ReS4ToM · Real-Time GNSS for European Troposphere Delay Model
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2019-08-16 → 2021-08-15
- EU contribution
- €174,806
- Participants
- 1
- Scheme
- MSCA-IF-EF-ST
Lines connect the coordinator with its partners.
Results in brief
Real-Time GNSS for European Troposphere Delay Model
The project „Real-Time GNSS for European Troposphere Delay Model (ReS4ToM)” aims at developing “a novel real-time model of the troposphere by using Global Navigation Satellite Systems (GNSS) derived troposphere delays, gradient information and water vapor content”. Remote sensing of the troposphere with GNSS, so-called GNSS meteorology, provides observations of spatial and temporal resolution higher than any other technique and operates under all weather conditions. Therefore, hundreds of permanent GNSS stations in Europe are used by several analysis centers to operationally sense the troposphere under the E-GVAP project for monitoring water vapor by the help of GNSS. Troposphere products estimated from GNSS observations from the two oldest systems (GPS, GLONASS) are delivered with a latency reaching one hour. A real-time service, rather than a delayed provision of accurate troposphere products, from quad-constellation GNSS remains a goal. In addition to zenith total delay (ZTD), advanced troposphere products like horizontal gradients and slant delays gain more attention over recent years. The main product of GNSS meteorology, the ZTD, can be assimilated into numerical weather prediction (NWP) models in order to improve weather forecasting. This is particularly important for severe weather events (heavy rainfalls, hailstorms) for which reliable prediction remains a challenge. The dynamics of troposphere gradients can reveal additional information on troposphere asymmetry, and slant delays can be used to reconstruct the three-dimensional distribution of water vapor. With low-cost GNSS receivers, the tracking network can be densified and thus the spatial density of sensing the troposphere can be increased from tens to single kilometers. This allows to observe local dynamics of water vapor and increases the accuracy of forecasts for urban areas. Objectives of this Marie Skłodowska Curie Action (MSCA) were as follows: (a) to combine in a consistent and operational way multiple novel aspects of GNSS data processing; (b) to compute and validate a real-time GNSS-based troposphere delay model for users and to provide it online making use of open standards; (c) to check how such troposphere products support geodetic techniques and improve weather forecasting; (d) to investigate the potential and limitations of the low-cost GNSS receivers for GNSS meteorology. A parallel goal of the MSCA Individual Fellowship was to foster the development of the individual researcher, by increasing his visibility in the GNSS and meteorological communities, re-enforce his position of professional maturity in research and supervision, which will allow him to reach a promotion to achieve a fully independent academic position after this fellowship.
Data: CORDIS, © European Union
Project objective
Remote sensing of the troposphere with Global Navigation Satellite Systems (GNSS) provides observations of spatial and temporal resolution higher than any other technique and operates under all weather conditions. The main product of GNSS meteorology, the zenith troposphere delay (ZTD), can be assimilated into numerical weather prediction (NWP) models in order to improve forecasting. The troposphere is also a major error source in GNSS positioning and a limiting factor for Interferometric Synthetic Aperture Radar (InSAR) observations. Both techniques are commonly used for hazard warning systems, which raise the demand for reliable real-time (RT) ZTD models. Accuracy and timely provision of ZTD estimates is limited by the quality and latency of satellite orbit and clock products. In 2013, the International GNSS Service started to provide RT products for GNSS, thus opening new possibilities for GNSS meteorology. Preliminary results revealed absolute accuracies of RT ZTDs of less than 30 mm, which is better than any other existing ZTD model available in RT. In order to further improve the quality of RT GNSS ZTD models we will make use of emerging GNSS, modify functional and stochastic models for data processing and provide sophisticated RT products i.e. troposphere gradients and slant delays. We will apply novel approaches in order to improve GNSS monitoring and correct InSAR observations, with the goal to better support RT earthquake and landslide warning systems. The aim of this project is to develop a high-quality RT GNSS model of the troposphere on two scales: dense regional (Germany, Poland) and sparse continental (Europe). The host at the University of Stuttgart, has vast experience in the development of next-generation positioning, navigation and timing solutions, and can provide the crucial infrastructure for this project. Secondments at the German Meteorological Service and the Federal Agency for Cartography and Geodesy will provide additional trainings.
Original text from CORDIS.
Participants
- UNIVERSITY OF STUTTGART · StuttgartCoordinatorGermany
Links
- View on CORDIS
- DOI: 10.3030/835997
- https://www.ins.uni-stuttgart.de/en/research/research-projects/2021-real-time-gnss/
Data: CORDIS, © European Union
