Articles | Volume 6, issue 8
https://doi.org/10.5194/amt-6-2131-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/amt-6-2131-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
27 Aug 2013
Research article |
| 27 Aug 2013
MISR Dark Water aerosol retrievals: operational algorithm sensitivity to particle non-sphericity
O. V. Kalashnikova
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
M. J. Garay
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
J. V. Martonchik
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
D. J. Diner
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
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- A theoretical study of the effect of subsurface oceanic bubbles on the enhanced aerosol optical depth band over the southern oceans as detected from MODIS and MISR M. Christensen et al. https://doi.org/10.5194/amt-8-2149-2015
- Comprehensive Validation and Comparison of Three VIIRS Aerosol Products over the Ocean on a Global Scale W. Li et al. https://doi.org/10.3390/rs14112544
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. https://doi.org/10.1029/2022RG000796
- Satellite assessment of sea spray aerosol productivity: Southern Ocean case study M. Witek et al. https://doi.org/10.1002/2015JD023726
- Correlation between the lidar ratio and the Ångström exponent of various aerosol types Y. Song et al. https://doi.org/10.1016/j.partic.2017.12.002
- A Review of Satellite Constraints on Airborne Dust: What We Can Say, and What We Can't R. Kahn et al. https://doi.org/10.1051/e3sconf/20199901008
- A sensitivity study on the retrieval of aerosol vertical profiles using the oxygen A-band S. Colosimo et al. https://doi.org/10.5194/amt-9-1889-2016
- Transported African Dust in the Lower Marine Atmospheric Boundary Layer is Internally Mixed with Sea Salt Contributing to Increased Hygroscopicity and a Lower Lidar Depolarization Ratio S. Shrestha et al. https://doi.org/10.5194/acp-26-983-2026
- Photopolarimetric Sensitivity to Black Carbon Content of Wildfire Smoke: Results From the 2016 ImPACT‐PM Field Campaign O. Kalashnikova et al. https://doi.org/10.1029/2017JD028032
- Regime shift in Arabian dust activity, triggered by persistent Fertile Crescent drought M. Notaro et al. https://doi.org/10.1002/2015JD023855
- Validation, analysis, and comparison of MISR V23 aerosol optical depth products with MODIS and AERONET observations R. Fan et al. https://doi.org/10.1016/j.scitotenv.2022.159117
- Retrieving Aerosol Characteristics From the PACE Mission, Part 2: Multi-Angle and Polarimetry L. Remer et al. https://doi.org/10.3389/fenvs.2019.00094
- An updated review of satellite constraints on airborne dust: Current status and future prospects R. Kahn et al. https://doi.org/10.1051/e3sconf/202457501008
- New approach to the retrieval of AOD and its uncertainty from MISR observations over dark water M. Witek et al. https://doi.org/10.5194/amt-11-429-2018
- Improving MISR AOD Retrievals With Low-Light-Level Corrections for Veiling Light M. Witek et al. https://doi.org/10.1109/TGRS.2017.2727342
- Retrieving Aerosol Characteristics From the PACE Mission, Part 1: Ocean Color Instrument L. Remer et al. https://doi.org/10.3389/feart.2019.00152
- Introducing the MISR level 2 near real-time aerosol product M. Witek et al. https://doi.org/10.5194/amt-14-5577-2021
- Vertical Profile of Ozone Derived from Combined MLS and TES Satellite Observations J. Liu et al. https://doi.org/10.3390/rs14071588
- Expanding the coverage of Multi-angle Imaging SpectroRadiometer (MISR) aerosol retrievals over shallow, turbid, and eutrophic waters R. Nelson et al. https://doi.org/10.5194/amt-16-4947-2023
- A global black carbon dataset of column concentration and microphysical information derived from MISR multi-band observations and Mie scattering simulations Z. Liu et al. https://doi.org/10.5194/essd-18-507-2026
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- AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products H. Lim et al. https://doi.org/10.3390/rs10050699
- Estimates of African Dust Deposition Along the Trans‐Atlantic Transit Using the Decadelong Record of Aerosol Measurements from CALIOP, MODIS, MISR, and IASI H. Yu et al. https://doi.org/10.1029/2019JD030574
- Intercomparing the Aerosol Optical Depth Using the Geostationary Satellite Sensors (AHI, GOCI and MI) from Yonsei AErosol Retrieval (YAER) Algorithm H. Lim et al. https://doi.org/10.5467/JKESS.2018.39.2.119
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. https://doi.org/10.1080/10643389.2019.1665944
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- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
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