{"id":227,"date":"2023-02-16T10:10:59","date_gmt":"2023-02-16T10:10:59","guid":{"rendered":"https:\/\/hygeos.com\/?page_id=227"},"modified":"2024-11-15T09:51:45","modified_gmt":"2024-11-15T09:51:45","slug":"smart-g","status":"publish","type":"page","link":"https:\/\/hygeos.com\/en\/smart-g\/","title":{"rendered":"SMART-G"},"content":{"rendered":"
\"logo<\/span><\/div>
> Download<\/span><\/a><\/div><\/div><\/div><\/div><\/div><\/div>

SMART-G, a Monte Carlo GPU Radiative Transfer code<\/h1><\/div>

SMART-G (Speed-Up Monte Carlo Advanced Radiative Transfer code with GPU) is a radiative transfer solver. It was initially co-developed by HYGEOS for CNES to simulate the radiation received by a satellite sensor after the exact and precise propagation of sun light in the coupled atmosphere-ocean system. SMART-G1<\/sup> is now continuously upgraded by HYGEOS.<\/p>\n

Now considered like a reference, SMART-G is used for feasibility studies of future spatial missions, to verify common assumptions in operational processing chains and, above all, it is the heart of the SolaRes\u00ae service<\/a>, providing near real time and historical archives of solar resource estimate.<\/p>\n<\/div>

Contact at HYGEOS: <\/strong>Didier Ramon<\/strong><\/a><\/p>\n

(1) <\/sup>Ramon, D., F. Steinmetz, D. Jolivet, M. Compi\u00e8gne and R. Frouin, “Modeling polarized radiative transfer in the ocean-atmosphere system with the GPU-accelerated SMART-G Monte Carlo code”, Journal of Quantitative Spectroscopy and Radiative Transfer, 222\u2013223<\/span>, p89-107 (2019) https:\/\/doi.org\/10.1016\/j.jqsrt.2018.10.017<\/a><\/em><\/p>\n<\/div><\/div><\/div><\/div>

SMART-G features<\/strong><\/h2><\/div><\/div><\/div>
    \n
  • Coupled Ocean\/Atmosphere Monte Carlo Radiative Transfer solver\n
      \n
    • GPU accelerated using the CUDA framework (massively parallel processing)<\/li>\n
    • Coded in Python and PyCUDA<\/li>\n<\/ul>\n<\/li>\n
    • Physical processes\n
        \n
      • scattering (molecules, water, aerosols, clouds)<\/li>\n
      • absorption (molecules, water, aerosols) and with extended band models (K distribution, …)<\/li>\n
      • reflection\/refraction (Fresnel, atmospheric refraction)<\/li>\n
      • polarization<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/div><\/div><\/div>
          \n
        • Plane-parallel or spherical-shell atmosphere<\/li>\n
        • Surface\n
            \n
          • wind roughened sea surface<\/li>\n
          • bidirectional reflectance distribution function<\/li>\n
          • horizontal variation of surface albedo<\/li>\n<\/ul>\n<\/li>\n
          • Fast spectral computation<\/li>\n
          • 3-Dimensional characteristics\n
              \n
            • 3D optical properties of atmosphere<\/li>\n
            • 3D objects<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div>

              Applications<\/h2><\/div>

              Simulation of radiance in limb geometry with atmospheric refraction<\/h3><\/div><\/div><\/div>
              \"Vertical<\/span><\/div>
              \"RGB<\/span><\/div><\/div><\/div>

              Limb diffuse radiance for an observer at 120km altitude as a function of the tangent height for different relative azimuths to the Sun (\u0394\u03a6 = 0, 30, 60, 90\u00b0), 3 wavelengths (430, 660 and 840 nm) and 4 solar zenith angles (SZA = 60, 80, 91 and 94\u00b0). <\/em><\/p>\n

              The computation time with 105<\/sup> photons\/height\/azimuth is about 1s with a GeForce RTX3090 graphics card.<\/p>\n

              \u00a0<\/em><\/p>\n<\/div>

              RGB composite (430nm, 660nm, 840nm) of the limb radiance for a low Sun (SZA=94\u00b0) in the forward directions up to <\/em>\u0394\u03a6<\/em> = 20\u00b0. <\/em><\/p>\n<\/div><\/div><\/div>

              Simulation of topographic and 3D objects influence on radiance<\/h3><\/div><\/div><\/div>

              Radiometric calibration of in situ spectro-radiometer at the top of a mountain. The radiometer is viewing a horizontal plate<\/em> of known bidirectional reflectance with the Sun disk unobscured and masked, allowing a determination of the direct component of downwelling planar irradiance. <\/em><\/p>\n

              The SMART-G simulation is done with a proper k-distribution at the same spectral resolution as the instrument.<\/em><\/p>\n<\/div><\/div><\/div>

              \"Radiance<\/span><\/div><\/div><\/div>

              Simulation of 2D adjacency effects<\/h3><\/div><\/div><\/div>
              \"Scheme<\/span><\/div><\/div><\/div>
              \"Simulation<\/span><\/div><\/div><\/div>

              Simulation of TOA spectra of the Sentinel-3\/OLCI sensor for a black ocean pixel as a function of the distance d<\/strong> to the linear coastline separating ocean and land covered by snow and ice. The principal plane is parallel to the coastline.<\/em><\/p>\n<\/div>

              Simulation of 3D clouds<\/h3><\/div><\/div><\/div>
              \"Surface<\/span><\/div><\/div><\/div>
              \"TOA<\/span><\/div><\/div><\/div>

              Maps of surface (left) and TOA (right) reflectances at 710 nm for a cloudy scene, simulated using Large Eddy Simulation microphysical outputs and for a continental aerosol polluted atmosphere. The horizontal resolution is 66 m and there are 53 vertical layers for a total of atmospheric cell of 100x100x53. The surface is a lambertian reflector whose spectral albedo is obtained from Sentinel-2 Land Cover map.<\/em><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":{"footnotes":""},"class_list":["post-227","page","type-page","status-publish","hentry"],"yoast_head":"\nSMART-G - Hygeos<\/title>\n<meta name=\"description\" content=\"SMART-G is a radiative transfer solver, based on the Monte-Carlo technique, for the coupled land-atmosphere system including 3D objects.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/hygeos.com\/en\/smart-g\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SMART-G - Hygeos\" \/>\n<meta property=\"og:description\" content=\"SMART-G is a radiative transfer solver, based on the Monte-Carlo technique, for the coupled land-atmosphere system including 3D objects.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/hygeos.com\/en\/smart-g\/\" \/>\n<meta property=\"og:site_name\" content=\"Hygeos\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-15T09:51:45+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/hygeos.com\\\/en\\\/smart-g\\\/\",\"url\":\"https:\\\/\\\/hygeos.com\\\/en\\\/smart-g\\\/\",\"name\":\"SMART-G - Hygeos\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/hygeos.com\\\/en\\\/#website\"},\"datePublished\":\"2023-02-16T10:10:59+00:00\",\"dateModified\":\"2024-11-15T09:51:45+00:00\",\"description\":\"SMART-G is a radiative transfer solver, based on the Monte-Carlo technique, for the coupled land-atmosphere system including 3D objects.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/hygeos.com\\\/en\\\/smart-g\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/hygeos.com\\\/en\\\/smart-g\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/hygeos.com\\\/en\\\/smart-g\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/hygeos.com\\\/en\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"SMART-G\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/hygeos.com\\\/en\\\/#website\",\"url\":\"https:\\\/\\\/hygeos.com\\\/en\\\/\",\"name\":\"hygeos.com\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/hygeos.com\\\/en\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/hygeos.com\\\/en\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/hygeos.com\\\/en\\\/#organization\",\"name\":\"hygeos.com\",\"url\":\"https:\\\/\\\/hygeos.com\\\/en\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/hygeos.com\\\/en\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/hygeos.com\\\/wp-content\\\/uploads\\\/2023\\\/02\\\/logo-Hygeos-fond-blanc-e1678721624255.webp\",\"contentUrl\":\"https:\\\/\\\/hygeos.com\\\/wp-content\\\/uploads\\\/2023\\\/02\\\/logo-Hygeos-fond-blanc-e1678721624255.webp\",\"width\":200,\"height\":67,\"caption\":\"hygeos.com\"},\"image\":{\"@id\":\"https:\\\/\\\/hygeos.com\\\/en\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/fr.linkedin.com\\\/company\\\/hygeos\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"SMART-G - Hygeos","description":"SMART-G is a radiative transfer solver, based on the Monte-Carlo technique, for the coupled land-atmosphere system including 3D objects.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/hygeos.com\/en\/smart-g\/","og_locale":"en_US","og_type":"article","og_title":"SMART-G - Hygeos","og_description":"SMART-G is a radiative transfer solver, based on the Monte-Carlo technique, for the coupled land-atmosphere system including 3D objects.","og_url":"https:\/\/hygeos.com\/en\/smart-g\/","og_site_name":"Hygeos","article_modified_time":"2024-11-15T09:51:45+00:00","twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/hygeos.com\/en\/smart-g\/","url":"https:\/\/hygeos.com\/en\/smart-g\/","name":"SMART-G - Hygeos","isPartOf":{"@id":"https:\/\/hygeos.com\/en\/#website"},"datePublished":"2023-02-16T10:10:59+00:00","dateModified":"2024-11-15T09:51:45+00:00","description":"SMART-G is a radiative transfer solver, based on the Monte-Carlo technique, for the coupled land-atmosphere system including 3D objects.","breadcrumb":{"@id":"https:\/\/hygeos.com\/en\/smart-g\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/hygeos.com\/en\/smart-g\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/hygeos.com\/en\/smart-g\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/hygeos.com\/en\/"},{"@type":"ListItem","position":2,"name":"SMART-G"}]},{"@type":"WebSite","@id":"https:\/\/hygeos.com\/en\/#website","url":"https:\/\/hygeos.com\/en\/","name":"hygeos.com","description":"","publisher":{"@id":"https:\/\/hygeos.com\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/hygeos.com\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/hygeos.com\/en\/#organization","name":"hygeos.com","url":"https:\/\/hygeos.com\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/hygeos.com\/en\/#\/schema\/logo\/image\/","url":"https:\/\/hygeos.com\/wp-content\/uploads\/2023\/02\/logo-Hygeos-fond-blanc-e1678721624255.webp","contentUrl":"https:\/\/hygeos.com\/wp-content\/uploads\/2023\/02\/logo-Hygeos-fond-blanc-e1678721624255.webp","width":200,"height":67,"caption":"hygeos.com"},"image":{"@id":"https:\/\/hygeos.com\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/fr.linkedin.com\/company\/hygeos"]}]}},"_links":{"self":[{"href":"https:\/\/hygeos.com\/en\/wp-json\/wp\/v2\/pages\/227","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hygeos.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/hygeos.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/hygeos.com\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/hygeos.com\/en\/wp-json\/wp\/v2\/comments?post=227"}],"version-history":[{"count":71,"href":"https:\/\/hygeos.com\/en\/wp-json\/wp\/v2\/pages\/227\/revisions"}],"predecessor-version":[{"id":4499,"href":"https:\/\/hygeos.com\/en\/wp-json\/wp\/v2\/pages\/227\/revisions\/4499"}],"wp:attachment":[{"href":"https:\/\/hygeos.com\/en\/wp-json\/wp\/v2\/media?parent=227"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}