Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/13039
An eleven year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm
Title: An eleven year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm
Authors: Taylor, Thomas E.O'Dell, ChristopherCrisp, DavidKuze, AkhikoLindqvist, HannakaisaWennberg, Paul O.Chatterjee, AbhishekGunson, Michael R.Eldering, AnnmarieFisher, BrendanKiel, MatthaeusNelson, Robert R.Merrelli, AronneOsterman, GregoryChevallier, F.Palmer, Paul I.Feng, LiangDeutscher, Nicholas MichaelDubey, Manvendra K.Feist, Dietrich G.García Rodríguez, Omaira Elena ORCID RESEARCHERID Griffith, David W. T.Hase, FrankIraci, LauraKivi, RigelLiu, ChengMazière, Martine deMorino, IsamuNotholt, JustusOh, Young-SukOhyama, HirofumiPollard, DavidRettinger, MarkusRoehl, Coleen M.Schneider, Matthias RESEARCHERID Sha, Mahesh K.Shiomi, KeiStrong, KimberlySussmann, RalfTe, YaoVelazco, Voltaire A.Vrekoussis, MihalisWarneke, ThorstenWunch, Debra
Keywords: Spectrometer; Greenhouse gases; Total Carbon Column Observing Network
Issue Date: 2021
Publisher: Copernicus Publications
Citation: Earth System Science Data Discussions. 2021
Publisher version: https://doi.org/10.5194/essd-2021-247
Abstract: The Thermal And Near infrared Sensor for carbon Observation – Fourier Transform Spectrometer (TANSO-FTS) on the Japanese Greenhouse gases Observing SATellite (GOSAT) has been returning data since April 2009. The version 9 (v9) Atmospheric Carbon Observations from Space (ACOS) Level 2 Full Physics (L2FP) retrieval algorithm (Kiel et al., 2019) was used to derive estimates of carbon dioxide (CO2) dry air mole fraction (XCO2) from the TANSO-FTS measurements collected over it's first eleven years of operation. The bias correction and quality filtering of the L2FP XCO2 product were evaluated using estimates derived from the Total Carbon Column Observing Network (TCCON) as well as values simulated from a suite of global atmospheric inverse modeling systems (models). In addition, the v9 ACOS GOSAT XCO2 results were compared with collocated XCO2 estimates derived from NASA's Orbiting Carbon Observatory-2 (OCO-2), using the version 10 (v10) ACOS L2FP algorithm. These tests indicate that the v9 ACOS GOSAT XCO2 product has improved throughput, scatter and bias, when compared to the earlier v7.3 ACOS GOSAT product, which extended through mid 2016. Of the 37 million (M) soundings collected by GOSAT through June 2020, approximately 20 % were selected for processing by the v9 L2FP algorithm after screening for clouds and other artifacts. After post-processing, 5.4 % of the soundings (2M out of 37M) were assigned a “good” XCO2 quality flag, as compared to 3.9 % in v7.3 (< 1M out of 24M). After quality filtering and bias correction, the differences in XCO2 between ACOS GOSAT v9 and both TCCON and models have a scatter (one sigma) of approximately 1 ppm for ocean-glint observations and 1 to 1.5 ppm for land observations. Similarly, global mean biases are less than approximately 0.2 ppm. Seasonal mean biases relative to the v10 OCO-2 XCO2 product are of order 0.1 ppm for observations over land. However, for ocean-glint observations, seasonal mean biases relative to OCO-2 range from 0.2 to 0.6 ppm, with substantial variation in time and latitude. The ACOS GOSAT v9 XCO2 data are available on the NASA Goddard Earth Science Data and Information Services Center (GES-DISC). The v9 ACOS Data User's Guide (DUG) describes best-use practices for the data. This dataset should be especially useful for studies of carbon cycle phenomena that span a full decade or more, and may serve as a useful complement to the shorter OCO-2 v10 dataset, which begins in September 2014.
URI: http://hdl.handle.net/20.500.11765/13039
ISSN: 1866-3591
Appears in Collections:Artículos científicos 2019-2021


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