AMReX and pyAMReX: Looking beyond the exascale computing project

A Myers, W Zhang, A Almgren… - … Journal of High …, 2024 - journals.sagepub.com
AMReX is a software framework for the development of block-structured mesh applications
with adaptive mesh refinement (AMR). AMReX was initially developed and supported by the …

Cities are concentrators of complex, multisectoral interactions within the human‐Earth system

C Brelsford, A Jones, B Pandey, P Vahmani… - Earth's …, 2024 - Wiley Online Library
Cities are concentrators of complex, multi‐sectoral interactions. As keystones in the
interconnected human‐Earth system, cities have an outsized impact on the Earth system …

ERF: Energy Research and Forecasting Model

A Lattanzi, A Almgren, E Quon, M Natarajan… - arxiv preprint arxiv …, 2024 - arxiv.org
High performance computing (HPC) architectures have undergone rapid development in
recent years. As a result, established software suites face an ever increasing challenge to …

Assessing turbulence and mixing parameterizations in the gray-zone of multiscale simulations over mountainous terrain during the METEX21 field experiment

DJ Wiersema, S Wharton, RS Arthur… - Frontiers in Earth …, 2023 - frontiersin.org
Multiscale numerical weather prediction models transition from mesoscale, where
turbulence is fully parameterized, to microscale, where the majority of highly energetic …

Leveraging Large Language Models for Code Translation and Software Development in Scientific Computing

A Dhruv, A Dubey - arxiv preprint arxiv:2410.24119, 2024 - arxiv.org
The emergence of foundational models and generative artificial intelligence (GenAI) is
poised to transform productivity in scientific computing, especially in code development …

Comparison of adaptive mesh refinement techniques for numerical weather prediction

DS Abdi, A Almgren, FX Giraldo, I Jankov - arxiv preprint arxiv …, 2024 - arxiv.org
This paper examines the application of adaptive mesh refinement (AMR) in the field of
numerical weather prediction (NWP). We implement and assess two distinct AMR …

Wind Loading on CSP Collectors

S Yellapantula - 2024 - osti.gov
The project significantly enhanced the community's understanding of the fundamental
physics drivers underlying the wind-loading experienced by concentrating solar power …

Development of high and low fidelity models for wind farm-atmospheric boundary layer interaction

S Stipa - 2024 - open.library.ubc.ca
In the past decade, the increase in the number and scale of wind energy projects has
exposed deficiencies in the approach adopted by industry to assess potential wind farm …

Development of a Machine Learning Automation Pipeline (Mlap) and its Application to Wildfire Fuel Moisture Prediction

PK Jha, J Mirocha, P Cameron-Smith - Available at SSRN 5012179 - papers.ssrn.com
This work presents the development of a machine learning automation pipeline (MLAP) for
predicting fuel moisture (FM) used in wildfire risk assessment. Accurate prediction of FM is …

[PDF][PDF] Performance engineering and mesoscale-microscale coupling for wind energy simulations

M Dave, A Almgren, D Willcox, W Zhang, A Lattanzi - sc24.supercomputing.org
Wind farm simulations require data from mesoscale atmospheric simulations as initial and
boundary conditions for the microscale turbine environments. This process of downscaling …