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Characterization of OCO-2 and ACOS-GOSAT biases and errors for CO2 flux estimates [Discussion paper]
Title: Characterization of OCO-2 and ACOS-GOSAT biases and errors for CO2 flux estimates [Discussion paper]
Authors: Kulawik, SusanCrowell, SeanBaker, David F.Liu, JunjieMcKain, KathrynSweeney, ColmBiraud, Sebastien C.Wofsy, Steven C.O’Dell, Christopher W.Wennberg, Paul O.Wunch, DebraRoehl, Coleen M.Deutscher, Nicholas MichaelKiel, MatthaeusGriffith, David W. T.Velazco, Voltaire A.Notholt, JustusWarneke, ThorstenPetri, ChristofDe Mazière, MartineSha, Mahesh KumarSussmann, RalfRettinger, MarkusPollard, David F.Morino, IsamuUchino, OsamuHase, FrankFeist, Dietrich G.Roche, SébastienStrong, KimberlyKivi, RigelIraci, LauraShiomi, KeiDubey, Manvendra K.Sepúlveda Hernández, EliezerGarcía Rodríguez, Omaira Elena ORCID RESEARCHERID Autor AEMETTe, YaoJeseck, PascalHeikkinen, PauliDlugokencky, Edward J.Gunson, Michael R.Eldering, AnnmarieCrisp, DavidFisher, BrendanOsterman, Gregory
Keywords: Orbiting Carbon Observatory-2; Atmospheric CO2 Observations from Space; Greenhouse Gas Observing SATellite; Atmospheric Tomography; Total Carbon Column Observing Network
Issue Date: 2019
Publisher: European Geosciences Union; Copernicus Publications
Citation: Atmospheric Measurement Techniques Discussions [Preprint]. 2019
Publisher version:
Abstract: We characterize the magnitude of seasonally and spatially varying biases in the National Aeronautics and Space Administration (NASA) Orbiting Carbon Observatory-2 (OCO-2) Version 8 (v8) and the Atmospheric CO2 Observations from Space (ACOS) Greenhouse Gas Observing SATellite (GOSAT) version 7.3 (v7.3) satellite CO2 retrievals by comparisons to measurements collected by the Total Carbon Column Observing Network (TCCON), Atmospheric Tomography (ATom) experiment, and National Oceanic and Atmospheric Administration (NOAA) Earth System Research Laboratory (ESRL) and 50 U. S. Department of Energy (DOE) aircraft, and surface stations. Although the ACOS-GOSAT estimates of the column averaged carbon dioxide (CO2) dry air mole fraction (XCO2) have larger random errors than the OCO-2 XCO2 estimates, and the space-based estimates over land have larger random errors than those over ocean, the systematic errors are similar across both satellites and surface types, 0.6 ± 0.1 ppm. We find similar estimates of systematic error whether dynamic versus geometric coincidences or ESRL/DOE aircraft versus TCCON are used for validation (over land), once validation and co55 location errors are accounted for. We also find that areas with sparse throughput of good quality data (due to quality flags and preprocessor selection) over land have ~double the error of regions of high-throughput of good quality data. We characterize both raw and bias-corrected results, finding that bias correction improves systematic errors by a factor of 2 for land observations and improves errors by ~0.2 ppm for ocean.
ISSN: 1867-1381
Appears in Collections:Artículos científicos 2019-2022

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