A5031104380- Geophysics and Gravity Measurements
- GNSS positioning and interference
- Inertial Sensor and Navigation
- Time Series Analysis and Forecasting
- Ionosphere and magnetosphere dynamics
- Meteorological Phenomena and Simulations
- Agriculture and Rural Development Research
- Climate variability and models
- earthquake and tectonic studies
- Statistical and numerical algorithms
- Seismic Waves and Analysis
- Soil Moisture and Remote Sensing
- Earthquake Detection and Analysis
- Soil Geostatistics and Mapping
- Ocean Waves and Remote Sensing
- Geochemistry and Geologic Mapping
- Seismology and Earthquake Studies
- Big Data Technologies and Applications
- Advanced Computational Techniques and Applications
- Aeolian processes and effects
- High-pressure geophysics and materials
- Image Processing and 3D Reconstruction
- Complex Systems and Time Series Analysis
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Measurement and Metrology Techniques
Institut de physique du globe de Paris
2022-2024
Université Paris Cité
2023-2024
Centre National de la Recherche Scientifique
2019-2024
LIttoral ENvironnement et Sociétés
2019-2023
Royal Observatory of Belgium
2021-2023
Centre National d'Études Spatiales
2023
University of Liège
2018-2022
La Rochelle Université
2019-2022
Sciences, Philosophie, Histoire
2018-2019
Abstract. A new reanalysis of Global Navigation Satellite System (GNSS) data at or near tide gauges worldwide was produced by the University La Rochelle (ULR) group within third International GNSS Service (IGS) reprocessing campaign (repro3). The solution, called ULR-repro3, complies with IGS standards adopted for repro3, implementing advances in modelling and corrections since previous extending average record length about 7 years. results presented here focus on main products interest sea...
Abstract Monitoring vertical land motions (VLMs) at the level of 0.1 mm/yr remains one most challenging scientific applications global navigation satellite systems (GNSS). Such small rates change can result from climatic and tectonic phenomena, their detection is important to many solid Earth‐related studies, including prediction coastal sea‐level understanding intraplate deformation. Reaching a precision allowing detect such signals requires thorough stochastic variability in GNSS VLM time...
Estimating trends from Climate Data Records (CDRs) of Essential Variables (ECVs) is necessary to detect persistent changes in Earth’s climate and geophysical processes states. Accurately describing trend uncertainty also essential determining the significance observed attributing drivers. However, despite importance uncertainty, no established assessment approach properly accounts for all known sources uncertainty. Most approaches either neglect part measurement such as system...
New realizations of the International Terrestrial Reference System (ITRS) were recently released by three ITRS combination centers: ITRF2020 IGN (France), DTRF2020 DGFI-TUM (Germany) and JTRF2020 JPL (USA). The solutions are based on same reprocessed data from four space geodetic techniques (DORIS, GNSS, SLR, VLBI). However, strategies used centers to combine these input into their respective differ in several key aspects, such as modeling time-varying station trajectories, connection...
Monthly estimates of the Earth’s gravity field based on GRACE/-FO missions have enabled decisive progress in quantification and understanding mass transfers Earth system. However, raw level 2 solutions are affected by large errors form North-South stripes. Several filtering methods been developed to isolate signal from these errors, either spatial covariance models (gaussian filters, DDK filters), or statistical decomposition techniques (PCA, ICA, SSA, M-SSA). This presentation...
Understanding the mechanisms of crustal deformation along convergent margins is critical to identifying seismogenic structures and assessing earthquake hazards for nearby urban centers. In southern central Andes (28-33[Formula: see text]S), differences in style middle upper-crustal associated seismicity are highlighted by January 19th, 2021 (Mw 6.5) San Juan earthquake. We integrate waveforms recorded at regional teleseismic distances with co-seismic displacements calculated from local...
Abstract This study proposes a method for the cross calibration of tide gauges. Based on combination at least three collocated sea level time series, it takes advantage squares variance component estimation (LS-VCE) to assess both biases and uncertainties in real conditions. The was applied multi-instrument experiment carried out Aix Island, France, 2016. Six gauges were deployed carry simultaneous recordings 11 h. best results obtained with an electrical contact probe, which reaches 3-mm...
Abstract Extreme events will become more common due to global change, requiring enhanced monitoring and pushing conventional observation networks their limits. This encourages us combine all the possible sources of information obtain a complete picture extreme evolution. commentary builds on an example July 2021 catastrophic floods that hit northwest Europe, for which use seismometer gravimeter captures complementary data brings new understanding event its dynamics. A sudden increase in...
Quantifying the uncertainty associated with parameter estimates is crucial for a wide range of geophysical and climate applications. This particularly important interpreting long-term trends quantities interest, such as ground displacement, sea level, water storage (among others), estimated from time series. Unfortunately, our imperfect understanding measurement error sources intrinsic stochastic behavior interest often makes it difficult to realistically assess trend estimates. One...
Today, Global Navigation Satellite Systems (GNSS) are widely used to study the kinematics of Earth's surface and provide a fundamental contribution establishment terrestrial reference frames. GNSS station position time series derived by different analysis centres, which have achieved tremendous progress over years. Nevertheless, remain polluted stochastic variations – often called "noise" hinder their geophysical interpretation frames.Many studies evidenced that these exhibit both...
<p>Understanding and modelling the properties of stochastic variability -- often referred to as noise in geodetic time series is crucial obtain realistic uncertainties for deterministic parameters, e.g., long-term velocities, helpful characterizing non-modelled processes. With ever-increasing span series, it expected that additional observations would help better understanding low-frequency variability. In meantime, recent studies evidenced choice functional model may bias...
Abstract. A new reanalysis of GNSS data at or near tide gauges worldwide was produced by the university La Rochelle (ULR) group within 3rd International Service (IGS) reprocessing campaign (repro3). The solution, called ULR-repro3, complies with IGS standards adopted for repro3, implementing advances in modelling and corrections since previous campaign, extending average record length about 7 years. results presented here focus on main products interest sea level science, that is, station...
Thousands of permanent GNSS stations sample nowadays the 3D deformation Earth’s surface. The temporal covariance structure field station displacements is well characterized and modelled. On other hand, there lacks a general agreed-upon model its spatial structure, in part because theory random vector fields on sphere remains hardly developed.In this contribution, we show how well-established isotropic scalar generalizes to case fields. We derive particular spectral representation...