Atmos. Chem. Phys., 18, 11507–11527, 2018 https://doi.org/10.5194/acp-18-11507-2018 © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License. Black carbon-induced snow albedo reduction over the Tibetan Plateau: uncertainties from snow grain shape and aerosol–snow mixing state based on an updated SNICAR model Cenlin He1,2, Mark G. Flanner3, Fei Chen2,4, Michael Barlage2, Kuo-Nan Liou5, Shichang Kang6,7, Jing Ming8, and Yun Qian9 1Advanced Study Program, National Center for Atmospheric Research, Boulder, CO, USA 2Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA 3Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, USA 4State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China 5Joint Institute for Regional Earth System Science and Engineering, and Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA, USA 6State key laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China 7CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, China 8Multiphase Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany 9Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA Correspondence: Cenlin He (
[email protected]) Received: 12 May 2018 – Discussion started: 22 May 2018 Revised: 31 July 2018 – Accepted: 4 August 2018 – Published: 15 August 2018 Abstract. We implement a set of new parameterizations into regional and seasonal variations, with higher values in the the widely used Snow, Ice, and Aerosol Radiative (SNICAR) non-monsoon season and low altitudes.