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Data · dataset · 2026

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

Listed in National Center for Atmospheric Research

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.

Description

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 mu g/m(3) (about 50%).The accuracy of the forecast degrades slightly with lead time as mean bias increase from+2.5 mu g/m(3) on the first day to - 17 mu g/m(3) 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.

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Atmospheric sciences 72%
Provenance · 1 source records, 8 field assertions
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National Center for Atmospheric Research49b94b26-bbd2-4459-b085-c40c7dfacd7311 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
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