Potential and shortcomings of numerical weather prediction models in providing meteorological data for urban air pollution forecasting

被引：0

作者：

Baklanov, A ^{[1
]}

Rasmussen, A ^{[1
]}

Fay, B ^{[1
]}

Berge, E ^{[1
]}

Finardi, S ^{[1
]}

机构：

[1] DMI, Copenhagen O, Denmark

来源：

URBAN AIR QUALITY - RECENT ADVANCES, PROCEEDINGS | 2002年

关键词：

numerical weather prediction models; operational urban air quality information and forecasting systems; urban air pollution episodes; urban boundary layer;

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The last decade progress in numerical weather prediction (NWP) modelling and studies of urban atmospheric processes for providing meteorological data for urban air pollution forecasting is analysed on examples of several European meteorological centres. Modern nested NWP models are utilising land-use databases down to 1 km resolution or finer, and are approaching the necessary horizontal and vertical resolution suitable for city scale. The recent scientific developments in the field of urban atmospheric physics and the growing availability of high-resolution urban surface characteristics data promise further improvements of the capability of NWP models for this aim. A strategy to improve NWP data for the urban air pollution forecasting is suggested.

引用

页码：43 / 60

页数：18

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