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DOE OSTI · 3012336

A Data Library of Liquid Clouds Modelled With a Large Eddy Simulation Framework

Kaul, Colleen M. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)] (ORCID:0000000244620987)·Ma, Po‐Lun [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)] (ORCID:0000000331095316)·Pressel, Kyle G. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]·Shpund, Jacob [Hebrew Univ. of Jerusalem (Israel)]·Tang, Shuaiqi [Nanjing Univ. (China)]·Ovchinnikov, Mikhail [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)] (ORCID:0000000279391299)·Huang, Meng [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]·Fast, Jerome D. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]·Zheng, Xiaojian [Argonne National Laboratory (ANL), Argonne, IL (United States); Univ. of Arizona, Tucson, AZ (United States)]·Dong, Xiquan [Univ. of Arizona, Tucson, AZ (United States)]
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Abstract

We describe a library of atmospheric large eddy simulations (LES) of liquid-phase boundary layer clouds constructed to enable aerosol–cloud–turbulence interaction studies, support parameterization evaluation and development, and provide training data for machine learning applications. The simulations use a modern LES framework designed for high numerical accuracy, coupled to a detailed spectral bin microphysical scheme. Case studies are configured to represent observed conditions in four key global cloud regions—the Northeastern Atlantic, Northeastern Pacific, Continental United States and Southern Ocean—following a semi-idealised approach. The library also includes aerosol concentration halving and doubling experiments to expose the sensitivities of the case studies to aerosol perturbations. Simulation results are compared to observations on a case-by-case basis, then the library's coverage is evaluated in terms of spreads in meteorological factors and atmospheric boundary layer attributes.

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BibTeXRIS

Kaul, Colleen M. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)] (ORCID:0000000244620987), Ma, Po‐Lun [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)] (ORCID:0000000331095316), Pressel, Kyle G. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Shpund, Jacob [Hebrew Univ. of Jerusalem (Israel)], Tang, Shuaiqi [Nanjing Univ. (China)], Ovchinnikov, Mikhail [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)] (ORCID:0000000279391299), Huang, Meng [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Fast, Jerome D. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Zheng, Xiaojian [Argonne National Laboratory (ANL), Argonne, IL (United States); Univ. of Arizona, Tucson, AZ (United States)], Dong, Xiquan [Univ. of Arizona, Tucson, AZ (United States)]. 2025-12-28. A Data Library of Liquid Clouds Modelled With a Large Eddy Simulation Framework. https://doi.org/10.1002/gdj3.70049

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