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Improving the representation of climate using high resolution climate and NWP models. (co-organized)
Convener: Stephen Blenkinsop  | Co-Conveners: Erik Kjellström , Steven C. Chan 
 / Wed, 30 Apr, 08:30–10:00
 / Attendance Wed, 30 Apr, 17:30–19:00

Climate models are important tools for the provision of future projections of local climate change but are known to have deficiencies in their ability to simulate climate characteristics. One source of these deficiencies is derived from their resolution and the consequent parameterisation of important processes such as convection in the atmosphere. State-of-the-art climate experiments (both regional and global) are now being run at very high resolutions (order 10km or less), similar to Numerical Weather Prediction (NWP) models, with the aim of improving the representation of atmospheric processes and thus climate simulations and projections.

This session calls for contributions which explore how high resolution climate and NWP experiments can improve the simulation of spatial and temporal patterns of climate variables and also provide more reliable estimates of projected future change, particularly for extreme events. Areas of particular interest include:
• Research focussing on the new generation of convection-permitting models and their representation of convective events (e.g. their evolution, spatial structure, diurnal cycle and intensity).
• Assessment of high resolution model simulations, particularly, but not exclusively, with regard to (short duration) precipitation extremes.
• The representation of properties such as the Clausius-Clapeyron scaling between temperature and extreme rainfall in climate models.
• The role of high resolution boundary forcing versus high resolution local process representation, in the context of regional climate modelling.
• New projections using high-resolution models to assess regional-scale change and thoughts addressing how the outputs from such experiments might be used to provide decision-makers responsible for adaptation planning with better information.
Submissions might also, for example, identify where, in terms of climatic characteristics, benefits might be gained in running high resolution experiments and conversely which aspects of climate are sufficiently well represented by coarser models or potentially could be with improved parameterisations.