Intercomparisons of marine boundary layer cloud properties from the ARM CAP-MBL campaign and two MODIS cloud products
dc.contributor.author | Zhang, Zhibo | |
dc.contributor.author | Dong, Xiquan | |
dc.contributor.author | Xi, Baike | |
dc.contributor.author | Song, Hua | |
dc.contributor.author | Ma, Po-Lun | |
dc.contributor.author | Ghan, Steven J. | |
dc.contributor.author | Platnick, Steven | |
dc.contributor.author | Minnis, Patrick | |
dc.date.accessioned | 2017-04-24T17:23:00Z | |
dc.date.available | 2017-04-24T17:23:00Z | |
dc.date.issued | 2017-02-27 | |
dc.identifier.citation | Intercomparisons 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: Atmospheres | en |
dc.identifier.issn | 2169897X | |
dc.identifier.doi | 10.1002/2016JD025763 | |
dc.identifier.uri | http://hdl.handle.net/10150/623225 | |
dc.description.abstract | From 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.sponsorship | Department 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.iso | en | en |
dc.publisher | AMER GEOPHYSICAL UNION | en |
dc.relation.url | http://doi.wiley.com/10.1002/2016JD025763 | en |
dc.rights | ©2017. American Geophysical Union. All Rights Reserved. | en |
dc.title | Intercomparisons of marine boundary layer cloud properties from the ARM CAP-MBL campaign and two MODIS cloud products | en |
dc.type | Article | en |
dc.contributor.department | Univ Arizona, Dept Hydrol & Atmospher Sci | en |
dc.identifier.journal | Journal of Geophysical Research: Atmospheres | en |
dc.description.note | 6 month embargo; First published: 17 February 2017 | en |
dc.description.collectioninformation | This 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.version | Final published version | en |
dc.contributor.institution | Physics Department; UMBC; Baltimore Maryland USA | |
dc.contributor.institution | Department of Hydrology and Atmospheric Sciences; University of Arizona; Tucson Arizona USA | |
dc.contributor.institution | Department of Atmospheric Sciences; University of North Dakota; Grand Forks North Dakota USA | |
dc.contributor.institution | Joint Center Joint Center for Earth Systems Technology; UMBC; Baltimore Maryland USA | |
dc.contributor.institution | Pacific Northwest National Laboratory; Richland Washington USA | |
dc.contributor.institution | Pacific Northwest National Laboratory; Richland Washington USA | |
dc.contributor.institution | NASA Goddard Space Flight Center; Greenbelt Maryland USA | |
dc.contributor.institution | NASA Langley Research Center; Hampton Virginia USA | |
refterms.dateFOA | 2017-08-18T00:00:00Z | |
html.description.abstract | From 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. |