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Climate Change 2016

October 27-29, 2016

Volume 7, Issue 9(Suppl)

J Earth Sci Clim Change

ISSN: 2157-7617 JESCC, an open access journal

conferenceseries

.com

October 24-26, 2016 Valencia, Spain

World Conference on

Climate Change

Cost-risk trade-off of solar radiation management and mitigation-considering regional disparities

under long-tailed climate sensitivity probability density distributions

Elnaz Roshan, Mohammad Mohammadi Khabbazan

and

Hermann Held

University of Hamburg, Germany

S

olar radiation management (SRM) might be able to alleviate the anthropogenic global mean temperature rise but unable to

do so for other climate variables such as precipitation, particularly with respect to regional disparities. Here we evaluate the

optimal trade-off between SRM and mitigation by applying cost-risk analysis (CRA) with the probabilistic knowledge about

climate sensitivity density distribution. CRA trades off the expected welfare-loss from climate policies costs against the climate

risks from overshooting an environmental target. Using the spatial resolution of ‘Giorgi regions’, we generalize CRA in order

to represent the regional precipitation risks as a prominent side-effect of SRM. We introduce three scenarios, considering

alternative relative weights of risks: temperature-risk-only, precipitation-risk-only, and equally weighted both-risks scenarios.

Our results suggest that, by considering regional precipitation risks in optimization, SRM in conjunction with mitigation

would only save about a half of welfare-loss (in terms of BGE) compared to mitigation-only analysis. In temperature-risk-only

scenario, perfect compliance with 2°C-temperature target is achieved while a very high precipitation risk in half of the regions

is demonstrated. In precipitation-risk-only and both-risks scenarios, temperature is complied with its threshold for about 95%

of all numerical representative climate sensitivities in 2100. However, expected regional precipitation risk would increase at

least in four regions compared to mitigation- only portfolio.

Biography

Elnaz Roshan is a Doctoral candidate in Economics at University of Hamburg and at International Max Planck Research School in Earth System Modeling. She

started her PhD in August 2014 and this work is a part of her Doctoral research.

elnaz.roshan@uni-hamburg.de

Elnaz Roshan et al., J Earth Sci Clim Change 2016, 7:9(Suppl)

http://dx.doi.org/10.4172/2157-7617.C1.027