Session at EGU 2016


Posted by Lila Warszawski on Nov. 24, 2015

We would like to make you aware of the following session to be held at EGU 2016, for which contributions based on ISI-MIP2.1a analyses are very relevant and  warmly invited.  The convenors of the session are: Rutger Dankers, Katja Frieler, Christopher Reyer and Carl-Friedrich Schleussner

Don't forget that submissions close on 13 January, 2016. We would be delighted if many of you choose to submit an abstract to this session!

Link to session on EGU site

CL3.04

Modelling climate impacts: Intercomparison, validation, and improvement of impact models

For a balanced risk assessment of climate change, understanding and quantifying the impacts of climate change on human and natural systems is crucial. A range of advanced numerical models are available to simulate the response of agriculture, natural vegetation, hydrology, and other parts of the human environment and economy to global climate change. However, climate impact projections can diverge substantially between different impact models, reflecting uncertainty in model structure and parameters. Together with further layers of uncertainty e.g. in the climate and socio-economic spheres, this impedes reliable estimates of the costs and damages expected at different levels of global warming.

To make impact projections more robust, it is important to systematically validate the models in the context of the most important types of impacts, and, if necessary, improve the representation of the related processes. For example, evaluating and improving the models’ response to extreme climate and weather events is a key challenge, because of the damage these events entail and because they are expected to get more frequent, widespread, and/or severe with each additional degree of global warming. Comparison of multiple models can help identify the processes that govern the response to extreme events and highlight opportunities for model improvement.

This session welcomes contributions that focus on evaluating state-of-the-art climate impact simulations, assessing their fidelity with regard to past and/or future extreme events or other relevant features, and/or further advancing existing modelling techniques. Contributions based on multi-model comparison projects such as the Coupled Model Intercomparison Project (CMIP), the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP), or the Agricultural Model Improvement and Intercomparison Project (AgMIP) are encouraged.