J. Bernales, I. Rogozhina, and M. Thomas. Melting and freezing under antarctic ice shelves from a combination of ice-sheet modelling and observations. J. Glaciology, 63(240):731–744, 2017.
R. Dill, V. Klemann, Z. Martinec, and M. Tesauro. Applying local green’s func- tions to study the influence of the crustal structure on hydrological loading displacements. J. Geodyn., 88(Supplement C):14–22, 2015.
H. Dobslaw, I. Bergmann-Wolf, E. Forootan, C. Dahle, T. Mayer-Gürr, J. Kusche, and F. Flechtner. Modeling of present-day atmosphere and ocean non-tidal de-aliasing errors for future gravity mission simulations. J. Geodesy, 90(5): 423–436, 2016.
C. Irrgang, J. Saynisch, and M. Thomas. Utilizing oceanic electromagnetic induction to constrain an ocean general circulation model: A data assimilation twin experiment. J. Adv. Model. Earth Sys., 9(3):1703–1720, 2017.
C. Irrgang, J. Saynisch, and M. Thomas. Ensemble simulations of the magnetic field induced by global ocean circulation: Estimating the uncertainty. J. Geophys. Res, 121(3):1866–1880, 2016.
L. J. Neef and K. Matthes. Comparison of Earth rotation excitation in data- constrained and unconstrained atmosphere models. J. Geophys. Res., 117 (D02107):1–17, 2012.
L. Nerger, W. Hiller, and J. Schr ̈oter. A comparison of error subspace Kalman filters. Tellus Ser. A: Dyn. Meteorol. Oceanol., 57(5):715–735, 2005.
L. Sachl, Z. Martinec, J. Velimsk, A. Grayver, C. Irrgang, A. Kuvshinov, J. Pe- tereit, J. Saynisch, D. Einspigel, and N. R. Schnepf. Benchmark study of global EM induction codes forced by ocean circulation electric currents. Geo- phys. J. Int., submitted:1–19, 2017.
J. Saynisch and M. Thomas. Ensemble Kalman-Filtering of Earth rotation observations with a global ocean model. J. Geodyn., 62:24–29, 2012.
J. Saynisch, M. Wenzel, and J. Schr ̈oter. Assimilation of Earth rotation param- eters into a global ocean model: length of day excitation. J. Geodesy, 85(2): 67–73, 2011a.
J. Saynisch, M. Wenzel, and J. Schr ̈oter. Assimilation of Earth rotation pa- rameters into a global ocean model: excitation of polar motion. Nonlinear Process. Geophys., 18(5):581–585, 2011b.
J. Saynisch, I. Bergmann-Wolf, and M. Thomas. Assimilation of GRACE de- rived oceanic mass distributions with a global ocean circulation model. J. Geodesy, 89(2):121–139, 2015.
J. Saynisch, J. Petereit, C. Irrgang, and M. Thomas. Impact of oceanic warm- ing on electromagnetic oceanic tidal signals: A CMIP5 climate model-based sensitivity study. Geophys. Res. Lett., 44(10):4994–5000, 2017.
J. Saynisch, M. Semmling, J. Wickert, and M. Thomas. Potential of space-borne GNSS reflectometry to constrain simulations of the ocean circulation. Ocean Dyn., 65(11):1441–1460, 2015.
A. M. Semmling, V. Leister, J. Saynisch, F. Zus, S. Heise, and J. Wickert. A Phase-Altimetric Simulator: Studying the Sensitivity of Earth-Reflected GNSS Signals to Ocean Topography. IEEE Trans. Geosci. Remote Sensing, 54(11):6791–6802, 2016.
Jens Wickert, Estel Cardellach, Manuel Martin-Neira, Jorge Bandeiras, Laurent Bertino, Ole Baltazar Andersen, Adriano Camps, Nuno Catarino, Bertrand Chapron, Fran Fabra, Nicolas Floury, Giuseppe Foti, Christine Gommengin- ger, Jason Hatton, Per Hoeg, Adrian Jaggi, Michael Kern, Tong Lee, Zhijin Li, Hyuk Park, Nazzareno Pierdicca, Gerhard Ressler, Antonio Rius, Josep Rosello, Jan Saynisch, Francois Soulat, C. K. Shum, Maximilian Semmling, Ana Sousa, Jiping Xie, and Cinzia Zuffada. GEROS-ISS: GNSS REflectome- try, Radio Occultation, and Scatterometry Onboard the International Space Station. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 9(10, SI): 4552–4581, 2016.
L. Zhang, H. Dobslaw, T. Stacke, A. Güntner, R. Dill, and M. Thomas. Vali- dation of terrestrial water storage variations as simulated by different global numerical models with grace satellite observations. Hydrol. Earth Syst. Sci., 21(2):821–837, 2017.