Jens Wickert

Prof. Jens Wickert

German Research Centre for Geosciences GFZ Potsdam, and Technische Universität Berlin, Berlin, Germany
orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 January 2013 in Journal of Geodesy
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Journal Article
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XLXingxing Li
Xingxing Li
Maorong GeMaorong Ge
Maorong Ge
HZHongping Zhang
Hongping Zhang
JWJens Wickert
Jens Wickert

30 March 2005 in Annales Geophysicae
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Journal Article
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JWJens Wickert
Jens Wickert
GBG. Beyerle
G. Beyerle
RKR. König
R. König
SHS. Heise
S. Heise
LGL. Grunwaldt
L. Grunwaldt
TST. Schmidt
T. Schmidt
CHAMP (CHAllenging Minisatellite Payload) and GRACE (Gravity Recovery And Climate Experiment) formed a satellite configuration for precise atmospheric sounding during the first activation of the GPS (Global Positioning System) radio occultation experiment aboard GRACE on 28 and 29 July 2004. 338 occultations were recorded aboard both satellites, providing globally distributed vertical profiles of refractivity, temperature and specific humidity. The combined set of CHAMP and GRACE profiles shows excellent agreement with meteorological analysis. Almost no refractivity bias is observed between 5 and 30km, the standard deviation is between 1 and 2% within this altitude interval. The GRACE satellite clock stability is significantly improved in comparison with CHAMP. This allows for the application of a zero difference technique for precise analysis of the GRACE occultation data.

30 December 2019 in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Journal Article
Open access
ECEstel Cardellach
Estel Cardellach
WLWeiqiang LI
Weiqiang LI
ARAntonio Rius
Antonio Rius
MSMaximilian Semmling
Maximilian Semmling
JWJens Wickert
Jens Wickert
CBCarlo Buontempo
Carlo Buontempo
The precision of sea surface altimetry using bistatically reflected signals of the Global Navigation Satellite System (GNSS) is typically one to two orders of magnitude worse than dedicated radar altimeters. However, when the scattering is coherent, the electromagnetic phase of the carrier signal can be tracked, providing precise ranging measurements. Under grazing angle (GA) geometries, the conditions for coherent scattering are maximized, enabling carrier phase-delay altimetric techniques over sea waters. This work presents the first implementation of GA carrier phase sea surface altimetry using data acquired from a spaceborne platform (NASA Cyclone GNSS mission) and transmitted from both GPS and Galileo constellations. The altimetric results show that the measurement system precision is 3/4.1 cm (median/mean) at 20 Hz sampling, cm level at 1 Hz, comparable to dedicated radar altimeters. The combined precision, including systematic errors, is 16/20 cm (median/mean) precision at 50 ms integration (a few cm level at 1 Hz). The wind and wave requirements to enable coherent scattering at GA geometries appear to be below 6 m/s wind and 1.5 m significant wave height, although only 33% of tracks under these conditions present sufficient coherence. Given that this technique could be implemented by firmware updates of existing GNSS radio occultation missions, and given the large number of such missions, the study indicates that the resulting precision and spatio–temporal resolution would contribute to resolving some submesoscale ocean signals.

9 March 2016 in GPS Solutions
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ZGZhouzheng Gao
Zhouzheng Gao
HZHongping Zhang
Hongping Zhang
Maorong GeMaorong Ge
Maorong Ge
XNXiaoji Niu
Xiaoji Niu
Wen-Bin ShenWen-Bin Shen
Wen-Bin Shen
HSHarald Schuh
Harald Schuh

15 May 2019 in Geophysical Research Letters
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Journal Article
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JWJungang Wang
Jungang Wang
ZWZhilu Wu
Zhilu Wu
MSMaximilian Semmling
Maximilian Semmling
FZFlorian Zus
Florian Zus
SGSebastian Gerland
Sebastian Gerland
HSHarald Schuh
Harald Schuh

23 July 2020 in Journal of Geodesy
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Journal Article
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FNFelipe Geremia Nievinski
Felipe Geremia Nievinski
THThomas Hobiger
Thomas Hobiger
RHRüdiger Haas
Rüdiger Haas
WLWei Liu
Wei Liu
JSJ. Strandberg
J. Strandberg
SWSimon Williams
Simon Williams