Optimization of DNS code and visualization of entrainment and mixing phenomena at cloud edges

Kumar, B., Rehme, M., Suresh, N., Cherukuru, N., Jaroszynski, S., et al. (2021). Optimization of DNS code and visualization of entrainment and mixing phenomena at cloud edges. Parallel Computing, doi:10.1016/j.parco.2021.102811

Title Optimization of DNS code and visualization of entrainment and mixing phenomena at cloud edges
Author(s) Bipin Kumar, Matt Rehme, Neethi Suresh, Nihanth Cherukuru, Stanislaw Jaroszynski, Samuel Li, Scott Pearse, Tim Scheitlin, Suryachandra A. Rao, Ravi S. Nanjundiah
Abstract Entrainment and mixing processes occur during the entire life of a cloud. These processes change the droplet size distribution, which determines rain formation and radiative properties. Since it is a microphysical process, it cannot be resolved in large scale weather forecasting models. Small scale simulations such as Direct Numerical Simulations (DNS) are required to resolve the most minute scale of these processes. The DNS of cloud dynamics are performed by integrating two mathematical models, Eulerian and Lagrangian, in a coupled way. Running DNS is a tedious task as it requires a huge amount of computational resources. In this work, we provide a projection of the required resources for running DNS in different size domains.
Publication Title Parallel Computing
Publication Date Oct 1, 2021
Publisher's Version of Record https://dx.doi.org/10.1016/j.parco.2021.102811
OpenSky Citable URL https://n2t.net/ark:/85065/d7kw5kh1
OpenSky Listing View on OpenSky
CISL Affiliations TDD, VAST

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