linkages in weather and seasonal prediction
  • Ocean–sea-ice–atmosphere interactions
  • Sea ice modelling, observation and data assimilation
  • Natural variability and climate change
Career background: 
Education

Ph.D., Max Planck Institute for Meteorology. Hamburg, Germany (2012). Thesis on “Initialization and predictability of Arctic sea ice in a global climate model”. PhD advisors J. Marotzke, D. Notz, and J. Jungclaus.

Diplom (M.Sc. equivalent) in Physics, University of Potsdam. Potsdam, Germany (2008). Final grade: 1.0 (“with distinction”). Specialization in climate science (S. Rahmstorf) and nonlinear dynamics ( J. Kurths). Thesis on "Destruction of Anderson Localization in nonlinear lattices" (supervised by A. Pikovsky).

Visiting student, University of Warwick. Coventry, UK (2003–2004)

Professional Experience
  • Since 08/2016: Senior Scientist, Research Department, ECMWF
  • 07/2015–07/2016: Scientist, Research Department, ECMWF
  • 02/2015: Visiting Scientist, GFDL, Climate Change, Variability & Prediction Group
  • 05/2012–06/2015: PostDoc, NCAS-Climate, Department of Meteorology, University of Reading
  • 01/2012–04/2012: PostDoc, Max Planck Institute for Meteorology, Hamburg
  • 06/2008–01/2012: Doctoral Student, Max Planck Institute for Meteorology, Hamburg
  • 2007: Research Assistant, “Statistical Physics/Theory of Chaos” Group, University of Potsdam
External recognitions: 
  • 2016–2018: Work package lead for H2020 SPICES project
  • Since 2017: Invited expert contributing to climatefeedback.org
  • Since 2016: Invited expert to ISSI “Sea Ice Virtual Mission” Working Group
Publications

Peer-reviewed publications

19) Tietsche, S., Alonso-Balmaseda, M., Rosnay, P., Zuo, H., Tian-Kunze, X., & Kaleschke, L. (2018). Thin Arctic sea ice in L-band observations and an ocean reanalysis. The Cryosphere, 12(6), 2051–2072. http://doi.org/10.5194/tc-12-2051-2018

18) Uotila, P., Goosse, H., Haines, K.,  … , Tietsche, S.,  (2018). An assessment of ten ocean reanalyses in the polar regions. Climate Dynamics. http://doi.org/10.1007/s00382-018-4242-z

17) Marchi, S., Fichefet, T., Goosse, H., Zunz, V., Tietsche, S., Day, J. J., & Hawkins, E. (2018). Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models. Climate Dynamics, 1–23. http://doi.org/10.1007/s00382-018-4292-2

16) Day, J. J., Tietsche, S., Collins, M., Goessling, H. F., Guemas, V., Guillory, A., Hurlin, W. J., Ishii, M., Keeley, S. P. E., Matei, D., Msadek, R., Sigmond, M., Tatebe, H., and Hawkins, E. (2016): The Arctic Predictability and Prediction on Seasonal-to-Interannual TimEscales (APPOSITE) data set version 1, Geosci. Model Dev., 9, 2255-2270, doi: 10.5194/gmd-9-2255-2016

15) H. F. Goessling, S. Tietsche, J. J. Day, E. Hawkins, T. Jung (2016): Predictability of the Arctic sea-ice edge, Geophys. Res. Lett 43, doi: 10.1002/2015GL067232

14) Tietsche, S., E. Hawkins, J. J. Day (2016): Atmospheric and oceanic contributions to irreducible forecast uncertainty of Arctic surface climate, J. Clim. 29, 331–346, doi: 10.1175/JCLI-D-15-0421.1 (open access)

13) Hawkins, E., S. Tietsche, J. J. Day, N. Melia, K. Haines, S. Keeley (2015): Aspects of designing and evaluating seasonal-to-interannual Arctic sea-ice prediction systems, Q. J. R. Meteorol. Soc., published online, doi: 10.1002/qj.2643 (open access)

12) Tietsche, S., M. A. Balmaseda, H. Zuo, K. Mogensen (2015): Arctic sea ice in the global eddy-permitting ocean reanalysis ORAP5, Clim. Dyn., published online, doi: 10.1007/s00382-015-2673-3

11) Stroeve, J., E. Blanchard-Wrigglesworth, V. Guemas, S. Howell, F. Massonnet, and S. Tietsche (2015): Improving predictions of Arctic sea ice extent, Eos 96, doi: 10.1029/2015EO031431

10) Baehr, J., K. Fröhlich, M. Botzet, D. Domeisen, L. Kornblueh, D. Notz, R. Piontek, H. Pohlmann, S. Tietsche, W. A. Müller (2014): The prediction of surface temperature in the new seasonal prediction system based on the MPI-ESM coupled climate model, Clim. Dyn. 44, 2723–2735, doi: 10.1007/s00382-014-2399-7

9) Day, J. J., E. Hawkins, S. Tietsche (2014): Will Arctic sea ice thickness initialization improve seasonal forecast skill? Geophys. Res. Lett. 41, 7566–7575, doi: 10.1002/2014GL061694 (open access)

8) Guemas, V., E. Blanchard-Wrigglesworth, M. Chevallier, J. Day, M. Deque, N. Fuckar, A. Germe, E. Hawkins, S. Keeley, T. Koenigk, D. Salas, S. Tietsche (2014): A review on Arctic sea ice predictability and prediction on seasonal-to-decadal timescales, Q. J. R. Meteorol. Soc., published online,
doi: 10.1002/qj.2401 (open access)

7) Day, J. J., S. Tietsche, and E. Hawkins (2014): Pan-Arctic and regional sea ice predictability: initialisation month dependence, J. Clim. 27, 4371–4390, doi: 10.1175/JCLI-D-13-00614.1 (open access)

6) Tietsche, S., J. J. Day, V. Guemas, W. J. Hurlin, S. P. E. Keeley, D. Matei, R. Msadek, M. Collins, and E. Hawkins (2014): Seasonal to interannual Arctic sea-ice predictability in current global climate models, Geophys. Res. Lett. 41, 1035–1043, doi: 10.1002/2013GL058755 (open access)

5) Tietsche, S., D. Notz, J. H. Jungclaus, and J. Marotzke (2013): Predictability of large interannual Arctic sea-ice anomalies, Clim. Dyn. 41 (9), 2511–2526, doi: 10.1007/s00382-013-1698-8

4) Li, C., D. Notz, S. Tietsche, and J. Marotzke (2013): The transient versus the equilibrium response of sea ice to global warming, J. Clim. 26, 5624–5636, doi: 10.1175/JCLI-D-12-00492.1

3) Tietsche, S., D. Notz, J. H. Jungclaus, and J. Marotzke (2013): Assimilation of sea-ice concentration in a global coupled climate model – physical and statistical aspects, Ocean Sci. 9, 19–36, doi: 10.5194/os-9-19-2013 (open access)

2) Tietsche, S., D. Notz, J. H. Jungclaus, and J. Marotzke (2011): Recovery mechanisms of Arctic summer sea ice, Geophys. Res. Lett. 38, L02707, doi: 10.1029/2010GL045698 (open access)

1) Tietsche, S. and A. Pikovsky (2008): Chaotic destruction of Anderson localization in a nonlinear lattice, Europhysics Letters 84, 10006, doi: 10.1209/0295-5075/84/10006

Other publications

  • Stockdale, T, M. Alonso-Balmaseda, S. Johnson, L. Ferranti, F. Molteni, L. Magnusson, S. Tietsche, F. Vitart, D. Decremer, A. Weisheimer, CD Roberts, G. Balsamo, S. Keeley, K. Mogensen, H. Zuo, BM Monge-Sanz (2018): SEAS5 and the future evolution of the long-range forecast system, ECMWF Technical Memorandum 835 [elibrary]
  • Zuo, H., V. S. Lien, A. B. Sandø, G. Garric, C. Bricaud, K. A. Peterson, A. Storto, S. Tietsche, M. Mayer (2018).  Remarkable events during 2016 – Extreme sea ice conditions, in Copernicus Marine Service Ocean State Report, pp. 120--123, https://doi.org/10.1080/1755876X.2018.1489208
  • Zuo, H., M. Alonso-Balmaseda, K. Mogensen, S. Tietsche (2018). OCEAN5: The ECMWF ocean reanalysis system and its real-time analysis component. ECMWF Technical Memorandum 823 [elibrary]
  • Tietsche, S., M. Alonso-Balmaseda, H. Zuo, P. de Rosnay  (2017). Comparing Arctic winter sea-ice thickness from SMOS and ORAS5. ECMWF Technical Memorandum 803. [elibrary]
  • Tietsche, S., M. Balmaseda, H. Zuo (2017). Monitoring thin sea ice in the Arctic. ECMWF Newsletter, 23–26. http://doi.org/10.21957/yp392k
  • Tietsche, S., M. Balmaseda, H. Zuo (2017). Integrated assessment of Marine ECVs in the ECMWF ocean reanalysis system. Chapter in Quality Assessment Report of the Climate Modelling User Group, ESA Technical Report
  • Tietsche, S., M.A. Balmaseda, H. Zuo, K. Mogensen (2014): Arctic sea ice in the ECMWF MyOcean2 ocean reanalysis ORAP5, ECMWF Technical Memorandum 737 [elibrary]
  • Tietsche, S. (2012): Initialization and predictability of Arctic sea ice in a global climate model, PhD thesis, Hamburg [pdf]
  • Tietsche, S., F. Sapuppo, P. Sinn (2008): Parametric Studies on Networks of Morris-Lecar Neurons, in Lectures in Supercomputational Neuroscience, edited by P. beim Graben, C. Zhou, M. Thiel, and J. Kurths, pp. 319–330, Springer [book homepage]

thumbnail photo of Steffen Tietsche
Contact Details:
steffen . tietscheecmwf . int
Tel. +44 (0) 118 94992068