Black carbon and other light-absorbing impurities in snow in the Chilean Andes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Penny M. Rowe, Raul R. Cordero, Stephen G. Warren, Emily Stewart, Sarah J. Doherty, Alec Pankow, Michael Schrempf, Gino Casassa, Jorge Carrasco, Jaime Pizarro, Shelley MacDonell, Alessandro Damiani, Fabrice Lambert, Roberto Rondanelli, Nicolas Huneeus, Francisco Fernandoy, Steven Neshyba

ABSTRACT

Vertical profiles of black carbon (BC) and other light-absorbing impurities were measured in seasonal snow and permanent snowfields in the Chilean Andes during Austral winters 2015 and 2016, at 22 sites between latitudes 18°S and 41°S. The samples were analyzed for spectrally-resolved visible light absorption. For surface snow, the average mass mixing ratio of BC was 15 ng/g in northern Chile (18-33°S), 28 ng/g near Santiago (a major city near latitude 33°S, where urban pollution plays a significant role), and 13 ng/g in southern Chile (33-41°S). The regional average vertically-integrated loading of BC was 207 µg/m2 in the north, 780 µg/m2 near Santiago, and 2500 µg/m2 in the south, where the snow season was longer and the snow was deeper. For samples collected at locations where there had been no new snowfall for a week or more, the BC concentration in surface snow was high (~10-100 ng/g) and the sub-surface snow was comparatively clean, indicating the dominance of dry deposition of BC. Mean albedo reductions due to light-absorbing impurities were 0.0150, 0.0160, and 0.0077 for snow grain radii of 100 µm for northern Chile, the region near Santiago, and southern Chile; respective mean radiative forcings for the winter months were 2.8, 1.4, and 0.6 W/m2. In northern Chile, our measurements indicate that light-absorption by impurities in snow was dominated by dust rather than BC. More... »

PAGES

4008

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-39312-0

DOI

http://dx.doi.org/10.1038/s41598-019-39312-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112641484

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30850621


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-39312-0'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-39312-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-39312-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-39312-0'


 

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301 https://www.grid.ac/institutes/grid.442242.6 schema:alternateName University of Magallanes
302 schema:name Centro de Investigación GAIA Antártica, Universidad de Magallanes, Punta Arenas, Chile
303 Unidad de Glaciología y Nieves, Dirección General de Aguas (DGA), Ministerio de Obras Públicas (MOP), Santiago, Chile
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306 schema:name Center for Climate and Resilience Research CR2, Universidad de Chile, Santiago, Chile
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308 Universidad de Chile, Santiago, Chile
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310 https://www.grid.ac/institutes/grid.9122.8 schema:alternateName University of Hannover
311 schema:name Leibniz Universität Hannover, Institute of Meteorology and Climatology, Hannover, Germany
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