Articles | Volume 16, issue 16
https://doi.org/10.5194/acp-16-10559-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-10559-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Boundary layer evolution over the central Himalayas from radio wind profiler and model simulations
Atmospheric Science Group, Aryabhatta Research Institute of Observational Sciences, Manora Peak, Nainital, India
Raman Solanki
Atmospheric Science Group, Aryabhatta Research Institute of Observational Sciences, Manora Peak, Nainital, India
Department of Physics & Astrophysics, University of Delhi, Delhi, India
Narendra Ojha
Department of Atmospheric Chemistry, Max Planck Institute for Chemistry, Mainz, Germany
Ruud H. H. Janssen
Department of Atmospheric Chemistry, Max Planck Institute for Chemistry, Mainz, Germany
Andrea Pozzer
Department of Atmospheric Chemistry, Max Planck Institute for Chemistry, Mainz, Germany
Surendra K. Dhaka
Radio and Atmospheric Physics Lab., Rajdhani College, University of Delhi, Delhi, India
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- Machine learning model to accurately estimate the planetary boundary layer height of Beijing urban area with ERA5 data K. Peng et al. 10.1016/j.atmosres.2023.106925
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Short summary
Our study presents measurements and model simulations of boundary layer evolution over a mountain peak in the central Himalayas. The observations were made as a part of the Ganges Valley Aerosol Experiment. The implications of biases in model simulated boundary layer towards simulations of trace species is investigated.
Our study presents measurements and model simulations of boundary layer evolution over a...
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