scikit-learn/scikit-learn: scikit-learn 0.23.2Olivier 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
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.
We previously combined CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite...