Estimation of surface particulate matter (Pm2.5 and pm10) mass concentrations from ceilometer backscattered profiles

Avinash N. Parde, Sachin D. Ghude*, Prakash Pithani, Narendra G. Dhangar, Sandip Nivdange, Gopal Krishna, D. M. Lal, R. Jenamani, Pankaj Singh, Chinmay Jena, Ramakrishna Karumuri, P. D. Safai, D. M. Chate

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


In this study, we used remotely sensed backscattered profiles from a ceilometer to characterize the vertical and horizontal mixing of aerosols in the polluted planetary boundary layer (PBL). These profiles revealed the structure of the boundary layer, which included the mixed layer, the nocturnal residual layer and the elevated aerosol layer far above the mixed layer over Delhi. The accumulation of aerosols near the surface during feeble turbulence and the mixing of aerosols from the residual layer into the surface layer during convection was captured very well by a ceilometer. The backscattered signal from a height of 45 m above the ground was strongly correlated (82%) with the observed surface PM2.5 and PM10 mass concentrations. We developed an empirical regression model based on this relationship, which was then tested and validated against independent measurements of the concentrations from November 2018. Although local meteorological conditions, particularly cloudiness and rain, influenced the strength of the correlation between the observed PM2.5 and PM10 mass concentrations and the backscattered signal, the magnitude of the mean bias between the observed and the values for PM2.5 (–21 µg m–3, RMSE = 75) and PM10 (31 µg m–3, RMSE = 118) indicated that the predicted values were fairly accurate. The model overestimated the PM2.5 by 7% and underestimated the PM10 by 6% on clear days.

Original languageEnglish (US)
Pages (from-to)1640-1650
Number of pages11
JournalAerosol and Air Quality Research
Issue number7
StatePublished - Jul 2020

Bibliographical note

Funding Information:
We would like to thank the Director, IITM, for his encouragement during the study. Observational data used in this study were gathered as part of the collaboration between the Ministry of Earth Sciences (MoES) and the IITM and India Meteorological Department (IMD) under the Winter Fog EXperiment (WiFEX) field campaign. The authors also acknowledge to GMR and Airport Authority of India for their logistic support at IGI Airport New Delhi.

Publisher Copyright:
© The Author(s).


  • Ceilometer backscatter
  • PM and PM
  • Pollution event

ASJC Scopus subject areas

  • Environmental Chemistry
  • Pollution


Dive into the research topics of 'Estimation of surface particulate matter (Pm2.5 and pm10) mass concentrations from ceilometer backscattered profiles'. Together they form a unique fingerprint.

Cite this