CO<sub>2</sub>-equivalence metrics for surface albedo change based on the radiative forcing concept: a critical review
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Published:2021-07-01
Issue:12
Volume:21
Page:9887-9907
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Bright Ryan M.ORCID, Lund Marianne T.ORCID
Abstract
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 (Δα) 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 Δα 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 Δα 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 Δα – a major critique of Δα 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 Δα (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.
Funder
Norges Forskningsråd
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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