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Seasonal Dependence of Aerosol Data Assimilation and Forecasting Using Satellite and Ground-Based Ob...

Seasonal Dependence of Aerosol Data Assimilation and Forecasting Using Satellite and Ground-Based Ob...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4733f7673b9646649c97b5b425e7f902

Seasonal Dependence of Aerosol Data Assimilation and Forecasting Using Satellite and Ground-Based Observations

About this item

Full title

Seasonal Dependence of Aerosol Data Assimilation and Forecasting Using Satellite and Ground-Based Observations

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2022-05, Vol.14 (9), p.2123

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

This study examines the performance of a data assimilation and forecasting system that simultaneously assimilates satellite aerosol optical depth (AOD) and ground-based PM10 and PM2.5 observations into the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem). The data assimilation case for the surface PM10 and PM2.5 concentratio...

Alternative Titles

Full title

Seasonal Dependence of Aerosol Data Assimilation and Forecasting Using Satellite and Ground-Based Observations

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4733f7673b9646649c97b5b425e7f902

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4733f7673b9646649c97b5b425e7f902

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs14092123

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