Articles

Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized...

Export this record

Export selected records

Export record to excel

File type to download

Beta version

Record title

Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees

Record identifier

TN_cdi_doaj_primary_oai_doaj_org_article_dbefcc3dfac84d2e8f5609d4b624e138

Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees

ACCESS
https://collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dbefcc3dfac84d2e8f5609d4b624e138

Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees

Full title

Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees

Publisher

Katlenburg-Lindau: Copernicus GmbH

Journal title

Atmospheric chemistry and physics, 2020, Vol.20 (6), p.3273-3289

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_dbefcc3dfac84d2e8f5609d4b624e138

Language

English

Formats

Publication information

Publisher

Katlenburg-Lindau: Copernicus GmbH

More information

SCOPE AND CONTENTS

Contents

Fine particulate matter with aerodynamic diameters ≤2.5 µm (PM2.5) has adverse effects on human health and the atmospheric environment. The estimation of surface PM2.5 concentrations has made intensive use of satellite-derived aerosol products. However, it has been a great challenge to obtain high-quality and high-resolution PM2.5 data from both gr...

ALTERNATIVE TITLES

Full title

Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees

Identifiers

PRIMARY IDENTIFIERS

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_dbefcc3dfac84d2e8f5609d4b624e138

Permalink

https://collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dbefcc3dfac84d2e8f5609d4b624e138

OTHER IDENTIFIERS

ISSN

1680-7316

E-ISSN

1680-7324

DOI

10.5194/acp-20-3273-2020

How to access this item

Online

1 item

How to access?

Login with a Library card