Zobrazeno 1 - 10
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pro vyhledávání: '"Dawson, Clint"'
We present a novel method for generating sequential parameter estimates and quantifying epistemic uncertainty in dynamical systems within a data-consistent (DC) framework. The DC framework differs from traditional Bayesian approaches due to the incor
Externí odkaz:
http://arxiv.org/abs/2405.08307
Autor:
Giaremis, Stefanos, Nader, Noujoud, Dawson, Clint, Kaiser, Hartmut, Kaiser, Carola, Nikidis, Efstratios
Physics simulation results of natural processes usually do not fully capture the real world. This is caused for instance by limits in what physical processes are simulated and to what accuracy. In this work we propose and analyze the use of an LSTM-b
Externí odkaz:
http://arxiv.org/abs/2403.04818
During hurricanes, coupled wave-circulation models are critical tools for public safety. The standard approach is to use a high fidelity circulation model coupled with a wave model which uses the most advanced source terms. As a result, the models ca
Externí odkaz:
http://arxiv.org/abs/2310.06199
The prediction of the wind wave spectrum of the ocean using numerical models are an important tool for researchers, engineers, and communities living in coastal areas. The governing equation of the wind wave models, the Wave Action Balance Equation,
Externí odkaz:
http://arxiv.org/abs/2308.00817
Flood inundation forecast provides critical information for emergency planning before and during flood events. Real time flood inundation forecast tools are still lacking. High-resolution hydrodynamic modeling has become more accessible in recent yea
Externí odkaz:
http://arxiv.org/abs/2307.16090
Autor:
Wichitrnithed, Chayanon, Valseth, Eirik, Kubatko, Ethan J., Kang, Younghun, Hudson, Mackenzie, Dawson, Clint
Recent tropical cyclones, e.g., Hurricane Harvey (2017), have lead to significant rainfall and resulting runoff with accompanying flooding. When the runoff interacts with storm surge, the resulting floods can be greatly amplified and lead to effects
Externí odkaz:
http://arxiv.org/abs/2307.14302
A recently developed measure-theoretic framework solves a stochastic inverse problem (SIP) for models where uncertainties in model output data are predominantly due to aleatoric (i.e., irreducible) uncertainties in model inputs (i.e., parameters). Th
Externí odkaz:
http://arxiv.org/abs/2212.04587
The development of surrogate models to study uncertainties in hydrologic systems requires significant effort in the development of sampling strategies and forward model simulations. Furthermore, in applications where prediction time is critical, such
Externí odkaz:
http://arxiv.org/abs/2205.11396
Autor:
Pachev, Benjamin, Arora, Prateek, del-Castillo-Negrete, Carlos, Valseth, Eirik, Dawson, Clint
Storm surge is a major natural hazard in coastal regions, responsible both for significant property damage and loss of life. Accurate, efficient models of storm surge are needed both to assess long-term risk and to guide emergency management decision
Externí odkaz:
http://arxiv.org/abs/2204.13168