Learning Sea Surface Height Interpolation From Multi‐Variate Simulated Satellite Observations

Autor: Théo Archambault, Arthur Filoche, Anastase Charantonis, Dominique Béréziat, Sylvie Thiria

Publikováno v: Journal of Advances in Modeling Earth Systems, Vol 16, Iss 6, Pp n/a-n/a (2024)

Abstract Satellite‐based remote sensing missions have revolutionized our understanding of the Ocean state and dynamics. Among them, space‐borne altimetry provides valuable Sea Surface Height (SSH) measurements, used to estimate surface geostrophi

Externí odkaz: https://doaj.org/article/dc4da34daa6d4378a058f6ede4432d2d

Sea surface height super-resolution using high-resolution sea surface temperature with a subpixel convolutional residual network

Autor: Théo Archambault, Anastase Charantonis, Dominique Béréziat, Carlos Mejia, Sylvie Thiria

Publikováno v: Environmental Data Science, Vol 1 (2022)

The oceans have a very important role in climate regulation due to their massive heat storage capacity. Thus, for the past decades, oceans have been observed by satellites to better understand their dynamics. Satellites retrieve several data with var

Externí odkaz: https://doaj.org/article/c8bad69de5154cc6aaa381c01ecc8c4f

Motion and acceleration from image assimilation with evolution models

Autor: Dominique Béréziat, Isabelle Herlin

Publikováno v: Digital Signal Processing
Digital Signal Processing, Elsevier, 2018, 83, pp.45-58. ⟨10.1016/j.dsp.2018.08.008⟩
Digital Signal Processing, 2018, 83, pp.45-58. ⟨10.1016/j.dsp.2018.08.008⟩

International audience; Image sequences allow visualizing dynamic systems and understanding their intrinsic characteristics. One first component of this dynamics is retrieved from the estimation of the velocity displayed on the sequence. Motion estim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89a9a9730e5290a59e1e58b522dbe86b
https://doi.org/10.1016/j.dsp.2018.08.008

Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting

Autor: Julien Brajard, Arthur Filoche, Vincent Bouget, Anastase Alexandre Charantonis, Dominique Béréziat

Publikováno v: Remote Sensing, Vol 13, Iss 246, p 246 (2021)
Remote Sensing
Remote Sensing, MDPI, 2021, 13 (2), pp.246. ⟨10.3390/rs13020246⟩
Remote Sensing, 2021, 13 (2), pp.246. ⟨10.3390/rs13020246⟩
Remote Sensing; Volume 13; Issue 2; Pages: 246

Short- or mid-term rainfall forecasting is a major task with several environmental applications such as agricultural management or flood risk monitoring. Existing data-driven approaches, especially deep learning models, have shown significant skill a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bf29f2bac7627989b7606781833d4c0
http://arxiv.org/abs/2012.05015

Rain Nowcasting from Multiscale Radar Images

Autor: Isabelle Herlin, Aniss Zébiri, Dominique Béréziat, Etienne Huot

Publikováno v: VISAPP 2019-14th International Conference on Computer Vision Theory and Applications
VISAPP 2019-14th International Conference on Computer Vision Theory and Applications, Feb 2019, Prague, Czech Republic. pp.1-9, ⟨10.5220/0007566908920900⟩
VISIGRAPP (5: VISAPP)

International audience; Rainfall forecasting is a major issue for anticipating severe meteorological events and for agriculture management. Weather radar imaging has been identified in the literature as the best way to measure rainfall on a large dom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37f33e642d8f4a7352e3b8519f9d3d8c
https://hal.archives-ouvertes.fr/hal-02048500