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The CO2Image mission: retrieval studies and performance analysis

Hochstaffl, Philipp and Baumgartner, Andreas and Schreier, Franz and Köhler, Claas Henning and Slijkhuis, Sander and Lichtenberg, Günter and Trautmann, Thomas and Roiger, Anke-Elisabeth and Feist, Dietrich and Marshall, Julia and Butz, André (2023) The CO2Image mission: retrieval studies and performance analysis. ODAS 2023: Joint ONERA-DLR aerospace symposium, 2023-05-31 - 2023-06-02, Paris, France.

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Abstract

The CO2Image satellite mission, led by the German Aerospace Center (DLR), aims to demonstrate the feasibility of quantifying carbon dioxide (CO2) and methane (CH4) emissions from medium-size point sources. Several DLR institutes are currently working on the reliminary design phase (Phase B) of the mission. Here we present a performance analysis based on the current instrument specifications. The Beer InfraRed Retrieval Algorithm (BIRRA), the line-by-line radiative transfer model Py4CAtS (Python for Computational ATmospheric Spectroscopy) and a COSIS (Carbon dioxide Sensing Imaging Spectrometer) instrument model are employed to infer CO2 and CH4 concentrations from synthetic COSIS spectra. We evaluate the instrument's performance and determine if it meets the intended requirements. The study assesses uncertainties in the retrieved concentrations as well as errors in point source emission estimates caused by instrument noise. First results suggest that the detection and quantification limits stated in the mission requirements document are justified. The analysis also demonstrates that retrieval errors tend to increase when the signal-to-noise ratio is low, complicating the distinction between emission sources and background concentrations. Furthermore, we discuss non-instrumental effects and demonstrate that the fit quality significantly improves if a low-level plume is scaled instead of a background reference profile that covers the atmosphere's full vertical extent. The analysis on heterogeneous scenes (high albedo contrast) reveals that the various instrument setups perform similarly for both molecules.

Item URL in elib:https://elib.dlr.de/197272/
Document Type:Conference or Workshop Item (Speech)
Title:The CO2Image mission: retrieval studies and performance analysis
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Hochstaffl, PhilippUNSPECIFIEDhttps://orcid.org/0000-0001-9537-3050UNSPECIFIED
Baumgartner, AndreasUNSPECIFIEDhttps://orcid.org/0000-0002-8495-5407143024968
Schreier, FranzUNSPECIFIEDhttps://orcid.org/0000-0001-7196-6599UNSPECIFIED
Köhler, Claas HenningUNSPECIFIEDhttps://orcid.org/0000-0003-0127-935XUNSPECIFIED
Slijkhuis, SanderUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lichtenberg, GünterUNSPECIFIEDhttps://orcid.org/0000-0002-3335-2008UNSPECIFIED
Trautmann, ThomasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Roiger, Anke-ElisabethDLR, IPAUNSPECIFIEDUNSPECIFIED
Feist, DietrichDLR, IPAhttps://orcid.org/0000-0002-5890-6687UNSPECIFIED
Marshall, JuliaDLR, IPAhttps://orcid.org/0000-0003-2648-128XUNSPECIFIED
Butz, AndréUniv. Heidelberghttps://orcid.org/0000-0003-0593-1608UNSPECIFIED
Date:June 2023
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-8
Status:Published
Keywords:carbon dioxide, methane, concentration fields, emission rates, short-wave infrared, radiative transfer, inversion
Event Title:ODAS 2023: Joint ONERA-DLR aerospace symposium
Event Location:Paris, France
Event Type:international Conference
Event Start Date:31 May 2023
Event End Date:2 June 2023
Organizer:ONERA (Office national d’études et de recherches aérospatiales)
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 - Project CO2Image [EO]
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Atmospheric Trace Species
Remote Sensing Technology Institute > Atmospheric Processors
Remote Sensing Technology Institute > Experimental Methods
Deposited By: Hochstaffl, Dr. Philipp
Deposited On:26 Sep 2023 12:01
Last Modified:24 Apr 2024 20:57

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