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Atmospheric Modeling

CCSE Members of the Atmospheric Modeling Team

  • Ann Almgren

  • Aaron Lattanzi

  • Mahesh Natarajan


    • CCSE researchers are leading the development of the Energy Research and Forecasting (ERF) next-generation atmospheric modeling code. The ERF development is part of a broader effort led by the Wind Energy Technologies Office (WETO) to address the insufficiencies in physical fidelity and HPC compatibility of existing wind energy simulation codes. The ERF code represents a core capability within this portfolio, targeting high-fidelity representation of the environmental flow field defining both the energy available for harvesting, as well as characteristics of the flow impacting the ability of wind turbines and arrays to reliably and efficiently extract that energy. ERF is built on AMReX, a block-structured adaptive mesh refinement software framework which provides the underlying software infrastructure for block structured mesh operations.

    Ann Almgren, Aaron Lattanzi, Riyaz Haque, Pankaj Jha, Branko Kosovic, Jeffrey Mirocha, Bruce Perry, Eliot Quon, Michael Sanders, David Wiersema, Donald Willcox, Xingqiu Yuan, Weiqun Zhang, ERF: Energy Research and Forecasting, Journal of Open Source Software, 8(87), 5202, 2023. [doi]



    Ocean Modeling

    CCSE Members of the SEAHORÇE Team

  • Ann Almgren

  • Hannah Klion

  • Jean Sexton

    • CCSE researchers lead the development of the Regional Model of the Ocean Refined Adaptively (REMORA), a modern performance-portable regional ocean model. It is a new implementation of an existing community standard model, the Reginal Ocean Modeling System (ROMS), that simulates estuarine and oceanic dynamics using the latest high-performance computing architectures. REMORA is built on AMReX, which provides the software infrastructure for performance portability, as well as block-structured mesh and particle operations. REMORA is being developed as part of the SEAHORÇE project. The primary objective is to extend the resolution capability of the global ocean model MPAS-Ocean by enabling run-time coupling with high-resolution limited domains in REMORA or ROMS.