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

Data sets

Datasets for "Spectral Nudging Impacts on Precipitation Downscaling in the Conformal Cubic Atmospheric Model, version CCAM-2504: Insights from Summer 2011" Cong Hoang Son Truong https://doi.org/10.5281/zenodo.19077484

ERA5 hourly data on pressure levels from 1940 to present Hans Hersbach et al. https://doi.org/10.24381/cds.bd0915c6

GPCP Version 3.2 Daily Precipitation Data Set (GPCPDAY) George J. Huffman et al. https://doi.org/10.5067/MEASURES/GPCP/DATA305

NOAA Climate Data Record (CDR) of CPC Morphing Technique (CMORPH) High Resolution Global Precipitation Estimates, Version 1 Pingping Xie et al. https://doi.org/10.25921/w9va-q159

GPM IMERG Final Precipitation L3 1 day 0.1 degree x 0.1 degree V06 George J. Huffman et al. https://doi.org/10.5067/GPM/IMERGDF/DAY/06

Model code and software

Model code for "Spectral Nudging Impacts on Precipitation Downscaling in the Conformal Cubic Atmospheric Model, version CCAM-2504: Insights from Summer 2011" Cong Hoang Son Truong https://doi.org/10.5281/zenodo.19018138

Python code for "Spectral Nudging Impacts on Precipitation Downscaling in the Conformal Cubic Atmospheric Model, version CCAM-2504: Insights from Summer 2011" Cong Hoang Son Truong https://doi.org/10.5281/zenodo.18423589

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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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