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

Journal Article · · Geoscience Data Journal
DOI:https://doi.org/10.1002/gdj3.70049· OSTI ID:3012336

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.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
3012336
Report Number(s):
PNNL-SA-208704
Journal Information:
Geoscience Data Journal, Journal Name: Geoscience Data Journal Journal Issue: 1 Vol. 13
Country of Publication:
United States
Language:
English

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