Ocean color through satellite lidars: the COLOR project
- 1Consiglio Nazionale della Ricerca, Institute of Marine Sciences (ISMAR), Rome, Italy
- 2Serco Italia S.p.A., Frascati, Italy
- 3AEQUORA, Lisbon, Portugal
- 4School of Engineering, University of Basilicata, Potenza, Italy
During the last decade, new applications exploiting data from satellite borne lidar measurements demonstrated that these sensors can give valuable information about ocean optical properties [1,2,3]. Within this framework, COLOR (CDOM-proxy retrieval from aeOLus ObseRvations) consisted in a 18-month feasibility study approved by ESA within the Aeolus+ Innovation program. COLOR had the objective to evaluate and document the feasibility of deriving an in-water prototype product from the analysis of the signal acquired by the ESA Earth Explorer Wind Mission ADM-Aeolus (Atmospheric Dynamics Mission). In particular, COLOR project focused on the AEOLUS potential retrieval of the diffuse attenuation coefficient for downwelling irradiance (Kd [m-1]) from the ocean sub-surface backscattered component of the 355 nm received lidar signal.
The core activity of the project was the characterization of the signal from the AEOLUS ground bin through two parallel and strongly interacting activities: a) Radiative transfer numerical modelling; b) AEOLUS data analysis. The main result of the project will be presented together with the discussion of the perspectives of the satellite lidar missions dedicated to ocean color.
[1] M. J. Behrenfeld et al. (2019). Global satellite-observed daily vertical migrations of ocean animals», Nature, vol. 576, n. 7786, Art. n. 7786, dic. 2019, doi: 10.1038/s41586-019-1796-9.
[2] Jamet, C., Ibrahim, A., Ahmad, Z., Angelini, F., Babin, M., Behrenfeld, M. J., et al. (2019). Going beyond standard ocean color observations: lidar and polarimetry. Front. Mar. Sci. 6:251. doi: 10.3389/fmars.2019.00251
[3] D. Dionisi, V. E. Brando, G. Volpe, S. Colella, e R. Santoleri (2020). Seasonal distributions of ocean particulate optical properties from spaceborne lidar measurements in Mediterranean and Black sea», Remote Sens. Environ., vol. 247, pag. 111889, set. 2020, doi: 10.1016/j.rse.2020.111889.
How to cite: Dionisi, D., Bucci, S., Cesarini, C., Colella, S., D'Alimonte, D., Di Ciolo, L., Di Girolamo, P., Di Paolantonio, M., Franco, N., Gostinicchi, G., Kajiyama, T., Liberti, G. L., Organelli, E., and Santoleri, R.: Ocean color through satellite lidars: the COLOR project, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-16196, https://doi.org/10.5194/egusphere-egu23-16196, 2023.