Articles | Volume 14, issue 4
https://doi.org/10.5194/amt-14-2827-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-2827-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Apr 2021
Research article |
| 12 Apr 2021
| 12 Apr 2021
Spectroscopic imaging of sub-kilometer spatial structure in lower-tropospheric water vapor
David R. Thompson
CORRESPONDING AUTHOR
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91103, USA
Brian H. Kahn
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91103, USA
Philip G. Brodrick
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91103, USA
Matthew D. Lebsock
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91103, USA
Mark Richardson
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91103, USA
Department of Atmospheric Science, Colorado State University, Fort Collins, CO 90095, USA
Robert O. Green
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91103, USA
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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.
Cited articles
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Short summary
Concentrations of water vapor in the atmosphere vary dramatically over space and time. Mapping this variability can provide insights into atmospheric processes that help us understand atmospheric processes in the Earth system. Here we use a new measurement strategy based on imaging spectroscopy to map atmospheric water vapor concentrations at very small spatial scales. Experiments demonstrate the accuracy of this technique and some initial results from an airborne remote sensing experiment.
Concentrations of water vapor in the atmosphere vary dramatically over space and time. Mapping...
