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Carbon Monoxide Total Column Retrievals from Sentinel-5P Short-Wave Infrared Nadir Measurements

Hochstaffl, Philipp and Schreier, Franz (2018) Carbon Monoxide Total Column Retrievals from Sentinel-5P Short-Wave Infrared Nadir Measurements. Atmos 2018, 26.-29. Nov. 2018, Salzburg, Austria.

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Official URL: http://atmos2018.esa.int/

Abstract

We present our first results in the Level1-2 processing of carbon monoxide (CO) total columns from Sentinel-5P (S5P) Short-Wave Infrared (SWIR) observations. The retrievals will be performed using the Beer Infrared Retrieval (BIRRA). BIRRA performs a least squares fit of Earth#s radiance (essentially transmission) to retrieve the molecular column densities (essentially density scaling factors) along with some auxiliary parameters (reflectivity etc.) [Gimeno Garcia et al., AMT 2011]. It has been developed at DLR since about 2005 and its computational core modules have been integrated in the operational SCIAMACHY (Scanning Imaging Absorption Spectrometer for Atmospheric Chartography) L1b-2 processor to retrieve CO from channel 8 (2.3 microns) and methane from channel 6 (1.6 microns) nadir observations. In the framework of DLR's SCIAMACHY activities BIRRA CO columns have been thoroughly examined in several intercomparisons [e.g. Hochstaffl et al., Remote Sens. 2018]. The forward model of BIRRA is essentially based on the GARLIC (Generic Atmospheric Radiation Line-by-line Infrared Code, Schreier et al. 2014) which has also been thoroughly verified and validated in numerous studies [Schreier et al., JQSRT 2018; Schreier et al., Molec. Astrophysics 2018]. In this study we will use the latest version of the BIRRA prototype featuring new enhancements such as advanced line shapes accounting for line mixing and speed dependence. An updated framework is providing appropriate auxiliary information (e.g. latest molecular spectroscopy data, a priori atmospheric profiles of pressure, temperature, and concentrations of interfering species, topography, ...). Finally, for diagnostic analysis we will consider the residual norms, residual spectra, the distribution of errors of the state vector elements, and comparisons with other data products. More specifically, we intend to estimate the quality of the product in view of the accuracy requirements defined in the mission preparation phase (i.e. 15% for CO) using NDACC (Network for the Detection of Atmospheric Composition Change) or TCCON (Total Carbon Column Observing Network) ground-based observations.

Item URL in elib:https://elib.dlr.de/124049/
Document Type:Conference or Workshop Item (Poster)
Title:Carbon Monoxide Total Column Retrievals from Sentinel-5P Short-Wave Infrared Nadir Measurements
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hochstaffl, PhilippPhilipp.Hochstaffl (at) dlr.dehttps://orcid.org/0000-0001-9537-3050
Schreier, FranzFranz.Schreier (at) dlr.dehttps://orcid.org/0000-0001-7196-6599
Date:November 2018
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Remote sensing, Atmospheres, Retrieval, Infrared, Sentinel 5p
Event Title:Atmos 2018
Event Location:Salzburg, Austria
Event Type:international Conference
Event Dates:26.-29. Nov. 2018
Organizer:ESA
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):Vorhaben Spectroscopic Methods in Remote Sensing
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Schreier, Dr.rer.nat. Franz
Deposited On:05 Dec 2018 12:29
Last Modified:03 Apr 2019 10:54

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