Zobrazeno 1 - 10
of 169
pro vyhledávání: '"Tandeo, P"'
Autor:
Beauchamp, Maxime, Fablet, Ronan, Benaichouche, Simon, Tandeo, Pierre, Desassis, Nicolas, Chapron, Bertrand
The spatio-temporal interpolation of large geophysical datasets has historically been addressed by Optimal Interpolation (OI) and more sophisticated equation-based or data-driven Data Assimilation (DA) techniques. Recent advances in the deep learning
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
Publikováno v:
Climate of the Past, Vol 20, Pp 2267-2286 (2024)
The surge residual is the non-tidal component of coastal sea level. It responds to the atmospheric circulation, including the direct effect of atmospheric pressure on the sea surface. Tide gauges have been used to measure the sea level in coastal cit
Externí odkaz:
https://doaj.org/article/844b6181e6964bfd8293a75fc861fb02
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
Publikováno v:
Nonlinear Processes in Geophysics, Vol 31, Pp 303-317 (2024)
In geosciences, multi-model ensembles are helpful to explore the robustness of a range of results. To obtain a synthetic and improved representation of the studied dynamic system, the models are usually weighted. The simplest method, namely the model
Externí odkaz:
https://doaj.org/article/e4bab8d423914e2bb0bd8d109dae0301
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:
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