Tidal analysis of GNSS reflectometry applied for coastal sea level sensing in Antarctica and Greenland

We retrieve sea levels in polar regions via GNSS reflectometry (GNSS-R), using signal-to-noise ratio (SNR) observations from eight POLENET GNSS stations. Although geodetic-quality antennas are designed to boost the direct reception from GNSS satellites and to suppress indirect reflections from natur...

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Main Authors: Tabibi, Sajad, Geremia-Nievinski, Felipe, Francis, Olivier, van Dam, Tonie
Format: Dataset
Language:unknown
Published: Zenodo 2020
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.3629460
https://zenodo.org/record/3629460
id ftdatacite:10.5281/zenodo.3629460
record_format openpolar
spelling ftdatacite:10.5281/zenodo.3629460 2023-05-15T13:59:05+02:00 Tidal analysis of GNSS reflectometry applied for coastal sea level sensing in Antarctica and Greenland Tabibi, Sajad Geremia-Nievinski, Felipe Francis, Olivier van Dam, Tonie 2020 https://dx.doi.org/10.5281/zenodo.3629460 https://zenodo.org/record/3629460 unknown Zenodo https://dx.doi.org/10.5281/zenodo.3629461 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY GPS, GPS, reflectometry, GNSS-R, SNR, sea level, altimetry, tidal harmonics, Antarctica, Greenland dataset Dataset 2020 ftdatacite https://doi.org/10.5281/zenodo.3629460 https://doi.org/10.5281/zenodo.3629461 2022-02-08T13:40:45Z We retrieve sea levels in polar regions via GNSS reflectometry (GNSS-R), using signal-to-noise ratio (SNR) observations from eight POLENET GNSS stations. Although geodetic-quality antennas are designed to boost the direct reception from GNSS satellites and to suppress indirect reflections from natural surfaces, the latter can still be used to estimate the sea level in a stable terrestrial reference frame. Here, typical GNSS-R retrieval methodology is improved in two ways, 1) constraining phase-shifts to yield more precise reflector heights and 2) employing an extended dynamic filter to account for the second-order height rate of change (vertical acceleration). We validate retrievals over a 4-year period at Palmer Station (Antarctica), where there is a co-located tide gauge (TG). Because ice contaminates the long-period tidal constituents, we focus on the main tidal species (daily and subdaily), by employing a deseasonalization filter. The difference between sub-hourly GNSS-R retrievals of the ocean surface and TG records has a root-mean-square error (RMSE) of 15.4 cm and a correlation of 0.903, while the tidal prediction has a RMSE of 1.9 cm and a correlation of 0.998. There is excellent millimetric agreement between the two sensors for most eight major tidal constituents, with the exception of luni-solar diurnal ( K 1 ), principal solar ( S 2 ), and luni-solar semidiurnal ( K 2 ) components, which are biased in GNSS-R due to the leakage of the GPS orbital period. We also compare the GNSS-R tidal constituents from seven additional POLENET sites, without co-located TG, to global and local ocean tide models. We find that the root-sum-square-error (RSSE) of eight major constituents varies between 26.0 cm and 56.9 cm for different models. Given that the agreement in tidal constituents between the TG and GNSS-R was better at Palmer Station, we conclude that assimilating the GNSS-R retrievals into tidal models would improve their accuracy in Antarctica and Greenland, provided that care is exercised to avoid the orbital period overtones and also sea ice. Dataset Antarc* Antarctica Greenland Sea ice DataCite Metadata Store (German National Library of Science and Technology) Greenland Palmer Station ENVELOPE(-64.050,-64.050,-64.770,-64.770) Palmer-Station ENVELOPE(-64.050,-64.050,-64.770,-64.770)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic GPS, GPS, reflectometry, GNSS-R, SNR, sea level, altimetry, tidal harmonics, Antarctica, Greenland
spellingShingle GPS, GPS, reflectometry, GNSS-R, SNR, sea level, altimetry, tidal harmonics, Antarctica, Greenland
Tabibi, Sajad
Geremia-Nievinski, Felipe
Francis, Olivier
van Dam, Tonie
Tidal analysis of GNSS reflectometry applied for coastal sea level sensing in Antarctica and Greenland
topic_facet GPS, GPS, reflectometry, GNSS-R, SNR, sea level, altimetry, tidal harmonics, Antarctica, Greenland
description We retrieve sea levels in polar regions via GNSS reflectometry (GNSS-R), using signal-to-noise ratio (SNR) observations from eight POLENET GNSS stations. Although geodetic-quality antennas are designed to boost the direct reception from GNSS satellites and to suppress indirect reflections from natural surfaces, the latter can still be used to estimate the sea level in a stable terrestrial reference frame. Here, typical GNSS-R retrieval methodology is improved in two ways, 1) constraining phase-shifts to yield more precise reflector heights and 2) employing an extended dynamic filter to account for the second-order height rate of change (vertical acceleration). We validate retrievals over a 4-year period at Palmer Station (Antarctica), where there is a co-located tide gauge (TG). Because ice contaminates the long-period tidal constituents, we focus on the main tidal species (daily and subdaily), by employing a deseasonalization filter. The difference between sub-hourly GNSS-R retrievals of the ocean surface and TG records has a root-mean-square error (RMSE) of 15.4 cm and a correlation of 0.903, while the tidal prediction has a RMSE of 1.9 cm and a correlation of 0.998. There is excellent millimetric agreement between the two sensors for most eight major tidal constituents, with the exception of luni-solar diurnal ( K 1 ), principal solar ( S 2 ), and luni-solar semidiurnal ( K 2 ) components, which are biased in GNSS-R due to the leakage of the GPS orbital period. We also compare the GNSS-R tidal constituents from seven additional POLENET sites, without co-located TG, to global and local ocean tide models. We find that the root-sum-square-error (RSSE) of eight major constituents varies between 26.0 cm and 56.9 cm for different models. Given that the agreement in tidal constituents between the TG and GNSS-R was better at Palmer Station, we conclude that assimilating the GNSS-R retrievals into tidal models would improve their accuracy in Antarctica and Greenland, provided that care is exercised to avoid the orbital period overtones and also sea ice.
format Dataset
author Tabibi, Sajad
Geremia-Nievinski, Felipe
Francis, Olivier
van Dam, Tonie
author_facet Tabibi, Sajad
Geremia-Nievinski, Felipe
Francis, Olivier
van Dam, Tonie
author_sort Tabibi, Sajad
title Tidal analysis of GNSS reflectometry applied for coastal sea level sensing in Antarctica and Greenland
title_short Tidal analysis of GNSS reflectometry applied for coastal sea level sensing in Antarctica and Greenland
title_full Tidal analysis of GNSS reflectometry applied for coastal sea level sensing in Antarctica and Greenland
title_fullStr Tidal analysis of GNSS reflectometry applied for coastal sea level sensing in Antarctica and Greenland
title_full_unstemmed Tidal analysis of GNSS reflectometry applied for coastal sea level sensing in Antarctica and Greenland
title_sort tidal analysis of gnss reflectometry applied for coastal sea level sensing in antarctica and greenland
publisher Zenodo
publishDate 2020
url https://dx.doi.org/10.5281/zenodo.3629460
https://zenodo.org/record/3629460
long_lat ENVELOPE(-64.050,-64.050,-64.770,-64.770)
ENVELOPE(-64.050,-64.050,-64.770,-64.770)
geographic Greenland
Palmer Station
Palmer-Station
geographic_facet Greenland
Palmer Station
Palmer-Station
genre Antarc*
Antarctica
Greenland
Sea ice
genre_facet Antarc*
Antarctica
Greenland
Sea ice
op_relation https://dx.doi.org/10.5281/zenodo.3629461
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.3629460
https://doi.org/10.5281/zenodo.3629461
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