A new Orbiting Carbon Observatory 2 cloud flagging method and rapid retrieval of marine boundary layer cloud properties

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Abstract

The Orbiting Carbon Observatory 2 (OCO-2) carries a hyperspectral A-band sensor that can obtain information about cloud geometric thickness (H). The OCO2CLDLIDAR-AUX product retrieved H with the aid of collocated CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) lidar data to identify suitable clouds and provide a priori cloud top pressure (Ptop). This collocation is no longer possible, since CALIPSO's coordination flying with OCO-2 has ended, so here we introduce a new cloud flagging and a priori assignment using only OCO-2 data, restricted to ocean footprints where solar zenith angle < 45°. Firstly, a multi-layer perceptron network was trained to identify liquid clouds over the ocean with sufficient optical depth (t > 1) for a valid retrieval, and agreement with MODIS CALIPSO (Moderate Resolution Imaging Spectroradiometer) is 90.0 %. Secondly, we developed a lookup table to simultaneously retrieve cloud t, effective radius (re) and Ptop from A-band and CO2 band radiances, with the intention that these will act as the a priori state estimate in a future retrieval. Median Ptop difference vs. CALIPSO is 12 hPa with an inter-decile range of T-11;87UhPa, substantially better than the MODIS CALIPSO range of T-83;81UhPa. The MODIS OCO-2 τ difference is 0.8[-3.8;6.9U, and re is -0.3[-2.8;2.1Uμm. The t difference is due to optically thick and horizontally heterogeneous cloud scenes. As well as an improved passive Ptop retrieval, this a priori information will allow for a purely OCO-2-based Bayesian retrieval of cloud droplet number concentration (Nd). Finally, our cloud flagging procedure may also be useful for future partial-column above-cloud CO2 abundance retrievals.

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APA

Richardson, M., Lebsock, M. D., McDuffie, J., & Stephens, G. L. (2020). A new Orbiting Carbon Observatory 2 cloud flagging method and rapid retrieval of marine boundary layer cloud properties. Atmospheric Measurement Techniques, 13(9), 4947–4961. https://doi.org/10.5194/amt-13-4947-2020

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