{"id":608299,"date":"2019-04-15T07:35:49","date_gmt":"2019-04-15T11:35:49","guid":{"rendered":"https:\/\/ntrs.nasa.gov\/search.jsp?R=20190002371"},"modified":"2019-04-15T07:35:49","modified_gmt":"2019-04-15T11:35:49","slug":"retrieval-of-liquid-water-cloud-properties-from-polder-3-measurements-using-a-neural-network-ensemble-approach","status":"publish","type":"post","link":"https:\/\/spaceweekly.com\/?p=608299","title":{"rendered":"Retrieval of Liquid Water Cloud Properties from POLDER-3 Measurements Using a Neural Network Ensemble Approach"},"content":{"rendered":"<p>Abstract: This paper describes a neural network algorithm for the estimation of liquid water cloud optical properties from the Polarization and Directionality of Earth&#8217;s Reflectances-3 (POLDER-3) instrument aboard the Polarization &#038; Anisotropy of Reflectances for Atmospheric Sciences coupled with Observations from a Lidar (PARASOL) satellite. The algorithm has been trained on synthetic multi-angle, multi-wavelength measurements of reflectance and polarization and has been applied to the processing of 1&#8230;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Abstract: This paper describes a neural network algorithm for the estimation of liquid water cloud optical properties from the Polarization and Directionality of Earth&#8217;s Reflectances-3 (POLDER-3) instrument aboard the Polarization &amp; Anisotropy of Reflectances for Atmospheric Sciences coupled with Observations from a Lidar (PARASOL) satellite. The algorithm has been trained on synthetic multi-angle, multi-wavelength measurements of reflectance and polarization and has been applied to the processing of 1&#8230;<\/p>\n","protected":false},"author":60,"featured_media":615444,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-608299","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts\/608299","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/users\/60"}],"replies":[{"embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=608299"}],"version-history":[{"count":2,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts\/608299\/revisions"}],"predecessor-version":[{"id":609272,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts\/608299\/revisions\/609272"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/media\/615444"}],"wp:attachment":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=608299"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=608299"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=608299"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}