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Numerical Weather Predictions and Re-Analysis as Input for Lidar Inversions: Assessment of the Impac...

Numerical Weather Predictions and Re-Analysis as Input for Lidar Inversions: Assessment of the Impac...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_32223cf2858846089cf39611fd65908a

Numerical Weather Predictions and Re-Analysis as Input for Lidar Inversions: Assessment of the Impact on Optical Products

About this item

Full title

Numerical Weather Predictions and Re-Analysis as Input for Lidar Inversions: Assessment of the Impact on Optical Products

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2022-05, Vol.14 (10), p.2342

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The atmospheric molecular number density can be obtained from atmospheric temperature and pressure profiles and is a significant input parameter for the inversion of lidar measurements. When measurements of vertical profiles of temperature and pressure are not available, atmospheric models are typically considered a valid alternative option. This p...

Alternative Titles

Full title

Numerical Weather Predictions and Re-Analysis as Input for Lidar Inversions: Assessment of the Impact on Optical Products

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_32223cf2858846089cf39611fd65908a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_32223cf2858846089cf39611fd65908a

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs14102342

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