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ToolsJayakumar, A., Anurose, T. J., Bhati, Shweta, Hendry, Margaret A., Hayman, Garry, Gordon, Hamish, Field, Paul, Mohandas, Saji, Rumbold, Heather, Yadav, Prafull, Dhangar, Narendra Gokul, Parde, Avinash, Wagh, Sandeep, Ghude, Sachin, Ross, Andrew N., Smith, Daniel, Dorling, Stephen, George, John P., Prasad, V. S. and Ravichandran, M. (2025) Development of an integrated modeling framework for visibility and air quality forecasting in Delhi. Bulletin of the American Meteorological Society, 106 (2). E261-E274. ISSN 0003-0007
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Abstract
Rapid urbanization has subjected the megacities of developing countries to various environmental stresses. Delhi, a major Indian megacity, faces increasing urban stress leading to reduction in air quality and visibility. These challenges necessitate an integrated modeling framework to mitigate adverse environmental impacts on public health. Therefore, we have developed an advanced version of the high-resolution Delhi Model with Chemistry and aerosol framework (DM-Chem) at the National Centre for Medium Range Weather Forecasting (NCMRWF) under the Weather and Climate Science for Service Partnership India (WCSSP India) project. This collaborative initiative between India and the United Kingdom aims to provide real-time forecasts of visibility and fine particulate matter (PM2.5) for Delhi and neighboring regions during the winter season. The DM-Chem framework is unique due to its detailed urban canopy scheme and realistic aerosol representation, making it well suited for city-scale forecasts. It is designed to predict extreme fog and pollution events in the winter season. Here, we discuss the major physical parameterization improvements for the model, along with its skill and deficiencies in predicting extreme events. Notably, irrigation effects on surrounding agricultural areas have significantly improved fog and visibility forecasts, but have degraded the wind forecasts. We demonstrate the applicability of this modeling framework to study aerosol–radiation interaction during fog holes and discuss its potential to be applied or adapted to other megacities worldwide.
| Item Type: | Article |
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| Additional Information: | Data availability statement: Due to intellectual property right restrictions, the Met Office Unified Model is available for use under license for NCMRWF, being a core partner. For further information on how to apply for a license, see http://www.metoffice.gov.uk/research/modelling-systems/unified-model. The data used to initialize the DM-Chem1.0 are from METUM data which is cited in Jayakumar et al. (2021). The MODIS liquid water path datasets were acquired from the Level 1 and Atmosphere Archive and Distribution System (LAADS) Distributed Active Archive Center (DAAC), located in the Goddard Space Flight Center in Greenbelt, Maryland (https://ladsweb.nascom.nasa.gov/). The SYNOP data are available from the Indian Meteorological Department (http://aws.imd.gov.in/) on request. Funding information: The work is supported by the research grant of NCMRWF, Ministry of Earth Sciences (MoES), and conducted through WCSSP India, a collaborative initiative between MoES and the Met Office, U.K. GH acknowledges the support of the NERC National Capability Awards: UKESM NE/V01319X/1 and TerraFIRMA NE/W004895/1. |
| Faculty \ School: | Faculty of Science > School of Environmental Sciences University of East Anglia Research Groups/Centres > Theme - ClimateUEA |
| UEA Research Groups: | Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences Faculty of Social Sciences > Research Centres > Water Security Research Centre |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 13 Oct 2025 11:34 |
| Last Modified: | 01 Nov 2025 12:31 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/100705 |
| DOI: | 10.1175/BAMS-D-24-0194.1 |
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