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The operational cloud retrieval algorithms from TROPOMI on board Sentinel-5 Precursor

Loyola, Diego and Gimeno-Garcia, Sebastian and Lutz, Ronny and Argyrouli, Athina and Romahn, Fabian and Spurr, Robert and Pedergnana, Mattia and Doicu, Adrian and Molina García, Víctor and Schüssler, Olena (2018) The operational cloud retrieval algorithms from TROPOMI on board Sentinel-5 Precursor. Atmospheric Measurement Techniques (AMT), 11 (1), pp. 409-427. Copernicus Publications. doi: 10.5194/amt-11-409-2018. ISSN 1867-1381.

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Official URL: https://www.atmos-meas-tech.net/11/409/2018/amt-11-409-2018.html


This paper presents the operational cloud retrieval algorithms for the TROPOspheric Monitoring Instrument (TROPOMI) on board the European Space Agency Sentinel-5 Precursor (S5P) mission scheduled for launch in 2017. Two algorithms working in tandem are used for retrieving cloud properties: OCRA (Optical Cloud Recognition Algorithm) and ROCINN (Retrieval of Cloud Information using Neural Networks). OCRA retrieves the cloud fraction using TROPOMI measurements in the ultraviolet (UV) and visible (VIS) spectral regions, and ROCINN retrieves the cloud top height (pressure) and optical thickness (albedo) using TROPOMI measurements in and around the oxygen A-band in the near infrared (NIR). Cloud parameters from TROPOMI/S5P will be used not only for enhancing the accuracy of trace gas retrievals but also for extending the satellite data record of cloud information derived from oxygen A-band measurements, a record initiated with the Global Ozone Monitoring Experiment (GOME) on board the second European Remote-Sensing Satellite (ERS-2) over 20 years ago. The OCRA and ROCINN algorithms are integrated in the S5P operational processor UPAS (Universal Processor for UV/VIS/NIR Atmospheric Spectrometers), and we present here UPAS cloud results using the Ozone Monitoring Instrument (OMI) and GOME-2 measurements. In addition, we examine anticipated challenges for the TROPOMI/S5P cloud retrieval algorithms, and we discuss the future validation needs for OCRA and ROCINN.

Item URL in elib:https://elib.dlr.de/119213/
Document Type:Article
Title:The operational cloud retrieval algorithms from TROPOMI on board Sentinel-5 Precursor
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Loyola, DiegoDiego.Loyola (at) dlr.dehttps://orcid.org/0000-0002-8547-9350
Lutz, RonnyRonny.Lutz (at) dlr.deUNSPECIFIED
Argyrouli, Athinaathina.argyrouli (at) dlr.deUNSPECIFIED
Romahn, Fabianfabian.romahn (at) dlr.deUNSPECIFIED
Spurr, RobertRT SolutionsUNSPECIFIED
Pedergnana, Mattiamattia.pedergnana (at) dlr.deUNSPECIFIED
Doicu, AdrianAdrian.Doicu (at) dlr.deUNSPECIFIED
Molina García, Víctorvictor.molinagarcia (at) dlr.deUNSPECIFIED
Schüssler, Olenaeh. DLRUNSPECIFIED
Date:18 January 2018
Journal or Publication Title:Atmospheric Measurement Techniques (AMT)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
DOI :10.5194/amt-11-409-2018
Page Range:pp. 409-427
Publisher:Copernicus Publications
Series Name:Special Issue: TROPOMI on Sentinel-5 Precursor: data products and algorithms
Keywords:Remote Sensing, Clouds
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Atmospheric and climate research
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Lutz, Dr. Ronny
Deposited On:08 Mar 2018 13:24
Last Modified:08 Mar 2018 13:24

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