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Algorithm theoretical baseline for formaldehyde retrievals from S5P TROPOMI and from the QA4ECV project

Authors :
De Smedt, Isabelle
Theys, Nicolas
Yu, Huan
Danckaert, Thomas
Lerot, Christophe
Compernolle, Steven
Van Roozendael, Michel
Richter, Andreas
Hilboll, Andreas
Peters, Enno
Pedergnana, Mattia
Loyola, Diego
Beirle, Steffen
Wagner, Thomas
Eskes, Henk
Van Geffen, Jos
Folkert Boersma, Klaas
Veefkind, Pepijn
De Smedt, Isabelle
Theys, Nicolas
Yu, Huan
Danckaert, Thomas
Lerot, Christophe
Compernolle, Steven
Van Roozendael, Michel
Richter, Andreas
Hilboll, Andreas
Peters, Enno
Pedergnana, Mattia
Loyola, Diego
Beirle, Steffen
Wagner, Thomas
Eskes, Henk
Van Geffen, Jos
Folkert Boersma, Klaas
Veefkind, Pepijn
Source :
ISSN: 1867-1381
Publication Year :
2018

Abstract

On board the Copernicus Sentinel-5 Precursor (S5P) platform, the TROPOspheric Monitoring Instrument (TROPOMI) is a double-channel, nadir-viewing grating spectrometer measuring solar back-scattered earthshine radiances in the ultraviolet, visible, near-infrared, and shortwave infrared with global daily coverage. In the ultraviolet range, its spectral resolution and radiometric performance are equivalent to those of its predecessor OMI, but its horizontal resolution at true nadir is improved by an order of magnitude. This paper introduces the formaldehyde (HCHO) tropospheric vertical column retrieval algorithm implemented in the S5P operational processor and comprehensively describes its various retrieval steps. Furthermore, algorithmic improvements developed in the framework of the EU FP7-project QA4ECV are described for future updates of the processor. Detailed error estimates are discussed in the light of Copernicus user requirements and needs for validation are highlighted. Finally, verification results based on the application of the algorithm to OMI measurements are presented, demonstrating the performances expected for TROPOMI.

Details

Database :
OAIster
Journal :
ISSN: 1867-1381
Notes :
application/pdf, Atmospheric Measurement Techniques 11 (2018) 4, ISSN: 1867-1381, ISSN: 1867-1381, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1200323036
Document Type :
Electronic Resource