Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations

S Kotthaus, JA Bravo-Aranda… - Atmospheric …, 2022 - amt.copernicus.org
The atmospheric boundary layer (ABL) height defines the volume of air within which heat,
moisture and pollutants released at the Earth's surface are rapidly diluted. Despite the …

On the widespread enhancement in fine particulate matter across the Indo-Gangetic Plain towards winter

N Ojha, A Sharma, M Kumar, I Girach, TU Ansari… - Scientific reports, 2020 - nature.com
Abstract Fine particulate matter (PM2. 5, aerodynamic diameter≤ 2.5 µm) impacts the
climate, reduces visibility and severely influences human health. The Indo-Gangetic Plain …

[HTML][HTML] Characteristics and performance of wind profiles as observed by the radar wind profiler network of China

B Liu, J Guo, W Gong, L Shi, Y Zhang… - Atmospheric …, 2020 - amt.copernicus.org
Wind profiles are fundamental to the research and applications in boundary layer
meteorology, air quality and numerical weather prediction. Large-scale wind profile data …

Elucidating the atmospheric boundary layer turbulence by combining UHF radar wind profiler and radiosonde measurements over urban area of Bei**g

R Solanki, J Guo, Y Lv, J Zhang, J Wu, B Tong, J Li - Urban Climate, 2022 - Elsevier
The knowledge of atmospheric turbulence over urban environment remains limited albeit its
great importance for air pollution and convection initiation. This study investigates …

Investigation of the mixing layer height derived from ceilometer measurements in the Kathmandu Valley and implications for local air quality

A Mues, M Rupakheti, C Münkel, A Lauer… - Atmospheric …, 2017 - acp.copernicus.org
In this study 1 year of ceilometer measurements taken in the Kathmandu Valley, Nepal, in
the framework of the SusKat project (A Sustainable Atmosphere for the Kathmandu Valley) …

Exploring the potential of machine learning for simulations of urban ozone variability

N Ojha, I Girach, K Sharma, A Sharma, N Singh… - Scientific reports, 2021 - nature.com
Abstract Machine learning (ML) has emerged as a powerful technique in the Earth system
science, nevertheless, its potential to model complex atmospheric chemistry remains largely …

Evaluation and utilization of MODIS and CALIPSO aerosol retrievals over a complex terrain in Himalaya

A Kumar, N Singh, R Solanki - Remote Sensing of Environment, 2018 - Elsevier
The study elucidate upon the evaluation of satellite retrievals with ground based aerosol
optical depth (AOD) measurements, their utilization in LiDAR ratio (LR) estimation, boundary …

WRF and WRF-Chem v3. 5.1 simulations of meteorology and black carbon concentrations in the Kathmandu Valley

A Mues, A Lauer, A Lupascu… - Geoscientific Model …, 2018 - gmd.copernicus.org
An evaluation of the meteorology simulated using the Weather Research and Forecast
(WRF) model for the region of south Asia and Nepal with a focus on the Kathmandu Valley is …

Investigation of atmospheric boundary layer characteristics using ceilometer lidar, COSMIC GPS RO satellite, radiosonde and ERA-5 reanalysis dataset over Western …

S Saha, S Sharma, KN Kumar, P Kumar, S Lal… - Atmospheric …, 2022 - Elsevier
Abstract Atmospheric Boundary Layer (ABL) characteristics are investigated using a
Ceilometer Lidar over Ahmedabad, a semi-arid region in western India. Strong diurnal …

Machine learning model to accurately estimate the planetary boundary layer height of Bei**g urban area with ERA5 data

K Peng, J **n, X Zhu, X Wang, X Cao, Y Ma, X Ren… - Atmospheric …, 2023 - Elsevier
The planetary boundary layer height (PBLH) is one of the most important parameters in the
environmental, weather, and climatic research. Therefore, it is of great significance and …