List of publications that use FESOM or FESOM data


89. Wekerle C, Krumpen T, Dinter T, von Appen W-J, Iversen MH and Salter I (2018) Properties of Sediment Trap Catchment Areas in Fram Strait: Results From Lagrangian Modeling and Remote Sensing. Front. Mar. Sci. 5:407. doi: 10.3389/fmars.2018.00407

88. Wang, Q., C. Wekerle, S. Danilov, D. Sidorenko, N. Koldunov, D. Sein, B. Rabe, and T. Jung, (2018): Recent sea ice decline did not significantly increase the total liquid freshwater content of the Arctic Ocean. Journal of Climate,

87. Richter, M. E., von Appen, W.-J., and Wekerle, C.: Does the East Greenland Current exist in the northern Fram Strait?, Ocean Sci., 14, 1147-1165,, 2018.

86. Schourup-Kristensen, V., Wekerle, C., Wolf-Gladrow, D. A., & Völker, C. (2018). Arctic Ocean biogeochemistry in the high resolution FESOM 1.4-REcoM2 model. Progress in Oceanography.

85. Sidorenko D., N. Koldunov, Q. Wang, S. Danilov, H. F. Goessling, O. Gurses, P. Scholz, D. V. Sein, E. Volodin, C. Wekerle, T. Jung (2018). Influence of a salt plume parameterization in a coupled climate model. Journal of Advances in Modeling Earth Systems, 10.

84. Sein, D. V., Koldunov, N. V., Danilov, S., Sidorenko, D., Wekerle, C., Cabos, W., Rackow T., Scholz P.,   Semmler T., Wang Q., Jung T. (2018). The relative influence of atmospheric and oceanic model resolution on the circulation of the North Atlantic Ocean in a coupled climate model. Journal of Advances in Modeling Earth Systems, 10.

83. Naughten, K. A., Meissner, K. J., Galton-Fenzi, B. K., England, M. H., Timmermann, R., & Hellmer, H. H. (2018). Future projections of Antarctic ice shelf melting based on CMIP5 scenarios. Journal of Climate, (2018).

82. Wang Q., C. Wekerle, S. Danilov, N.V. Koldunov, D. Sidorenko, D.V. Sein, B. Rabe, and T. Jung. (2018), Arctic Sea Ice Decline Significantly Contributed to the Unprecedented Liquid Freshwater Accumulation in the Beaufort Gyre of the Arctic Ocean, Geophys. Res. Lett., 45.

81. Naughten, K. A., Meissner, K. J., Galton-Fenzi, B. K., England, M. H., Timmermann, R., Hellmer, H. H., Hattermann, T., and Debernard, J. B.: Intercomparison of Antarctic ice-shelf, ocean, and sea-ice interactions simulated by MetROMS-iceshelf and FESOM 1.4, Geosci. Model Dev., 11, 1257-1292,, 2018.

80. Wang, Q., Wekerle, C., Danilov, S., Wang, X., and Jung, T.: A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM 1.4, Geosci. Model Dev., 11, 1229-1255,, 2018.

79. S.M. Downes, P. Spence, A.M. Hogg, Understanding variability of the Southern Ocean overturning circulation in CORE-II models, Ocean Modelling, Available online 31 January 2018, ISSN 1463-5003,

78. Arne Biastoch, Dmitry Sein, Jonathan V. Durgadoo, Qiang Wang, Sergey Danilov, Simulating the Agulhas system in global ocean models – nesting vs. multi-resolution unstructured meshes, Ocean Modelling, Volume 121, January 2018, Pages 117-131, ISSN 1463-5003, doi: 10.1016/j.ocemod.2017.12.002.


77. Sein, D. V., Koldunov, N. V., Danilov, S., Wang, Q., Sidorenko, D., Fast, I., Rackow, T., Cabos, W. and Jung, T. (2017), Ocean Modeling on A Mesh with Resolution Following the Local Rossby Radius. Journal of Advances in Modeling Earth Systems, 9, 2601–2614. doi:10.1002/2017MS001099

76. Wekerle, C., Wang, Q., von Appen, W.-J., Danilov, S., Schourup-Kristensen, V. and Jung, T. (2017), Eddy-Resolving Simulation of the Atlantic Water Circulation in the Fram Strait With Focus on the Seasonal Cycle. Journal of Geophysical Research: Oceans, 122, 8385–8405. doi:10.1002/2017JC012974

75. Timmermann, R. and Goeller, S.: Response to Filchner–Ronne Ice Shelf cavity warming in a coupled ocean–ice sheet model – Part 1: The ocean perspective, Ocean Sci., 13, 765-776,, 2017.

74. Xiaoxu Shi, Gerrit Lohmann, Sensitivity of open-water ice growth and ice concentration evolution in a coupled atmosphere-ocean-sea ice model, In Dynamics of Atmospheres and Oceans, Volume 79, 2017, Pages 10-30, ISSN 0377-0265,doi:10.1016/j.dynatmoce.2017.05.003.

73. Nachtsheim, D. A., Jerosch, K., Hagen, W., Plötz, J., & Bornemann, H. (2017). Habitat modelling of crabeater seals (Lobodon carcinophaga) in the Weddell Sea using the multivariate approach Maxent. Polar Biology, 40(5), 961-976.

72. Wekerle, C., Q. Wang, S. Danilov, V. Schourup-Kristensen, W.-J. von Appen, and T. Jung (2017), Atlantic Water in the Nordic Seas: Locally eddy-permitting ocean simulation in a global setup, J. Geophys. Res. Oceans, 122, 914–940, doi:10.1002/2016JC012121.

71. Rackow, T., Wesche, C., Timmermann, R., Hellmer, H. H., Juricke, S., & Jung, T. (2017). A simulation of small to giant Antarctic iceberg evolution: Differential impact on climatology estimatesJournal of Geophysical Research: Oceans.

70. Danilov, S., Sidorenko, D., Wang, Q., & Jung, T. (2017). The Finite-volumE Sea ice-Ocean Model (FESOM2)Geoscientific Model Development10(2), 765.


69. Ionita, M. , Scholz, P. , Lohmann, G. , Dima, M. and Prange, M. (2016) Linkages between atmospheric blocking, sea ice export through Fram Strait and the Atlantic Meridional Overturning Circulation, Nature Scientific Reports, 6 (32881). doi:10.1038/srep32881

68. Wang, Q., Danilov, S., Jung, T., Kaleschke, L., & Wernecke, A. (2016). Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends. Geophysical Research Letters43(13), 7019-7027.

67. Rackow, T., Goessling, H. F., Jung, T., Sidorenko, D., Semmler, T., Barbi, D., & Handorf, D. (2016). Towards multi-resolution global climate modeling with ECHAM6-FESOM. Part II: climate variability. Climate Dynamics, 1-26.

66. Shi, X., & Lohmann, G. (2016). Simulated response of the mid‐Holocene Atlantic meridional overturning circulation in ECHAM6‐FESOM/MPIOM. Journal of Geophysical Research: Oceans121(8), 6444-6469.

65. Mengel, M., Feldmann, J., & Levermann, A. (2016). Linear sea-level response to abrupt ocean warming of major West Antarctic ice basin. Nature Climate Change6(1), 71-74.

64. Danabasoglu, G., Yeager, S. G., Kim, W. M., Behrens, E., Bentsen, M., Bi, D., ... & Canuto, V. M. (2016). North Atlantic simulations in Coordinated Ocean-ice Reference Experiments phase II (CORE-II). Part II: Inter-annual to decadal variability. Ocean Modelling97, 65-90.

63. Wang, Q., et al., An assessment of the Arctic Ocean in a suite of interannual CORE-II simulations. Part I: Sea ice and solid freshwater, Ocean Modelling, Volume 99, March 2016, Pages 110-132, ISSN 1463-5003,

62. Wang, Q., Ilicak, M., Gerdes, R., Drange, H., Aksenov, Y., Bailey, D. A., ... & Cassou, C. (2016). An assessment of the Arctic Ocean in a suite of interannual CORE-II simulations. Part II: Liquid freshwater. Ocean Modelling99, 86-109,

61. Ilıcak, M. et al., An assessment of the Arctic Ocean in a suite of interannual CORE-II simulations. Part III: Hydrography and fluxes, Ocean Modelling, Volume 100, April 2016, Pages 141-161, ISSN 1463-5003,

60. Tseng Y. et al., North and equatorial Pacific Ocean circulation in the CORE-II hindcast simulations, Ocean Modelling, Volume 104, August 2016, Pages 143-170, ISSN 1463-5003,

59. Sein, D. V., Danilov, S., Biastoch, A., Durgadoo, J. V., Sidorenko, D., Harig, S., & Wang, Q. (2016). Designing variable ocean model resolution based on the observed ocean variability. Journal of Advances in Modeling Earth Systems8(2), 904-916.

58. Goessling, H. F., S. Tietsche, J. J. Day, E. Hawkins, and T. Jung (2016), Predictability of the Arctic sea ice edge, Geophys. Res. Lett., 43, 1642–1650, doi:10.1002/2015GL067232.

57. 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.: The Arctic Predictability and Prediction on Seasonal-to-Interannual TimEscales (APPOSITE) data set version 1, Geosci. Model Dev., 9, 2255-2270,, 2016.

56. Semmler, T., Stulic, L., Jung, T., Tilinina, N., Campos, C., Gulev, S. and Koracin, D., 2016. Seasonal atmospheric responses to reduced Arctic sea ice in an ensemble of coupled model simulations. Journal of Climate, 29(16), pp.5893-5913.


55. Haid, V., Timmermann, R., Ebner, L., and Heinemann, G.: Atmospheric forcing of coastal polynyas in the south-western Weddell Sea, Antarctic Science, 27, 388–402, 2015.

54. Sidorenko, D., Rackow, T., Jung, T., Semmler, T., Barbi ,D., Danilov, S., Dethloff ,K., Dorn, W., Fieg, K., Goessling, H. F., Handorf, D., Harig, S.,  Hiller, W.,  Juricke, S., Losch, M.,  Schröter, J.,  Sein,  D. V., Wang, Q., (2015). Towards multi-resolution global climate modeling with ECHAM6–FESOM. Part I: model formulation and mean climate. Climate Dynamics44(3-4), 757-780.

53. Downes, S. M., Farneti, R., Uotila, P., Griffies, S. M., Marsland, S. J., Bailey, D., ... & Böning, C. (2015). An assessment of Southern Ocean water masses and sea ice during 1988–2007 in a suite of interannual CORE-II simulationsOcean Modelling94, 67-94.

52. van Caspel, M. R., Absy, J. M., Wang, Q., Hellmer, H. H., & Schröder, M. (2015). The flow of dense water plumes in the western Weddell Sea simulated with the Finite Element Ocean Model (FEOM). In Towards an interdisciplinary approach in earth system science (pp. 125-129). Springer International Publishing.

51. Danilov, S., Wang, Q., Timmermann, R., Iakovlev, N., Sidorenko, D., Kimmritz, M., Jung, T., and Schröter, J.: Finite-Element Sea Ice Model (FESIM), version 2, Geosci. Model Dev., 8, 1747-1761,, 2015.

50. Riccardo Farneti, et al., An assessment of Antarctic Circumpolar Current and Southern Ocean meridional overturning circulation during 1958–2007 in a suite of interannual CORE-II simulations, Ocean Modelling, Volume 93, September 2015, Pages 84-120, ISSN 1463-5003,

49. Rietbroek, R., Brunnabend, S. E., Kusche, J., Schröter, J., & Dahle, C. (2016). Revisiting the contemporary sea-level budget on global and regional scales. Proceedings of the National Academy of Sciences, 113(6), 1504-1509. doi: 10.1073/pnas.1519132113


48. Jung, T., Serrar, S., & Wang, Q. (2014). The oceanic response to mesoscale atmospheric forcing. Geophysical Research Letters41(4), 1255-1260.

47. Nakayama, Y., Timmermann, R., Schröder, M., and Hellmer, H. H.: On the difficulty of modeling Circumpolar Deep Water intrusions onto the Amundsen Sea continental shelf, Ocean Modell., 84, 26–34, 2014.

46. Nakayama, Y., Timmermann, R., Rodehacke, C. B., Schröder, M., & Hellmer, H. H. (2014). Modeling the spreading of glacial meltwater from the Amundsen and Bellingshausen Seas. Geophysical Research Letters41(22), 7942-7949.

45. Scholz, P. , Kieke, D. , Lohmann, G. , Ionita, M. and Rhein, M. (2014) Evaluation of Labrador Sea water formation in a global finite-element sea-ice ocean model setup based on a comparison with observational data, Journal of Geophysical Research: Oceans doi:10.1002/2013JC009232

44. Wang, Q., Danilov, S., Sidorenko, D., Timmermann, R., Wekerle, C., Wang, X., ... & Schröter, J. (2014). The Finite Element Sea Ice-Ocean Model (FESOM) v. 1.4: formulation of an ocean general circulation model. Geoscientific Model Development7(2), 663-693.

43. Schourup-Kristensen, V., Sidorenko, D., Wolf-Gladrow, D. A., & Völker, C. (2014). A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3). Geoscientific Model Development7(6), 2769-2802.

42. Rietbroek, Roelof, Mathias Fritsche, Christoph Dahle, Sandra-Esther Brunnabend, Madlen Behnisch, Jürgen Kusche, Frank Flechtner, Jens Schröter, and Reinhard Dietrich. "Can GPS-derived surface loading bridge a GRACE mission gap?." Surveys in Geophysics 35, no. 6 (2014): 1267-1283.

41. Gong, Y., Cornford, S. L., & Payne, A. J. (2014). Modelling the response of the Lambert Glacier–Amery Ice Shelf system, East Antarctica, to uncertain climate forcing over the 21st and 22nd centuries. The Cryosphere8(3), 1057-1068.

40. Juricke, S., Goessling, H. F., & Jung, T. (2014). Potential sea ice predictability and the role of stochastic sea ice strength perturbations. Geophysical Research Letters41(23), 8396-8403.

39. Danabasoglu, G., Yeager, S. G., Bailey, D., Behrens, E., Bentsen, M., Bi, D., ... & Cassou, C. (2014). North Atlantic simulations in coordinated ocean-ice reference experiments phase II (CORE-II). Part I: mean states. Ocean Modelling73, 76-107.

38. Stephen M. Griffies et al., An assessment of global and regional sea level for years 1993–2007 in a suite of interannual CORE-II simulations, Ocean Modelling, Volume 78, June 2014, Pages 35-89, ISSN 1463-5003, .

37. Juricke, S., & Jung, T. (2014). Influence of stochastic sea ice parametrization on climate and the role of atmosphere–sea ice–ocean interaction. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences372(2018), 20130283.


36. Scholz, P., Lohmann, G., Wang, Q., & Danilov, S. (2013). Evaluation of a Finite-Element Sea-Ice Ocean Model (FESOM) set-up to study the interannual to decadal variability in the deep-water formation rates. Ocean Dynamics63(4), 347-370.

35. Castro de la Guardia, L., Derocher, A. E., Myers, P. G., Terwisscha van Scheltinga, A. D., & Lunn, N. J. (2013). Future sea ice conditions in Western Hudson Bay and consequences for polar bears in the 21st century. Global Change Biology19(9), 2675-2687.

34. Haid, V., & Timmermann, R. (2013). Simulated heat flux and sea ice production at coastal polynyas in the southwestern Weddell Sea. Journal of Geophysical Research: Oceans118(5), 2640-2652.

33. Timmermann, R., & Hellmer, H. H. (2013). Southern Ocean warming and increased ice shelf basal melting in the twenty-first and twenty-second centuries based on coupled ice-ocean finite-element modelling. Ocean Dynamics63(9-10), 1011-1026.

32. Wekerle, C., Wang, Q., Danilov, S., Jung, T., & Schröter, J. (2013). The Canadian Arctic Archipelago throughflow in a multiresolution global model: Model assessment and the driving mechanism of interannual variability. Journal of Geophysical Research: Oceans118(9), 4525-4541.

31. Juricke, S., Lemke, P., Timmermann, R., & Rackow, T. (2013). Effects of stochastic ice strength perturbation on Arctic finite element sea ice modeling. Journal of Climate26(11), 3785-3802.

30. Danilov, S. (2013). Ocean modeling on unstructured meshes. Ocean Modelling69, 195-210.


29. Hellmer, H. H., Kauker, F., Timmermann, R., Determann, J., and Rae, J.: Twenty-first-century warming of a large Antarctic ice- shelf cavity by a redirected coastal current, Nature, 485, 225–228, 2012.

28. Janjić, T., Schröter, J., Savcenko, R., Bosch, W., Albertella, A., Rummel, R., Klatt, O. (2012). Impact of combining GRACE and GOCE gravity data on ocean circulation estimates. Ocean Science, 8, 65-79  doi:10.5194/os-8-65-2012.

27. Janjić, T., Schröter, J., Albertella, A., Bosch, W., Rummel, R., Savcenko, R., Schwabe, J., Scheinert, M. (2012). Assimilation of geodetic dynamic ocean topography using ensemble based Kalman filter. Journal of Geodynamics, 59-60, pp. 92-98  doi:10.5194/os-8-65-2012.

26. Wang, X., Wang, Q., Sidorenko, D., Danilov, S., Schröter, J., & Jung, T. (2012). Long-term ocean simulations in FESOM: evaluation and application in studying the impact of Greenland Ice Sheet melting. Ocean Dynamics62(10-12), 1471-1486.

25. Timmermann, R., Wang, Q., & Hellmer, H. H. (2012). Ice-shelf basal melting in a global finite-element sea-ice/ice-shelf/ocean model. Annals of Glaciology53(60), 303-314.

24. Wang, Q., Danilov, S., Fahrbach, E., Schröter, J., & Jung, T. (2012). On the impact of wind forcing on the seasonal variability of Weddell Sea Bottom Water transport. Geophysical Research Letters39(6).

23. Danilov, S. (2012). Two finite-volume unstructured mesh models for large-scale ocean modeling. Ocean Modelling47, 14-25.


22. Janjić, T., Nerger, L., Albertella, A., Schröter, J., Skachko, S. (2011). On domain localization in ensemble based Kalman filter algorithms. Monthly Weather Review, 139, 2046-2060  doi:10.1175/2011MWR3552.1.

21. Sidorenko, D., Wang, Q., Danilov, S., & Schröter, J. (2011). FESOM under coordinated ocean-ice reference experiment forcing. Ocean Dynamics61(7), 881-890.

20. Ernsdorf, T., Schröder, D., Adams, S., Heinemann, G., Timmermann, R., & Danilov, S. (2011). Impact of atmospheric forcing data on simulations of the Laptev Sea polynya dynamics using the sea‐ice ocean model FESOM. Journal of Geophysical Research: Oceans116(C12).

19. Adams, S., Willmes, S., Heinemann, G., Rozman, P., Timmermann, R., & Schröder, D. (2011). Evaluation of simulated sea-ice concentrations from sea-ice/ocean models using satellite data and polynya classification methods. Polar Research30(1), 7124.


18. Terwisscha van Scheltinga, A., P. G. Myers, and J. D. Pietrzak (2010), A finite element sea ice model of the Canadian Arctic Archipelago, Ocean Dyn., 60(6), 1539–1558, doi:10.1007/s10236-010-0356-5.

17. Böning, C., Timmermann, R., Danilov, S., & Schröter, J. (2010). Antarctic circumpolar current transport variability in GRACE gravity solutions and numerical ocean model simulations. In System Earth via Geodetic-Geophysical Space Techniques (pp. 187-199). Springer Berlin Heidelberg.

16. Jansen, M. J. F., B. C. Gunter, R. Rietbroek, C. Dahle, J. Kusche, F. Flechtner, S-E. Brunnabend, and J. Schröter. "Estimating sub-monthly global mass transport signals using grace, gps and obp data sets." In Gravity, Geoid and Earth Observation, pp. 587-593. Springer Berlin Heidelberg, 2010.

15. Wang, Q., Danilov, S., Hellmer, H. H., & Schröter, J. (2010). Overflow dynamics and bottom water formation in the western Ross Sea: Influence of tides. Journal of Geophysical Research: Oceans115(C10).

14. Danilov, S., & Schröter, J. (2010). Unstructured meshes in large-scale ocean modeling. In Handbook of Geomathematics (pp. 371-398). Springer Berlin Heidelberg.


13. Rietbroek, R., Brunnabend, S. E., Dahle, C., Kusche, J., Flechtner, F., Schröter, J., & Timmermann, R. (2009). Changes in total ocean mass derived from GRACE, GPS, and ocean modeling with weekly resolution. Journal of Geophysical Research: Oceans114(C11).

12. Wang, Q., Danilov, S., & Schröter, J. (2009). Bottom water formation in the southern Weddell Sea and the influence of submarine ridges: Idealized numerical simulations. Ocean Modelling28(1), 50-59.

11. Sidorenko, D., Danilov, S., Wang, Q., Huerta-Casas, A., & Schröter, J. (2009). On computing transports in finite-element models. Ocean Modelling28(1), 60-65.

10. Ralph Timmermann, Sergey Danilov, Jens Schröter, Carmen Böning, Dmitry Sidorenko, Katja Rollenhagen, Ocean circulation and sea ice distribution in a finite element global sea ice–ocean model, Ocean Modelling, Volume 27, Issue 3, 2009, Pages 114-129, ISSN 1463-5003,


9. Wang, Q., Danilov, S., & Schröter, J. (2008). Finite element ocean circulation model based on triangular prismatic elements, with application in studying the effect of topography representation. Journal of Geophysical Research: Oceans, 113(C5). DOI: 10.1029/2007JC004482

8. Böning, C., Timmermann, R., Macrander, A., & Schröter, J. (2008). A pattern‐filtering method for the determination of ocean bottom pressure anomalies from GRACE solutions. Geophysical Research Letters35(18).

7. Wang, Q., Danilov, S., & Schröter, J. (2008). Comparison of overflow simulations on different vertical grids using the finite element ocean circulation model. Ocean Modelling20(4), 313-335.

6. Danilov, S., Wang, Q., Losch, M., Sidorenko, D., & Schröter, J. (2008). Modeling ocean circulation on unstructured meshes: comparison of two horizontal discretizations. Ocean Dynamics58(5), 365-374.

5. Skachko, S., Danilov, S., Janjić, T., Schröter, J., Sidorenko, D., Savcenko, R., & Bosch, W. (2008). Sequential assimilation of multi-mission dynamical topography into a global finite-element ocean model. Ocean Science4(4), 307-318.

4. Maßmann, S., Androsov, A., & Danilov, S. (2010). Intercomparison between finite element and finite volume approaches to model North Sea tides. Continental Shelf Research30(6), 680-691.


3. Nerger, L., Danilov, S., Kivman, G., Hiller, W., Schröter, J.(2007). Data assimilation with the Ensemble Kalman Filter and the SEIK filter applied to a finite element model of the North Atlantic, Journal of Marine Systems, 65(1/4), 288-298.,  doi:10.1016/j.jmarsys.2005.06.009.


2. Nerger, L., Danilov, S., Hiller, W., Schröter, J.(2006). Using sea-level data to constrain a finite-element primitive-equation ocean model with a local SEIK filter, Ocean Dynamics, 56(5/6), 634-649.,  doi:10.1007/s10236-006-0083-0.


1. Danilov, S., Kivman, G., & Schröter, J. (2004). A finite-element ocean model: principles and evaluation. Ocean Modelling, 6(2), 125-150.