Articles | Volume 13, issue 2
https://doi.org/10.5194/amt-13-553-2020
© 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/amt-13-553-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Aerosol retrievals from different polarimeters during the ACEPOL campaign using a common retrieval algorithm
Netherlands Institute for Space Research (SRON, NWO-I), Utrecht, the Netherlands
Netherlands Institute for Space Research (SRON, NWO-I), Utrecht, the Netherlands
Jeroen Rietjens
Netherlands Institute for Space Research (SRON, NWO-I), Utrecht, the Netherlands
Martijn Smit
Netherlands Institute for Space Research (SRON, NWO-I), Utrecht, the Netherlands
Antonio Di Noia
Department of Physics and Astronomy, University of Leicester, Leicester, LE1 7RH, UK
Brian Cairns
NASA Goddard Institute for Space Studies (GISS), New York, USA
Andrzej Wasilewski
Trinnovim LLC., New York, USA
David Diner
NASA Jet Propulsion Laboratory (JPL), California Institute of Technology, Pasadena, USA
Felix Seidel
NASA Jet Propulsion Laboratory (JPL), California Institute of Technology, Pasadena, USA
Feng Xu
School of Meteorology, The University of Oklahoma
National Weather Center, Norman, USA
Kirk Knobelspiesse
NASA Goddard Space Flight Center, Greenbelt, USA
NASA Goddard Space Flight Center, Greenbelt, USA
Arlindo da Silva
NASA Goddard Space Flight Center, Greenbelt, USA
Sharon Burton
NASA Langley Research Center, Hampton, USA
Chris Hostetler
NASA Langley Research Center, Hampton, USA
John Hair
NASA Langley Research Center, Hampton, USA
Richard Ferrare
NASA Langley Research Center, Hampton, USA
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- A Comprehensive Description of Multi-Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications O. Dubovik et al. 10.3389/frsen.2021.706851
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- Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean M. Gao et al. 10.5194/amt-15-4859-2022
- Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition? M. Kacenelenbogen et al. 10.5194/acp-22-3713-2022
- Development and Validation of an Empirical Ocean Color Algorithm with Uncertainties: A Case Study with the Particulate Backscattering Coefficient L. McKinna et al. 10.1029/2021JC017231
- 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
- Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing D. Rosenfeld et al. 10.1029/2022RG000799
- New in situ aerosol hyperspectral optical measurements over 300–700 nm – Part 1: Spectral Aerosol Extinction (SpEx) instrument field validation during the KORUS-OC cruise C. Jordan et al. 10.5194/amt-14-695-2021
- Retrievals of aerosol optical depth over the western North Atlantic Ocean during ACTIVATE L. Siu et al. 10.5194/amt-17-2739-2024
- 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
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- Simultaneous retrieval of aerosol and ocean properties from PACE HARP2 with uncertainty assessment using cascading neural network radiative transfer models M. Gao et al. 10.5194/amt-16-5863-2023
- The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign K. Knobelspiesse et al. 10.5194/essd-12-2183-2020
- Validation of the aerosol optical property products derived by the GRASP/Component approach from multi-angular polarimetric observations X. Zhang et al. 10.1016/j.atmosres.2021.105802
- Summarizing multiple aspects of triple collocation analysis in a single diagram L. Siu et al. 10.3389/frsen.2024.1395442
- 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
Latest update: 14 Dec 2024
Short summary
In this paper, we present aerosol retrieval results from the ACEPOL (Aerosol Characterization from Polarimeter and Lidar) campaign, which was a joint initiative between NASA and SRON (the Netherlands Institute for Space Research). We perform aerosol retrievals from different multi-angle polarimeters employed during the ACEPOL campaign and evaluate them against ground-based AERONET measurements and High Spectral Resolution Lidar-2 (HSRL-2) measurements.
In this paper, we present aerosol retrieval results from the ACEPOL (Aerosol Characterization...