Zobrazeno 1 - 4
of 4
pro vyhledávání: '"T. P. Sapsis"'
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 3, Pp n/a-n/a (2024)
Abstract Due to the rapidly changing climate, the frequency and severity of extreme weather is expected to increase over the coming decades. As fully‐resolved climate simulations remain computationally intractable, policy makers must rely on coarse
Externí odkaz:
https://doaj.org/article/857a65e9d48e46ba857b4da0245ef22d
Autor:
D. Eeltink, H. Branger, C. Luneau, Y. He, A. Chabchoub, J. Kasparian, T. S. van den Bremer, T. P. Sapsis
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Wave breaking mechanisms relevant for modelling of ocean-atmosphere interaction and rogue waves, remain computationally challenging. The authors propose a machine learning framework for prediction of breaking and its effects on wave evolution that ca
Externí odkaz:
https://doaj.org/article/b596ee162db7404d9116c5a2271f42c4
Publikováno v:
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 380
Solving the population balance equation (PBE) for the dynamics of a dispersed phase coupled to a continuous fluid is expensive. Still, one can reduce the cost by representing the evolving particle density function in terms of its moments. In particul
Autor:
D, Eeltink, H, Branger, C, Luneau, Y, He, A, Chabchoub, J, Kasparian, T S, van den Bremer, T P, Sapsis
Publikováno v:
Nature communications. 13(1)
Wave breaking is the main mechanism that dissipates energy input into ocean waves by wind and transferred across the spectrum by nonlinearity. It determines the properties of a sea state and plays a crucial role in ocean-atmosphere interaction, ocean