Improved Regional Climate Change Projections Through Dynamical Downscaling
Stuart Corney, Jack Katzfey, John D. McGregor, Michael Grose, James Bennett, Christopher J. White, Greg Holz, Nathaniel L. Bindoff
Abstract
Stuart Corney, Jack Katzfey, John D. McGregor, Michael Grose, James Bennett, Christopher J. White, Greg Holz, Nathaniel L. Bindoff
Abstract
By modeling the atmosphere at a much finer scale than is possible using a coupled GCM we can more accurately capture the processes that operate on Tasmania’s weather/climate at the regional level and thus can more clearly answer the question of how Tasmania’s climate will change in the future. We present results that show the improvements in resolving the local-scale climate and climate drivers with increasing resolution that can be achieved through downscaling, when compared to a gridded observational data set (AWAP).
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
By modeling the atmosphere at a much finer scale than is possible using a coupled GCM we can more accurately capture the processes that operate on Tasmania’s weather/climate at the regional level and thus can more clearly answer the question of how Tasmania’s climate will change in the future. We present results that show the improvements in resolving the local-scale climate and climate drivers with increasing resolution that can be achieved through downscaling, when compared to a gridded observational data set (AWAP).
Key concepts: Downscaling, Climatology, Climate change, Scale (ratio), Climate model, GCM transcription factors, Environmental science, General Circulation Model