Zobrazeno 1 - 10
of 390
pro vyhledávání: '"A. Fettich"'
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 271-288 (2023)
We propose a new deep-learning architecture HIDRA2 for sea level and storm tide modeling, which is extremely fast to train and apply and outperforms both our previous network design HIDRA1 and two state-of-the-art numerical ocean models (a NEMO engin
Externí odkaz:
https://doaj.org/article/c9dfac1e2f9c465e869b5fae230b3f46
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 2057-2074 (2021)
Interactions between atmospheric forcing, topographic constraints to air and water flow, and resonant character of the basin make sea level modelling in the Adriatic a challenging problem. In this study we present an ensemble deep-neural-network-base
Externí odkaz:
https://doaj.org/article/d27a9ca5e28c4df891c62735ce0079ba
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 20, Pp 2335-2349 (2020)
On 29 October 2018 a windsurfer's mast broke about 1 km offshore from Istria during a severe scirocco storm in the northern Adriatic Sea. He drifted in severe marine conditions until he eventually beached alive and well in Sistiana (Italy) 24 h l
Externí odkaz:
https://doaj.org/article/99ab64c25f9a4570925815f8901f2012
Autor:
C. Ferrarin, A. Valentini, M. Vodopivec, D. Klaric, G. Massaro, M. Bajo, F. De Pascalis, A. Fadini, M. Ghezzo, S. Menegon, L. Bressan, S. Unguendoli, A. Fettich, J. Jerman, M. Ličer, L. Fustar, A. Papa, E. Carraro
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 20, Pp 73-93 (2020)
Addressing coastal risks related to sea storms requires an integrative approach which combines monitoring stations, forecasting models, early warning systems, and coastal management and planning. Such great effort is sometimes possible only through t
Externí odkaz:
https://doaj.org/article/a55adc4b69ef4c06b79292d22512150b
Autor:
M. Ličer, P. Smerkol, A. Fettich, M. Ravdas, A. Papapostolou, A. Mantziafou, B. Strajnar, J. Cedilnik, M. Jeromel, J. Jerman, S. Petan, V. Malačič, S. Sofianos
Publikováno v:
Ocean Science, Vol 12, Iss 1, Pp 71-86 (2016)
We have studied the performances of (a) a two-way coupled atmosphere–ocean modeling system and (b) one-way coupled ocean model (forced by the atmosphere model), as compared to the available in situ measurements during and after a strong Adriatic bo
Externí odkaz:
https://doaj.org/article/8cee126035b349c1b0f80a194657b43c
Autor:
Fettich-Biernath, Bettina
Publikováno v:
Geschichte und Gesellschaft, 2019 Oct 01. 45(4), 523-550.
Externí odkaz:
https://www.jstor.org/stable/26902814
Autor:
Rus, Marko1 (AUTHOR) marko.rus@fri.uni-lj.si, Fettich, Anja2 (AUTHOR), Kristan, Matej1 (AUTHOR), Ličer, Matjaž2,3 (AUTHOR)
Publikováno v:
Geoscientific Model Development. 2023, Vol. 16 Issue 1, p271-288. 18p.
Autor:
Sherman, Lauren E., Rosenbaum, Gail M., Smith, Ashley R., Botdorf, Morgan A., Fettich, Karla, Patrianakos, Jamie L., McCloskey, Michael, Steinberg, Laurence D., Chein, Jason M.
Publikováno v:
In NeuroImage 15 August 2019 197:264-272
Publikováno v:
Geoscientific Model Development. 16:271-288
We propose a new deep-learning architecture HIDRA2 for sea level and storm tide modeling, which is extremely fast to train and apply and outperforms both our previous network design HIDRA1 and two state-of-the-art numerical ocean models (a NEMO engin
Autor:
McCloskey, Michael S., Phan, K. Luan, Angstadt, Mike, Fettich, Karla C., Keedy, Sarah, Coccaro, Emil F.
Publikováno v:
In Journal of Psychiatric Research August 2016 79:34-41