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ReS4ToM SIGNED

Real-Time GNSS for European Troposphere Delay Model

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 ReS4ToM project word cloud

Explore the words cloud of the ReS4ToM project. It provides you a very rough idea of what is the project "ReS4ToM" about.

source    infrastructure    university    techniques    vast    dense    warning    limiting    provides    observations    german    numerical    federal    meteorology    scales    provision    germany    mm    spatial    insar    delay    gradients    model    synthetic    error    remote    accuracies    revealed    assimilated    regional    clock    prediction    slant    models    2013    navigation    latency    poland    data    monitoring    sparse    time    temporal    host    solutions    possibilities    troposphere    accuracy    nwp    trainings    operates    forecasting    started    agency    stuttgart    correct    global    generation    aperture    hazard    modify    sophisticated    weather    landslide    satellite    delays    secondments    quality    interferometric    meteorological    orbit    rt    additional    stochastic    functional    demand    gnss    cartography    preliminary    opening    timing    resolution    earthquake    continental    technique    estimates    ztd    geodesy    radar    service    international    sensing    zenith    limited    absolute    ztds    positioning   

Project "ReS4ToM" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAET STUTTGART 

Organization address
address: KEPLERSTRASSE 7
city: STUTTGART
postcode: 70174
website: www.uni-stuttgart.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 174˙806 €
 EC max contribution 174˙806 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-08-16   to  2021-08-15

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAET STUTTGART DE (STUTTGART) coordinator 174˙806.00

Map

 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.

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