GNSS-based zenith total delays observed during the MOSAiC Campaign 2019-2020
Abstract During the transpolar drifting campaign MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) of RV Polarstern (AWI, 2017), GNSS was used among other techniques to monitor variations in atmospheric water vapor. This dataset comprises the estimated antenna position...
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2021
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Online Access: | https://doi.org/10.5880/GFZ.1.1.2021.004 |
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ftgfzpotsdamdata:oai:doidb.wdc-terra.org:7149 2023-05-15T15:18:56+02:00 GNSS-based zenith total delays observed during the MOSAiC Campaign 2019-2020 Männel, Benjamin Zus, Florian Männel, Benjamin Zus, Florian GFZ German Research Centre for Geosciences, Potsdam, Germany -18 130 53 90 2021 https://doi.org/10.5880/GFZ.1.1.2021.004 unknown GFZ Data Services doi:10.17815/jlsrf-3-163 doi:10.5880/GFZ.1.1.2016.002 doi:10.1002/2016JB013098 doi:10.1175/1520-0450(1994)033<0379:gmmzwd>2.0.co;2 doi:10.7892/boris.72297 doi:10.1029/RS020i006p01593 doi:10.1016/j.asr.2020.04.038 doi:10.1029/2011RS004853 doi:10.5880/GFZ.1.1.2021.003 http://dx.doi.org/10.5880/GFZ.1.1.2021.004 doi:10.5880/GFZ.1.1.2021.004 CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ CC-BY Dataset 2021 ftgfzpotsdamdata https://doi.org/10.5880/GFZ.1.1.2021.004 https://doi.org/10.17815/jlsrf-3-163 https://doi.org/10.5880/GFZ.1.1.2016.002 https://doi.org/10.1002/2016JB013098 https://doi.org/10.1175/1520-0450(1994)033<0379:gmmzwd>2.0.co;2 https://doi.org/10.7892/b 2022-03-10T11:14:49Z Abstract During the transpolar drifting campaign MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) of RV Polarstern (AWI, 2017), GNSS was used among other techniques to monitor variations in atmospheric water vapor. This dataset comprises the estimated antenna position for each hour, the derived zenith total delays including their formal error and quality indicators. The GNSS equipment was installed on July 4th, 2019. For logistical reasons, the receiver was switched off on October 3rd at a position very close to Ny Ålesund, Svalbard. According to the MOSAiC data guidelines data for the following periods are not provided: - September 12, 2019 00:00 to September 26, 2019 12:40 - June 3, 2020 20:36 to June 8, 2020 20:00 - October 2, 2020 04:00 to October 2, 2020 20:00 - October 3, 2020 03:15 to October 4, 2020 17:00 The associated results are scientifically discussed in Männel et al. (2021) Methods The derived RINEX files (https://doi.org/10.5880/GFZ.1.1.2021.003) were processed in a kinematic precise point positioning (PPP) using the Bernese GNSS Software (Dach et al., 2015). For consistency reasons, the CODE MGEX products for satellite orbits, clock corrections, and Earth rotation were used (Prange et al., 2020). Per day 25 zenith total delays are estimated. A detailed processing description is given in Männel et al. (2021). The conversion between zenith total delay and integrated water vapor was performed applying Eq. 2 described in Bevis et al., 1994. The zenith wet delay was computed by subtracting the hydrostatic delay provided by ERA5 from the estimated ZTD values. The method described in Zus et al., 2012 was used to calculate the delays in the weather model analysis. The weighted mean temperature of the atmosphere T_m was calculated from the ERA5 data using Eq. A18 given in Davis et al., 1985. To derive hourly IWV the 3-hourly ERA5 data have been linearly interpolated. The result file contains the following information: • time string (YYYY-MM-DDTHH:MM:SS) • estimated antenna position (longitude, latitude, ellipsoidal height) in the IGS14 reference frame (Altamimi et al., 2016) • zenith total delay and formal error in mm • integrated water vapor in kg m-2 • Bernese quality flag for kinematic coordinates • number of observations within the following hour Epochs with less than 800 observations and epochs with a singular or extrapolated position are not provided. Dataset Arctic Ny Ålesund Ny-Ålesund Svalbard GFZ Data Services (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) Arctic Svalbard Ny-Ålesund |
institution |
Open Polar |
collection |
GFZ Data Services (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) |
op_collection_id |
ftgfzpotsdamdata |
language |
unknown |
description |
Abstract During the transpolar drifting campaign MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) of RV Polarstern (AWI, 2017), GNSS was used among other techniques to monitor variations in atmospheric water vapor. This dataset comprises the estimated antenna position for each hour, the derived zenith total delays including their formal error and quality indicators. The GNSS equipment was installed on July 4th, 2019. For logistical reasons, the receiver was switched off on October 3rd at a position very close to Ny Ålesund, Svalbard. According to the MOSAiC data guidelines data for the following periods are not provided: - September 12, 2019 00:00 to September 26, 2019 12:40 - June 3, 2020 20:36 to June 8, 2020 20:00 - October 2, 2020 04:00 to October 2, 2020 20:00 - October 3, 2020 03:15 to October 4, 2020 17:00 The associated results are scientifically discussed in Männel et al. (2021) Methods The derived RINEX files (https://doi.org/10.5880/GFZ.1.1.2021.003) were processed in a kinematic precise point positioning (PPP) using the Bernese GNSS Software (Dach et al., 2015). For consistency reasons, the CODE MGEX products for satellite orbits, clock corrections, and Earth rotation were used (Prange et al., 2020). Per day 25 zenith total delays are estimated. A detailed processing description is given in Männel et al. (2021). The conversion between zenith total delay and integrated water vapor was performed applying Eq. 2 described in Bevis et al., 1994. The zenith wet delay was computed by subtracting the hydrostatic delay provided by ERA5 from the estimated ZTD values. The method described in Zus et al., 2012 was used to calculate the delays in the weather model analysis. The weighted mean temperature of the atmosphere T_m was calculated from the ERA5 data using Eq. A18 given in Davis et al., 1985. To derive hourly IWV the 3-hourly ERA5 data have been linearly interpolated. The result file contains the following information: • time string (YYYY-MM-DDTHH:MM:SS) • estimated antenna position (longitude, latitude, ellipsoidal height) in the IGS14 reference frame (Altamimi et al., 2016) • zenith total delay and formal error in mm • integrated water vapor in kg m-2 • Bernese quality flag for kinematic coordinates • number of observations within the following hour Epochs with less than 800 observations and epochs with a singular or extrapolated position are not provided. |
author2 |
Männel, Benjamin Zus, Florian GFZ German Research Centre for Geosciences, Potsdam, Germany |
format |
Dataset |
author |
Männel, Benjamin Zus, Florian |
spellingShingle |
Männel, Benjamin Zus, Florian GNSS-based zenith total delays observed during the MOSAiC Campaign 2019-2020 |
author_facet |
Männel, Benjamin Zus, Florian |
author_sort |
Männel, Benjamin |
title |
GNSS-based zenith total delays observed during the MOSAiC Campaign 2019-2020 |
title_short |
GNSS-based zenith total delays observed during the MOSAiC Campaign 2019-2020 |
title_full |
GNSS-based zenith total delays observed during the MOSAiC Campaign 2019-2020 |
title_fullStr |
GNSS-based zenith total delays observed during the MOSAiC Campaign 2019-2020 |
title_full_unstemmed |
GNSS-based zenith total delays observed during the MOSAiC Campaign 2019-2020 |
title_sort |
gnss-based zenith total delays observed during the mosaic campaign 2019-2020 |
publisher |
GFZ Data Services |
publishDate |
2021 |
url |
https://doi.org/10.5880/GFZ.1.1.2021.004 |
op_coverage |
-18 130 53 90 |
geographic |
Arctic Svalbard Ny-Ålesund |
geographic_facet |
Arctic Svalbard Ny-Ålesund |
genre |
Arctic Ny Ålesund Ny-Ålesund Svalbard |
genre_facet |
Arctic Ny Ålesund Ny-Ålesund Svalbard |
op_relation |
doi:10.17815/jlsrf-3-163 doi:10.5880/GFZ.1.1.2016.002 doi:10.1002/2016JB013098 doi:10.1175/1520-0450(1994)033<0379:gmmzwd>2.0.co;2 doi:10.7892/boris.72297 doi:10.1029/RS020i006p01593 doi:10.1016/j.asr.2020.04.038 doi:10.1029/2011RS004853 doi:10.5880/GFZ.1.1.2021.003 http://dx.doi.org/10.5880/GFZ.1.1.2021.004 doi:10.5880/GFZ.1.1.2021.004 |
op_rights |
CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5880/GFZ.1.1.2021.004 https://doi.org/10.17815/jlsrf-3-163 https://doi.org/10.5880/GFZ.1.1.2016.002 https://doi.org/10.1002/2016JB013098 https://doi.org/10.1175/1520-0450(1994)033<0379:gmmzwd>2.0.co;2 https://doi.org/10.7892/b |
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