

Hydrostatic and wet signal delays calculated from a network of 23 GNSS stations in northwestern Argentina between 2010-2021
Cite as:
Antonoglou, Nikolaos; Balidakis, Kyriakos; Dick, Galina; Wickert, Jens; Bookhagen, Bodo (2022): Hydrostatic and wet signal delays calculated from a network of 23 GNSS stations in northwestern Argentina between 2010-2021. GFZ Data Services. https://doi.org/10.5880/GFZ.1.1.2022.002Status
I N R E V I E W : Antonoglou, Nikolaos; Balidakis, Kyriakos; Dick, Galina; Wickert, Jens; Bookhagen, Bodo (2022): Hydrostatic and wet signal delays calculated from a network of 23 GNSS stations in northwestern Argentina between 2010-2021. GFZ Data Services. https://doi.org/10.5880/GFZ.1.1.2022.002
Abstract
This dataset provides information about the hydrostatic and wet signal delays from a network of 23 GNSS stations in northwestern Argentina between 2010-2021. It is based on Global Navigation Satellite System (GNSS) remote sensing techniques for the estimation of the atmospheric total delay and its gradients. Additionally, the hydrostatic counterpart and its gradients were calculated from the ERA5 dataset of the European Centre for Medium-Range Weather Forecasts (ECMWF) with ray-tracing algorithms. The wet delays, as well as their gradients, were calculated by subtracting the hydrostatic fraction from the total proportion. Lastly, the wet signal delays were also computed using solely the ERA5 dataset. Authors
- Antonoglou, Nikolaos
;GFZ German Research Centre for Geosciences, Potsdam, Germany Potsdam, Germany;University of Potsdam, Potsdam, Germany
- Balidakis, Kyriakos
;GFZ German Research Centre for Geosciences, Potsdam, Germany Potsdam, Germany
- Dick, Galina
;GFZ German Research Centre for Geosciences, Potsdam, Germany Potsdam, Germany
- Wickert, Jens;GFZ German Research Centre for Geosciences, Potsdam, Germany Potsdam, Germany;Technische Universität Berlin, Berlin, Germany
- Bookhagen, Bodo
;University of Potsdam, Potsdam, Germany
Contact
- Antonoglou, Nikolaos; GFZ German Research Centre for Geosciences, Potsdam, Germany Potsdam, Germany;
Keywords
GNSS meteorology, GNSS remote sensing, water vapour, tropospheric delay, tropospheric gradientGCMD Science Keywords
- EARTH SCIENCE > SOLID EARTH > GEODETICS
- Earth Remote Sensing Instruments > Passive Remote Sensing > Positioning/Navigation > GNSS
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- title: Hydrostatic and wet signal delays calculated from a network of 23 GNSS stations in northwestern Argentina between 2010-2021
- publisher: GFZ Data Services
- publicationYear: 2022
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- subject: water vapour
- subject: tropospheric delay
- subject: tropospheric gradient
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- schema.org download
Location
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Related Work
Cites
- https://dx.doi.org/10.1175/15200450(1994)0330<379:GMMZWD>2.0.CO;2
- https://dx.doi.org/10.1029/2018eo104623
- https://dx.doi.org/10.1002/qj.3803
- https://dx.doi.org/10.5194/angeo-37-429-2019
- https://dx.doi.org/10.1785/0220170162
- https://dx.doi.org/10.7283/T5Q23XBT
- https://dx.doi.org/10.7283/T53776T2
- https://dx.doi.org/10.7283/T5TT4P27
- https://dx.doi.org/10.7283/T5K935MG
- https://dx.doi.org/10.7283/T52J68XN
- https://dx.doi.org/10.7283/T5B27S9T
- https://dx.doi.org/10.7283/T5TB1596
- https://dx.doi.org/10.7283/T52V2DHH
- https://dx.doi.org/10.7283/T5Z31X1J
- https://dx.doi.org/10.7283/T59C6VTS
- https://dx.doi.org/10.7283/T5PN9413
- https://dx.doi.org/10.7283/T5F47MJH
- https://dx.doi.org/10.7283/T5JW8C9C
- https://dx.doi.org/10.1175/15200450(1994)<0330379:GMMZWD>2.0.CO;2
- https://dx.doi.org/10.1029/2018eo104623
- https://dx.doi.org/10.1002/qj.3803
- https://dx.doi.org/10.5194/angeo-37-429-2019
- https://dx.doi.org/10.1785/0220170162
- https://dx.doi.org/10.7283/T5Q23XBT
- https://dx.doi.org/10.7283/T53776T2
- https://dx.doi.org/10.7283/T5TT4P27
- https://dx.doi.org/10.7283/T5K935MG
- https://dx.doi.org/10.7283/T52J68XN
- https://dx.doi.org/10.7283/T5B27S9T
- https://dx.doi.org/10.7283/T5TB1596
- https://dx.doi.org/10.7283/T52V2DHH
- https://dx.doi.org/10.7283/T5Z31X1J
- https://dx.doi.org/10.7283/T59C6VTS
- https://dx.doi.org/10.7283/T5PN9413
- https://dx.doi.org/10.7283/T5F47MJH
- https://dx.doi.org/10.7283/T5JW8C9C