Simulating black carbon and dust and their radiative forcing in seasonal snow: a case study over North China with field campaign measurements
Simulating black carbon and dust and their radiative forcing in seasonal snow: a case study over North China with field campaign measurements
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DOI:
10.5194/acp-14-11475-2014
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发表时间:
2014-10
影响因子:
6.3
通讯作者:
Chun Zhao;Zhiyuan Hu;Y. Qian;L. Leung;Jianping Huang;Maoyi Huang;Jiming Jin;M. Flanner;Rudong Zhang;Hailong Wang;Huiping Yan;Zifeng Lu;D. Streets
中科院分区:
文献类型:
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作者:
Chun Zhao;Zhiyuan Hu;Y. Qian;L. Leung;Jianping Huang;Maoyi Huang;Jiming Jin;M. Flanner;Rudong Zhang;Hailong Wang;Huiping Yan;Zifeng Lu;D. Streets
Abstract. A state-of-the-art regional model, the Weather Research and Forecasting (WRF) model (Skamarock et al., 2008) coupled with a chemistry component (Chem) (Grell et al., 2005), is coupled with the snow, ice, and aerosol radiative (SNICAR) model that includes the most sophisticated representation of snow metamorphism processes available for climate study. The coupled model is used to simulate black carbon (BC) and dust concentrations and their radiative forcing in seasonal snow over North China in January–February of 2010, with extensive field measurements used to evaluate the model performance. In general, the model simulated spatial variability of BC and dust mass concentrations in the top snow layer (hereafter BCS and DSTS, respectively) are consistent with observations. The model generally moderately underestimates BCS in the clean regions but significantly overestimates BCS in some polluted regions. Most model results fall within the uncertainty ranges of observations. The simulated BCS and DSTS are highest with > 5000 ng g−1 and up to 5 mg g−1, respectively, over the source regions and reduce to