[AgMIP] EGU session relevant to AgMIP

[agmip at lists.agmip.org]

Hi All,

Please see the announcement below of a climate impacts session at EGU this year that specifically encourages AgMIP submissions:

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Dear colleagues,

we cordially invite you to submit an abstract to the session "Modelling climate impacts across sectors: projections and model intercomparison" (CL3.08) to be held at the EGU General Assembly 2017 (Vienna, Austria, 23-28 April 2017).

Information and abstract submission: <http://meetingorganizer.copernicus.org/EGU2017/session/22763>. Also see the session description at the bottom of this email.

Deadline for abstract submission is 11 Jan 2017, 13:00 CET.

We look forward to seeing you at EGU!

Sincerely,

Session conveners:
Jacob Schewe (Potsdam Institute for Climate Impact Research (PIK), Germany)
Christopher Reyer (PIK, Germany)
Carl-Friedrich Schleussner (Climate Analytics, Germany)
Hannes Müller Schmied (Goethe-University of Frankfurt, Germany)
Michelle van Vliet (Wageningen University, Netherlands)
Fang Zhao (PIK, Germany)

Session description:
For a balanced risk assessment of climate change, understanding and quantifying the impacts of climate change on human and natural systems is crucial. As the Intergovernmental Panel on Climate Change (IPCC) is preparing a special report on the impacts of 1.5°C of global warming, the impacts, vulnerability, and adaptation community is more pressed than ever to provide reliable quantitative estimates of the costs and damages expected at different levels of global warming. A range of advanced numerical models are available to simulate the response of agriculture, natural ecosystems, hydrology, human health, and other parts of the human environment and economy to global climate change. However, integrating the impacts across these different sectors remains a key challenge, not least because different processes may interact. Moreover, climate impact projections can diverge substantially between different impact models, reflecting uncertainty in model structure and parameters.
This session welcomes contributions using state-of-the-art climate impact simulations to improve estimates of the impacts associated with different levels of climate change. Particular areas of interest are the use of multi-model ensembles for estimating confidence levels and identifying model differences; the evaluation of models using observational data; the application of statistical methods in order to better differentiate projected impacts between different global warming levels; and the application of impact models to relevant climate scenarios beyond the most common set of RCPs, e.g. long-term stabilization, low warming, or overshoot scenarios. Contributions based on multi-model comparison projects such as the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) or the Agricultural Model Improvement and Intercomparison Project (AgMIP) are encouraged.


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Dr. Alex C. Ruane
Research Physical Scientist, Climate Impacts Group, NASA GISS
2880 Broadway
New York, NY 10025
+001 212-678-5640
alexander.c.ruane at nasa.gov