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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.

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

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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