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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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doi:10.5194/amt-2017-128
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
15 May 2017
Review status
This discussion paper is under review for the journal Atmospheric Measurement Techniques (AMT).
The operational cloud retrieval algorithms from TROPOMI on board Sentinel-5 Precursor
Diego G. Loyola1, Sebastián Gimeno García1, Ronny Lutz1, Fabian Romahn1, Robert J. D. Spurr2, Mattia Pedergnana1, Adrian Doicu1, and Olena Schüssler1 1German Aerospace Centre (DLR), Remote Sensing Technology Institute, Oberpfaffenhofen, 82234 Wessling, Germany
2RT Solutions, Inc. 9 Channing Street, Cambridge, MA 02138, USA
Abstract. 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 UV/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 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 GOME/ERS-2 over twenty years ago. Use of the oxygen A-band generates complementary cloud information (especially for low clouds), as compared to traditional thermal infrared sensors (as used in most meteorological satellites) that are less sensitive to low clouds due to reduced thermal contrast.

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 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.


Citation: Loyola, D. G., Gimeno García, S., Lutz, R., Romahn, F., Spurr, R. J. D., Pedergnana, M., Doicu, A., and Schüssler, O.: The operational cloud retrieval algorithms from TROPOMI on board Sentinel-5 Precursor, Atmos. Meas. Tech. Discuss., doi:10.5194/amt-2017-128, in review, 2017.
Diego G. Loyola et al.
Diego G. Loyola et al.
Diego G. Loyola et al.

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Short summary
In this paper we present the operational cloud retrieval algorithms for the TROPOspheric Monitoring Instrument (TROPOMI) on board the Sentinel-5 Precursor (S5P) mission: OCRA (Optical Cloud Recognition Algorithm) retrieves the cloud fraction using measurements in the UV/VIS spectral regions and ROCINN (Retrieval of Cloud Information using Neural Networks) retrieves the cloud top height and optical thickness using measurements in and around the oxygen A-band in the NIR.
In this paper we present the operational cloud retrieval algorithms for the TROPOspheric...
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