Articles | Volume 12, issue 3
https://doi.org/10.5194/amt-12-1717-2019
© Author(s) 2019. 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-12-1717-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Mar 2019
Research article |
| 18 Mar 2019
| 18 Mar 2019
Marine liquid cloud geometric thickness retrieved from OCO-2's oxygen A-band spectrometer
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91125, USA
Joint Institute for Regional Earth System
Science and Engineering, University of California Los Angeles, Los Angeles,
CA 90095, USA
Jussi Leinonen
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91125, USA
Heather Q. Cronk
Cooperative Institute for Research in the
Atmosphere, Colorado State University, Fort Collins, CO 80521, USA
James McDuffie
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91125, USA
Matthew D. Lebsock
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91125, USA
Graeme L. Stephens
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91125, USA
Department of Meteorology, University of Reading, Reading, RG6 6BB,
UK
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Cited
16 citations as recorded by crossref.
- Thermometry and velocimetry in a ramjet using dual comb spectroscopy of the O2 A-band D. Yun et al. 10.1364/OE.507647
- The OCO-3 mission: measurement objectives and expected performance based on 1 year of simulated data A. Eldering et al. 10.5194/amt-12-2341-2019
- Physical Parameterization of Hyperspectral Reflectance in the Oxygen A-Band for Single-Layer Water Clouds J. Yang et al. 10.3390/rs12142252
- Cloud Phase Recognition Based on Oxygen A Band and CO2 1.6 µm Band Q. Li et al. 10.3390/rs13091681
- Cloud detection over snow and ice with oxygen A- and B-band observations from the Earth Polychromatic Imaging Camera (EPIC) Y. Zhou et al. 10.5194/amt-13-1575-2020
- EPIC/DSCOVR as a Pathfinder in Cloud Remote Sensing Using Differential Oxygen Absorption Spectroscopy A. Davis et al. 10.3389/frsen.2022.796273
- Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. 10.5194/acp-20-15079-2020
- The CHROMA cloud-top pressure retrieval algorithm for the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite mission A. Sayer et al. 10.5194/amt-16-969-2023
- A fast cloud geometrical thickness retrieval algorithm for single-layer marine liquid clouds using OCO-2 oxygen A-band measurements J. Yang et al. 10.1016/j.rse.2021.112305
- The Spectral Nature of Earth’s Reflected Radiation: Measurement and Science Applications G. Stephens et al. 10.3389/frsen.2021.664291
- Retrieving global single-layer liquid cloud thickness from OCO-2 hyperspectral oxygen A-band S. Li & J. Yang 10.1016/j.rse.2024.114272
- Radiative Transfer Speed-Up Combining Optimal Spectral Sampling With a Machine Learning Approach S. Mauceri et al. 10.3389/frsen.2022.932548
- A Framework for Satellite-Based 3D Cloud Data: An Overview of the VIIRS Cloud Base Height Retrieval and User Engagement for Aviation Applications Y. Noh et al. 10.3390/rs14215524
- Cloud parameter retrieval for Environmental trace gases Monitoring Instrument (EMI) using the O2-O2 absorption band T. Yang et al. 10.1016/j.atmosres.2022.106597
- A Machine Learning-Based Multiple Cloud Vertical Structure Parameter Prediction Algorithm Only Using OCO-2 Oxygen A-Band Measurements Y. Lei et al. 10.3390/rs15123142
- A new Orbiting Carbon Observatory 2 cloud flagging method and rapid retrieval of marine boundary layer cloud properties M. Richardson et al. 10.5194/amt-13-4947-2020
16 citations as recorded by crossref.
- Thermometry and velocimetry in a ramjet using dual comb spectroscopy of the O2 A-band D. Yun et al. 10.1364/OE.507647
- The OCO-3 mission: measurement objectives and expected performance based on 1 year of simulated data A. Eldering et al. 10.5194/amt-12-2341-2019
- Physical Parameterization of Hyperspectral Reflectance in the Oxygen A-Band for Single-Layer Water Clouds J. Yang et al. 10.3390/rs12142252
- Cloud Phase Recognition Based on Oxygen A Band and CO2 1.6 µm Band Q. Li et al. 10.3390/rs13091681
- Cloud detection over snow and ice with oxygen A- and B-band observations from the Earth Polychromatic Imaging Camera (EPIC) Y. Zhou et al. 10.5194/amt-13-1575-2020
- EPIC/DSCOVR as a Pathfinder in Cloud Remote Sensing Using Differential Oxygen Absorption Spectroscopy A. Davis et al. 10.3389/frsen.2022.796273
- Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. 10.5194/acp-20-15079-2020
- The CHROMA cloud-top pressure retrieval algorithm for the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite mission A. Sayer et al. 10.5194/amt-16-969-2023
- A fast cloud geometrical thickness retrieval algorithm for single-layer marine liquid clouds using OCO-2 oxygen A-band measurements J. Yang et al. 10.1016/j.rse.2021.112305
- The Spectral Nature of Earth’s Reflected Radiation: Measurement and Science Applications G. Stephens et al. 10.3389/frsen.2021.664291
- Retrieving global single-layer liquid cloud thickness from OCO-2 hyperspectral oxygen A-band S. Li & J. Yang 10.1016/j.rse.2024.114272
- Radiative Transfer Speed-Up Combining Optimal Spectral Sampling With a Machine Learning Approach S. Mauceri et al. 10.3389/frsen.2022.932548
- A Framework for Satellite-Based 3D Cloud Data: An Overview of the VIIRS Cloud Base Height Retrieval and User Engagement for Aviation Applications Y. Noh et al. 10.3390/rs14215524
- Cloud parameter retrieval for Environmental trace gases Monitoring Instrument (EMI) using the O2-O2 absorption band T. Yang et al. 10.1016/j.atmosres.2022.106597
- A Machine Learning-Based Multiple Cloud Vertical Structure Parameter Prediction Algorithm Only Using OCO-2 Oxygen A-Band Measurements Y. Lei et al. 10.3390/rs15123142
- A new Orbiting Carbon Observatory 2 cloud flagging method and rapid retrieval of marine boundary layer cloud properties M. Richardson et al. 10.5194/amt-13-4947-2020
Latest update: 01 Nov 2024
Short summary
We retrieve cloud properties, including geometric thickness, by combining hyperspectral Orbiting Carbon Observatory-2 (OCO-2) A-band measurements with CALIPSO lidar. This uses cloudy scene data that are not used in OCO-2's main mission, which is aimed at clear-sky atmospheric CO2 abundance. This is the first retrieval using such hyperspectral information and promises to provide a unique constraint on the properties of low liquid clouds over the ocean.
We retrieve cloud properties, including geometric thickness, by combining hyperspectral Orbiting...
