Meehl, G. A., R. Moss, K. E. Taylor, V. Eyring, R. J. Stouffer, S. Bony, and B. Stevens, Climate Model Intercomparison: Preparing for the Next Phase, Eos, Trans. AGU, 95(9), 77, 2014.

Since 1995, the Coupled Model Intercomparison Project (CMIP) has coordinated climate model experiments involving multiple international modeling teams. Through CMIP, climate modelers and scientists from around the world have analyzed and compared state-of-the-art climate model simulations to gain insights into the processes, mechanisms, and consequences of climate variability and climate change. This has led to a better understanding of past, present, and future climate, and CMIP model experiments have routinely been the basis for future climate change assessments made by the Intergovernmental Panel on Climate Change (IPCC) [e.g., IPCC, 2013, and references therein].

The European Space Agency (ESA) invites Early Career Scientists (Ph.D. students, young post-doctoral scientists) to join leading experts in Earth Observation, Modelling and Data Assimilation in ESRIN (Frascati, near Rome) for keynote lectures, hands-on computing practicals and poster sessions on the occasion of the 7th Earth Observation Summer School on “Earth System Monitoring & Modelling”.

More information is available at:

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For more details on the "MATHématiqueS en INteractions pour la TERRE" project, click here

CL5.2/AS1.19/OS1.8: Global high-resolution modelling of the atmosphere and ocean (co-organized).

This session aims at gathering the growing high-resolution global climate modelling community to evaluate the consistency between GCMs (atmosphere, ocean or coupled) in response to increasing resolution. We focus on a range of processes that are sensitive to resolution (e.g., tropical cyclones, hydrological cycle, blocking, ocean eddies), and discuss implications for model trustworthiness and planning of simulation campaigns and model intercomparisons.

CL6.6/HS7.9: Improving the representation of climate using high resolution climate and NWP models (co-organized).

This session aims at exploring how very high-resolution models, including the new generation of convection-permitting models, can improve the simulation of climate variables and their future change, with a focus on extreme events. Of particular interest are short-duration precipitation extremes, including their scaling with temperature and the role of large-scale forcing versus local process representation. We discuss how new projections of regional change can be best used for adaptation planning.