Articles | Volume 25, issue 13
https://doi.org/10.5194/acp-25-6703-2025
https://doi.org/10.5194/acp-25-6703-2025
Research article
 | 
02 Jul 2025
Research article |  | 02 Jul 2025

Assessing glaciogenic seeding impacts in Australia's Snowy Mountains: an ensemble modeling approach

Sisi Chen, Lulin Xue, Sarah A. Tessendorf, Thomas Chubb, Andrew Peace, Suzanne Kenyon, Johanna Speirs, Jamie Wolff, and Bill Petzke

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Cited articles

Bureau of Meteorology: Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia (BARRA) Version 1.0., National Research Data Repository at the National Computational Infrastructure (NCI) via THREDDS Data Server [data set], https://doi.org/10.4225/41/5993927b50f53, 2021. a
Chen, S., Xue, L., Tessendorf, S., Chubb, T., Peace, A., Ackermann, L., Gevorgyan, A., Huang, Y., Siems, S., Rasmussen, R., and Kenyon, S.: Simulating Wintertime Orographic Cloud Seeding over the Snowy Mountains of Australia, J. Appl. Meteorol. Clim., 62, 1693–1709, https://doi.org/10.1175/JAMC-D-23-0012.s1, 2023. a, b, c, d, e, f, g, h, i, j
DeMott, P. J., Prenni, A. J., Liu, X., Kreidenweis, S. M., Petters, M. D., Twohy, C. H., Richardson, M. S., Eidhammer, T., and Rogers, D. C.: Predicting global atmospheric ice nuclei distributions and their impacts on climate, P. Natl. Acad. Sci. USA, 107, 11217–11222, https://doi.org/10.1073/pnas.0910818107, 2010. a, b
European Centre for Medium-Range Weather Forecasts (ECMWF): ERA5 Reanalysis (0.25 Degree Latitude-Longitude Grid), updated monthly, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory [data set], https://doi.org/10.5065/BH6N-5N20, 2019. a
Eidhammer, T., DeMott, P. J., and Kreidenweis, S. M.: A comparison of heterogeneous ice nucleation parameterizations using a parcel model framework, J. Geophys. Res.-Atmos., 114, D06202, https://doi.org/10.1029/2008JD011095, 2009. a
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Short summary
This study aims to investigate how cloud seeding affects snowfall in Australia's Snowy Mountains. By running simulations with different setups, we found that seeding impact varies greatly with weather conditions. Seeding increased snow in stable weather but sometimes reduced it in stormy weather. This helps us to better understand when seeding works best to boost water supplies.
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