Evaluation of PM2.5 forecast using chemical data assimilation in the WRF-Chem model: A novel initiative under the Ministry of Earth Sciences Air Quality Early Warning System for Delhi, India

Ghude, SD and Kumar, R and Jena, C and Debnath, S and Kulkarni, RG and Alessandrini, S and Biswas, M and Kulkrani, S and Pithani, P and Kelkar, S and Sajjan, V and Chate, DM and Soni, VK and Singh, S and Nanjundiah, RS and Rajeevan, M (2020) Evaluation of PM2.5 forecast using chemical data assimilation in the WRF-Chem model: A novel initiative under the Ministry of Earth Sciences Air Quality Early Warning System for Delhi, India. In: Current Science, 118 (11). pp. 1803-1815.

PDF Cur_Sci_Vol_118_Iss_11_2024 - Published Version Download (4MB)

Abstract

Air quality has become one of the most important environmental concerns for Delhi, India. In this per-spective, we have developed a high-resolution air quali-ty prediction system for Delhi based on chemical data assimilation in the chemical transport model-Weather Research and Forecasting with Chemistry (WRF-Chem). The data assimilation system was ap-plied to improve the PM2.5 forecast via assimilation of MODIS aerosol optical depth retrievals using three-dimensional variational data analysis scheme. Near real-time MODIS fire count data were applied simul-taneously to adjust the fire-emission inputs of chemi-cal species before the assimilation cycle. Carbon monoxide (CO) emissions from biomass burning, an-thropogenic emissions, and CO inflow from the do-main boundaries were tagged to understand the contribution of local and non-local emission sources. We achieved significant improvements for surface PM2.5 forecast with joint adjustment of initial condi-tions and fire emissions. © 2020, Indian Academy of Sciences.

Item Type:	Journal Article
Publication:	Current Science
Additional Information:	The copyrights for this article belongs to the authors.
Department/Centre:	Division of Mechanical Sciences > Centre for Atmospheric & Oceanic Sciences
Date Deposited:	24 Dec 2024 12:14
Last Modified:	24 Dec 2024 12:14
URI:	http://eprints.iisc.ac.in/id/eprint/65977

Actions (login required)

View Item