{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T15:40:16Z","timestamp":1784389216153,"version":"3.55.0"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Marie Curie ITN iMIRACLI Project \u201cInnovative Machine Learning to Constrain Aerosol-Cloud Climate Impacts\u201d","award":["860100"],"award-info":[{"award-number":["860100"]}]},{"name":"ERC through the ERC-SyG-2019 USMILE Project \u201cUnderstanding and Modeling the Earth System With Machine Learning\u201d","award":["855187"],"award-info":[{"award-number":["855187"]}]},{"name":"Horizon Europe ELIAS Project \u201cEuropean Lighthouse of AI for Sustainability\u201d","award":["101120237"],"award-info":[{"award-number":["101120237"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tgrs.2025.3540173","type":"journal-article","created":{"date-parts":[[2025,2,11]],"date-time":"2025-02-11T18:25:24Z","timestamp":1739298324000},"page":"1-13","source":"Crossref","is-referenced-by-count":6,"title":["Invertible Neural Networks for Probabilistic Aerosol Optical Depth Retrieval"],"prefix":"10.1109","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-1910-2327","authenticated-orcid":false,"given":"Paolo","family":"Pelucchi","sequence":"first","affiliation":[{"name":"Image Processing Laboratory, Universitat de València, Valencia, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9291-064X","authenticated-orcid":false,"given":"Jorge Vicent","family":"Servera","sequence":"additional","affiliation":[{"name":"Image Processing Laboratory, Universitat de València, Valencia, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1191-0128","authenticated-orcid":false,"given":"Philip","family":"Stier","sequence":"additional","affiliation":[{"name":"Department of Physics, Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1683-2138","authenticated-orcid":false,"given":"Gustau","family":"Camps-Valls","sequence":"additional","affiliation":[{"name":"Image Processing Laboratory, Universitat de València, Valencia, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nature01091"},{"key":"ref2","volume-title":"Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change","year":"2021"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.07.003"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/36.628795"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1029\/2006jd007811"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.5194\/amt-9-3293-2016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1029\/2018JD029688"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2020.112221"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosres.2021.105802"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1029\/96JD03437"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/rs12182900"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3330544"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.5194\/amt-2-679-2009"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3389\/frsen.2021.706851"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1175\/BAMS-D-19-0027.1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3300460"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2020.112093"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/rs13030456"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2009.2023605"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.5194\/amt-15-895-2022"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.5194\/acp-24-2113-2024"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2007.912725"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.11.016"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2006.05.009"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2020.111716"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3307934"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2166120"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2009.2037720"},{"key":"ref29","article-title":"Analyzing inverse problems with invertible neural networks","author":"Ardizzone","year":"2018","journal-title":"arXiv:1808.04730"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaerosci.2022.105977"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992934"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2021.3066260"},{"key":"ref33","article-title":"Density estimation using real NVP","author":"Dinh","year":"2016","journal-title":"arXiv:1605.08803"},{"issue":"1","key":"ref34","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"Gretton","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2005.857031"},{"key":"ref36","volume-title":"Algorithm for remote sensing of tropospheric aerosol over dark targets for MODIS: Collections 005 and 051","author":"Levy","year":"2009"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1029\/96JD03988"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.5194\/acp-10-10399-2010"},{"key":"ref39","volume-title":"Dark Target Aerosol Retrieval Algorithm: Stand-alone Code","author":"Levy","year":"2023"},{"key":"ref40","article-title":"MODIS\/Terra+Aqua BRDF\/albedo gap-filled snow-free daily L3 global 30ArcSec CMG V006 [data set]","author":"Schaaf","year":"2019"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1029\/95JD02371"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.5194\/amt-12-169-2019"},{"key":"ref43","volume-title":"AERONET Site Lists (V3)","author":"Slutsker","year":"2024"},{"key":"ref44","volume-title":"Framework for easily invertible architectures (FrEIA)","author":"Ardizzone","year":"2021"},{"key":"ref45","volume-title":"Statistical Inference","author":"Casella","year":"2002"},{"key":"ref46","article-title":"Accurate uncertainties for deep learning using calibrated regression","author":"Kuleshov","year":"2018","journal-title":"arXiv:1807.00263"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1175\/JAS3385.1"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2022.113412"},{"key":"ref49","article-title":"Dropout as a Bayesian approximation: Representing model uncertainty in deep learning","author":"Gal","year":"2015","journal-title":"arXiv:1506.02142"},{"key":"ref50","volume-title":"MODIS Technical Specifications","author":"Maccherone","year":"2024"},{"key":"ref51","article-title":"MODIS atmosphere L2 aerosol product","author":"Levy","year":"2015"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.5194\/amt-13-373-2020"},{"key":"ref53","volume-title":"ERA5 Hourly Data on Single Levels From 1940 to Present","author":"Hersbach","year":"2023"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1029\/2001GL013206"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1038\/s43017-022-00296-7"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.5194\/acp-23-4115-2023"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10807682\/10883027.pdf?arnumber=10883027","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T18:44:18Z","timestamp":1740163458000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10883027\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2025.3540173","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}