Articles | Volume 7, issue 6
https://doi.org/10.5194/amt-7-1791-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-7-1791-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Jun 2014
Research article |
| 23 Jun 2014
Critical evaluation of cloud contamination in the MISR aerosol products using MODIS cloud mask products
Department of Atmospheric Science, University of North Dakota, Grand Forks, ND, USA
Department of Atmospheric Science, University of North Dakota, Grand Forks, ND, USA
J. S. Reid
Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA
B. Liu
Department of Computer Science, University of North Dakota, Grand Forks, ND, USA
E. J. Hyer
Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA
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- Potential sensitivity of photosynthesis and isoprene emission to direct radiative effects of atmospheric aerosol pollution S. Strada & N. Unger 10.5194/acp-16-4213-2016
- New approach to the retrieval of AOD and its uncertainty from MISR observations over dark water M. Witek et al. 10.5194/amt-11-429-2018
- Evaluation of the MISR fine resolution aerosol product using MODIS, MISR, and ground observations over China Y. Si et al. 10.1016/j.atmosenv.2019.117229
- Disentangling temperature and water stress contributions to trends in isoprene emissions using satellite observations of formaldehyde, 2005–2016 S. Strada et al. 10.1016/j.atmosenv.2022.119530
- Observations of the Interaction and Transport of Fine Mode Aerosols With Cloud and/or Fog in Northeast Asia From Aerosol Robotic Network and Satellite Remote Sensing T. Eck et al. 10.1029/2018JD028313
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- Use of the CALIOP vertical feature mask for evaluating global aerosol models E. Nowottnick et al. 10.5194/amt-8-3647-2015
- How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? H. Lee et al. 10.3390/rs10091326
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- Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP) P. Xian et al. 10.1002/qj.3497
- Correcting for trace gas absorption when retrieving aerosol optical depth from satellite observations of reflected shortwave radiation F. Patadia et al. 10.5194/amt-11-3205-2018
- Evaluation of the spatiotemporal changes in ecological quality and public health status: a case study of Jharkhand State in India L. Mohammad et al. 10.1007/s10668-025-06285-2
- Modulation of the ENSO on Winter Aerosol Pollution in the Eastern Region of China J. Sun et al. 10.1029/2018JD028534
- Has China been exporting less particulate air pollution over the past decade? J. Zhang et al. 10.1002/2017GL072617
- Direct Estimation of Land Surface Albedo From Simultaneous MISR Data T. He et al. 10.1109/TGRS.2017.2648847
- An 11-year global gridded aerosol optical thickness reanalysis (v1.0) for atmospheric and climate sciences P. Lynch et al. 10.5194/gmd-9-1489-2016
- Simulations of the effect of intensive biomass burning in July 2015 on Arctic radiative budget K. Markowicz et al. 10.1016/j.atmosenv.2017.10.015
- Variability of Aerosols and Clouds Over North Indian and Myanmar During the COVID-19 Lockdown Period D. Lawand et al. 10.3389/fenvs.2022.838778
- Contrasting cloud composition between coupled and decoupled marine boundary layer clouds Z. Wang et al. 10.1002/2016JD025695
- Local Emissions and Regional Wildfires Influence Refractory Black Carbon Observations Near Palmer Station, Antarctica A. Khan et al. 10.3389/feart.2019.00049
- An analysis of global aerosol type as retrieved by MISR R. Kahn & B. Gaitley 10.1002/2015JD023322
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- Post-processing to remove residual clouds from aerosol optical depth retrieved using the Advanced Along Track Scanning Radiometer L. Sogacheva et al. 10.5194/amt-10-491-2017
- Development and assessment of a higher-spatial-resolution (4.4 km) MISR aerosol optical depth product using AERONET-DRAGON data M. Garay et al. 10.5194/acp-17-5095-2017
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