Jin-Song von Storch


Email: jin-song.von.storch@we dont want spammpimet.mpg.de

Phone: +49-40-41173-155

Fax: +49-40-41173-289

Room no. 217


Mailing Address

Max Planck Institute for Meteorology

Bundesstr. 53

D-20146 Hamburg




The Ocean in the Earth System


Research Group

              Ocean Statistics

Research Interests

The atmosphere and the ocean reveal not only vigorous time-mean circulations on planetary and basin-wide scales but also smaller-scale variations related to storms, convective events, meso-scale and sub-mesoscale eddies and internal waves. One of the main characteristics of these geophysical fluids  is hence the coexistence of motions on a vast range of scales and the resulting lack of any spatial or temporal spectral gaps. How do motions on various scales interact with each other? More importantly, how do small-scale motions, which are numerous, ubiquitous, and often energetic, affect the behavior of large-scale circulations and the responses of large-scale circulations to changes in external forcing factors? My recent research investigates these questions following various routes listed below:

  • Climate response problem with focus on energetics responses to changes in GHG forcing (How do the atmospheric energetics, e.g. in form of  Lorenz energy cycle, change in a warming climate?) 
  • Application of concepts of statistical mechanics to climate problems (Applying fluctuation-dissipation thoery to investigate the extent to which subgrid-scale fluctuations alter the climate response in a warming world)
  • High-resolution climate modeling with the goal to examine the extent to which the response of large-scale circulations, such as the Atlantic Overturning Circulation, is altered by resolving energetic small-scale components, such as oceanic mesoscale eddies (within the national consortium project STORM and the EU H2020 project PRIMAVERA)
  • Ocean energetics (oceanic Lorenz cycle, the role of internal waves for ocean energetics within DFG Collaborative Research Center TRR181)
  • Decadal climate predictability (within MikLIP and EU project THOR)
  • Resolved and parametrized meso-scale eddies in OGCMs
  • DFG-Project (STO377/2-2): "Die Atmosphäre und ihr Drehimpuls", 2001-2003
  • SFB 512 A3: "Entwicklung eines empirical atmosphärischen Modells zur Untersuchung der niederfrequenten ozeanischen Variabilität", 2001-2003
  • SFB 512 D2: '' Variabilität in Ozean und Meereis", 2004-2005
  • SFB 512: 'Vorhersagbarkeit in Ozean und Meereis', 2007-2009
  • STORM: Consortium project 'High-resolution community climate change simulations (https://verc.enes.org/community/projects/national-projects/german-projects/storm/), 2009-2014
  • CliSAP project: 'Stochastic parameterizations in atmosphere and ocean models and their implications for climate prediction', PI, 09.2009-01.2012
  • EU-project THOR 'Thermohaline Overturning - at Risk?', WP 'Coordinated multi-model ensemble experiments to assess the predictability of the THC', 2009-2011
  • CLISAP II, Research Area A 'Climate variability and predictability', 2012-10.2017
  • MiKlip project 'Atmospheric and Oceanic Data Assimilation Plus ENsemble Generation' (AODA-PENG), 2013-2014
  • EU-project PRIMAVERA 'PRocess based climate sIMulation:AdVance in high-resolution modelling and European climate Risk Assessment', PI, November 2015 -
  • TRR 181, L2: 'The interior energy pathway: internal wave emission by quasi-balanced flows'
  • TRR 181, W2: 'Energy transfer through low-mode internal waves'

Refereed Journals

  • Li, Z., J.-S. von Storch and M. Müller, 2017: The K1 internal tide simulated by a 1/10o OGCM. Ocean Modelling, 113, 145-156.
  • von Storch, J.-S., H. Haak, E. Hertwig, I. Fast, 2016: Vertical  heat and salt fluxes due to resolved and parameterized meso-scale eddies. Ocean Modelling, 108, 1-19.
  • Tian, F., J.-S. von Storch, and E. Hertwig, 2016: Air-sea fluxes in a climate model using hourly coupling between the atmospheric and the oceanic components. Clim. Dyn., DOI 10.1007/s00382-016-3228-y.
  • Haarsma,R.J., M.Roberts, P.L. Vidale, C.A. Senior, A. Bellucci, Q.Bao, P. Chang, S. Corti, N.S. Fuckar, V. Guemas, J. von  Hardenberg, W. Hazeleger, C. Kodama, T. Koenigk, L.R. Leung, J.Lu, J.-J. Luo, J. Mao, M.S. Mizielinski, R. Mizuta, P. Nobre, M. Satoh, E. Scoccimarro, T. Semmler, J. Small, J.-S. von Storch, 2016: High resolution model intercomparison project (HighResMIP). Geosci. Model Dev., 9, 4185-4208, doi:10.5194/gmd-9-4185-2016.
  • Berner, J., U. Achatz, L. Batté, L. Bengtsson, A. Cámara, H. M. Christensen, M. Colangeli, D.R.B. Coleman, D. Crommelin, S. Dolaptchiev, C.L.E. Franzke, P. Friederichs, P. Imkeller, H. Järvinen, S. Juricke, V. Kitsios, F. Lott, V. Lucarini, S. Mahajan, T.N. Palmer, C. Penland, M. Sakradzija, J.-S. von Storch, A. Weisheimer, M. Weniger, J-I Yano, 2016: Stochastic parameterization: Towards a new view of weather and climate models. BAMS, doi: 10.1175/BAMS-D-15-00268.1
  • Li, Z., J.-S. von Storch and M. Müller, 2015: The M2 internal tide simulated by a 1/10o OGCM.   J. Phys. Oceanogr., 45, 3119-3135.
  • Rimac, A., J.-S. von Storch and C. Eden, 2015: The total energy flux leaving the ocean's mixed layer. J. Phys. Oceanogr.  46, 1885-1900. DOI: 10.1175/JPO-D-15-0115.1.
  • Krismer, T. R., M. A. Giorgetta, J. S. von Storch, and I. Fast, 2015:   The Influence of the Spectral Truncation on the Simulation of Waves in the Tropical Stratosphere, Journal of the Atmospheric Sciences, 72, 3819-3828. doi:10.1175/JAS-D-14-0240.1
  • Corti,S., T. Palmer, M. Balmaseda1, A. Weisheimer, S. Drijfhout, N. Dunstone, W. Hazeleger, J. Kröger, H. Pohlmann, D. Smith, J.-S. von Storch and B. Wouters, 2015: Impact of initial conditions versus external forcing in decadal climate predictions: A sensitivity experiment. Journal of Climate, 28, 4454-4470.
  • Niklas Boers, Bodo Bookhagen, José A. Marengo, Jin-Song von Storch, Norbert Marwan, Jürgen Kurths, 2015: Extreme rainfall of the South American monsoon system: A dataset comparison using complex networks.  Journal of Climate, 28, 1031-1056.
  • Chuanyu Liu, Fan Wang, Xinping Chen; Jin-Song von Storch, 2014: Interannual variability of the Kuroshio onshore intrusion along the East China Sea shelf break: Effects of the Kuroshio volume transport. Journal of Geographical research: Ocean. DOI: 10.1002/2013JC009653. p6190-6209.
  • Hertwig, E., J.-S. von Storch, D. Handorf, K. Dethloff, I. Fast and T. Krismer, 2014: Effect of horizontal resplution on ECHAM6-AMI performance. Clin. Dyn. 45, 185-211.
  • Mueller, M. J.Y. Cherniawsky, M.G.G. Foreman, J.-S. von Storch, 2014: Seasonal variation of the M2 tide. Ocean Dynamics, DOI 10.1007/s10236-013-0679-0.
  • Rimac, A., J.-S. von Storch, C. Eden and H. Haak, 2013: The influence of high-resolution wind stress field on the power input to  near-inertial motions in the ocean.  Geophy. Res. Lett. 40, 1-5, doi:10.1002/grl.50929.
  • Exarchou, E., J.-S. von Storch and J.H. Jungclaus, 2013: Sensitivity of transient climate change to tidal mixing: Southern Ocean heat uptake in climate change experiments performed with MPI  ECHAM/MPIOM. Clim. Dyn., DOI:10.1007/s00382-013-1776-y.
  • Hazeleger, W., B. Wouters, G. van Oldenborgh, S. Corti, T. Palmer, D. Smith, N. Dunstone, J. Kroeger, H. Pohlmann, J.-S. von  Storch, 2013: Predicting multi-year North Atlantic Ocean
    variablity. J. Geophy. Res. - Oceans, 118, 1087-1098, doi:10.1002/jgrc.20117.
  • Li, H. and J.-S. von Storch, 2013: On the Fluctuations of Buoyancy Fluxes Simulated in a 1/10$^\circ$  OGCM. J. Phys. Oceanogr., 43, 1270-1287.
  • Exarchou, E., J.-S. von Storch and J.H. Jungclaus, 2012: Impact of tidal mixing with different scales of bottom roughness on the general circulation. Ocean Dynamics, 62, 1545-1563, doi:10.1007/s10236-012-0573-1.
  • von Storch, J.-S., C. Eden, I. Fast, H.  Haak, D. Hern\'andez-Deckers,  E.  Maier-Reimer, J. Marotzke, D. Stammer, 2012: An estimate of the Lorenz energy cycle for the world ocean based on the 1/10o STORM/NCEP simulation. J. Phys. Oceanogr. 42, 2185-2205.
  • Li, C., J.-S. von Storch, J. Marotzke, 2012: Deep-ocean heat  uptake and equilibrium climate response. Clim Dyn. DOI 10.1007/s00382-012-1350-z.
  • Müller, W. J. Baehr, H. Haak, J. Jungclaus, J. Kroeger, D. Matei, D. Notz, H. Pohlmann, J.-S. von Storch, J. Marotzke, 2012: Forecast skill of multi-year seasonal means in the decadal prediction system of the Max Planck Institute for Meteorology. Geophy. Res. Lett., 39, L22707, doi:1029/2012GL053326.
  • Jungclaus, J.H.,  N. Fischer, H. Haak , K. Lohmann, J. Marotzke, D. Matei, U. Mikolajewicz, D. Notz, J.-S. von Storch, 2012: Characteristics of the ocean simulations in MPIOM, the ocean component of the MPI-Earth System Model. Journal of Advances in Modeling Earth Systems, 5, 422-446, doi:10.1002/jame.20023.
  • Müller, M., J.Y. Cherniawsky, M.G.G. Foreman, J.-S. von Storch, 2012: Global M2 internal tide and its seasonal variability from high resolution ocean circulation and tide
    modeling. Geophy. Res. Lett., 39, L19607, doi:10.1029/2012GL053320.
  • Kröger, J., W. Müller and J.-S. von Storch, 2012, Impact of different ocean reanalyses on decadal climate prediction. Climate Dynamics, doi:10.1007/s00382-012-1310-7.
  • Hernández-Deckers, D., J.-S. von Storch, 2012: Impact of the warming pattern on global energetics. J. Climate. 25, 5223-5240.
  •  Hernández-Deckers, D. and J.-S. von Storch, 2011: The energetics response to a warmer climate: relative contribution from the transient and stationary eddies. Earth System Dynamics, 2, 105-120.
  • Krueger, O., J.-S. von Storch, 2011: A simple climate model for decadal climate prediction.  J. Climate, 24, 1276-1283.
  • J.-S. von Storch, 2010: Variations of vertical velocity in the deep oceans simulated by a 1/10$^\circ$ OGCM. Ocean Dynamics, 60, 759-770.
  • Hernández-Deckers, D., and J.-S. von Storch, 2010: Energetics responses to increases in greenhouse gas concentration. J. Climate,23,3875-3887.
  • Seiffert, R. and J.-S. von Storch, 2010: A stochastic analysis of the impact of small-scale fluctuations on tropospheric temperature response to CO2 doubling. J Climate, 23, 2307-2319.
  • Haerter, J. O. , E. Roeckner, L. Tomassini and J.-S. v. Storch, 2009: Parametric uncertainty of the aerosol radiative forcing.  Geophy. Res. Lett. 36, L15707, doi:10.1029/2009GL039050.
  • Balan Sarojini, B. and J.-S. von Storch, 2009: Effects of fluctuating daily surface fluxes on the time-mean oceanic circulation. Climate Dynamics, 33, 1-18. DOI: 10.1007/s00382-009-0575-y.
  • Seiffert, R. and J.-S. von Storch, 2008:  Impact of atmospheric small-scale fluctuations on climate sensitivity. Geophy. Res. Lett., 35, L01609,doi:10.1029/2007GL032385.
  • von Storch, J.-S. M. Botzet and I. Ehlert, 2008: What balances the decrease in net upward thermal radiation at the surface in climate change experiments? The Open Atmospheric Science Journal, 2, 79-90.
  • von Storch, J.-S., 2008: Towards climate prediction: Interannual potential predictability due to an increase in CO2 concentration as diagnosed from an ensemble of AO-GCM integrations. Journal of Climate, 21, 4607-4628.
  • von Storch, J.-S. and H. Haak, 2008: Impact of daily fluctuations on long-term predictability of the Atlantic meridional overturning circulation. Geophy. Res. Lett. 35, L01609, doi:10.1029/2007GL032385.
  • von Storch, J.-S., H. Sasaki, J. Marotzke, 2007:  Wind-generated Power Input to  the Deep Ocean:  an Estimate Using a 1/10 degree General Circulation Model. J. Phys. Oceanogr. 37, 657-672.
  • von Storch, J.-S., J. P. Montavez and B. Balan, 2005: EMAD: an empirical model of air-sea fluxes. Meteorol. Z., 14, 755-762.
  • Stenzel, O. J. and J.-S. von Storch, 2005: The effect of orography on the global AAM and the general circulation. Meteorologische Zeitschrift. Meteorol. Z. 14, 387-393.
  • von Storch, J.-S., 2004: On statistical dissipation in GCM-climate. Climate Dynamics Climate Dynamics, 23, 1-15
  • Stenzel, O.J. and J.-S. von Storch, 2004: On the effect of the thermal forcing on the global AAM and the general circulation. Climate Dynamics, 22, 415-427.
  • von Storch, J.-S., 2003: On the 3-dimensional oceanic density distribution in a millennium integration with an AO-GCM. Ocean Dynamics, 53, 11-20.
  • von Storch, J.-S., 2003: Progress in understanding momentum exchange process. Journal of Geodynamics, 36, 359-367.
  • von Storch, J.-S., 2001: How do surface torques affect the global atmospheric angular momenta? Journal of the Atmospheric Sciences, 58, 1995-1999.
  •  von Storch, J.-S., P. Müller und E. Bauer, 2001: Climate Variability in Millennium Integrations with Coupled Atmosphere-Ocean GCMs. A Spectral View. Climate Dynamics, 17, 375-389.
  • von Storch, J.-S., 2000: Angular momenta of the Antarctic and the Arctic Oscillations. Journal of Climate, 13, 681-685.
  • von Storch, J.-S., 2000: Signatures of air-sea interactions in a coupled atmosphere-ocean GCM. Journal of Climate, 13, 3361-3379.
  • von Storch, J.-S., P. Müller, R. J. Stouffer, R. Voss and S. F. B. Tett, 2000: Variability of deep-ocean mass transport: Spectral shapes and spatial scales. Journal of Climate, 13, 1916-1935.
  • Junge, M., J.-S. von Storch and J.M. Oberhuber, 2000: Large-scale variability of the main thermocline excited by stochastic wind forcing. Journal of Climate, 13, 2833-2840.
  • Covey, C., A. Abe-Ouchi, G. J. Boer, B. A. Boville, G.A. Meehl, U. Cubasch, E. Roeckner, H. Gorden, X. Jiang, R. Miller, G. Russell, T.C. Johns, H. L. Treut, L. Fairhead, G. Madec, A. Noda, S. B. Power, E. K. Schneider, R.J. Stouffer, J.-S. von Storch, 2000: The seasonal cycle in coupled ocean-atmosphere general circulation models. Climate Dynamics, 16/10-11, 775-787.
  • von Storch, J.-S., 1999: What determines the spectrum of a climate variable at zero frequency. Journal of Climate, 12, 2124-2127.
  •  von Storch, J.-S., 1999: On the reddest atmospheric modes and the forcings of the spectra of these modes. Journal of the Atmospheric Sciences, 56, 1614-1626.
  • von Storch, J.-S., 1998: Statistik und Konzepte der Klimavariabilität. Habilitations- schrift, Universität Hamburg.
  • von Storch, J.-S., Kharin, V., Cubasch, U., Hegerl, G.C., Schriever, D., von Storch, H., Zorita, E., 1997: A description of a 1260-year control integration with the coupled ECHAM1/LSG general circulation model. Journal of Climate, 10, 1526-1544.
  • von Storch, H., G. Bürger, R. Schnur and J.-S. von Storch, 1995: Principal Oscillation Patterns. Journal of Climate, 8, 377-400
  • von Storch, J.-S., 1994: Interdecadal variability in a global coupled model. - Tellus, 46A, 419-432.
  •  Tahvonen O., H. von Storch and J.-S. von Storch, 1994: Economic efficiency of CO2 reduction programs. Climate Research, 4, 127-141
  •  Latif, M, Barnett, T.P., Cane, M.A., Flügel, M., Graham, N.E., von Storch, H., Xu, J.-S., 1994: A review of ENSO prediction studies. Climate Dynamics, 9, 167-179
  • Xu, J.-S., 1993: Journal of Climate, 6, 816-838
  •  Xu, J.-S., 1992: On the relationship between the stratospheric quasi-biennial oscillation and the tropospheric Southern Oscillation. Journal of the Atmospheric Sciences, 49, 725-734.
  • Xu,J.-S., 1990: Analysis and Prediction of  El Ni\~no  Southern Oscillation Phenomenon  Using Principal Oscillation Pattern Analysis.  PhD thesis, University Hamburg
  •  Xu, J.-S. and H. von Storch, 1990: Predicting the state of the Southern Oscillation using Principal Oscillation Pattern Analysis. Journal of Climate, 3, 1316-1329.
  • von Storch, H. and J.-S. Xu 1990: Principal Oscillation Pattern analysis of the 30- to 60-day oscillation in the tropical troposphere. Climate Dynamics, 4, 175-190.
  • Xu, J.-S., H. von Storch and H. van Loon, 1990: TThe performance of four spectral GCMs in the Southern Hemisphere: The January and July Climatology and the semiannual wave. Journal of Climate, 3, 53-70.



  • Imkeller, P. and J.-S. von Storch, 2001: Proceedings of the workshop on stochastic climate models. Birkhäuser Verlag (ISBN 3-7643-6520).


Book Contributions


  • von Storch, J.-S., G. Badin and M. Oliver, 2017: The interior energy pathway: Inertial gravity wave emission by ocean flows. 34pp, tp appear in "Energy transfers in atmosphere and Ocean", A. Iske (ed.), Springer-Verlag
  • Mertens, C., J. Köhler, M. Walter, J.-S. von Storch and M. Rhein, 2017: Observations and models of low mode internal waves in the ocean. 17pp, To appear in "Energy transfers in atmosphere and Ocean", A. Iske (ed.), Springer-Verlag
  • von Storch, J.-S., 2001: Complex climate models. In P. Imkeller and J.-S. von Storch (Eds): Proceedings of the workshop on stochastic climate models. Birkhäuser Verlag (ISBN 3-7643-6520).
  • von Storch, H., J.-S. von Storch and P. Mueller, 2001: Noise in Climate - Ubiquitous, Constitutive and Concealing. In B. Engquist and W. Schmid (eds.): Mathematics Unlimited - 2001 and Beyond. Springer Verlag (ISBN 3-540-67099-8)
  • von Storch, J.-S., B. Wang and Z. Wang, 2001: The ENSO-Spectrum: A result of deterministic chaos or stochastic forcing? In Dynamics of Atmospheric and Oceanic Circulations and Climate, Ed. IAP/Academia, China Meteor. Press, Pp579-600.
  • von Storch, J.-S., 1999: Natural climate variability and concepts of natural climate variability. In Anthropogenic Climate Change, Eds. H. von Storch and G. Flöser, Springer Verlag, 1999, 83-135.
  • von Storch, J.-S., 1995: Multivariate statistical modeling: POP-Model as a first order approximation. - in H. von Storch and A. Navarra (Eds): Analysis of climate variability: Applications of statistical techniques, Springer Verlag, 281-298, (ISBN 3-540-58918-X). 2nd edition, 1999
  • Tahvonen O., H. von Storch and J.-S. von Storch, 1995: Atmospheric CO2 accumulation and problems in dynamically efficient emission abatement. G. Boero and Z.A. Silberston (ed.): Environmental Economics. St. Martin's Press ISBN 0-312-12579-8, 234-26


Other Publications

  • Reitz, T. and J.-S. von Storch, 2017: Oceanic internal waves internally generated in a 0.1o OGCM. In Research Activities in Atmospheric and Oceanic Modelling, WGNE Blue Book.
  • von Storch, J.-S., 2014:  Comment on 'Oceanic mass transport by mesoscale eddies' by Zhengguang Zhang, Wei Wang and Bo Qiu, Science 345, 322; DOI:10.1126/science.1252418:
  • Masumoto, Y., H. Sasaki, and J.S. von Storch, 2010: Editorial to OFES special issue of Ocean Dynamics. Ocean Dynamics, 60:631-632.
  • von Storch, J.-S., 2008: Interactive comment on ``On the diagnosis of climate sensitivity using observations of fluctuation'' by D. Kirk-Davidoff.  Interactive comment on Atmos. Chem. Phys. Discuss., 8, 12409.
  • Stenzel, Oliver ans J-S von Storch, 2002: Modelling of  Atmospheric Angular Momentum using a simple AGCM.  Ritchie (Ed.): Research activity in atmospheric and oceanic modeling. Rep. No. 32. WMO/ICSU/IOC Joint Scientific Committee for the World Climate Research Programme. WMO Commission for Atmospheric Sciences.
  • Montavez, J.P. and J.-S. von Storch, 2000:  An empirical model of atmospheric dynamics. Ritchie (Ed.): Research activity in atmospheric and oceanic modeling. WMO/ICSU/IOC Joint Scientific Committee for the World Climate Research Programme. WMO Commission for Atmospheric Sciences.
  • von Storch, J.-S., and P. Müller, 1998: Decadal variability in millennium integrations with coupled atmosphere-ocean general circulation models. In Holloway, G., P. Müller and D. Henderson (Eds): Biotic impacts of extratropical climate variability in the Pacific. Proceedings 'Aha Huliko'a Hawaiian Winter Workshop, University of Hawaii at Manoa, January 25-29, 1998; 37-50
  • J.-S. von Storch, 1998: Spectral features of variability of deep water masses. In Staniforth (Ed): ``Research activities in atmospheric and oceanic modeling''. Report No. 27. WMO Weather Prediction Research Programmes and WMO/ICSU/IOC World Climate Research Programme.
  • von Storch, J.-S. and E. Manzini, 1997: On the ability of a general circulation model to simulate two large-scale variations in the Southern Hemisphere. - in R.A. Madden, E.C. Stephens, J.W. Hurrell, G.N. Kiladis, G.A. Meehl and D.J. Shea (Eds): Harry van Loon Symposium, Studies in Climate II. NCAR/TN-433+PROC.
  • Kharin , V., and J.-S. von Storch, 1995: Analysis of variability in a 1260-year integration of a coupled atmosphere-ocean general circulation model. In Report No. 26, Center for Ocean-Land-Atmosphere Studies. 4041 Power Mill Road., Suite 302, Calverton, MD 20705.
  • von Storch, J.-S., 1995: On the reddest atmospheric modes generated by a coupled atmosphere-ocean general circulation model. In proceeding of the 6th International Meeting on Statistical Climatology.
  • von Storch, J.-S., 1995: On large-scale climate variability. In Report No. 26, Center for Ocean-Land-Atmosphere Studies. 4041 Power Mill Road., Suite 302, Calverton, MD 20705.
  • J.-S. von Storch, 1994: Interdecadal atmospheric variations in a  coupled GCM. In the preprint volume of the 6th conference on climate variations.  Published by the American Meteorological Society, Boston.
  • von Storch, H., G. Bürger; R. Schnur; J.-S. Xu, 1991: POP art.  - M. Latif (ed.): Strategies for Future Climate Research, Max Planck Institut für Meteorologie, Hamburg, 109- 136.
  • Xu, J.-S.; U. Mikolajewicz; H. von Storch, 1989: Die Halbjahreswelle  im Luftdruck auf der Südhalbkugel: Beobachtung und Simulation. - promet 1/2,  1989 42 -47.
  • Xu, J.S. and H. von Storch, 1989: Prediction of extremes of the Southern Oscillation with POP analysis. - Proc. 4IMSC, Rotorua, 102-109.
  • von Storch, H., U. Weese and J. S. Xu, 1989: Simultaneous analysis of space-time variability: Principal Oscillation Patterns and Principal Interaction Patterns with applications to the Southern Oscillation - Proc 4 IMSC, 41-45; also: MPI Report 34; Z. Meteor., 40 (1990), 99-103.
  • von Storch,H. and J.-S. Xu, 1987: Southern Hemisphere: Intercomparison with observed sea level pressure. - Climate simulations with the ECMWF T21-model in Hamburg. - G. Fischer (ed.): Large Scale Atmospheric Modelling Report 1, 57-74.



Other Responsibilities

Editor of Ocean Dynamics, since 2002

PI of the Cluster of Excellence CliSAP (Integrated Climate System Analysis and Prediction) of University Hamburg, since 2009

Editorial board of Oxford Research Encyclopedia, Climate Science, since 2015


Courses taught

  • Übung zur Theoretischen Meteorologie I 
  • Übung zur Theoretischen Meteorologie II 
  • Stochastic climate models (lecture given as visiting professor at University of Utrecht)
  • Statistische dynamische lineare Methode zur Beschreibung atmosphärischer Variabilität 
  • Diplomanden-/Doktorandinnenseminar (Seminar for graduate students):
    I. Möglichkeiten und Grenzen statistischer Verfahren
    II. Die Rolle von Modellen im Erkenntnisprozess 
    III. Wechselspiel zwischen realitätsnahen und idealisierten Modellen 
  • Physik des Klimas
  • Statistik
  • Statistical tools in modeling (for IMPRS graduate students)
  • Instroduction to statistical analysis (course given at SMHI)

She is married to Hans von Storch