{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1363388844922848128.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.5194/amt-4-975-2011"}},{"identifier":{"@type":"URI","@value":"https://amt.copernicus.org/articles/4/975/2011/amt-4-975-2011.pdf"}}],"dc:title":[{"@value":"Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:p>Abstract. The proposed development is an attempt to enhance aerosol retrieval by emphasizing statistical optimization in inversion of advanced satellite observations. This optimization concept improves retrieval accuracy relying on the knowledge of measurement error distribution. Efficient application of such optimization requires pronounced data redundancy (excess of the measurements number over number of unknowns) that is not common in satellite observations. The POLDER imager on board the PARASOL micro-satellite registers spectral polarimetric characteristics of the reflected atmospheric radiation at up to 16 viewing directions over each observed pixel. The completeness of such observations is notably higher than for most currently operating passive satellite aerosol sensors. This provides an opportunity for profound utilization of statistical optimization principles in satellite data inversion. The proposed retrieval scheme is designed as statistically optimized multi-variable fitting of all available angular observations obtained by the POLDER sensor in the window spectral channels where absorption by gas is minimal. The total number of such observations by PARASOL always exceeds a hundred over each pixel and the statistical optimization concept promises to be efficient even if the algorithm retrieves several tens of aerosol parameters. Based on this idea, the proposed algorithm uses a large number of unknowns and is aimed at retrieval of extended set of parameters affecting measured radiation.  The algorithm is designed to retrieve complete aerosol properties globally. Over land, the algorithm retrieves the parameters of underlying surface simultaneously with aerosol. In all situations, the approach is anticipated to achieve a robust retrieval of complete aerosol properties including information about aerosol particle sizes, shape, absorption and composition (refractive index). In order to achieve reliable retrieval from PARASOL observations even over very reflective desert surfaces, the algorithm was designed as simultaneous inversion of a large group of pixels within one or several images. Such multi-pixel retrieval regime takes advantage of known limitations on spatial and temporal variability in both aerosol and surface properties. Specifically the variations of the retrieved parameters horizontally from pixel-to-pixel and/or temporary from day-to-day are enforced to be smooth by additional a priori constraints. This concept is expected to provide satellite retrieval of higher consistency, because the retrieval over each single pixel will be benefiting from coincident aerosol information from neighboring pixels, as well, from the information about surface reflectance (over land) obtained in preceding and consequent observations over the same pixel.  The paper provides in depth description of the proposed inversion concept, illustrates the algorithm performance by a series of numerical tests and presents the examples of preliminary retrieval results obtained from actual PARASOL observations. It should be noted that many aspects of the described algorithm design considerably benefited from experience accumulated in the preceding effort on developments of currently operating AERONET and PARASOL retrievals, as well as several core software components were inherited from those earlier algorithms.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1380017282189916424","@type":"Researcher","foaf:name":[{"@value":"O. Dubovik"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388844922848128","@type":"Researcher","foaf:name":[{"@value":"M. Herman"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388844922848134","@type":"Researcher","foaf:name":[{"@value":"A. Holdak"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388844922848130","@type":"Researcher","foaf:name":[{"@value":"T. Lapyonok"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388844922848135","@type":"Researcher","foaf:name":[{"@value":"D. Tanré"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388844922848133","@type":"Researcher","foaf:name":[{"@value":"J. L. Deuzé"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388844922848132","@type":"Researcher","foaf:name":[{"@value":"F. Ducos"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388844922848129","@type":"Researcher","foaf:name":[{"@value":"A. Sinyuk"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388844922848131","@type":"Researcher","foaf:name":[{"@value":"A. Lopatin"}]}],"publication":{"publicationIdentifier":[{"@type":"EISSN","@value":"18678548"}],"prism:publicationName":[{"@value":"Atmospheric Measurement Techniques"}],"dc:publisher":[{"@value":"Copernicus GmbH"}],"prism:publicationDate":"2011-05-31","prism:volume":"4","prism:number":"5","prism:startingPage":"975","prism:endingPage":"1018"},"reviewed":"false","dc:rights":["https://creativecommons.org/licenses/by/3.0/"],"url":[{"@id":"https://amt.copernicus.org/articles/4/975/2011/amt-4-975-2011.pdf"}],"createdAt":"2011-05-31","modifiedAt":"2025-02-15","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360004235885030528","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"An effective method for retrieval of three kinds of aerosol properties focusing on a coming GCOM-C1 / SGLI in December of 2017"}]},{"@id":"https://cir.nii.ac.jp/crid/1360017279844212736","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"A review of coarse mineral dust in the Earth system"}]},{"@id":"https://cir.nii.ac.jp/crid/1360017282189916288","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions"}]},{"@id":"https://cir.nii.ac.jp/crid/1360017282199742592","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Satellite-based evaluation of AeroCom model bias in biomass burning regions"}]},{"@id":"https://cir.nii.ac.jp/crid/1360022307172466944","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Development of a new data-processing method for SKYNET sky radiometer observations"}]},{"@id":"https://cir.nii.ac.jp/crid/1360290617565566976","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Simulating and Evaluating Global Aerosol Distributions With the Online Aerosol‐Coupled CAS‐FGOALS Model"}]},{"@id":"https://cir.nii.ac.jp/crid/1360290617598966656","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"An overview of and issues with sky radiometer technology and SKYNET"}]},{"@id":"https://cir.nii.ac.jp/crid/1360565165846888704","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Space-based remote sensing of atmospheric aerosols: The multi-angle spectro-polarimetric frontier"}]},{"@id":"https://cir.nii.ac.jp/crid/1360857593721000960","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Efficient calculation of radiative intensity including the polarization effect in moderately thick atmospheres using a truncation approximation"}]},{"@id":"https://cir.nii.ac.jp/crid/2051151842060383232","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Rapid, accurate computation of narrow-band sky radiance in the 940 nm gas absorption region using the correlated k-distribution method for sun-photometer observations"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.5194/amt-4-975-2011"},{"@type":"CROSSREF","@value":"10.1117/12.2278159_references_DOI_4CRtIPnyeOoHalEsNEkI3etM0OE"},{"@type":"CROSSREF","@value":"10.1016/j.aeolia.2022.100849_references_DOI_4CRtIPnyeOoHalEsNEkI3etM0OE"},{"@type":"CROSSREF","@value":"10.1038/s41467-022-33680-4_references_DOI_4CRtIPnyeOoHalEsNEkI3etM0OE"},{"@type":"CROSSREF","@value":"10.5194/acp-22-11009-2022_references_DOI_4CRtIPnyeOoHalEsNEkI3etM0OE"},{"@type":"CROSSREF","@value":"10.5194/amtd-5-4361-2012_references_DOI_4CRtIPnyeOoHalEsNEkI3etM0OE"},{"@type":"CROSSREF","@value":"10.5194/amt-5-2723-2012_references_DOI_4CRtIPnyeOoHalEsNEkI3etM0OE"},{"@type":"CROSSREF","@value":"10.1029/2019jd032097_references_DOI_4CRtIPnyeOoHalEsNEkI3etM0OE"},{"@type":"CROSSREF","@value":"10.5194/amt-13-4195-2020_references_DOI_4CRtIPnyeOoHalEsNEkI3etM0OE"},{"@type":"CROSSREF","@value":"10.1016/j.earscirev.2015.01.012_references_DOI_4CRtIPnyeOoHalEsNEkI3etM0OE"},{"@type":"CROSSREF","@value":"10.1186/s40645-022-00467-6_references_DOI_4CRtIPnyeOoHalEsNEkI3etM0OE"},{"@type":"CROSSREF","@value":"10.1016/j.jqsrt.2021.107976_references_DOI_4CRtIPnyeOoHalEsNEkI3etM0OE"}]}