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

Jena, Chinmay ; Ghude, Sachin D. ; Kumar, Rajesh ; Debnath, Sreyashi ; Govardhan, Gaurav ; Soni, Vijay K. ; Kulkarni, Santosh H. ; Beig, G. ; Nanjundiah, Ravi S. ; Rajeevan, M. (2021) Performance of high resolution (400 m) PM2.5 forecast over Delhi Scientific Reports, 11 (1). ISSN 2045-2322

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Official URL: http://doi.org/10.1038/s41598-021-83467-8

Related URL: http://dx.doi.org/10.1038/s41598-021-83467-8

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.

Item Type:Article
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ID Code:133341
Deposited On:28 Dec 2022 04:28
Last Modified:28 Dec 2022 04:28

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