*CO2-equivalence metrics for surface albedo change based on the radiative
forcing concept: a critical review*
CO2-equivalence metrics for surface albedo change based on the radiative
forcing concept: a critical review Ryan M. Bright and Marianne T. Lund
<https://acp.copernicus.org/articles/21/9887/2021/#top>
Ryan M. Bright and Marianne T. Lund
Atmos. Chem. Phys., 21, 9887–9907, https://doi.org/10.5194/acp-21-9887-2021,
*2021*.

*Abstract*

Management of Earth's surface albedo is increasingly viewed as an important
climate change mitigation strategy both on (Seneviratne et al., 2018) and
off (Field et al., 2018; Kravitz et al., 2018) the land. Assessing the
impact of a surface albedo change involves employing a measure like
radiative forcing (RF) which can be challenging to digest for
decision-makers who deal in the currency of CO2-equivalent emissions. As a
result, many researchers express albedo change (Δ*α*) RFs in terms of their
CO2-equivalent effects, despite the lack of a standard method for doing so,
such as there is for emissions of well-mixed greenhouse gases (WMGHGs;
e.g., IPCC AR5, Myhre et al., 2013). A major challenge for converting Δ*α*
RFs into their CO2-equivalent effects in a manner consistent with current
IPCC emission metric approaches stems from the lack of a universal time
dependency following the perturbation (perturbation “lifetime”). Here, we
review existing methodologies based on the RF concept with the goal of
highlighting the context(s) in which the resulting CO2-equivalent metrics
may or may not have merit. To our knowledge this is the first review
dedicated entirely to the topic since the first CO2-eq. metric for Δ*α*
surfaced 20 years ago. We find that, although there are some methods that
sufficiently address the time-dependency issue, none address or
sufficiently account for the spatial disparity between the climate response
to CO2 emissions and Δ*α* – a major critique of Δ*α* metrics based on the
RF concept (Jones et al., 2013). We conclude that considerable research
efforts are needed to build consensus surrounding the RF “efficacy” of
various surface forcing types associated with Δ*α* (e.g., crop change,
forest harvest), and the degree to which these are sensitive to the spatial
pattern, extent, and magnitude of the underlying surface forcings.

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