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Data · dataset · 2026

The potential for geostationary remote sensing of NO2 to improve weather prediction

Listed in National Center for Atmospheric Research

Observations of winds in the planetary boundary layer remain sparse making it challenging to simulate and predict atmospheric conditions that are most important for describing and predicting urban air quality.

Description

Short-lived chemicals are observed as plumes whose location is affected by boundary layer winds and whose lifetime is affected by boundary layer height and mixing. Here we investigate the application of data assimilation of NO2 columns as will be observed from geostationary orbit to improve predictions and retrospective analysis of wind fields in the boundary layer.

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Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
National Center for Atmospheric Researchf814a75c-7553-4619-9957-71163b0facdb12 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:370102enrichment · data ucar edutaxonomy-embedding@1.1.0title+keywords+description (75%)
concepts[field].local:field:earth-environmentalmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[modality].local:modality:remote-sensingenrichment · data ucar edukeyword-concept-rules@1.0.0title+description (65%)
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0