← Search

Data · dataset · 2026

Regional data assimilation of multi-spectral MOPITT observations of CO over North America

Listed in National Center for Atmospheric Research

Chemical transport models (CTMs) driven with high-resolution meteorological fields can better resolve small-scale processes, such as frontal lifting or deep convection, and thus improve the simulation and emission estimates of tropospheric trace gases.

Description

In this work, we explore the use of the GEOS-Chem four-dimensional variational (4D-Var) data assimilation system with the nested high-resolution version of the model (0.5° ×

Links

Get the data

Where it is published

Catalogue records · 1

Topics

Inferred from text
Chemical oceanography 76% · Simulation 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
National Center for Atmospheric Researchbd850398-36ad-4f56-bfc1-bf5ef2aa7c9112 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:370802enrichment · data ucar edutaxonomy-embedding@1.1.0title+keywords+description (76%)
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[method].local:method:simulationenrichment · data ucar edukeyword-concept-rules@1.0.0title+description (75%)
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