On the information content in linear horizontal delay gradients estimated from space geodesy observations

SND-ID: snd1090-1. Version: 1.0. DOI: https://doi.org/10.5878/nswt-yr39

Citation

Creator/Principal investigator(s)

Gunnar Elgered - Chalmers University of Technology, Department of Space, Earth and Environment orcid

Peter Forkman - Chalmers University of Technology, Department of Space, Earth and Environment orcid

Rüdiger Haas - Chalmers University of Technology, Department of Space, Earth and Environment orcid

Tong Ning - Lantmäteriet

Research principal

Chalmers University of Technology - Department of Space, Earth and Environment rorId

Description

The data are produced for a scientific article, https://doi.org/10.5194/amt-2018-318, with the following abstract:

We assess the quality of estimated linear horizontal gradients in the atmospheric propagation delay above ground-based stations receiving signals from the Global Positioning System (GPS). Gradients are estimated from 11 years of observations from five stations in Sweden. Comparing these gradients with the corresponding ones from the European Centre for Medium-Range Weather Forecasts (ECMWF) analyses show that GPS gradients confirm known seasonal effects both in the hydrostatic and the wet components. The two GPS stations equipped with microwave absorbing material below the antenna in general show higher correlation coefficients with the ECMWF gradients compared to the other three stations. We also estimated gradients using GPS data from two collocated antenna installations at the Onsala Space Observatory. Correlation coefficients for the east and the north wet gradients from GPS can for specific months reach up to 0.8 when compared to simultaneously estimated wet gradients from m

... Show more..
The data are produced for a scientific article, https://doi.org/10.5194/amt-2018-318, with the following abstract:

We assess the quality of estimated linear horizontal gradients in the atmospheric propagation delay above ground-based stations receiving signals from the Global Positioning System (GPS). Gradients are estimated from 11 years of observations from five stations in Sweden. Comparing these gradients with the corresponding ones from the European Centre for Medium-Range Weather Forecasts (ECMWF) analyses show that GPS gradients confirm known seasonal effects both in the hydrostatic and the wet components. The two GPS stations equipped with microwave absorbing material below the antenna in general show higher correlation coefficients with the ECMWF gradients compared to the other three stations. We also estimated gradients using GPS data from two collocated antenna installations at the Onsala Space Observatory. Correlation coefficients for the east and the north wet gradients from GPS can for specific months reach up to 0.8 when compared to simultaneously estimated wet gradients from microwave radiometry. The best agreement is obtained when an elevation cutoff angle of 3° is applied in the GPS data processing, in spite of the fact that the radiometer does not observe below 20°. Based on the four years of results we note a strong seasonal dependence in the correlation coefficients, from 0.3 during months with smaller gradients to 0.8 during months with larger gradients, typically during the warmer, and more humid, part of the year. Finally, a case study using a 15-day long continuous Very Long Baseline Interferometry (VLBI) campaign was carried out.
The comparison of the gradients estimated from VLBI and GPS data indicates that a homogeneous and frequent sampling of the sky is a critical parameter. Show less..

Language

Method and outcome

Time period(s) investigated

2006-01-01 – 2016-12-31

Data format / data structure

Data collection
Geographic coverage

Geographic spread

Geographic location: Sweden

Geographic description: Atmospheric observations from ground-based receivers of signals from the Global Positioning System (GPS) at five sites in Sweden: Kiruna, Mårtsbo, Borås, Onsala, and Visby.

Administrative information

Responsible department/unit

Department of Space, Earth and Environment

Contributor(s)

Lantmäteriet

Topic and keywords

Research area

Earth and related environmental sciences (Standard för svensk indelning av forskningsämnen 2011)

Natural sciences (Standard för svensk indelning av forskningsämnen 2011)

Geoscientific information (INSPIRE topic categories)

Publications

Elgered, G., Ning, T., Forkman, P., and Haas, R.:
On the information content in linear horizontal delay gradients estimated from space geodesy observations,
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2018-318

If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.

Versions

Version 1.0. 2019-02-22

Version 1.0: 2019-02-22

DOI: https://doi.org/10.5878/nswt-yr39

Contact for questions about the data

Published: 2019-02-22
Last updated: 2019-11-07