Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Tandeo, Pierre"'
Autor:
Beauchamp, Maxime, Desassis, Nicolas, Johnson, J. Emmanuel, Benaichouche, Simon, Tandeo, Pierre, Fablet, Ronan
The spatio-temporal interpolation of large geophysical datasets has historically been adressed by Optimal Interpolation (OI) and more sophisticated model-based or data-driven DA techniques. In the last ten years, the link established between Stochast
Externí odkaz:
http://arxiv.org/abs/2402.01855
Quantifying forecast uncertainty is a key aspect of state-of-the-art numerical weather prediction and data assimilation systems. Ensemble-based data assimilation systems incorporate state-dependent uncertainty quantification based on multiple model i
Externí odkaz:
http://arxiv.org/abs/2305.08874
Autor:
Cheng, Sibo, Quilodran-Casas, Cesar, Ouala, Said, Farchi, Alban, Liu, Che, Tandeo, Pierre, Fablet, Ronan, Lucor, Didier, Iooss, Bertrand, Brajard, Julien, Xiao, Dunhui, Janjic, Tijana, Ding, Weiping, Guo, Yike, Carrassi, Alberto, Bocquet, Marc, Arcucci, Rossella
Data Assimilation (DA) and Uncertainty quantification (UQ) are extensively used in analysing and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical applications span from computational fluid dynamics (CFD) to geoscience
Externí odkaz:
http://arxiv.org/abs/2303.10462
Publikováno v:
In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023), Vol. 16, pp. 8586-8594
Synthetic Aperture Radar is known to be able to provide high-resolution estimates of surface wind speed. These estimates usually rely on a Geophysical Model Function (GMF) that has difficulties accounting for non-wind processes such as rain events. C
Externí odkaz:
http://arxiv.org/abs/2303.09200
Autor:
Colin, Aurélien, Tandeo, Pierre, Peureux, Charles, Husson, Romain, Longépé, Nicolas, Fablet, Ronan
Remote sensing of rainfall events is critical for both operational and scientific needs, including for example weather forecasting, extreme flood mitigation, water cycle monitoring, etc. Ground-based weather radars, such as NOAA's Next-Generation Rad
Externí odkaz:
http://arxiv.org/abs/2207.07333
Autor:
Muller, Héloïse, Auclair, Etienne, Woehrel, Aubin, Ganthy, Florian, Tandeo, Pierre, Wu, Paul Pao-Yen, Chercham, Carolyne, Marzloff, Martin Pierre
Publikováno v:
In Ecological Modelling September 2024 495
Autor:
Granero-Belinchon, Carlos, Roux, Stéphane G., Garnier, Nicolas B., Tandeo, Pierre, Bertrand, Chapron, Mouche, Alexis
We study the shape of convective rolls in the Marine Atmospheric Boundary Layer from Synthetic Aperture Radar images of the ocean. We propose a multiscale analysis with structure functions which allow an easy generalization to analyse high-order stat
Externí odkaz:
http://arxiv.org/abs/2202.08538
Ensemble forecasting is, so far, the most successful approach to produce relevant forecasts with an estimation of their uncertainty. The main limitations of ensemble forecasting are the high computational cost and the difficulty to capture and quanti
Externí odkaz:
http://arxiv.org/abs/2111.14844
Autor:
Platzer, Paul, Yiou, Pascal, Naveau, Philippe, Filipot, Jean-François, Thiebaut, Maxime, Tandeo, Pierre
Some properties of chaotic dynamical systems can be probed through features of recurrences, also called analogs. In practice, analogs are nearest neighbours of the state of a system, taken from a large database called the catalog. Analogs have been u
Externí odkaz:
http://arxiv.org/abs/2101.10640
The performance of ensemble-based data assimilation techniques that estimate the state of a dynamical system from partial observations depends crucially on the prescribed uncertainty of the model dynamics and of the observations. These are not usuall
Externí odkaz:
http://arxiv.org/abs/2003.02109