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dc.contributor.authorZhang, Zhibo
dc.contributor.authorDong, Xiquan
dc.contributor.authorXi, Baike
dc.contributor.authorSong, Hua
dc.contributor.authorMa, Po-Lun
dc.contributor.authorGhan, Steven J.
dc.contributor.authorPlatnick, Steven
dc.contributor.authorMinnis, Patrick
dc.date.accessioned2017-04-24T17:23:00Z
dc.date.available2017-04-24T17:23:00Z
dc.date.issued2017-02-27
dc.identifier.citationIntercomparisons of marine boundary layer cloud properties from the ARM CAP-MBL campaign and two MODIS cloud products 2017, 122 (4):2351 Journal of Geophysical Research: Atmospheresen
dc.identifier.issn2169897X
dc.identifier.doi10.1002/2016JD025763
dc.identifier.urihttp://hdl.handle.net/10150/623225
dc.description.abstractFrom April 2009 to December 2010, the Department of Energy Atmospheric Radiation Measurement (ARM) program carried out an observational field campaign on Graciosa Island, targeting the marine boundary layer (MBL) clouds over the Azores region. In this paper, we present an intercomparison of the MBL cloud properties, namely, cloud liquid water path (LWP), cloud optical thickness (COT), and cloud-droplet effective radius (CER), among retrievals from the ARM mobile facility and two Moderate Resolution Imaging Spectroradiometer (MODIS) cloud products (Goddard Space Flight Center (GSFC)-MODIS and Clouds and Earth's Radiant Energy System-MODIS). A total of 63 daytime single-layer MBL cloud cases are selected for intercomparison. Comparison of collocated retrievals indicates that the two MODIS cloud products agree well on both COT and CER retrievals, with the correlation coefficient R>0.95, despite their significant difference in spatial sampling. In both MODIS products, the CER retrievals based on the 2.1 mu m band (CER2.1) are significantly larger than those based on the 3.7 mu m band (CER3.7). The GSFC-MODIS cloud product is collocated and compared with ground-based ARM observations at several temporal-spatial scales. In general, the correlation increases with more precise collocation. For the 63 selected MBL cloud cases, the GSFC-MODIS LWP and COT retrievals agree reasonably well with the ground-based observations with no apparent bias and correlation coefficient R around 0.85 and 0.70, respectively. However, GSFC-MODIS CER3.7 and CER2.1 retrievals have a lower correlation (R similar to 0.5) with the ground-based retrievals. For the 63 selected cases, they are on average larger than ground observations by about 1.5 mu m and 3.0 mu m, respectively. Taking into account that the MODIS CER retrievals are only sensitive to cloud top reduces the bias only by 0.5 mu m.
dc.description.sponsorshipDepartment of Energy (DOE) Regional & Global Climate Modeling Program [DE-SC0014641]; U.S. National Science Foundation through the MRI program [CNS-0821258, CNS-1228778]; U.S. National Science Foundation through the SCREMS program [DMS-0821311]en
dc.language.isoenen
dc.publisherAMER GEOPHYSICAL UNIONen
dc.relation.urlhttp://doi.wiley.com/10.1002/2016JD025763en
dc.rights©2017. American Geophysical Union. All Rights Reserved.en
dc.titleIntercomparisons of marine boundary layer cloud properties from the ARM CAP-MBL campaign and two MODIS cloud productsen
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Dept Hydrol & Atmospher Scien
dc.identifier.journalJournal of Geophysical Research: Atmospheresen
dc.description.note6 month embargo; First published: 17 February 2017en
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
dc.contributor.institutionPhysics Department; UMBC; Baltimore Maryland USA
dc.contributor.institutionDepartment of Hydrology and Atmospheric Sciences; University of Arizona; Tucson Arizona USA
dc.contributor.institutionDepartment of Atmospheric Sciences; University of North Dakota; Grand Forks North Dakota USA
dc.contributor.institutionJoint Center Joint Center for Earth Systems Technology; UMBC; Baltimore Maryland USA
dc.contributor.institutionPacific Northwest National Laboratory; Richland Washington USA
dc.contributor.institutionPacific Northwest National Laboratory; Richland Washington USA
dc.contributor.institutionNASA Goddard Space Flight Center; Greenbelt Maryland USA
dc.contributor.institutionNASA Langley Research Center; Hampton Virginia USA
refterms.dateFOA2017-08-18T00:00:00Z
html.description.abstractFrom April 2009 to December 2010, the Department of Energy Atmospheric Radiation Measurement (ARM) program carried out an observational field campaign on Graciosa Island, targeting the marine boundary layer (MBL) clouds over the Azores region. In this paper, we present an intercomparison of the MBL cloud properties, namely, cloud liquid water path (LWP), cloud optical thickness (COT), and cloud-droplet effective radius (CER), among retrievals from the ARM mobile facility and two Moderate Resolution Imaging Spectroradiometer (MODIS) cloud products (Goddard Space Flight Center (GSFC)-MODIS and Clouds and Earth's Radiant Energy System-MODIS). A total of 63 daytime single-layer MBL cloud cases are selected for intercomparison. Comparison of collocated retrievals indicates that the two MODIS cloud products agree well on both COT and CER retrievals, with the correlation coefficient R>0.95, despite their significant difference in spatial sampling. In both MODIS products, the CER retrievals based on the 2.1 mu m band (CER2.1) are significantly larger than those based on the 3.7 mu m band (CER3.7). The GSFC-MODIS cloud product is collocated and compared with ground-based ARM observations at several temporal-spatial scales. In general, the correlation increases with more precise collocation. For the 63 selected MBL cloud cases, the GSFC-MODIS LWP and COT retrievals agree reasonably well with the ground-based observations with no apparent bias and correlation coefficient R around 0.85 and 0.70, respectively. However, GSFC-MODIS CER3.7 and CER2.1 retrievals have a lower correlation (R similar to 0.5) with the ground-based retrievals. For the 63 selected cases, they are on average larger than ground observations by about 1.5 mu m and 3.0 mu m, respectively. Taking into account that the MODIS CER retrievals are only sensitive to cloud top reduces the bias only by 0.5 mu m.


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