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Systematic Propagation of AVHRR AOD Uncertainties - A Case Study to Demonstrate the FIDUCEO Approach

Popp, Thomas und Mittaz, Jonathan (2021) Systematic Propagation of AVHRR AOD Uncertainties - A Case Study to Demonstrate the FIDUCEO Approach. Remote Sensing, 14, Seiten 1-23. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs14040875. ISSN 2072-4292.

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Offizielle URL: https://www.mdpi.com/2072-4292/14/4/875/pdf

Kurzfassung

The AVHRR aerosol optical depth (AOD) is inverted from measured reflectances in the red band using a statistical correlation of surface reflectance with mid-infrared channel reflectances and a modelling climatology of the aerosol type. For such a sensor not specifically designed for AOD re-trieval, propagating uncertainties is crucial because the sensitivity of the retrieved AOD to the measured signal varies largely with retrieval conditions (AOD itself, surface brightness, aerosol optical properties/aerosol type, observing geometry). In order to quantify the different contribu-tions to the AOD uncertainties, we have undertaken a thorough analysis of the retrieval operator and its sensitivities to the used input and auxiliary variables. Uncertainties are then propagated from measured reflectances to geophysical retrieved AOD datasets at the super-pixel level and further to gridded daily and monthly products. The propagation uses uncertainty correlations of separate uncertainty contributions from the FIDUCEO easyFCDR level1b products (common fully correlated, independent random, and structured parts) and estimated uncertainty correlation structures of other major effects in the retrieval (surface brightness, aerosol type ensemble, cloud mask). The pixel-level uncertainties are statistically validated against true error estimates versus AERONET ground-based AOD measurements. It is shown that a 10-year time record over Europe compares well to a merged multi-satellite record and that pixel-level uncertainties provide a meaningful representation of error distributions. The study demonstrates the benefits of new reci-pes for uncertainty characterization from the Horizon-2020 project FIDUCEO (Fidelity and un-certainty in climate data records from Earth Observations) and extends them further with recent additions developed within the ESA Climate Change Initiative.

elib-URL des Eintrags:https://elib.dlr.de/185745/
Dokumentart:Zeitschriftenbeitrag
Titel:Systematic Propagation of AVHRR AOD Uncertainties - A Case Study to Demonstrate the FIDUCEO Approach
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Popp, Thomasthomas.popp (at) dlr.dehttps://orcid.org/0000-0002-1970-8733NICHT SPEZIFIZIERT
Mittaz, JonathanNPLNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:12 Februar 2021
Erschienen in:Remote Sensing
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:14
DOI:10.3390/rs14040875
Seitenbereich:Seiten 1-23
Verlag:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:veröffentlicht
Stichwörter:uncertainty propagation; aerosol optical depth; satellite-based climate data records
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Fernerkundung u. Geoforschung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Atmosphäre
Hinterlegt von: Popp, Dr.rer.nat Thomas
Hinterlegt am:17 Mai 2022 14:09
Letzte Änderung:17 Mai 2022 14:09

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