Performance of high resolution (400 m) PM_2.5 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 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 PM_2.5 observations improves the initial condition for surface PM_2.5 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 PM_2.5 concentration and unhealthy/ very unhealthy air quality index categories, and has been helping the decision-makers in Delhi make informed decisions.

SUBMITTER: Jena C 

PROVIDER: S-EPMC7892871 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature