http://onlinelibrary.wiley.com/doi/10.1002/2016EF000449/full

Indicators and Metrics for the Assessment of Climate Engineering

A. Oschlies, et al
14 November 2016
DOI:10.1002/2016EF000449

Selecting appropriate indicators is essential to aggregate the information
provided by climate model outputs into a manageable set of relevant metrics
on which assessments of climate engineering (CE) can be based. From all the
variables potentially available from climate models, indicators need to be
selected that are able to inform scientists and society on the development
of the Earth system under climate engineering (CE), as well as on possible
impacts and side effects of various ways of deploying CE or not. However,
the indicators used so far have been largely identical to those used in
climate change assessments and do not visibly reflect the fact that
indicators for assessing CE (and thus the metrics composed of these
indicators) may be different from those used to assess global warming.
Until now, there has been little dedicated effort to identifying specific
indicators and metrics for assessing CE. We here propose that such an
effort should be facilitated by a more decision-oriented approach and an
iterative procedure in close interaction between academia, decision makers
and stakeholders. Specifically, synergies and trade-offs between social
objectives reflected by individual indicators, as well as decision-relevant
uncertainties should be considered in the development of metrics, so that
society can take informed decisions about climate policy measures under the
impression of the options available, their likely effects and side effects,
and the quality of the underlying knowledge base.

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