Articles | Volume 19, issue 14
https://doi.org/10.5194/gmd-19-6991-2026
https://doi.org/10.5194/gmd-19-6991-2026
Model evaluation paper
 | 
30 Jul 2026
Model evaluation paper |  | 30 Jul 2026

Spectral nudging impacts on precipitation downscaling in the Conformal Cubic Atmospheric Model, version CCAM-2504: insights from summer 2011

Son C. H. Truong, Marcus J. Thatcher, Phuong Loan Nguyen, Lisa V. Alexander, and John L. McGregor

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Cited articles

Alexander, L. V., Bador, M., Roca, R., Contractor, S., Donat, M. G., and Nguyen, P. L.: Intercomparison of annual precipitation indices and extremes over global land areas from in situ, space-based and reanalysis products, Environ. Res. Lett., 15, 055002, https://doi.org/10.1088/1748-9326/ab79e2, 2020. 
Alexander, L. V., Nguyen, P. L., Donat, M. G., Dunn, R. J. H., Tett, S., Zhang, X., Alves, L. M., Bador, M., Deng, X., Gibson, P. B., King, A., Lennard, C., Min, S., Roca, R., and Trewin, B.: Less Intense Daily Precipitation Maxima in Regional Compared to Global Gridded Products, J. Climate, 38, 7669–7693, https://doi.org/10.1175/JCLI-D-25-0222.1, 2025. 
Alexandru, A., de Elía, R., Laprise, R., Separovic, L., and Biner, S.: Sensitivity study of regional climate model simulations to large-scale nudging parameters, Mon. Weather Rev., 137, 1666–1686, https://doi.org/10.1175/2008MWR2620.1, 2009. 
BoM: Record-breaking La Niña events: An analysis of the La Niña life cycle and the impacts and significance of the 2010–11 and 2011–12 La Niña events in Australia, Bureau of Meteorology, Commonwealth of Australia, https://www.bom.gov.au/climate/enso/history/La-Nina-2010-12.pdf (last access: 27 July 2026), 2012 
Bullock Jr., O. R., Foroutan, H., Gilliam, R. C., and Herwehe, J. A.: Adding four-dimensional data assimilation by analysis nudging to the Model for Prediction Across Scales – Atmosphere (version 4.0), Geosci. Model Dev., 11, 2897–2922, https://doi.org/10.5194/gmd-11-2897-2018, 2018. 
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Short summary
Understanding future rainfall is essential for managing floods and water resources in Australia. We tested different ways of helping a regional climate model better represent large-scale weather patterns during the extreme 2010–2011 La Niña event and compared the results with observations. The best approach produced more realistic atmospheric conditions and rainfall, increasing confidence in future climate projections and helping improve information for planning and climate adaptation
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