​PROGRAMME

Direct to:

 Overview

Detailed Programme

Poster Session

DOWNLOAD PROGRAMME PDF

​

Programme overview

 

 

 

 

 

 

 

 

TOP

​

Detailed D4G 2022 Workshop Timetable

Monday, June 13, 2022

08:00-09:00  Registration: GFZ Potsdam, Telegrafenberg, House H

Please note: The Registration & Information Desk is open Sunday, June 12 2022, from 17:00-19:00 in case you are in earlier. We thus encourage you to register during this time, avoiding a potentially more hectic time in the morning.

09:00-09:15 Welcome Address | Susanne Buiter (GFZ Scientific Executive Director)

09:15-09:30  Welcome and Remarks by the Organizers | K. Wilgan

09:30-10:00  Keynote speech | Y. Jade Morton

10:00-10.15  Review of GNSS Remote Sensing | J. Wickert

10:15-10:30  Recent state and prospects of ML in GNSS Reflectometry | M. Asgarimehr

Workshop Sessions

11:30-13:00 | S1: Machine Learning for GNSS Remote Sensing
Chairs: Benedikt Soja, Caroline Arnold

​11:30-12:00  Randa Natras: Interpretable Machine Learning for Ionosphere Forecasting with Uncertainty Quantification

12:00-12:15  Karolina Kume: Modelling global vertical total electron content with neural networks

12:15-12:30  Arthur Amaral Ferreira: Artificial neural network based prediction of Large Scale Travelling Ionospheric Disturbances

12:30-12:45  Artem Smirnov: Neural network-based modelling of the topside ionosphere using Vary-Chapman function with a linear scale height decay

12:45-13:00  Matthias Aichinger-Rosenberger: Prediction of Alpine Foehn from time series of GNSS troposphere products using machine learning

13:00-14:15  Lunch Break

 

14:15-15:30 | S1.2: Machine Learning for GNSS Remote Sensing
Chairs: Adriano Camps, Milad Asgarimehr

14:15:14:30  Zohreh Adavi: Determination of Hourly GNSS Precipitable Water Vapour using Machine Learning in the Eastern Part of Austria

14:30-14:45  Narin Gavilikilane: A Physics-informed neural network approach in CYGNSS soil moisture retrieval

14:45-15:00  Caroline Arnold: Deep learning for extreme wind speed prediction with CyGNSSnet

15:00-15:15  Stylianos Kossieris: Unsupervised Machine Learning for GNSS Reflectometry Inland Water Body Detection

15:15-15:30  Daixin Zhao: Exploring Transformer Networks for GNSS-R Data

15.30-16:00  Coffee break

 

16:00-17:30 Poster session

 

17:30-21:00 Icebreaker, option for visiting the great refractor and Einstein tower at the Science Park Albert Einstein on Telegrafenberg hill

Tuesday, June 14, 2022

9:00-10.30 | S2: GNSS Remote Sensing data fusion with other observations
Chairs: Philip Jales, Mainul Hoque

​09:00-09:30  Adriano Camps: Geophysical parameter retrievals using combined GNSS-R, microwave radiometry and VNIR observations with the FSSCat mission: A Neural Network Approach

09:30-09:45  Vahid Freeman: Fusion of Spire GNSS-R, CYGNSS, and SMAP soil moisture data products

09:45-10:00  Tianqi Xiao: Deep learning in spaceborne GNSS-R: Correcting the geophysical effects on wind speed products

10:00-10:15  Maximilian Semmling: Data Fusion to estimate sea-ice permittivity: a GNSS processor for 1-year MOSAiC data

10:15-10:30  Jessica Cartwright: Data fusion of dual geometry GNSS-Reflectometry measurements over the cryosphere from Spire’s nanosatellite constellation

10:30-11:00 Coffee Break

 

11.00-12:30 | S2.2: GNSS Remote Sensing data fusion with other observations
Chairs: Maximilian Semmling, Jessica Cartwright

​11:00-11:30  Philip Jales: Spire GNSS-R data products and observations for surface characterisation

11:30-11:45  Mario Moreno: Atmospheric effects resolved in airborne GNSS reflectometry by data fusion processing

11:45-12:00  Wenyuan Zhang: The Fusion of GNSS with FY-4A Satellite Observations to Atmospheric Water Vapor Tomography Using an Improved Node-based Parameterization Method

12:00-12:15  Volker Wilken: The Evil Waveform and Ionospheric Characterization Monitoring Network (MoNEWIC) Project

12:30-14:00  Lunch break

 

14:00-15:30 | S3: Modeling and forecasts based on GNSS Remote Sensing including natural hazards
Chairs: Guergana Guerova, Karina Wilgan

​14:00-14:30  Mainul Hoque: A new electron density model for assisting remote sensing of Earth system observations

14:30-14:45  Lucie Rolland: GNSS-TEC remote sensing of earthquakes, tsunami and volcano eruptions: modeling and observations

14:45-15:00  Edhah Munaibari: Tsunami-induced ionospheric signatures database from GNSS-TEC observations

15:00-15:15  Marjolijn Adolfs: Nighttime Winter Anomaly feature reproduced by predictions from a neural network-based TEC model

15:15-15:30  Matthew Hammond: Retrieval of Precipitation from Spaceborne GNSS-Reflectometry

15:30-16:00  Coffee Break

 

16:00-17:30 | S3.2: Modeling and forecasts based on GNSS Remote Sensing including natural hazards
Chairs: Yuri Shprits, Gregor Moeller

16:00-16:15  Guergana Guerova: Real time GNSS storm nowcasting demonstrator for Bulgaria

16:15-16:30  Witold Rohm: GNSS-Based Machine Learning Storm Nowcasting

16:30-16:45  Vincenzo Mazzarella: Leveraging GNSS tropospheric delays to nowcast severe weather events by assimilation into WRF and by machine learning techniques: the hailstorm of 13 July 2021 on Milano Malpensa airport

16:45-17:00  Hugues Brenot: Multi-GNSS tomography and comparison with ICON-D2 forecasts for the flood in Europe in July 2021

17:00-17:15  Laura Crocetti: Machine learning algorithms for global modelling of Zenith Wet Delay based on GNSS measurements and meteorological data

17:15-17:30  Mutaz Wajeh Qafisheh: Establishing an early GNSS warning system using the random forest classifier

 

19:00-22:00  Riverboat with dinner

Wednesday, June 15, 2022

9:00-10:30 | S4: Assimilation of GNSS Remote Sensing data into geophysical models
Chairs: Witold Rohm, Florian Zus

​09:00-09:30  Dieter Bilitza: IRI and GNSS Data Assimilation – A Brief Review

09:30-09:45  Sean Elvidge: Assimilation of high-rate GNSS Observations into a Global Upper Atmosphere Model

​09:45-10:15  Ludger Scherliess: Thermospheric Neutral Winds Obtained from COSMIC Radio Occultation Measurements

10:15-10:30  Hui Christophersen: Assimilation of GNSS Zenith Total Delay in NAVGEM

10:30-11:00  Coffee Break

 

11:00-12:30 | S5: Mathematical methods for the analysis of GNSS Remote Sensing data
Chairs: Dieter Bilitza, Ludger Scherliess

11:00-11:15  Dong L. Wu: New Insights on Residual Ionospheric Effects (RIEs) from High-Top MetOp-A and Spire GNSS-RO Profiles

11:15-11:30  Paul David: Performance Indicator Application Development To Address The Impact Of Space Weather On GNSS

11:30-11:45  Yuanxin Pan: Automatic selection of crowdsourcing smartphone GNSS data for atmosphere sounding

11:45-12:00  Nikolaos Antonoglou: Soil moisture retrieved from multi-constellation and multi-frequency GNSS signals

12:00-12:15  Minfeng Song: Observation-driven Spaceborne GNSS-R Altimetry Model for Slope Surface

12:15-12:30  Roland Hohensinn: Sensitivity of Long-term GNSS to Vertical Land Motion: Effects of Geophysical Loading Corrections

12:30-12:45  Mostafa Hoseini: The Signatures of Ocean Surface Currents on GNSS-Reflectometry Observations

12:45-13:00  Hamza Issa: Airborne GNSS Signals Segmentation for Water Body Detection

13:00-14:00  Lunch break

 

14:00-14:30  Wrap-up

 

14:30-17:30  Tutorials

Caroline Arnold: Machine Learning for Remote Sensing

Florian Zus: Introduction to data assimilation

Remarks

All talks have 12 minutes presentation time and 3 min for discussion (total 15 min). Highlighted talks (marked with light grey color) have 25 min presentation time and 5 min for discussion (total 30 min).

We kindly ask to keep the time slot.

Top

​

Posters (will be displayed June 13-15, 2022)

16:00-17:30  Poster session, June 13, 2022

1. Karol Dawidowicz: Offsets in the EPN station position components resulting from antenna/radome changes: PCC type-dependent model analyses
2. Florian Zus: On the variational assimilation of GNSS zenith total delays and tropospheric gradients
3. Estera Trzcina: TOMOREF operator for assimilation of the GNSS tomography wet refractivity fields in the WRF DA system
4. Christina Arras: Could AI contribute to improve the quality of detection ionospheric irregularities in radio occultation profiles?
5. Nai-Yu Wang: Potential SmallSat GNSS-Reflectometry Flood Inundation Mapping Applications
6. Jan Michael Becker: Sea level monitoring with GNSS reflectometry based on non-parametric modelling
7. Gregor Moeller: Tomographic fusion strategies for the reconstruction of small-scale structures in the lower atmosphere
8. Matthieu Talpe: A supervised learning approach to refining tropospheric delay estimates for grazing-angle altimetry retrievals
9. Sebastian Knappe: GREF - The German Integrated Geodetic Reference Network
10. Ole Roggenbuck: Determination of the significant wave height at the FINO2 station using GNSS reflectometry [Displayed with 6]
11. Karolina Kume: Modelling global vertical total electron content with neural networks
12. Stamatia Panagiotopoulou: The use of UAV imagery equipped with multispectral camera for Precision Agriculture applications
13. Timothy Kodikara: Understanding the Systematic Errors of CHAMP Accelerometer-Derived Neutral Mass Density Data Using Data Assimilation
14. Naman Paul: The Canadian Optimized Statistical Smoke Exposure Model (CanOSSEM): A machine learning approach to estimate national daily fine particulate matter (PM2.5) exposure

Remarks

Posters shall be in A0 portrait format:

• height 1189 mm / 46.81 inches

• width 841 mm / 33.11 inches.

Poster boards are 1.38 m (54.3 inches) tall by 1.00 m (39.4 inches) wide. Supplies for mounting posters to boards will be available.

All posters are hung up for the entire workshop duration.

 

TOP