Articles | Volume 20, issue 18
Atmos. Chem. Phys., 20, 10911–10935, 2020
https://doi.org/10.5194/acp-20-10911-2020
Atmos. Chem. Phys., 20, 10911–10935, 2020
https://doi.org/10.5194/acp-20-10911-2020
Research article
22 Sep 2020
Research article | 22 Sep 2020

Examining the atmospheric radiative and snow-darkening effects of black carbon and dust across the Rocky Mountains of the United States using WRF-Chem

Stefan Rahimi et al.

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Cited articles

Bassett, R., Young, P. J., Blair, G. S., Samreen, F., and Simm, W.: A Large Ensemble Approach to Quantifying Internal Model Variability Within the WRF Numerical Model, J. Geophys. Res.-Atmos., 125, e2019JD031286, https://doi.org/10.1029/2019JD031286, 2020. 
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Broxton, P. D., Dawson, N., and Zeng, X.: Linking snowfall and snow accumulation to generate spatial maps of SWE and snow depth, Earth Space Sci., 3, 246–256, 2016. 
Caldwell, P., Chin, H.-N. S., Bader, D. C., and Bala, G.: Evaluation of a WRF dynamical downscaling simulation over California, Climatic Change, 95, 499–521, https://doi.org/10.1007/s10584-009-9583-5, 2009. 
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Short summary
Dark particles emitted to the atmosphere can absorb sunlight and heat the air. As these particles settle, they may darken the surface, especially over snow-covered regions like the Rocky Mountains. This darkening of the surface may lead to changes in snowpack, affecting the local meteorology and hydrology. We seek to evaluate whether these light-absorbing particles more prominently affect this region through their atmospheric presence or their on-snow presence.
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