Performance of high resolution (400 m) PM2.5 forecast over Delhi

Abstract This study reports a very high-resolution (400 m grid-spacing) operational air quality forecasting system developed to alert residents of Delhi and the National Capital Region (NCR) about forthcoming acute air pollution episodes. Such a high-resolution system has been developed for the firs...

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Autores principales:	Chinmay Jena, Sachin D. Ghude, Rajesh Kumar, Sreyashi Debnath, Gaurav Govardhan, Vijay K. Soni, Santosh H. Kulkarni, G. Beig, Ravi S. Nanjundiah, M. Rajeevan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d1c9df13a8294b6c9d252f2e926936a7
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spelling	oai:doaj.org-article:d1c9df13a8294b6c9d252f2e926936a72021-12-02T14:21:42ZPerformance of high resolution (400 m) PM2.5 forecast over Delhi10.1038/s41598-021-83467-82045-2322https://doaj.org/article/d1c9df13a8294b6c9d252f2e926936a72021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83467-8https://doaj.org/toc/2045-2322Abstract This study reports a very high-resolution (400 m grid-spacing) operational air quality forecasting system developed to alert residents of Delhi and the National Capital Region (NCR) about forthcoming acute air pollution episodes. Such a high-resolution system has been developed for the first time and is evaluated during October 2019-February 2020. The system assimilates near real-time aerosol observations from in situ and space-borne platform in the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) to produce a 72-h forecast daily in a dynamical downscaling framework. The assimilation of aerosol optical depth and surface PM2.5 observations improves the initial condition for surface PM2.5 by about 45 µg/m3 (about 50%).The accuracy of the forecast degrades slightly with lead time as mean bias increase from + 2.5 µg/m3 on the first day to − 17 µg/m3 on the third day of forecast. Our forecast is found to be very skillful both for PM2.5 concentration and unhealthy/ very unhealthy air quality index categories, and has been helping the decision-makers in Delhi make informed decisions.Chinmay JenaSachin D. GhudeRajesh KumarSreyashi DebnathGaurav GovardhanVijay K. SoniSantosh H. KulkarniG. BeigRavi S. NanjundiahM. RajeevanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chinmay Jena Sachin D. Ghude Rajesh Kumar Sreyashi Debnath Gaurav Govardhan Vijay K. Soni Santosh H. Kulkarni G. Beig Ravi S. Nanjundiah M. Rajeevan Performance of high resolution (400 m) PM2.5 forecast over Delhi
description	Abstract This study reports a very high-resolution (400 m grid-spacing) operational air quality forecasting system developed to alert residents of Delhi and the National Capital Region (NCR) about forthcoming acute air pollution episodes. Such a high-resolution system has been developed for the first time and is evaluated during October 2019-February 2020. The system assimilates near real-time aerosol observations from in situ and space-borne platform in the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) to produce a 72-h forecast daily in a dynamical downscaling framework. The assimilation of aerosol optical depth and surface PM2.5 observations improves the initial condition for surface PM2.5 by about 45 µg/m3 (about 50%).The accuracy of the forecast degrades slightly with lead time as mean bias increase from + 2.5 µg/m3 on the first day to − 17 µg/m3 on the third day of forecast. Our forecast is found to be very skillful both for PM2.5 concentration and unhealthy/ very unhealthy air quality index categories, and has been helping the decision-makers in Delhi make informed decisions.
format	article
author	Chinmay Jena Sachin D. Ghude Rajesh Kumar Sreyashi Debnath Gaurav Govardhan Vijay K. Soni Santosh H. Kulkarni G. Beig Ravi S. Nanjundiah M. Rajeevan
author_facet	Chinmay Jena Sachin D. Ghude Rajesh Kumar Sreyashi Debnath Gaurav Govardhan Vijay K. Soni Santosh H. Kulkarni G. Beig Ravi S. Nanjundiah M. Rajeevan
author_sort	Chinmay Jena
title	Performance of high resolution (400 m) PM2.5 forecast over Delhi
title_short	Performance of high resolution (400 m) PM2.5 forecast over Delhi
title_full	Performance of high resolution (400 m) PM2.5 forecast over Delhi
title_fullStr	Performance of high resolution (400 m) PM2.5 forecast over Delhi
title_full_unstemmed	Performance of high resolution (400 m) PM2.5 forecast over Delhi
title_sort	performance of high resolution (400 m) pm2.5 forecast over delhi
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d1c9df13a8294b6c9d252f2e926936a7
work_keys_str_mv	AT chinmayjena performanceofhighresolution400mpm25forecastoverdelhi AT sachindghude performanceofhighresolution400mpm25forecastoverdelhi AT rajeshkumar performanceofhighresolution400mpm25forecastoverdelhi AT sreyashidebnath performanceofhighresolution400mpm25forecastoverdelhi AT gauravgovardhan performanceofhighresolution400mpm25forecastoverdelhi AT vijayksoni performanceofhighresolution400mpm25forecastoverdelhi AT santoshhkulkarni performanceofhighresolution400mpm25forecastoverdelhi AT gbeig performanceofhighresolution400mpm25forecastoverdelhi AT ravisnanjundiah performanceofhighresolution400mpm25forecastoverdelhi AT mrajeevan performanceofhighresolution400mpm25forecastoverdelhi
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Performance of high resolution (400 m) PM2.5 forecast over Delhi

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