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德里高分辨率(400 米)PM 预报的性能。

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

机构信息

Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, India.

National Center for Atmospheric Research, Boulder, CO, 80301, USA.

出版信息

Sci Rep. 2021 Feb 18;11(1):4104. doi: 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 PM observations improves the initial condition for surface PM by about 45 µg/m (about 50%).The accuracy of the forecast degrades slightly with lead time as mean bias increase from + 2.5 µg/m on the first day to - 17 µg/m on the third day of forecast. Our forecast is found to be very skillful both for PM concentration and unhealthy/ very unhealthy air quality index categories, and has been helping the decision-makers in Delhi make informed decisions.

摘要

本研究报告了一个非常高分辨率(400 米网格间距)的空气质量预报系统,该系统旨在提醒德里和国家首都地区(NCR)的居民即将发生的急性空气污染事件。这样的高分辨率系统是首次开发的,并在 2019 年 10 月至 2020 年 2 月期间进行了评估。该系统在天气研究和预报模型(WRF-Chem)中同化了来自现场和星载平台的实时气溶胶观测数据,以在动力降尺度框架内每天生成 72 小时的预报。气溶胶光学深度和地面 PM 观测的同化改善了地面 PM 的初始条件,使地面 PM 减少约 45μg/m(约 50%)。随着预报提前量的增加,预报的准确性略有下降,第一天的平均偏差增加到+2.5μg/m,第三天的平均偏差为-17μg/m。我们的预报在 PM 浓度和不健康/非常不健康的空气质量指数类别方面都非常准确,并且一直帮助德里的决策者做出明智的决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82dc/7892871/ccbd38443aa2/41598_2021_83467_Fig1_HTML.jpg

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