Articles | Volume 13, issue 9
Atmos. Meas. Tech., 13, 4947–4961, 2020
https://doi.org/10.5194/amt-13-4947-2020
Atmos. Meas. Tech., 13, 4947–4961, 2020
https://doi.org/10.5194/amt-13-4947-2020

Research article 18 Sep 2020

Research article | 18 Sep 2020

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

Mark Richardson et al.

Data sets

scikit-learn/scikit-learn: scikit-learn 0.23.2 Olivier Grisel, Andreas Mueller, Lars, Alexandre Gramfort, Gilles Louppe, Peter Prettenhofer, Mathieu Blondel, Vlad Niculae, Joel Nothman, Arnaud Joly, Jake Vanderplas, manoj kumar, Thomas J. Fan, Hanmin Qin, Nelle Varoquaux, Loïc Estève, Robert Layton, Nicolas Hug, Jan Hendrik Metzen, Noel Dawe, Guillaume Lemaitre, Adrin Jalali, (Venkat) Raghav, Rajagopalan, Johannes Schönberger, Roman Yurchak, Wei Li, Clay Woolam, Kemal Eren, Tom Dupré la Tour, Eustache https://doi.org/10.5281/zenodo.3971965

Reusable Framework for Retrieval of Atmospheric Composition (ReFRACtor) (Version 1.09) James McDuffie, Kevin Bowman, Jonathan Hobbs, Vijay Natraj, Edwin Sarkissian, Mike Smyth, Matthew Thill, and Sebastian Val https://doi.org/10.5281/zenodo.4019567

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Short summary
We previously combined CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) lidar data and reflected-sunlight measurements from OCO-2 (Orbiting Carbon Observatory 2) for information about low clouds over oceans. The satellites are no longer formation-flying, so this work is a step towards getting new information about these clouds using only OCO-2. We can rapidly and accurately identify liquid oceanic clouds and obtain their height better than a widely used passive sensor.