Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-2183-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-2183-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
14 Sep 2020
Data description paper |
| 14 Sep 2020
| 14 Sep 2020
The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign
Kirk Knobelspiesse
CORRESPONDING AUTHOR
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Henrique M. J. Barbosa
Instituto de Física, Universidade de Sāo Paulo, Sāo Paulo, Brazil
NASA Headquarters, Washington, D.C., USA
Christine Bradley
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Carol Bruegge
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Brian Cairns
NASA Goddard Institute for Space Studies, New York, NY, USA
Gao Chen
NASA Langley Research Center, Hampton, VA, USA
Jacek Chowdhary
NASA Goddard Institute for Space Studies, New York, NY, USA
Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY, USA
Anthony Cook
NASA Langley Research Center, Hampton, VA, USA
Antonio Di Noia
Department of Physics and Astronomy, University of Leicester, Leicestershire, UK
Bastiaan van Diedenhoven
NASA Goddard Institute for Space Studies, New York, NY, USA
Earth Institute, Columbia University, New York, NY, USA
David J. Diner
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Richard Ferrare
NASA Langley Research Center, Hampton, VA, USA
Guangliang Fu
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Greenbelt, MD, USA
Michael Garay
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Johnathan Hair
NASA Langley Research Center, Hampton, VA, USA
David Harper
NASA Langley Research Center, Hampton, VA, USA
Gerard van Harten
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Otto Hasekamp
Department of Physics and Astronomy, University of Leicester, Leicestershire, UK
Mark Helmlinger
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Chris Hostetler
NASA Langley Research Center, Hampton, VA, USA
Olga Kalashnikova
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Andrew Kupchock
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Greenbelt, MD, USA
Karla Longo De Freitas
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Universities Space Research Association, Columbia, MD, USA
Hal Maring
NASA Headquarters, Washington, D.C., USA
J. Vanderlei Martins
Department of Physics, University of Maryland, Baltimore County, Baltimore, MD, USA
Brent McBride
Department of Physics, University of Maryland, Baltimore County, Baltimore, MD, USA
Matthew McGill
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Ken Norlin
NASA Armstrong Flight Research Center, Edwards, CA, USA
Anin Puthukkudy
Department of Physics, University of Maryland, Baltimore County, Baltimore, MD, USA
Brian Rheingans
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Jeroen Rietjens
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
Felix C. Seidel
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
NASA Headquarters, Washington, D.C., USA
Arlindo da Silva
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Martijn Smit
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
Snorre Stamnes
NASA Langley Research Center, Hampton, VA, USA
Qian Tan
NASA Ames Research Center, Moffett Field, CA, USA
Sebastian Val
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Andrzej Wasilewski
NASA Goddard Institute for Space Studies, New York, NY, USA
Feng Xu
School of Meteorology, University of Oklahoma, Norman, OK, USA
Xiaoguang Xu
Department of Physics, University of Maryland, Baltimore County, Baltimore, MD, USA
John Yorks
NASA Goddard Space Flight Center, Greenbelt, MD, USA
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Cited
12 citations as recorded by crossref.
- The impact and estimation of uncertainty correlation for multi-angle polarimetric remote sensing of aerosols and ocean color M. Gao et al. 10.5194/amt-16-2067-2023
- Retrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017 A. Puthukkudy et al. 10.5194/amt-13-5207-2020
- Monitoring of PM2.5 Concentrations by Learning from Multi-Weather Sensors Y. Wang & Z. Xu 10.3390/s20216086
- Atmospheric correction over the ocean for hyperspectral radiometers using multi-angle polarimetric retrievals N. Hannadige et al. 10.1364/OE.408467
- Optical properties of morphologically complex black carbon aerosols: Effects of coatings L. Liu et al. 10.1016/j.jqsrt.2022.108080
- Pre-launch calibration and validation of the Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) instrument B. McBride et al. 10.5194/amt-17-5709-2024
- Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring C. Chen et al. 10.5194/essd-12-3573-2020
- Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean M. Gao et al. 10.5194/amt-15-4859-2022
- Performance evaluation of three bio-optical models in aerosol and ocean color joint retrievals N. Hannadige et al. 10.5194/amt-16-5749-2023
- Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model M. Gao et al. 10.5194/amt-14-4083-2021
- Inversion of multiangular polarimetric measurements from the ACEPOL campaign: an application of improving aerosol property and hyperspectral ocean color retrievals M. Gao et al. 10.5194/amt-13-3939-2020
- Adaptive Data Screening for Multi-Angle Polarimetric Aerosol and Ocean Color Remote Sensing Accelerated by Deep Learning M. Gao et al. 10.3389/frsen.2021.757832
10 citations as recorded by crossref.
- The impact and estimation of uncertainty correlation for multi-angle polarimetric remote sensing of aerosols and ocean color M. Gao et al. 10.5194/amt-16-2067-2023
- Retrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017 A. Puthukkudy et al. 10.5194/amt-13-5207-2020
- Monitoring of PM2.5 Concentrations by Learning from Multi-Weather Sensors Y. Wang & Z. Xu 10.3390/s20216086
- Atmospheric correction over the ocean for hyperspectral radiometers using multi-angle polarimetric retrievals N. Hannadige et al. 10.1364/OE.408467
- Optical properties of morphologically complex black carbon aerosols: Effects of coatings L. Liu et al. 10.1016/j.jqsrt.2022.108080
- Pre-launch calibration and validation of the Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) instrument B. McBride et al. 10.5194/amt-17-5709-2024
- Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring C. Chen et al. 10.5194/essd-12-3573-2020
- Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean M. Gao et al. 10.5194/amt-15-4859-2022
- Performance evaluation of three bio-optical models in aerosol and ocean color joint retrievals N. Hannadige et al. 10.5194/amt-16-5749-2023
- Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model M. Gao et al. 10.5194/amt-14-4083-2021
2 citations as recorded by crossref.
- Inversion of multiangular polarimetric measurements from the ACEPOL campaign: an application of improving aerosol property and hyperspectral ocean color retrievals M. Gao et al. 10.5194/amt-13-3939-2020
- Adaptive Data Screening for Multi-Angle Polarimetric Aerosol and Ocean Color Remote Sensing Accelerated by Deep Learning M. Gao et al. 10.3389/frsen.2021.757832
Latest update: 25 Dec 2024
Short summary
The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) field campaign is a resource for the next generation of spaceborne multi-angle polarimeter (MAP) and lidar missions. Conducted in the fall of 2017 from the Armstrong Flight Research Center in Palmdale, California, four MAP instruments and two lidars were flown on the high-altitude ER-2 aircraft over a variety of scene types and ground assets. Data are freely available to the public and useful for algorithm development and testing.
The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) field campaign is a resource...
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