understanding the relevance of climate model simulations to informing policy: an example of the...

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Understanding the relevance of climate model simulations to informing policy: An example of the application of MAGICC to greenhouse gas mitigation policy F. Niehörster, N. Ranger, L. A. Smith

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Understanding the relevance of climate model simulations to informing policy: An example of the application of MAGICC to greenhouse gas mitigation policy

F. Niehörster, N. Ranger, L. A. Smith

Outline

Talking to Policy Makers:

What do they ask for?

What do they understand?

Essentials of uncertainty analysis

Remaining challenges

The Example: A Policy Brief

Policy Brief 2December 2009

What do they ask for?

In preparation for the COP15 in Copenhagen it was asked how much global emissions of greenhouse gases will have to fall from present levels to create a reasonable chance (i.e. a 50 per cent probability) of avoiding a rise in global average temperature of more than 2°C above its pre-industrial levels.

Available on: www.lse.ac.uk/grantham

What do they understand?

Example from the executive summary:

“Given the uncertainties in both the science and the economics, it is essential that any policy framework for climate change mitigation incorporates, from the outset, mechanisms to update the long-term goal, in a transparent fashion, in response to new developments in the science or economics, while holding policy-makers accountable for their actions.”

...

Presenting Uncertainty

Review of uncertainty of IPCC and Meinshausen et al (2006) for reaching certain temperature limits given stabilized GHG concentrations.

For negotiations the implied emission pathways were needed!

Emission Pathways

Offering a variety of options for decision making !

The MAGICC Model

Highlighting the basics of the approach

Main results

Estimated median temperature response to emission pathways

Uncertainty analysis

Lower(!) bounds of uncertainty for single emission pathways by exploring parametric uncertainty related to scientific uncertainty (e.g. climate sensitivity)

Uncertainty analysis

Sensitivity of the findings to different assumptions is necessary.Here: different scenarios for aerosols lead to different answers

Remaining challenges

Is looking for the 50% Isopleths really what your risk averseness implies?

Understanding the science of uncertainty

Enhance understanding of model uncertainties

Conclusions

Talking to Policy Makers is not as bad as you think!

But if you do so, don’t forget the essentials of uncertainty analysis

Remaining challenges (always make sure you have some!)

Content of the Policy Brief

1. Mitigating climate change through reductions in greenhouse gas emissions: background

2. Mitigating climate change through reductions in greenhouse gas emissions: climate science constraints on annual global emissions targets for 2020 and 2050

3. Mitigating climate change through reductions in greenhouse gas emissions: economic assessment of emissions targets

Annex 1 The approach and its implications for the conclusions

Annex 2 Key information for 20 emissions paths