{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T19:24:20Z","timestamp":1787340260045,"version":"3.56.0"},"reference-count":27,"publisher":"Society for Industrial & Applied Mathematics (SIAM)","issue":"1","funder":[{"name":"Orbiting Carbon Observatory-2"},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP 150104576"],"award-info":[{"award-number":["DP 150104576"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["NNH11ZDA001N-OCO2"],"award-info":[{"award-number":["NNH11ZDA001N-OCO2"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SIAM\/ASA J. Uncertainty Quantification"],"published-print":{"date-parts":[[2017,1]]},"abstract":"<jats:p>Remote sensing of the atmosphere has provided a wealth of data for analyses and inferences in earth science. Satellite observations can provide information on the atmospheric state at fine spatial and temporal resolution while providing substantial coverage across the globe. For example, this capability can greatly enhance the understanding of the space-time variation of the greenhouse gas, carbon dioxide ($CO_2$), since ground-based measurements are limited. NASA's Orbiting Carbon Observatory-2 (OCO-2) collects tens of thousands of observations of reflected sunlight daily, and the mission's retrieval algorithm processes these indirect measurements into estimates of atmospheric $CO_2$. The retrieval is an inverse problem and consists of a physical forward model for the transfer of radiation through the atmosphere that includes absorption and scattering by gases, aerosols, and the surface. The model and other algorithm inputs introduce key sources of uncertainty into the retrieval problem. This article develops a computationally efficient surrogate model that is embedded in a simulation experiment for studying the impact of uncertain inputs on the distribution of the retrieval error.<\/jats:p>","DOI":"10.1137\/16m1060765","type":"journal-article","created":{"date-parts":[[2017,9,6]],"date-time":"2017-09-06T11:32:18Z","timestamp":1504697538000},"page":"956-985","source":"Crossref","is-referenced-by-count":30,"title":["Simulation-Based Uncertainty Quantification for Estimating Atmospheric CO$_2$ from Satellite Data"],"prefix":"10.1137","volume":"5","author":[{"given":"Jonathan","family":"Hobbs","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amy","family":"Braverman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Noel","family":"Cressie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Granat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Gunson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"351","published-online":{"date-parts":[[2017,9,6]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1038\/nclimate1354"},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.5194\/acp-15-5743-2015"},{"key":"atypb3","doi-asserted-by":"crossref","unstructured":"P. Clais, C. Sabine, G. Bala, L. Bopp, V. Brovkin, J. Canadell, A. Chhabra, R. DeFries, J. Galloway, M. Heimann, C. Jones, C. L. Que\u0301re\u0301, R. B. Myneni, S. Piao, and P. Thornton,\n                      Carbon and other biogeochemical cycles\n                      , in Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, T. F. Stocker, D. Qin, G.K. Plattner, M. Tignor, S. K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex, and P. M. Midgley, eds., Cambridge University Press, Cambridge, 2013, pp. 465-570.","DOI":"10.1017\/CBO9781107415324.015"},{"key":"atypb4","doi-asserted-by":"publisher","DOI":"10.5194\/amt-9-5227-2016"},{"key":"atypb5","doi-asserted-by":"publisher","DOI":"10.1029\/2006JD008336"},{"key":"atypb6","doi-asserted-by":"publisher","DOI":"10.1002\/sta4.88"},{"key":"atypb7","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1002\/asmb.1946","volume":"29","author":"Cressie N.","year":"2013","journal-title":"Appl. Stoch. Models Bus. Ind."},{"key":"atypb8","doi-asserted-by":"publisher","DOI":"10.1002\/2015JD024353"},{"key":"atypb9","unstructured":"D. Crisp, H. Boesch, L. Brown, R. Castano, M. Christi, B. Connor, A. Eldering, C. Frankenberg, M. Gunson, J. McDuffie, C. Miller, V. Natraj, C. O'Dell, D. O'Brien, I. Polonsky, F. Oyafuso, M. Smyth, D. Thompson, G. Toon, and R. Spurr,\n                      Orbiting Carbon Observatory (OCO)-2 Level 2 Full Physics Algorithm Theoretical Basis Document\n                      , Technical report, OCO D-65488, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 2014."},{"key":"atypb10","doi-asserted-by":"publisher","DOI":"10.1198\/1085711032697"},{"key":"atypb11","unstructured":"A. Eldering, R. Pollock, R. Lee, R. Rosenberg, F. Oyafuso, D. Crisp, L. Chapsky, and R. Granat,\n                      Orbiting Carbon Observatory (OCO)-2 Level $1$b Theoretical Basis Document\n                      , Technical report, OCO D-55206, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 2015."},{"key":"atypb12","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2004.02053.x"},{"key":"atypb13","doi-asserted-by":"publisher","DOI":"10.22237\/jmasm\/1462076760"},{"key":"atypb14","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-9473(99)00076-6"},{"key":"atypb15","doi-asserted-by":"publisher","DOI":"10.1029\/95WR01945"},{"key":"atypb16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jqsrt.2007.02.011"},{"key":"atypb17","unstructured":"NRC,\n                      Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification\n                      , The National Academies Press, Washington, DC, 2012."},{"key":"atypb18","doi-asserted-by":"publisher","DOI":"10.1029\/2009JD012803"},{"key":"atypb19","doi-asserted-by":"publisher","DOI":"10.5194\/amt-5-99-2012"},{"key":"atypb20","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsoft.2011.03.003"},{"key":"atypb21","doi-asserted-by":"publisher","DOI":"10.1002\/2014JD022411"},{"key":"atypb22","doi-asserted-by":"crossref","unstructured":"C. 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Rodgers,\n                      Inverse Methods for Atmospheric Sounding\n                      , World Scientific, Hackensack, NJ, 2000.","DOI":"10.1142\/3171"},{"key":"atypb23","doi-asserted-by":"publisher","DOI":"10.1029\/2002JD002299"},{"key":"atypb24","doi-asserted-by":"publisher","DOI":"10.1029\/2004JD004927"},{"key":"atypb25","doi-asserted-by":"publisher","DOI":"10.1029\/2001JD900007"},{"key":"atypb26","doi-asserted-by":"publisher","DOI":"10.1029\/96JD03295"},{"key":"atypb27","doi-asserted-by":"publisher","DOI":"10.5194\/acp-10-9521-2010"}],"container-title":["SIAM\/ASA Journal on Uncertainty Quantification"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/epubs.siam.org\/doi\/pdf\/10.1137\/16M1060765","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T18:27:18Z","timestamp":1787336838000},"score":1,"resource":{"primary":{"URL":"https:\/\/epubs.siam.org\/doi\/10.1137\/16M1060765"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1]]},"references-count":27,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,1]]}},"alternative-id":["10.1137\/16M1060765"],"URL":"https:\/\/doi.org\/10.1137\/16m1060765","relation":{},"ISSN":["2166-2525"],"issn-type":[{"value":"2166-2525","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1]]}}}