Meetings/Workshops on Computational Physics and Numerical Simulation in the United States (USA)

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1
Prediction and Variability of Air-Sea Interactions: the South Asian Monsoon
23 Aug 2021 - 27 Aug 2021 • Providence, United States
Organizer:
ICERM
Abstract:
A challenge for mathematical modeling, from toy dynamical system models to full weather and climate models, is applying data assimilation and dynamical systems techniques to models that exhibit chaos and stochastic variability in the presence of coupled slow and fast modes of variability. Recent collaborations between universities and government agencies in India and the United States have resulted in detailed observations of oceanic and atmospheric processes in the Bay of Bengal, the Arabian Sea, and the Indian Ocean, collectively observing many coupled modes of variability. One key target identified by these groups was the improvement of forecasts of variability of the summer monsoon, which significantly affects agriculture and water management practices throughout South Asia. The Monsoon Intraseasonal Oscillation is a northward propagating mode of precipitation variability and is one of the most conspicuous examples of coupled atmosphere-ocean processes during the summer monsoon. Simulating coupled atmosphere-ocean processes present mathematical challenges spanning numerical methods, data assimilation, stochastic modeling, dynamical systems and chaos, and uncertainty quantification. Predicting monsoon variability is one of the hardest, most important forecasting problems on earth due to its impact on billions of people, a key aspect of the desire to push weather forecasts into the management-actionable “medium-range” horizon of weeks to seasons. Addressing this challenge requires an interdisciplinary effort to combine observations, computation, and theory. A better understanding of these processes and how they can be represented in a variety of coupled ocean-atmosphere simulations and models (including statistical and dynamical approaches) and forecast systems (including data assimilation techniques and uncertainty quantification) is the primary topic of this workshop. While the set of observations to be discussed will emphasize this region, the mathematical and computational aspects of the program will be significantly broader, covering: coupled ocean-atmosphere modeling for weather models, climate models and idealized models; theory of the atmospheric and oceanic boundary layers, and waves on the interface; data assimilation in coupled modeling systems; and numerical methods for coupled systems.
Contact:
Program Coordinator;     Phone: [401-863-5030];     Email: info@icerm.brown.edu
Topics:
Mathematical modeling, dynamical systems techniques, stochastic variability
Event listing ID:
1385075
2
NMEWP — Numerics, Modeling, and Experiments in Wave Phenomena
20 Sep 2021 - 24 Sep 2021 • Providence, United States
Organizer:
ICERM
Abstract:
The workshop will be devoted to the analysis of wave phenomena from different perspectives: mathematical modeling and analysis, experimental physics, and numerical analysis. One of the goals of this event is to gather scientists coming from a priori distant communities but sharing a common interest in wave propagation phenomena in a broad sense (fluid mechanics, quantum mechanics, plasma physics, rigorous analysis). We plan to focus on various themes representing topical problems in these fields, from experimental reproduction of physical phenomena, numerical issues, to the most recent rigorous mathematical results.
Contact:
Phone: [401-863-5030];     Email: info@icerm.brown.edu
Topics:
wave phenomena, modeling and analysis, experimental physics, and numerical analysis.
Event listing ID:
1420265
Related subject(s):
3
GD/SPM21 — SIAM Conference on Geometric and Physical Modeling
27 Sep 2021 - 29 Sep 2021 • University of California, Davis Davis, California, United States
Organizer:
Society for Industrial and Applied Mathematics (SIAM)
Event listing ID:
1376527
4
Machine Learning for Climate
01 Nov 2021 - 04 Nov 2021 • Santa Barbara, United States
Organizer:
UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)
Abstract:
The theoretical understanding of the Earth system has fundamentally advanced in recent decades in parallel to an exponential increase of observations and modeling data. However, climate scientists cannot meet the challenge of informing society about changes that may occur in the future at regional and local scales because many two-way, multi-scale processes that encompass the physical chemical and biological realms continue to elude us. Big data and the associated algorithms (Machine Learning) provide the opportunity to learn about quantities related to the climate systems in ways and with an amount of detail that were infeasible only a few years ago. The opportunity for descriptive inference creates the chance for climate scientists to ask causal questions and create new theories or validate old ones. Furthermore, when paired with modeling experiments or robust research in model parameterizations, “big data” can provide data-driven answers to vexing questions.

This conference will set the stage for exchanging tools and ideas and will help identify key problems where consistent progress is achievable through collaborative efforts. The theme of the conference will extend more broadly than the Physics focus of the main program, in order to elicit input from a wide range of experts across the earth system and computational sciences who are involved in the climate change problem. Given the level of interdisciplinarity and exchange that we aim for and expect, this conference will summarize current understanding and open questions, and will set the stage for achieving the aims of the associated KITP program.

Event listing ID:
1395680
5
Transport in Stellar Interiors
15 Nov 2021 - 18 Nov 2021 • Santa Barbara, United States
Organizer:
UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)
Abstract:
Many of the largest uncertainties in the physics of stars are related to transport in their interiors, including the transport of heat, chemical elements, and angular momentum. Our current understanding of these processes has been challenged and refined by recent advances in observational data, including TESS and spectroscopic studies, by new work on 1D models, and by the ability to generate more sophisticated 3D simulations. This conference will bring together members of the community working on transport processes from a variety of angles, including observations, theoretical calculations, and stellar models, with an emphasis on how these techniques can be combined to improve our understanding of stellar physics.
Event listing ID:
1395778
6
Gordon Research Conference — Computational Materials Science and Engineering
31 Jul 2022 - 05 Aug 2022 • Newry, United States
7
Analytic and Geometric Aspects of Gauge Theory (GT)
22 Aug 2022 - 21 Dec 2022 • Mathematical Sciences Research Institute, Berkeley, United States
Abstract:
The mathematics and physics around gauge theory have, since their first interaction in the mid 1970's, prompted tremendous developments in both mathematics and physics. Deep and fundamental tools in partial differential equations have been developed to provide rigorous foundations for the mathematical study of gauge theories. This led to ongoing revolutions in the understanding of manifolds of dimensions 3 and 4 and presaged the development of symplectic topology. Ideas from quantum field theory have provided deep insights into new directions and conjectures on the structure of gauge theories and suggested many potential applications. The focus of this program will be those parts of gauge theory which hold promise for new applications to geometry and topology and require development of new analytic tools for their study.
Event listing ID:
1423499
8
New Mathematics for the Exascale: Applications to Materials Science
13 Mar 2023 - 16 Jun 2023 • Institute for Pure and Applied Mathematics (IPAM), Los Angeles, United States
Abstract:
The aim of this program is to foster the development of new mathematical tools and formalisms that will enable a new generation of ultra-scalable algorithms for a broad range of applications in computational materials science. Topics of interest will include strategies for scalable single-scale simulations, novel massively-parallel scale-bridging algorithms, and integration of extreme-scale computing into experimental and data science workflows. The program will bring together applied mathematicians, materials scientists, computer scientists, and method developers interested in unlocking the potential of upcoming exascale architectures through novel mathematical approaches.
Event listing ID:
1435872
Related subject(s):


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Last updated: 28 July 2021