In:
Atmospheric Chemistry and Physics, Copernicus GmbH, Vol. 19, No. 11 ( 2019-06-11), p. 7743-7757
Abstract:
Abstract. We present a case study where emission metric values from
different studies are applied to estimate global and Arctic temperature
impacts of emissions from a northern European country. This study assesses
the climate impact of Finnish air pollutants and greenhouse gas emissions
from 2000 to 2010, as well as future emissions until 2030. We consider both emission
pulses and emission scenarios. The pollutants included are SO2, NOx, NH3,
non-methane volatile organic compound (NMVOC), black carbon (BC), organic carbon (OC), CO, CO2, CH4 and N2O, and our study is the first
one for Finland to include all of them in one coherent dataset. These
pollutants have different atmospheric lifetimes and influence the climate
differently; hence, we look at different climate metrics and time horizons.
The study uses the global warming potential (GWP and GWP*), the global
temperature change potential (GTP) and the regional temperature change
potential (RTP) with different timescales for estimating the climate
impacts by species and sectors globally and in the Arctic. We compare the
climate impacts of emissions occurring in winter and summer. This assessment
is an example of how the climate impact of emissions from small countries
and sources can be estimated, as it is challenging to use climate models to
study the climate effect of national policies in a multi-pollutant
situation. Our methods are applicable to other countries and regions and
present a practical tool to analyze the climate impacts in multiple
dimensions, such as assessing different sectors and mitigation measures.
While our study focuses on short-lived climate forcers, we found that the CO2
emissions have the most significant climate impact, and the significance
increases over longer time horizons. In the short term, emissions of
especially CH4 and BC played an important role as well. The warming impact
of BC emissions is enhanced during winter. Many metric choices are
available, but our findings hold for most choices.
Type of Medium:
Online Resource
ISSN:
1680-7324
DOI:
10.5194/acp-19-7743-2019
DOI:
10.5194/acp-19-7743-2019-supplement
Language:
English
Publisher:
Copernicus GmbH
Publication Date:
2019
detail.hit.zdb_id:
2069847-1
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