Molecular absorption cross-section datasets for atmospheric gas retrieval from GOMOS: NO2, NO3

The high-resolution cross-sections for NO2 and NO3 used in the new GOMOS cross-section database.

This dataset is used in the publication:
Bingen C, Robert C, Hermans C, Vanhellemont F, Mateshvili N, Dekemper E and Fussen D (2019) A Revised Cross-Section Database for Gas Retrieval in the UV-Visible-Near IR Range, Applied to the GOMOS Retrieval Algorithm AerGOM. Front. Environ. Sci. 7:118. https://doi.org/10.3389/fenvs.2019.00118

Data and Resources

Tags

Cite this as (APA format)

Bingen, C. (2019). Molecular absorption cross-section datasets for atmospheric gas retrieval from GOMOS: NO2, NO3 (Version 1) [Dataset]. Royal Belgian Institute for Space Aeronomy. https://doi.org/10.18758/71021045

Users of this DOI are kindly encouraged to contact the author(s) for help and cooperation towards further successful utilisation.

Author(s)
Principal

Bingen, Christineorcid, Royal Belgian Institute for Space Aeronomy
Other(s)

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Contact data-contact of Royal Belgian Institute for Space Aeronomy

Technical info
Is referenced by

Bingen, C., Robert, C., Hermans, C., Vanhellemont, F., Mateshvili, N., Dekemper, E., & Fussen, D. (2019). A Revised Cross-Section Database for Gas Retrieval in the UV-Visible-Near IR Range, Applied to the GOMOS Retrieval Algorithm AerGOM. Frontiers in Environmental Science, 7. https://doi.org/10.3389/fenvs.2019.00118 (Belgian institutional Open Access repository for Federal Science)

Documentation

https://planetary.aeronomie.be/

Temporal features

Additional info
Funding details

  • Belgian Federal Science Policy (BELSPO)

  • Aerosol_cci, ESA Climate Change Initiative, #4000109874/14/I-NB

  • EXPANSION, ESA Living Planet Fellowship, #4000116512/16/I-NB

  • MIMOSA-5, Marie Curie Career Integration Grant, EU-FP7, Grant Agreement #293560

  • AerGOM, ESA, Contract 22022/OP/I-OL
Repository homepage

https://data.aeronomie.be/dataset/
Last Updated

January 30, 2025
Created

April 25, 2019

Spatial features

No spatial information