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Jan Saynisch-Wagner
Jan Saynisch-Wagner
Other namesJan Saynisch
Head of Research Group: Data Assimilation and Inverse Sensitivities
Verified email at gfz-potsdam.de - Homepage
Title
Cited by
Cited by
Year
GEROS-ISS: GNSS reflectometry, radio occultation, and scatterometry onboard the international space station
J Wickert, E Cardellach, M Martín-Neira, J Bandeiras, L Bertino, ...
IEEE Journal of selected topics in applied Earth observations and Remote …, 2016
1542016
Towards neural Earth system modelling by integrating artificial intelligence in Earth system science
C Irrgang, N Boers, M Sonnewald, EA Barnes, C Kadow, J Staneva, ...
Nature Machine Intelligence 3 (8), 667-674, 2021
1362021
A phase-altimetric simulator: Studying the sensitivity of Earth-reflected GNSS signals to ocean topography
AM Semmling, V Leister, J Saynisch, F Zus, S Heise, J Wickert
IEEE Transactions on Geoscience and Remote Sensing 54 (11), 6791-6802, 2016
672016
Impact of oceanic warming on electromagnetic oceanic tidal signals: A CMIP5 climate model‐based sensitivity study
J Saynisch, J Petereit, C Irrgang, M Thomas
Geophysical Research Letters 44 (10), 4994-5000, 2017
282017
Impact of climate variability on the tidal oceanic magnetic signal—A model‐based sensitivity study
J Saynisch, J Petereit, C Irrgang, A Kuvshinov, M Thomas
Journal of Geophysical Research: Oceans 121 (8), 5931-5941, 2016
272016
Impact of variable seawater conductivity on motional induction simulated with an ocean general circulation model
C Irrgang, J Saynisch, M Thomas
Ocean Science 12 (1), 129-136, 2016
272016
Utilizing oceanic electromagnetic induction to constrain an ocean general circulation model: A data assimilation twin experiment
C Irrgang, J Saynisch, M Thomas
Journal of Advances in Modeling Earth Systems 9 (3), 1703-1720, 2017
252017
Estimating global ocean heat content from tidal magnetic satellite observations
C Irrgang, J Saynisch, M Thomas
Scientific Reports 9 (1), 7893, 2019
232019
Potential of space-borne GNSS reflectometry to constrain simulations of the ocean circulation: A case study for the South African current system
J Saynisch, M Semmling, J Wickert, M Thomas
Ocean Dynamics 65, 1441-1460, 2015
212015
Ensemble simulations of the magnetic field induced by global ocean circulation: Estimating the uncertainty
C Irrgang, J Saynisch, M Thomas
Journal of Geophysical Research: Oceans 121 (3), 1866-1880, 2016
172016
Self‐validating deep learning for recovering terrestrial water storage from gravity and altimetry measurements
C Irrgang, J Saynisch‐Wagner, R Dill, E Boergens, M Thomas
Geophysical Research Letters 47 (17), e2020GL089258, 2020
142020
Modelling of electromagnetic signatures of global ocean circulation: physical approximations and numerical issues
L Šachl, Z Martinec, J Velímský, C Irrgang, J Petereit, J Saynisch, ...
Earth, Planets and Space 71, 1-13, 2019
142019
Machine learning‐based prediction of spatiotemporal uncertainties in global wind velocity reanalyses
C Irrgang, J Saynisch‐Wagner, M Thomas
Journal of Advances in Modeling Earth Systems 12 (5), e2019MS001876, 2020
132020
Assimilation of GRACE-derived oceanic mass distributions with a global ocean circulation model
J Saynisch, I Bergmann-Wolf, M Thomas
Journal of Geodesy 89, 121-139, 2015
122015
A conceptual ENSO model under realistic noise forcing
J Saynisch, J Kurths, D Maraun
Nonlinear Processes in Geophysics 13 (3), 275-285, 2006
122006
Kalmag: a high spatio-temporal model of the geomagnetic field
B Julien, H Matthias, J Saynisch-Wagner, M Thomas
Earth, Planets and Space 74 (1), 139, 2022
112022
Electromagnetic characteristics of ENSO
J Petereit, J Saynisch, C Irrgang, T Weber, M Thomas
Ocean Science 14 (3), 515-524, 2018
112018
Depth of origin of ocean-circulation-induced magnetic signals
C Irrgang, J Saynisch-Wagner, M Thomas
Annales Geophysicae 36 (1), 167-180, 2018
112018
Ensemble Kalman-Filtering of Earth rotation observations with a global ocean model
J Saynisch, M Thomas
Journal of Geodynamics 62, 24-29, 2012
112012
Will artificial intelligence supersede earth system and climate models?
C Irrgang, N Boers, M Sonnewald, EA Barnes, C Kadow, J Staneva, ...
arXiv preprint arXiv:2101.09126, 2021
102021
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