79 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre Européen de Recherche et de Formation Avancée en Calcul ScientifiqueFR15 papers
- Centre National de la Recherche ScientifiqueFR11 papers
- American Association of Variable Star ObserversUS6 papers
- British Astronomical AssociationGB6 papers
- Bundesdeutsche Arbeitsgemeinschaft für Veränderliche SterneDE6 papers
- Kyoto UniversityJP6 papers
- Osaka Kyoiku UniversityJP6 papers
- Universidad de HuelvaES6 papers
- Vihorlat ObservatorySK6 papers
- Astronomical Institute of the Slovak Academy of SciencesSK5 papers
- Bronberg ObservatoryZA5 papers
- Centre National d'Études SpatialesFR5 papers
25 papers
An Introduction to Solving the Least-Squares Problem in Variational Data Assimilation
I. Daužickaitė, M. A. Freitag, S. Gürol +4
Variational data assimilation is a technique for combining measured data with dynamical models. It is a key component of Earth system state estimation and is commonly used in weath…
Remote Sensing Data Assimilation with a Chained Hydrologic-hydraulic Model for Flood Forecasting
Thanh Huy Nguyen, Andrea Piacentini, Sophie Ricci +4
A chained hydrologic-hydraulic model is implemented using predicted runoff from a large-scale hydrologic model (namely ISBA-CTRIP) as inputs to local hydrodynamic models (TELEMAC-2…
Assimilation of SWOT Altimetry and Sentinel-1 Flood Extent Observations for Flood Reanalysis -- A Proof-of-Concept
Thanh Huy Nguyen, Sophie Ricci, Andrea Piacentini +3
In spite of astonishing advances and developments in remote sensing technologies, meeting the spatio-temporal requirements for flood hydrodynamic modeling remains a great challenge…
Multilevel Surrogate-based Control Variates
Mohamed Reda El Amri, Paul Mycek, Sophie Ricci +1
Monte Carlo (MC) sampling is a popular method for estimating the statistics (e.g. expectation and variance) of a random variable. Its slow convergence has led to the emergence of a…
Multivariate extensions of the Multilevel Best Linear Unbiased Estimator for ensemble-variational data assimilation
Mayeul Destouches, Paul Mycek, Selime Gürol
Multilevel estimators aim at reducing the variance of Monte Carlo statistical estimators, by combining samples generated with simulators of different costs and accuracies. In parti…
Boundary Conditions for the Parametric Kalman Filter forecast submited
M. Sabathier, O. Pannekoucke, V. Maget +1
This paper is a contribution to the exploration of the parametric Kalman filter (PKF), which is an approximation of the Kalman filter, where the error covariances are approximated…
Enhancing Flood Forecasting with Dual State-Parameter Estimation and Ensemble-based SAR Data Assimilation
Thanh Huy Nguyen, Sophie Ricci, Andrea Piacentini +4
Ensemble data assimilation in flood forecasting depends strongly on the density, frequency and statistics of errors associated with the observation network. This work focuses on th…
A general error analysis for randomized low-rank approximation methods
Youssef Diouane, Selime Gürol, Alexandre Scotto Di Perrotolo +1
We propose a general error analysis related to the low-rank approximation of a given real matrix in both the spectral and Frobenius norms. First, we derive deterministic error boun…
Assimilation of SAR-derived Flood Observations for Improving Fluvial Flood Forecast
Thanh Huy Nguyen, Sophie Ricci, Andrea Piacentini +5
As the severity and occurrence of flood events tend to intensify with climate change, the need for flood forecasting capability increases. In this regard, the Flood Detection, Aler…
Improvement of Flood Extent Representation with Remote Sensing Data and Data Assimilation
Thanh Huy Nguyen, Sophie Ricci, Christophe Fatras +4
Flood simulation and forecast capability have been greatly improved thanks to advances in data assimilation. Such an approach combines in-situ gauge measurements with numerical hyd…
Surrogate-based variational data assimilation for tidal modelling
Rem-Sophia Mouradi, Cédric Goeury, Olivier Thual +2
Data assimilation (DA) is widely used to combine physical knowledge and observations. It is nowadays commonly used in geosciences to perform parametric calibration. In a context of…
Ongoing flyby in the young multiple system UX Tauri
F. Menard, N. Cuello, C. Ginski +28
We present observations of the young multiple system UX Tauri to look for circumstellar disks and for signs of dynamical interactions. We obtained SPHERE/IRDIS deep differential po…
Physically interpretable machine learning algorithm on multidimensional non-linear fields
Rem-Sophia Mouradi, Cédric Goeury, Olivier Thual +2
In an ever-increasing interest for Machine Learning (ML) and a favorable data development context, we here propose an original methodology for data-based prediction of two-dimensio…
Modulation of the occurrence of heat waves over the Euro-Mediterranean region by the intensity of the Atlantic Multidecadal Variability
Saïd Qasmi, Emilia Sanchez-Gomez, Yohan Ruprich-Robert +2
The influence of the Atlantic Multidecadal Variability (AMV) and its amplitude on the Euro-Mediterranean summer climate is studied in two climate models, namely CNRM-CM5 and EC-Ear…
Teleconnection processes linking the intensity of the Atlantic Multidecadal Variability to the climate impacts over Europe in boreal winter
Saïd Qasmi, Christophe Cassou, Julien Boé
The teleconnection between European climate and Atlantic Multidecadal Variability (AMV) remains difficult to isolate in observations because of internal variability and anthropogen…
Reconstruction of Hydraulic Data by Machine Learning
Corentin J. Lapeyre, Nicolas Cazard, Pamphile T. Roy +2
Numerical simulation models associated with hydraulic engineering take a wide array of data into account to produce predictions: rainfall contribution to the drainage basin (charac…
The Origins of Young Stars in the Direction of the Leading Arm of the Magellanic Stream: Abundances, Kinematics, and Orbits
Lan Zhang, Dana I. Casetti-Dinescu, Christian Moni Bidin +6
We explore the origins of the young B-type stars found by Casetti-Dinescu et al.(2014) at the outskirts of the Milky-Way disk in the sky region of Leading Arm of the Magellanic Str…
Comparison of Polynomial Chaos and Gaussian Process surrogates for uncertainty quantification and correlation estimation of spatially distributed open-channel steady flows
Pamphile Tupui Roy, Nabil El Moçayd, Sophie Ricci +4
Data assimilation is widely used to improve flood forecasting capability, especially through parameter inference requiring statistical information on the uncertain input parameters…
Survey of Period Variations of Superhumps in SU UMa-Type Dwarf Novae. VIII: The Eighth Year (2015-2016)
Taichi Kato, Franz-Josef Hambsch, Berto Monard +75
Continuing the project described by Kato et al. (2009, arXiv:0905.1757), we collected times of superhump maxima for 128 SU UMa-type dwarf novae observed mainly during the 2015-2016…
Survey of Period Variations of Superhumps in SU UMa-Type Dwarf Novae. VII: The Seventh Year (2014-2015)
Taichi Kato, Franz-Josef Hambsch, Pavol A. Dubovsky +89
Continuing the project described by Kato et al. (2009, arXiv:0905.1757), we collected times of superhump maxima for 102 SU UMa-type dwarf novae observed mainly during the 2014-2015…
Survey of Period Variations of Superhumps in SU UMa-Type Dwarf Novae. V: The Fifth Year (2012-2013)
Taichi Kato, Franz-Josef Hambsch, Hiroyuki Maehara +84
Continuing the project described by Kato et al. (2009a, arXiv:0905.1757), we collected times of superhump maxima for SU UMa-type dwarf novae mainly observed during the 2012-2013 se…
WZ Sge-type dwarf novae with multiple rebrightenings: MASTER OT J211258.65+242145.4 and MASTER OT J203749.39+552210.3
Chikako Nakata, Tomohito Ohshima, Taichi Kato +25
We report on photometric observations of WZ Sge-type dwarf novae, MASTER OT J211258.65+242145.4 and MASTER OT J203749.39+552210.3 which underwent outbursts in 2012. Early superhump…
Survey of Period Variations of Superhumps in SU UMa-Type Dwarf Novae. IV: The Fourth Year (2011-2012)
Taichi Kato, Franz-Josef Hambsch, Hiroyuki Maehara +85
Continuing the project described by Kato et al. (2009, arXiv:0905.1757), we studied 86 SU UMa-type dwarf novae. We confirmed the general trends such as the relation between period…
Survey of Period Variations of Superhumps in SU UMa-Type Dwarf Novae. III: The Third Year (2010--2011)
Taichi Kato, Hiroyuki Maehara, Ian Miller +75
Continuing the project described by Kato et al. (2009, PASJ 61, S395, arXiv:0905.1757), we collected times of superhump maxima for 51 SU UMa-type dwarf novae mainly observed during…