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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Bibliographic Details
Main Authors: Männel, Benjamin, Zus, Florian
Other Authors: GFZ German Research Centre for Geosciences, Potsdam, Germany
Format: Dataset
Language:unknown
Published: GFZ Data Services 2021
Subjects:
Online Access:https://doi.org/10.5880/GFZ.1.1.2021.004
Description
Summary: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.