AMReX and pyAMReX: Looking beyond the exascale computing project
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 …
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
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 …
interconnected human‐Earth system, cities have an outsized impact on the Earth system …
ERF: Energy Research and Forecasting Model
High performance computing (HPC) architectures have undergone rapid development in
recent years. As a result, established software suites face an ever increasing challenge to …
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
Multiscale numerical weather prediction models transition from mesoscale, where
turbulence is fully parameterized, to microscale, where the majority of highly energetic …
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
The emergence of foundational models and generative artificial intelligence (GenAI) is
poised to transform productivity in scientific computing, especially in code development …
poised to transform productivity in scientific computing, especially in code development …
Comparison of adaptive mesh refinement techniques for numerical weather prediction
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 …
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 …
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 …
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 …
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
Wind farm simulations require data from mesoscale atmospheric simulations as initial and
boundary conditions for the microscale turbine environments. This process of downscaling …
boundary conditions for the microscale turbine environments. This process of downscaling …