A sensitivity study on modeling black carbon in snow and its radiative forcing over the Arctic and Northern China

Black carbon in snow (BCS) simulated in the Community Atmosphere Model (CAM5) is evaluated against measurements over Northern China and the Arctic, and its sensitivity to atmospheric deposition and two parameters that affect post-depositional enrichment is explored. Improvements in atmospheric BC tr...

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Main Authors: Yun Qian, Hailong Wang, Rudong Zhang, Mark G Flanner, Philip J Rasch
Format: Article
Language:English
Published: IOP Publishing 2014-01-01
Series:Environmental Research Letters
Subjects:
Online Access:https://doi.org/10.1088/1748-9326/9/6/064001
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author Yun Qian
Hailong Wang
Rudong Zhang
Mark G Flanner
Philip J Rasch
author_facet Yun Qian
Hailong Wang
Rudong Zhang
Mark G Flanner
Philip J Rasch
author_sort Yun Qian
collection DOAJ
description Black carbon in snow (BCS) simulated in the Community Atmosphere Model (CAM5) is evaluated against measurements over Northern China and the Arctic, and its sensitivity to atmospheric deposition and two parameters that affect post-depositional enrichment is explored. Improvements in atmospheric BC transport and deposition significantly reduce the biases (by a factor of two) in the estimation of BCS concentration over both Northern China and the Arctic. Further sensitivity simulations using the improved CAM5 indicate that the melt-water scavenging efficiency (MSE) parameter plays an important role in regulating BC concentrations in the Arctic through the post-depositional enrichment, which not only drastically changes the amplitude but also shifts the seasonal cycle of the BCS concentration and its radiative forcing in the Arctic. The impact of the snow aging scaling factor (SAF) on BCS shows more complex latitudinal and seasonal dependence, and overall impact of SAF is much smaller than that of MSE. The improvements of BC transport and deposition in CAM5 have a stronger influence on BCS than perturbations of the two snow model parameters in Northern China.
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spelling doaj.art-5625f7549f2e486da0519354f94327392023-08-09T14:45:20ZengIOP PublishingEnvironmental Research Letters1748-93262014-01-019606400110.1088/1748-9326/9/6/064001A sensitivity study on modeling black carbon in snow and its radiative forcing over the Arctic and Northern ChinaYun Qian0Hailong Wang1Rudong Zhang2Mark G Flanner3Philip J Rasch4Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USAAtmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USAAtmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA; Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University , Lanzhou 730000, Gansu, People’s Republic of ChinaUniversity of Michigan , Ann Arbor, MI, USAAtmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USABlack carbon in snow (BCS) simulated in the Community Atmosphere Model (CAM5) is evaluated against measurements over Northern China and the Arctic, and its sensitivity to atmospheric deposition and two parameters that affect post-depositional enrichment is explored. Improvements in atmospheric BC transport and deposition significantly reduce the biases (by a factor of two) in the estimation of BCS concentration over both Northern China and the Arctic. Further sensitivity simulations using the improved CAM5 indicate that the melt-water scavenging efficiency (MSE) parameter plays an important role in regulating BC concentrations in the Arctic through the post-depositional enrichment, which not only drastically changes the amplitude but also shifts the seasonal cycle of the BCS concentration and its radiative forcing in the Arctic. The impact of the snow aging scaling factor (SAF) on BCS shows more complex latitudinal and seasonal dependence, and overall impact of SAF is much smaller than that of MSE. The improvements of BC transport and deposition in CAM5 have a stronger influence on BCS than perturbations of the two snow model parameters in Northern China.https://doi.org/10.1088/1748-9326/9/6/064001black carbonsnowradiative forcingArcticNorthern China
spellingShingle Yun Qian
Hailong Wang
Rudong Zhang
Mark G Flanner
Philip J Rasch
A sensitivity study on modeling black carbon in snow and its radiative forcing over the Arctic and Northern China
Environmental Research Letters
black carbon
snow
radiative forcing
Arctic
Northern China
title A sensitivity study on modeling black carbon in snow and its radiative forcing over the Arctic and Northern China
title_full A sensitivity study on modeling black carbon in snow and its radiative forcing over the Arctic and Northern China
title_fullStr A sensitivity study on modeling black carbon in snow and its radiative forcing over the Arctic and Northern China
title_full_unstemmed A sensitivity study on modeling black carbon in snow and its radiative forcing over the Arctic and Northern China
title_short A sensitivity study on modeling black carbon in snow and its radiative forcing over the Arctic and Northern China
title_sort sensitivity study on modeling black carbon in snow and its radiative forcing over the arctic and northern china
topic black carbon
snow
radiative forcing
Arctic
Northern China
url https://doi.org/10.1088/1748-9326/9/6/064001
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