{"id":455,"date":"2023-12-20T12:50:34","date_gmt":"2023-12-20T12:50:34","guid":{"rendered":"https:\/\/garslab.com\/?p=455"},"modified":"2023-12-27T03:44:35","modified_gmt":"2023-12-27T03:44:35","slug":"global-gridded-aerosol-models","status":"publish","type":"post","link":"https:\/\/garslab.com\/?p=455","title":{"rendered":"Global gridded aerosol models for atmospheric correction"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><strong>Basic descriptions<\/strong><\/h2>\n\n\n\n<p>The global gridded aerosol models constitute a comprehensive dataset integrating aerosol models on a spatial grid (5\u00b0 \u00d7 5\u00b0) at a climatological monthly scale, encompassing a total of 3,207 new aerosol models. These models cover 310 grid cells across global inland and coastal regions, aiming to enhance the precision of atmospheric corrections for inland and nearshore waters. The gridded aerosol models are derived from data collected at 1,475 Aerosol Robotic Network (AERONET) sites distributed in inland and coastal regions. The adoption of gridded aerosol models could significantly boosting the accuracies of atmospheric corrections in inland and coastal waters, representing a notable advancement compared to the occasion of using standard aerosol models.<\/p>\n\n\n\n<p>Presently, the aerosol model provides tailored Aerosol Look-Up Tables (LUTs) designed for MODIS Aqua platform applications. These LUTs enable users to directly access aerosol properties at a climatological monthly scale for specific regions, including extinction coefficient, phase functions, single scattering albedo, and \u00c5ngstr\u00f6m exponent. Furthermore, the LUTs offer coefficients defining the relationships between aerosol single (\u03c1<sub>as<\/sub>) and multiple (\u03c1<sub>a<\/sub>) scattering reflectance, along with coefficients for calculating diffuse transmittance in atmospheric correction calculations. The aerosol&nbsp;LUTs could be integrated into the SeaDAS software to facilitate the launching of atmospheric correction processing for inland and coastal regions.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"518\" src=\"http:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/2-1-1024x518.jpg\" alt=\"\" class=\"wp-image-829\" style=\"width:841px;height:auto\" srcset=\"https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/2-1-1024x518.jpg 1024w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/2-1-300x152.jpg 300w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/2-1-150x76.jpg 150w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/2-1-768x389.jpg 768w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/2-1-1536x777.jpg 1536w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/2-1.jpg 1792w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>Aerosol LUTs dataset information<\/strong><strong><\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>D<\/strong><strong>ataset<\/strong><strong><\/strong><\/td><td><strong>Description<\/strong><strong><\/strong><\/td><\/tr><tr><td>wave<\/td><td>wavelengths<\/td><\/tr><tr><td>scatt<\/td><td>scattering angles<\/td><\/tr><tr><td>solz<\/td><td>solar zenith angles<\/td><\/tr><tr><td>senz<\/td><td>sensor view zenith angles<\/td><\/tr><tr><td>phi<\/td><td>relative azimuth angles<\/td><\/tr><tr><td>albedo<\/td><td>single scattering albedo<\/td><\/tr><tr><td>extc<\/td><td>extinction coefficient<\/td><\/tr><tr><td>angstrom<\/td><td>\u00c5ngstr\u00f6m coefficient<\/td><\/tr><tr><td>phase<\/td><td>scattering phase&nbsp;function<\/td><\/tr><tr><td>acost bcost ccost<\/td><td>quadratic coefficient of SS to MS function<\/td><\/tr><tr><td>dtran_wave<\/td><td>wavelengths of diffuse transmittance coefficient<\/td><\/tr><tr><td>dtran_theta<\/td><td>zenith angles of diffuse transmittance coefficient<\/td><\/tr><tr><td>dtran_a dtran_b<\/td><td>coefficient of diffuse sensor transmittance<\/td><\/tr><tr><td>dtran_a0 dtran_b0<\/td><td>coefficient of diffuse solar&nbsp;transmittance<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Data download<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-8cf370e7 wp-block-group-is-layout-flex\">\n<p>The aerosol LUTs for MODIS Aqua are available at Figshare platform:<\/p>\n\n\n\n<p><a href=\"https:\/\/doi.org\/10.6084\/m9.figshare.22126553\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.6084\/m9.figshare.22126553<\/a><\/p>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Related Publications<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-8cf370e7 wp-block-group-is-layout-flex\">\n<p>Zhao, D., Feng, L.*, &amp; He, X. (2023). Global gridded aerosol models established for atmospheric correction over inland and nearshore coastal waters. Journal of Geophysical Research: Atmospheres, 128, e2023JD038815. <\/p>\n\n\n\n<p><a href=\"https:\/\/doi.org\/10.1029\/2023JD038815\" target=\"_blank\" rel=\"noreferrer noopener\"><u>https:\/\/doi.org\/10.1029\/2023JD038815<\/u><\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Basic descriptions The global gridded aerosol models constitute a comprehensive dataset integrating aerosol models on a spatial grid (5\u00b0 \u00d7 5\u00b0) at a climatological monthly scale, encompassing a total of 3,207 new aerosol models. These models cover 310 grid cells across global inland and coastal regions, aiming to enhance the precision of atmospheric corrections for<\/p>\n","protected":false},"author":2,"featured_media":456,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[18,1],"tags":[],"class_list":["post-455","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aerosol-models","category-data"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Global gridded aerosol models for atmospheric correction - Global Aqua Remote Sensing (GARS) laboratory<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/garslab.com\/?p=455\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Global gridded aerosol models for atmospheric correction - Global Aqua Remote Sensing (GARS) laboratory\" \/>\n<meta property=\"og:description\" content=\"Basic descriptions The global gridded aerosol models constitute a comprehensive dataset integrating aerosol models on a spatial grid (5\u00b0 \u00d7 5\u00b0) at a climatological monthly scale, encompassing a total of 3,207 new aerosol models. 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