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Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO2

Wilzewski, Jonas and Roiger, Anke-Elisabeth and Strandgren, Johan and Landgraf, Jochen and Feist, Dietrich G. and Velazco, Voltaire A. and Deutscher, Nicholas M. and Morino, Isamu and Ohyama, Hirofumi and Té, Yao and Kivi, Rigel and Warneke, Thorsten and Notholt, Justus and Dubey, Manvendra K. and Sussmann, Ralf and Rettinger, Markus and Hase, Frank and Shiomi, Kei and Butz, André (2020) Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO2. Atmospheric Measurement Techniques (13), pp. 731-745. Copernicus Publications. DOI: 10.5194/amt-13-731-2020 ISSN 1867-1381

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Official URL: https://doi.org/10.5194/amt-13-731-2020


Verifying anthropogenic carbon dioxide (CO2) emissions globally is essential to inform about the progress of institutional efforts to mitigate anthropogenic climate forcing. To monitor localized emission sources, spectroscopic satellite sensors have been proposed that operate on the CO2 absorption bands in the shortwave-infrared (SWIR) spectral range with ground resolution as fine as a few tens of meters to about a hundred meters. When designing such sensors, fine ground resolution requires a trade-off towards coarse spectral resolution in order to achieve sufficient noise performance. Since fine ground resolution also implies limited ground coverage, such sensors are envisioned to fly in fleets of satellites, requiring low-cost and simple design, e.g., by restricting the spectrometer to a single spectral band. Here, we use measurements of the Greenhouse Gases Observing Satellite (GOSAT) to evaluate the spectral resolution and spectral band selection of a prospective satellite sensor with fine ground resolution. To this end, we degrade GOSAT SWIR spectra of the CO2 bands at 1.6 (SWIR-1) and 2.0 µm (SWIR-2) to coarse spectral resolution, without a further addition of noise, and we evaluate single-band retrievals of the column-averaged dry-air mole fractions of CO2 (XCO2) by comparison to ground truth provided by the Total Carbon Column Observing Network (TCCON) and by comparison to global “native” GOSAT retrievals with native spectral resolution and spectral band selection. Coarsening spectral resolution from GOSAT's native resolving power of >20 000 to the range of 700 to a few thousand makes the scatter of differences between the SWIR-1 and SWIR-2 retrievals and TCCON increase moderately. For resolving powers of 1200 (SWIR-1) and 1600 (SWIR-2), the scatter increases from 2.4 (native) to 3.0 ppm for SWIR-1 and 3.3 ppm for SWIR-2. Coarser spectral resolution yields only marginally worse performance than the native GOSAT configuration in terms of station-to-station variability and geophysical parameter correlations for the GOSAT–TCCON differences. Comparing the SWIR-1 and SWIR-2 configurations to native GOSAT retrievals on the global scale, however, reveals that the coarse-resolution SWIR-1 and SWIR-2 configurations suffer from some spurious correlations with geophysical parameters that characterize the light-scattering properties of the scene such as particle amount, size, height and surface albedo. Overall, the SWIR-1 and SWIR-2 configurations with resolving powers of 1200 and 1600 show promising performance for future sensor design in terms of random error sources while residual errors induced by light scattering along the light path need to be investigated further. Due to the stronger CO2 absorption bands in SWIR-2 than in SWIR-1, the former has the advantage that measurement noise propagates less into the retrieved XCO2 and that some retrieval information on particle scattering properties is accessible.

Item URL in elib:https://elib.dlr.de/134145/
Document Type:Article
Title:Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO2
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Wilzewski, JonasDLR, IPAhttps://orcid.org/0000-0002-1392-2966
Roiger, Anke-ElisabethDLR, IPAUNSPECIFIED
Strandgren, JohanDLR, IPAhttps://orcid.org/0000-0001-7876-5845
Landgraf, JochenNetherlands Institute for Space Research, Utrecht, NiederlandeUNSPECIFIED
Feist, Dietrich G.DLR, IPA und Univ. Münchenhttps://orcid.org/0000-0002-5890-6687
Velazco, Voltaire A.Univ. of Wollongong, NSW, Australienhttps://orcid.org/0000-0002-1376-438X
Deutscher, Nicholas M.Univ. of Wollongong, NSW, Australienhttps://orcid.org/0000-0002-2906-2577
Morino, IsamuNIES, Tsukuba, Japanhttps://orcid.org/0000-0003-2720-1569
Ohyama, HirofumiNIES, Tsukuba, Japanhttps://orcid.org/0000-0003-2109-9874
Té, YaoSorbonne Univ., Paris, FrankreichUNSPECIFIED
Kivi, RigelFMI, Sodankylä, Finlandhttps://orcid.org/0000-0001-8828-2759
Warneke, ThorstenUniv. BremenUNSPECIFIED
Notholt, JustusUniv. BremenUNSPECIFIED
Dubey, Manvendra K.Los Alamos National Laboratory, Los Alamos, NM, USAhttps://orcid.org/0000-0002-3492-790X
Sussmann, RalfKIT, Garmisch-PartenkirchenUNSPECIFIED
Rettinger, MarkusKIT, Garmisch-PartenkirchenUNSPECIFIED
Hase, FrankKIT, KarlsruheUNSPECIFIED
Shiomi, KeiJAXA, Tsukuba, JapanUNSPECIFIED
Butz, AndréUniv. HeidelbergUNSPECIFIED
Date:13 February 2020
Journal or Publication Title:Atmospheric Measurement Techniques
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
DOI :10.5194/amt-13-731-2020
Page Range:pp. 731-745
Publisher:Copernicus Publications
Keywords:passive remote sensing; CO2; spectral sizing; satellite; monitoring of emissions
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):R - Vorhaben Atmosphären- und Klimaforschung
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics
Institute of Atmospheric Physics > Atmospheric Trace Species
Institute of Atmospheric Physics > Lidar
Deposited By: Wilzewski, Jonas
Deposited On:19 Feb 2020 18:00
Last Modified:24 Feb 2020 10:14

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