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Greenhouse Gas Retrievals for the CO2M mission using the FOCAL method: First Performance Estimates.

Authors :
Noël, Stefan
Buchwitz, Michael
Hilker, Michael
Reuter, Maximilian
Weimer, Michael
Bovensmann, Heinrich
Burrows, John P.
Bösch, Hartmut
Lang, Ruediger
Source :
Atmospheric Measurement Techniques Discussions; 9/21/2023, p1-33, 33p
Publication Year :
2023

Abstract

The Anthropogenic Carbon Dioxide Monitoring (CO2M) mission is a constellation of satellites currently planned to be launched in 2026. CO2M is planned to be a core component of a Monitoring and Verification Support (MVS) service capacity under development as part of the Copernicus Atmosphere Monitoring Service (CAMS). The CO2M radiance measurements will be used to retrieve column-averaged dry-air mole fractions of atmospheric carbon dioxide (XCO<subscript>2</subscript>), methane XCH<subscript>4</subscript>) and total columns of nitrogen dioxide (NO<subscript>2</subscript>). Using appropriate inverse modelling, the atmospheric greenhouse gas GHG) observations will be used to derive United Nations Framework Convention on Climate Change (UNFCCC) COP 21 Paris Agreement relevant information on GHG sources and sinks. This challenging application requires highly accurate XCO<subscript>2</subscript> and XCH<subscript>4</subscript> retrievals. Three different retrieval algorithms to derive XCO<subscript>2</subscript> and XCH<subscript>4</subscript> are currently under development for the operational processing system at EUMETSAT. One of these algorithms uses the heritage of the FOCAL (Fast atmOspheric traCe gAs retrievaL) method, which has already successfully been applied to measurements from other satellites. Here, we show recent results generated using the CO2M version of FOCAL, called FOCAL-CO2M. To assess the quality of the FOCAL-CO2M retrievals, a large set of representative simulated radiance spectra has been generated using the radiative transfer model SCIATRAN. These simulations consider the planned viewing geometry of the CO<subscript>2</subscript> instrument and corresponding geophysical scene data (including different types of aerosols and varying surface properties) which were taken from model data for the year 2015. We consider instrument noise and systematic errors due to the retrieval method but have not considered additional error sources due to e.g. instrumental issues, spectroscopy, or meteorology. On the other hand, we have also not taken advantage in this study of CO2M's MAP (Multi Angle Polarimeter) instrument, which will provide additional information on aerosols and cirrus clouds. By application of the FOCAL retrieval to these simulated data confidence is gained that the FOCAL method is able to fulfil the challenging requirements on systematic errors for the CO2M mission (spatio-temporal bias = 0.5 ppm for XCO<subscript>2</subscript> and = 5 ppb for XCH4). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18678610
Database :
Complementary Index
Journal :
Atmospheric Measurement Techniques Discussions
Publication Type :
Academic Journal
Accession number :
172266277
Full Text :
https://doi.org/10.5194/amt-2023-194