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Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of...

Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4d70435b665b43c5a7cb72326a70645b

Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1

About this item

Full title

Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1

Publisher

Katlenburg-Lindau: Copernicus GmbH

Journal title

Geoscientific Model Development, 2019-01, Vol.12 (1), p.33-67

Language

English

Formats

Publication information

Publisher

Katlenburg-Lindau: Copernicus GmbH

More information

Scope and Contents

Contents

An operational multi-model forecasting system for air quality including nine different chemical transport models has been developed and provides daily forecasts of ozone, nitrogen oxides, and particulate matter for the 37 largest urban areas of China (population higher than 3 million in 2010). These individual forecasts as well as the mean and median concentrations for the next 3 days are displayed on a publicly accessible website (http://www.marcopolo-panda.eu, last access: 7 December 2018). The paper describes the forecasting system and shows some selected illustrative examples of air quality predictions. It presents an intercomparison of the different forecasts performed during a given period of time (1–15 March 2017) and highlights recurrent differences between the model output as well as systema...

Alternative Titles

Full title

Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4d70435b665b43c5a7cb72326a70645b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4d70435b665b43c5a7cb72326a70645b

Other Identifiers

ISSN

1991-9603,1991-959X,1991-962X

E-ISSN

1991-9603,1991-962X

DOI

10.5194/gmd-12-33-2019

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