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Surface dimming by the 2013 Rim Fire simulated by a sectional aerosol model
The Rim Fire of 2013, the third largest area burned by fire recorded in California history, is simulated by a climate model coupled with a size‐resolved aerosol model. Modeled aerosol mass, number, and particle size distribution are within variability of data obtained from multiple‐airborne in situ...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5101842/ https://www.ncbi.nlm.nih.gov/pubmed/27867782 http://dx.doi.org/10.1002/2015JD024702 |
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author | Yu, Pengfei Toon, Owen B. Bardeen, Charles G. Bucholtz, Anthony Rosenlof, Karen H. Saide, Pablo E. Da Silva, Arlindo Ziemba, Luke D. Thornhill, Kenneth L. Jimenez, Jose‐Luis Campuzano‐Jost, Pedro Schwarz, Joshua P. Perring, Anne E. Froyd, Karl D. Wagner, N. L. Mills, Michael J. Reid, Jeffrey S. |
author_facet | Yu, Pengfei Toon, Owen B. Bardeen, Charles G. Bucholtz, Anthony Rosenlof, Karen H. Saide, Pablo E. Da Silva, Arlindo Ziemba, Luke D. Thornhill, Kenneth L. Jimenez, Jose‐Luis Campuzano‐Jost, Pedro Schwarz, Joshua P. Perring, Anne E. Froyd, Karl D. Wagner, N. L. Mills, Michael J. Reid, Jeffrey S. |
author_sort | Yu, Pengfei |
collection | PubMed |
description | The Rim Fire of 2013, the third largest area burned by fire recorded in California history, is simulated by a climate model coupled with a size‐resolved aerosol model. Modeled aerosol mass, number, and particle size distribution are within variability of data obtained from multiple‐airborne in situ measurements. Simulations suggest that Rim Fire smoke may block 4–6% of sunlight energy reaching the surface, with a dimming efficiency around 120–150 W m(−2) per unit aerosol optical depth in the midvisible at 13:00–15:00 local time. Underestimation of simulated smoke single scattering albedo at midvisible by 0.04 suggests that the model overestimates either the particle size or the absorption due to black carbon. This study shows that exceptional events like the 2013 Rim Fire can be simulated by a climate model with 1° resolution with overall good skill, although that resolution is still not sufficient to resolve the smoke peak near the source region. |
format | Online Article Text |
id | pubmed-5101842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-51018422016-11-16 Surface dimming by the 2013 Rim Fire simulated by a sectional aerosol model Yu, Pengfei Toon, Owen B. Bardeen, Charles G. Bucholtz, Anthony Rosenlof, Karen H. Saide, Pablo E. Da Silva, Arlindo Ziemba, Luke D. Thornhill, Kenneth L. Jimenez, Jose‐Luis Campuzano‐Jost, Pedro Schwarz, Joshua P. Perring, Anne E. Froyd, Karl D. Wagner, N. L. Mills, Michael J. Reid, Jeffrey S. J Geophys Res Atmos Research Articles The Rim Fire of 2013, the third largest area burned by fire recorded in California history, is simulated by a climate model coupled with a size‐resolved aerosol model. Modeled aerosol mass, number, and particle size distribution are within variability of data obtained from multiple‐airborne in situ measurements. Simulations suggest that Rim Fire smoke may block 4–6% of sunlight energy reaching the surface, with a dimming efficiency around 120–150 W m(−2) per unit aerosol optical depth in the midvisible at 13:00–15:00 local time. Underestimation of simulated smoke single scattering albedo at midvisible by 0.04 suggests that the model overestimates either the particle size or the absorption due to black carbon. This study shows that exceptional events like the 2013 Rim Fire can be simulated by a climate model with 1° resolution with overall good skill, although that resolution is still not sufficient to resolve the smoke peak near the source region. John Wiley and Sons Inc. 2016-06-18 2016-06-27 /pmc/articles/PMC5101842/ /pubmed/27867782 http://dx.doi.org/10.1002/2015JD024702 Text en ©2016. The Authors. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Yu, Pengfei Toon, Owen B. Bardeen, Charles G. Bucholtz, Anthony Rosenlof, Karen H. Saide, Pablo E. Da Silva, Arlindo Ziemba, Luke D. Thornhill, Kenneth L. Jimenez, Jose‐Luis Campuzano‐Jost, Pedro Schwarz, Joshua P. Perring, Anne E. Froyd, Karl D. Wagner, N. L. Mills, Michael J. Reid, Jeffrey S. Surface dimming by the 2013 Rim Fire simulated by a sectional aerosol model |
title | Surface dimming by the 2013 Rim Fire simulated by a sectional aerosol model |
title_full | Surface dimming by the 2013 Rim Fire simulated by a sectional aerosol model |
title_fullStr | Surface dimming by the 2013 Rim Fire simulated by a sectional aerosol model |
title_full_unstemmed | Surface dimming by the 2013 Rim Fire simulated by a sectional aerosol model |
title_short | Surface dimming by the 2013 Rim Fire simulated by a sectional aerosol model |
title_sort | surface dimming by the 2013 rim fire simulated by a sectional aerosol model |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5101842/ https://www.ncbi.nlm.nih.gov/pubmed/27867782 http://dx.doi.org/10.1002/2015JD024702 |
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