{"refrec":{"BRefID":353578,"RR":"<b>Noël, S.; Reuter, M.; Buchwitz, M.; Borchardt, J.; Hilker, M.; Bovensmann, H.; Burrows, J.P.; Di Noia, A.; Suto, H.; Yoshida, Y.; Buschmann, M.; Deutscher, N.M.; Feist, D.G.; Griffith, D.W.T.; Hase, F.; Kivi, R.; Morino, I.; Notholt, J.; Ohyama, H.; Petri, C.; Podolske, J.R.; Pollard, D.F.; Sha, M.K.; Shiomi, K.; Sussmann, R.; Té, Y.; Velazco, V.A.; Warneke, T.</b> (2021). XCO<sub>2</sub> retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm. <i>AMT 14(5)</i>: 3837-3869. <a href=\"https://dx.doi.org/10.5194/amt-14-3837-2021\" target=\"_blank\">https://dx.doi.org/10.5194/amt-14-3837-2021</a>","BEntID":351288,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>AMT 14(5)</i>: 3837-3869. <a href=\"https://dx.doi.org/10.5194/amt-14-3837-2021\" target=\"_blank\">https://dx.doi.org/10.5194/amt-14-3837-2021</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Noël, S.; Reuter, M.; Buchwitz, M.; Borchardt, J.; Hilker, M.; Bovensmann, H.; Burrows, J.P.; Di Noia, A.; Suto, H.; Yoshida, Y.; Buschmann, M.; Deutscher, N.M.; Feist, D.G.; Griffith, D.W.T.; Hase, F.; Kivi, R.; Morino, I.; Notholt, J.; Ohyama, H.; Petri, C.; Podolske, J.R.; Pollard, D.F.; Sha, M.K.; Shiomi, K.; Sussmann, R.; Té, Y.; Velazco, V.A.; Warneke, T.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Noël, S. <i>et al.</i>","Englishabstract":"<p id=\"d1e461\">Since 2009, the Greenhouse gases Observing SATellite (GOSAT) has performed radiance measurements in the near-infrared (NIR) and shortwave infrared (SWIR) spectral region. From February 2019 onward, data from GOSAT-2 have  also been available.</p><p id=\"d1e464\">We present the first results from the application of the Fast atmospheric traCe gAs retrievaL (FOCAL) algorithm to derive column-averaged dry-air mole fractions of carbon dioxide (<span class=\"inline-formula\">XCO<sub>2</sub></span>) from GOSAT and GOSAT-2 radiances and their validation. FOCAL was initially developed for OCO-2 <span class=\"inline-formula\">XCO<sub>2</sub></span> retrievals and allows simultaneous retrievals of several gases over both land and ocean. Because FOCAL is accurate and numerically very fast, it is currently being considered as a candidate algorithm for the forthcoming European anthropogenic <span class=\"inline-formula\">CO<sub>2</sub></span> Monitoring (CO2M) mission to be launched in 2025.</p><p id=\"d1e500\">We present the adaptation of FOCAL to GOSAT and discuss the changes made and GOSAT specific additions. This particularly includes modifications in pre-processing (e.g. cloud detection) and post-processing (bias correction and filtering).</p><p id=\"d1e503\"><span id=\"page3838\"></span>A feature of the new application of FOCAL to GOSAT and GOSAT-2 is the independent use of both S- and P-polarisation spectra in the retrieval. This is not possible for OCO-2, which measures only one polarisationdirection. Additionally, we make use of GOSAT's wider spectral coverage comparedto OCO-2 and derive not only <span class=\"inline-formula\">XCO<sub>2</sub></span>, water vapour (<span class=\"inline-formula\">H<sub>2</sub>O</span>), and solar-induced fluorescence (SIF) but also methane (<span class=\"inline-formula\">XCH<sub>4</sub>)</span>, with the potential for further atmospheric constituents and parameters like semi-heavy water vapour (<span class=\"inline-formula\">HDO</span>). In the case of GOSAT-2, the retrieval of nitrous oxide (<span class=\"inline-formula\">XN<sub>2</sub>O</span>) and  carbon monoxide (<span class=\"inline-formula\">CO</span>) may also be possible.</p><p id=\"d1e573\">Here, we concentrate on the new FOCAL <span class=\"inline-formula\">XCO<sub>2</sub></span> data products. We describe the generation of the products as well as applied filtering and bias correction procedures. GOSAT-FOCAL <span class=\"inline-formula\">XCO<sub>2</sub></span> data have been produced for the time interval 2009 to 2019. Comparisons with other independent GOSAT data sets reveal agreement of long-term temporal variations within about1 <span class=\"inline-formula\">ppm</span> over 1&nbsp;decade; differences in seasonal variations of about 0.5 <span class=\"inline-formula\">ppm</span> are observed. Furthermore, we obtain a station-to-station bias of the new GOSAT-FOCAL product to the ground-based Total Carbon Column Observing Network (TCCON) of 0.56 <span class=\"inline-formula\">ppm</span> with a mean scatter of 1.89 <span class=\"inline-formula\">ppm</span>.</p><p id=\"d1e632\">The GOSAT-2-FOCAL <span class=\"inline-formula\">XCO<sub>2</sub></span> product is generated in a similar way as the GOSAT-FOCAL product, but with adapted settings. All GOSAT-2 data until the end of 2019 have been processed. Because of this limited time interval, the GOSAT-2 results are considered to be preliminary only, but first comparisons show that these data compare well with the GOSAT-FOCAL results and also TCCON.</p>","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"XCO<sub>2</sub> retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-04-28 01:32:56.264340","timezone_type":1,"timezone":"+02:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":null,"OtherDescriptors":null,"Notes":null,"AnaPub":2021,"MonPub":null,"DateUpdate":"2022-07-12","DateCreate":"2022-07-08","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000657136800003","VABBcode":null,"OpenAcc":1,"DOI":"10.5194/amt-14-3837-2021"},"refs":null,"anarec":{"AnaID":353578,"PubliDate":2021,"Pagination":"3837-3869","XtraPublOfAnaID":null,"ISBN":null,"Volume":"14","Issue":"5","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":238894,"SerRR":"Atmospheric Measurement Techniques. 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