Zobrazeno 1 - 10
of 256
pro vyhledávání: '"L. Fenoglio"'
Publikováno v:
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 32, Iss 1, Pp 1-6 (2024)
Abstract The probability of survival in avalanche accidents is time-dependent. Critically buried victims who undergo a long burial duration (over 60 min) face a possible mortality rate of over 80%. Understanding the physiological response during crit
Externí odkaz:
https://doaj.org/article/a3cda9b01d1a440a9301131bd110c490
Autor:
J. Benveniste, S. Dinardo, L. Fenoglio-Marc, C. Buchhaupt, M. Scagliola, M. Passaro, K. Nielsen, M. Restano, A. Ambrózio, G. Sabatino, C. Orrù, B. Abis
Publikováno v:
Proceedings of the International Association of Hydrological Sciences, Vol 385, Pp 457-463 (2024)
This paper presents the RDSAR, SAR/SARin & FF-SAR altimetry processors available in the ESA Altimetry Virtual Lab (AVL) hosted on the EarthConsole® platform. An overview on processors and features as well as preliminary analyses using AVL output dat
Externí odkaz:
https://doaj.org/article/a233b2ccebb74786866d1162cb933604
Publikováno v:
Hydrology and Earth System Sciences, Vol 23, Pp 4113-4128 (2019)
The Niger River represents a challenging target for deriving discharge from spaceborne radar altimeter measurements, particularly since most terrestrial gauges ceased to provide data during the 2000s. Here, we propose deriving altimetric rating curve
Externí odkaz:
https://doaj.org/article/d024e69508f849e8a85e159df91e4885
Publikováno v:
Ocean Science, Vol 14, Pp 1503-1521 (2018)
In this study, the quality of wave data provided by the new Sentinel-3A satellite is evaluated and the sensitivity of the wave model to wind forcing is tested. We focus on coastal areas, where altimeter data are of lower quality and wave modelling is
Externí odkaz:
https://doaj.org/article/13513a8ba75144208ebd37fd0688d76b
Autor:
J.-F. Legeais, M. Ablain, L. Zawadzki, H. Zuo, J. A. Johannessen, M. G. Scharffenberg, L. Fenoglio-Marc, M. J. Fernandes, O. B. Andersen, S. Rudenko, P. Cipollini, G. D. Quartly, M. Passaro, A. Cazenave, J. Benveniste
Publikováno v:
Earth System Science Data, Vol 10, Pp 281-301 (2018)
Sea level is a very sensitive index of climate change since it integrates the impacts of ocean warming and ice mass loss from glaciers and the ice sheets. Sea level has been listed as an essential climate variable (ECV) by the Global Climate Observin
Externí odkaz:
https://doaj.org/article/78549472f5694a74970c08c5091baa0d
Publikováno v:
Ocean Science, Vol 13, Iss 2, Pp 289-301 (2017)
The coupling of models is a commonly used approach when addressing the complex interactions between different components of earth systems. We demonstrate that this approach can result in a reduction of errors in wave forecasting, especially in dynami
Externí odkaz:
https://doaj.org/article/e40349f2b3f64d829f9b3010289987b1
Coastal flooding: impact of waves on storm surge during extremes – a case study for the German Bight
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 16, Pp 2373-2389 (2016)
This study addresses the impact of wind, waves, tidal forcing and baroclinicity on the sea level of the German Bight during extreme storm events. The role of wave-induced processes, tides and baroclinicity is quantified, and the results are compar
Externí odkaz:
https://doaj.org/article/c563b0aa6fff42eaa8a036464517d42f
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide associatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::63a0ce7b1d6bed01c590263e79b20b1a
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3219151
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3219151
