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Using modelled relationships and satellite observations to attribute modelled aerosol biases over bi...

Using modelled relationships and satellite observations to attribute modelled aerosol biases over bi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_026078dd2f704157b074c36e7ffa5b56

Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions

About this item

Full title

Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2022-10, Vol.13 (1), p.5914-5914, Article 5914

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Biomass burning (BB) is a major source of aerosols that remain the most uncertain components of the global radiative forcing. Current global models have great difficulty matching observed aerosol optical depth (AOD) over BB regions. A common solution to address modelled AOD biases is scaling BB emissions. Using the relationship from an ensemble of...

Alternative Titles

Full title

Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_026078dd2f704157b074c36e7ffa5b56

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_026078dd2f704157b074c36e7ffa5b56

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-022-33680-4

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