The impact of multi-species surface chemical observation assimilation on air quality forecasts in Ch...
The impact of multi-species surface chemical observation assimilation on air quality forecasts in China
About this item
Full title
Author / Creator
Peng, Zhen , Lei, Lili , Liu, Zhiquan , Sun, Jianning , Ding, Aijun , Ban, Junmei , Chen, Dan , Kou, Xingxia and Chu, Kekuan
Publisher
Katlenburg-Lindau: Copernicus GmbH
Journal title
Language
English
Formats
Publication information
Publisher
Katlenburg-Lindau: Copernicus GmbH
Subjects
More information
Scope and Contents
Contents
An ensemble Kalman filter data assimilation (DA) system has been developed to improve air quality forecasts using surface measurements of PM10, PM2.5, SO2, NO2, O3, and CO together with an online regional chemical transport model, WRF-Chem (Weather Research and Forecasting with Chemistry). This DA system was applied to simultaneously adjust the che...
Alternative Titles
Full title
The impact of multi-species surface chemical observation assimilation on air quality forecasts in China
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e638048d139141f19e3b9165729ee068
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e638048d139141f19e3b9165729ee068
Other Identifiers
ISSN
1680-7324,1680-7316
E-ISSN
1680-7324
DOI
10.5194/acp-18-17387-2018
