Zobrazeno 1 - 10
of 38
pro vyhledávání: '"P Kettig"'
Autor:
Nguyen, Thanh Huy, Ricci, Sophie, Piacentini, Andrea, Suquet, Raquel Rodriguez, Blanchet, Gwendoline, Luque, Santiago Pena, Kettig, Peter
Publikováno v:
Proceedings of the 28th TELEMAC-MASCARET User Conference 2022
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 the assimilation of 2D flood extent data, expressed in terms of wet surf
Externí odkaz:
http://arxiv.org/abs/2211.07272
Autor:
Nguyen, Thanh Huy, Ricci, Sophie, Piacentini, Andrea, Fatras, Christophe, Kettig, Peter, Blanchet, Gwendoline, Luque, Santiago Pena, Baillarin, Simon
Publikováno v:
IOP Conf. Ser.: Earth Environ. Sci., 1136 (2023)
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, Alert and rapid Mapping (FloodDAM) project, funded by Space for Climate Ob
Externí odkaz:
http://arxiv.org/abs/2205.08471
Autor:
Nguyen, Thanh Huy, Ricci, Sophie, Fatras, Christophe, Piacentini, Andrea, Delmotte, Anthéa, Lavergne, Emeric, Kettig, Peter
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 hydrodynamic models to correct the hydraulic states and reduce the uncert
Externí odkaz:
http://arxiv.org/abs/2109.08487
Autor:
Nguyen, Thanh Huy, Delmotte, Anthéa, Fatras, Christophe, Kettig, Peter, Piacentini, Andrea, Ricci, Sophie
Publikováno v:
Proceedings of the 27th TELEMAC-MASCARET User Conference 2021
Relevant comprehension of flood hazards has emerged as a crucial necessity, especially as the severity and the occurrence of flood events intensify with climate changes. Flood simulation and forecast capability have been greatly improved thanks to ad
Externí odkaz:
http://arxiv.org/abs/2109.07470
Autor:
Devine S. Frundi, Eva Kettig, Lena Luise Popp, Melanie Hoffman, Marine Dumartin, Magali Hughes, Edgar Lamy, Yvonne Joko Walburga Fru, Arjola Bano, Taulant Muka, Matthias Wilhelm
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
BackgroundType 2 diabetes (T2D) is associated with limitation in physical performance. Results from animal studies report enhancement of physical performance in T2D rodents treated with sodium glucose cotransporter 2 inhibitors (SGLT2is). However, in
Externí odkaz:
https://doaj.org/article/09f03adb9adc4912b960b110eb4f05fa
Autor:
Jérôme Colin, Olivier Hagolle, Lucas Landier, Sophie Coustance, Peter Kettig, Aimé Meygret, Julien Osman, Eric Vermote
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2665 (2023)
The correction of atmospheric effects on optical remote sensing products is an essential component of Analysis Ready Data (ARD) production lines. The MAJA processor aims at providing accurate time series of surface reflectances over land for satellit
Externí odkaz:
https://doaj.org/article/7a75de0eb6564c378024b2024554b253
Autor:
O. Hagolle, J. Colin, S. Coustance, P. Kettig, P. D’Angelo, S. Auer, G. Doxani, C. Desjardins
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-1-2021, Pp 9-15 (2021)
To allow for a robust and automatic exploitation of Sentinel-2 data, Analysis Ready Data (ARD) products are requested by most users. The processors of ARD products take care of the common burdens necessary for most applications, that include precise
Externí odkaz:
https://doaj.org/article/d60d2a5ede464cd286dd56db94062b1f
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