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Junyang Gou
28
results:
Search for persons
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Format
Online (28)
Mediatypes
Articles (Online) (6)
Bookchapter (Online) (1)
OpenAccess-fulltext (21)
Sorted by: Relevance
Sorted by: Year
?
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
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/..
?
3
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/..
?
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
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/..
?
6
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/..
?
7
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/..
?
8
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..
?
9
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..
?
10
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..
?
11
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..
?
12
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..
?
13
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..
?
14
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..
?
15
Comparison of machine-learning-based predictions of Earth o..:
Soja, Benedikt
;
id_orcid:0 000-0002-7010-2147
;
Kiani Shahvandi, Mostafa
...
http://hdl.handle.net/20.500.11850/603468. , 2023
Link:
https://hdl.handle.net/2..
1-15