I agree that this site is using cookies. You can find further informations here.
X
Junyang Gou
29  results:
?
1

Assessment of length-of-day and universal time predictions ..:

Śliwińska-Bronowicz, Justyna ; Kur, Tomasz ; Wińska, Małgorzata...
Journal of Geodesy.  98 (2024)  3 - p. , 2024
Link: https://doi.org/10.1007/..
 
?
2

Findings on celestial pole offsets predictions in the secon..:

Wińska, Małgorzata ; Kur, Tomasz ; Śliwińska-Bronowicz, Justyna...
Earth, Planets and Space.  76 (2024)  1 - p. , 2024
Link: https://doi.org/10.1186/..
 
?
3

Global high-resolution total water storage anomalies from s..:

Gou, Junyang ; Soja, Benedikt
Nature Water.  2 (2024)  2 - p. 139-150 , 2024
Link: https://doi.org/10.1038/..
 
?
4

Ultra-short-term prediction of LOD using LSTM neural networ..:

Gou, Junyang ; Kiani Shahvandi, Mostafa ; Hohensinn, Roland.
Journal of Geodesy.  97 (2023)  5 - p. , 2023
Link: https://doi.org/10.1007/..
 
?
5

Modeling the Differences between Ultra-Rapid and Final Orbi..:

Gou, Junyang ; Rösch, Christine ; Shehaj, Endrit...
Remote Sensing.  15 (2023)  23 - p. 5585 , 2023
Link: https://doi.org/10.3390/..
 
?
6

Data Driven Approaches for the Prediction of Earth's Effect..:

, In: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium,
Shahvandi, Mostafa Kiani ; Gou, Junyang ; Schartner, Matthias. - p. 6550-6553 , 2022
Link: https://doi.org/10.1109/..
 
?
7

RiwiSAR-SWH: A data-driven method for estimating significan..:

Gou, Junyang ; Tourian, Mohammad J.
Advances in Space Research.  69 (2022)  5 - p. 2061-2080 , 2022
Link: https://doi.org/10.1016/..
 
?
8

Modeling the Differences between Ultra-Rapid and Final Orbi..:

Junyang Gou ; Christine Rösch ; Endrit Shehaj...
https://www.mdpi.com/2072-4292/15/23/5585.  , 2023
Link: https://doi.org/10.3390/..
 
?
9

Modeling the Differences between Ultra-Rapid and Final Orbi..:

Gou, Junyang ; id_orcid:0 000-0002-7599-0577 ; Rösch, Christine...
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs15235585.  , 2023
Link: https://hdl.handle.net/2..
 
?
10

Uncertainty quantification in deep learning applied to geod..:

Soja, Benedikt ; id_orcid:0 000-0002-7010-2147 ; Gou, Junyang...
http://hdl.handle.net/20.500.11850/642342.  , 2023
Link: https://hdl.handle.net/2..
 
?
11

AI-based EOP Prediction by ETH Zurich: the Second EOP Predi..:

Soja, Benedikt ; id_orcid:0 000-0002-7010-2147 ; Kiani Shahvandi, Mostafa...
http://hdl.handle.net/20.500.11850/648045.  , 2023
Link: https://hdl.handle.net/2..
 
?
12

GRACE-SeDA: A global total water storage anomaly product wi..:

Gou, Junyang ; id_orcid:0 000-0002-7599-0577 ; Soja, Benedikt.
http://hdl.handle.net/20.500.11850/648738.  , 2023
Link: https://hdl.handle.net/2..
 
?
13

Machine learning-based GRACE accelerometer transplant:

Behzadpour, Saniya ; Gou, Junyang ; id_orcid:0 000-0002-7599-0577...
http://hdl.handle.net/20.500.11850/650340.  , 2023
Link: https://hdl.handle.net/2..
 
?
14

Enhancing the spatial resolution of GRACE ocean bottom pres..:

Gou, Junyang ; id_orcid:0 000-0002-7599-0577 ; Börger, Lara...
http://hdl.handle.net/20.500.11850/648876.  , 2023
Link: https://hdl.handle.net/2..
 
?
15

Applications of high-resolution total water storage anomali..:

Gou, Junyang ; id_orcid:0 000-0002-7599-0577 ; Soja, Benedikt.
http://hdl.handle.net/20.500.11850/623075.  , 2023
Link: https://hdl.handle.net/2..
 
1-15