Articles | Volume 13, issue 4
https://doi.org/10.5194/amt-13-1777-2020
© 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-13-1777-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Apr 2020
Research article |
| 08 Apr 2020
| 08 Apr 2020
Spatial distribution of cloud droplet size properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) measurements
Department of Physics, University of Maryland Baltimore County, Baltimore,
Maryland, USA
Earth and Space Institute, University of Maryland Baltimore County, Baltimore,
Maryland, USA
Joint Center for Earth Systems Technology, University of Maryland
Baltimore County, Baltimore, Maryland, USA
J. Vanderlei Martins
Department of Physics, University of Maryland Baltimore County, Baltimore,
Maryland, USA
Earth and Space Institute, University of Maryland Baltimore County, Baltimore,
Maryland, USA
Joint Center for Earth Systems Technology, University of Maryland
Baltimore County, Baltimore, Maryland, USA
Henrique M. J. Barbosa
Instituto de Física, Universidade de São Paulo, São
Paulo, 05508-090, Brazil
William Birmingham
Earth and Space Institute, University of Maryland Baltimore County, Baltimore,
Maryland, USA
Joint Center for Earth Systems Technology, University of Maryland
Baltimore County, Baltimore, Maryland, USA
Lorraine A. Remer
Earth and Space Institute, University of Maryland Baltimore County, Baltimore,
Maryland, USA
Joint Center for Earth Systems Technology, University of Maryland
Baltimore County, Baltimore, Maryland, USA
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19 citations as recorded by crossref.
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- Settings for Spaceborne 3-D Scattering Tomography of Liquid-Phase Clouds by the CloudCT Mission M. Tzabari et al. 10.1109/TGRS.2022.3198525
- 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
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- 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
- Model-based evaluation of cloud geometry and droplet size retrievals from two-dimensional polarized measurements of specMACS L. Volkmer et al. 10.5194/amt-17-1703-2024
- 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
- 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
- High-spatial-resolution retrieval of cloud droplet size distribution from polarized observations of the cloudbow V. Pörtge et al. 10.5194/amt-16-645-2023
- Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 1: Model description and Jacobian calculation J. Loveridge et al. 10.5194/amt-16-1803-2023
- The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign K. Knobelspiesse et al. 10.5194/essd-12-2183-2020
- A Radiative Transfer Simulator for PACE: Theory and Applications P. Zhai et al. 10.3389/frsen.2022.840188
- Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing D. Rosenfeld et al. 10.1029/2022RG000799
- Evaluation and characterization of imaging polarimetry through metasurface polarization gratings L. Li et al. 10.1364/AO.480487
- Pre-launch calibration and validation of the Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) instrument B. McBride et al. 10.5194/amt-17-5709-2024
- Aerosol retrieval over snow using the RemoTAP algorithm Z. Zhang et al. 10.5194/amt-16-6051-2023
- Polarization upgrade of specMACS: calibration and characterization of the 2D RGB polarization-resolving cameras A. Weber et al. 10.5194/amt-17-1419-2024
- 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
- Aerosol-UA satellite mission for the polarimetric study of aerosols in the atmosphere I. Syniavskyi et al. 10.1016/j.jqsrt.2021.107601
2 citations as recorded by crossref.
- Developing small satellite ground support software for orbit tracking and target acquisition of the HARP cubesat N. Sienkiewicz et al. 10.3389/frsen.2024.1474600
- Towards multi-views cloud retrieval accounting for the 3-D structure collected by directional polarization camera H. Yu et al. 10.1016/j.isprsjprs.2024.04.028
Latest update: 04 Nov 2024
Short summary
Clouds play a large role in the way our Earth system distributes energy. The measurement of cloud droplet size distribution (DSD) is one way to connect small-scale cloud processes to scattered radiation. Our small satellite instrument, the Airborne Hyper-Angular Rainbow Polarimeter, is the first to infer DSDs over a wide spatial cloud field using polarized light. This study improves the way we interpret cloud properties and shows that high-quality science does not require a large taxpayer cost.
Clouds play a large role in the way our Earth system distributes energy. The measurement of...
