Ontology type: schema:ScholarlyArticle Open Access: True
2019-07-17
AUTHORSJana Sillmann, Camilla W. Stjern, Gunnar Myhre, Bjørn H. Samset, Øivind Hodnebrog, Timothy Andrews, Olivier Boucher, Gregory Faluvegi, Piers Forster, Matthew R. Kasoar, Viatcheslav V. Kharin, Alf Kirkevåg, Jean-Francois Lamarque, Dirk J. L. Olivié, Thomas B. Richardson, Drew Shindell, Toshihiko Takemura, Apostolos Voulgarakis, Francis W. Zwiers
ABSTRACTGlobal warming due to greenhouse gases and atmospheric aerosols alter precipitation rates, but the influence on extreme precipitation by aerosols relative to greenhouse gases is still not well known. Here we use the simulations from the Precipitation Driver and Response Model Intercomparison Project that enable us to compare changes in mean and extreme precipitation due to greenhouse gases with those due to black carbon and sulfate aerosols, using indicators for dry extremes as well as for moderate and very extreme precipitation. Generally, we find that the more extreme a precipitation event is, the more pronounced is its response relative to global mean surface temperature change, both for aerosol and greenhouse gas changes. Black carbon (BC) stands out with distinct behavior and large differences between individual models. Dry days become more frequent with BC-induced warming compared to greenhouse gases, but so does the intensity and frequency of extreme precipitation. An increase in sulfate aerosols cools the surface and thereby the atmosphere, and thus induces a reduction in precipitation with a stronger effect on extreme than on mean precipitation. A better understanding and representation of these processes in models will provide knowledge for developing strategies for both climate change and air pollution mitigation. More... »
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DOIhttp://dx.doi.org/10.1038/s41612-019-0079-3
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Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41612-019-0079-3'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41612-019-0079-3'
This table displays all metadata directly associated to this object as RDF triples.
360 TRIPLES
22 PREDICATES
106 URIs
80 LITERALS
6 BLANK NODES