COLOR: CDOM-proxy retrieval from aeOLus ObseRvations
Authors: Dionisi Davide , Liberti Gian Luigi , Organelli Emanuele , Colella Simone , Di Paolantonio Marco , Cesarini Claudia , Santoleri Rosalia , D'Alimonte Davide , Kajiyama Tamito , Di Girolamo Paolo , Franco Noemi , Di Erasmo Daniele 
Published: March 2021

&lt;p&gt;The ESA Earth Explorer Wind Mission ADM-Aeolus (Atmospheric Dynamics Mission), successfully launched on 22 August 2018, has the aim to provide global observations of wind profiles, demonstrating the impact of wind profile data on operational weather forecasting and on climate research. Within the Aeolus+ Innovation program, ESA has launched an Invitation To Tender (ITT, ESA AO/1-9544/20/I/NS) to carry out studies aimed at exploring, developing and validating innovative products and applications and exploiting the novel nature of Aeolus data.&lt;/p&gt;&lt;p&gt;Lidar technique has been extensively employed in oceanography, mainly through shipborne and aircraft lidars [1],[2]. Recently, new applications using CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) instrument on-board CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) demonstrated that satellite-borne lidar can give valuable information about ocean optical properties [3],[4].&lt;/p&gt;&lt;p&gt;Although Aeolus&amp;#8217;s mission primary objectives and subsequent instrumental and sampling characteristics are not ideal for monitoring ocean sub-surface properties, the unprecedented type of measurements from this mission are expected to contain important and original information in terms of optical properties of the sensed ocean volume. Being the first HSRL (High Spectral Resolution Lidar) launched in space, ALADIN (Atmospheric LAser Doppler Instrument) of ADM-Aeolus gives an unprecedented new opportunity to investigate the information content of the 355 nm signal backscattered by the ocean sub-surface components.&lt;/p&gt;&lt;p&gt;Based on the above considerations, COLOR (CDOM-proxy retrieval from aeOLus ObseRvations), a selected Aeolus+ Innovation ITT project, aims to evaluate and document the feasibility of deriving an in-water AEOLUS prototype product from the analysis of the ocean sub-surface backscattered component of the 355 nm signal acquired by the ALADIN. The project focuses on the potential retrieval of the ocean optical properties at 355 nm: diffuse attenuation coefficient for downwelling irradiance, K&lt;sub&gt;d&lt;/sub&gt; [m-1], and sub-surface hemispheric particulate backscatter coefficient, b&lt;sub&gt;bp&lt;/sub&gt; [m-1]. In particular, being dominated by the absorption due to CDOM (Chromophoric Dissolved Organic Matter), K&lt;sub&gt;d&lt;/sub&gt; coefficient at 355 nm, K&lt;sub&gt;d&lt;/sub&gt;(355), can be used as a proxy to describe spatial and temporal variability of this variable, which contributes to regulating the Earth&amp;#8217;s climate. An overview of the project and some preliminary results are presented.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;[1]&amp;#160; B. L. Collister, R. C. Zimmerman, C. I. Sukenik, V. J. Hill, e W. M. Balch, &amp;#171;Remote sensing of optical characteristics and particle distributions of the upper ocean using shipboard lidar&amp;#187;, Remote Sens. Environ., vol. 215, pagg. 85&amp;#8211;96, set. 2018, doi: 10.1016/j.rse.2018.05.032.&lt;/p&gt;&lt;p&gt;[2]&amp;#160; J. H. Churnside, J. W. Hair, C. A. Hostetler, e A. J. Scarino, &amp;#171;Ocean Backscatter Profiling Using High-Spectral-Resolution Lidar and a Perturbation Retrieval&amp;#187;, Remote Sens., vol. 10, n. 12, Art. n. 12, dic. 2018, doi: 10.3390/rs10122003.&lt;/p&gt;&lt;p&gt;[3]&amp;#160; M. J. Behrenfeld et al., &amp;#171;Global satellite-observed daily vertical migrations of ocean animals&amp;#187;, Nature, vol. 576, n. 7786, Art. n. 7786, dic. 2019, doi: 10.1038/s41586-019-1796-9.&lt;/p&gt;&lt;p&gt;[4]&amp;#160; D. Dionisi, V. E. Brando, G. Volpe, S. Colella, e R. Santoleri, &amp;#171;Seasonal distributions of ocean particulate optical properties from spaceborne lidar measurements in Mediterranean and Black sea&amp;#187;, Remote Sens. Environ., vol. 247, pag. 111889, set. 2020, doi: 10.1016/j.rse.2020.111889.&lt;/p&gt;