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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.

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

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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