Articles | Volume 5, issue 9
https://doi.org/10.5194/amt-5-2143-2012
© Author(s) 2012. 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-5-2143-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Sep 2012
Research article |
| 05 Sep 2012
Evaluating nighttime CALIOP 0.532 μm aerosol optical depth and extinction coefficient retrievals
J. R. Campbell
Aerosol and Radiation Sciences Section, Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA
J. L. Tackett
Science Systems Applications Inc., c/o NASA Langley Research Center, Hampton Roads, VA, USA
J. S. Reid
Aerosol and Radiation Sciences Section, Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA
J. Zhang
Department of Atmospheric Science, University of North Dakota, Grand Folks, ND, USA
C. A. Curtis
Aerosol and Radiation Sciences Section, Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA
E. J. Hyer
Aerosol and Radiation Sciences Section, Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA
W. R. Sessions
Computer Sciences Corporation, c/o Aerosol and Radiation Sciences Section, Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA
D. L. Westphal
Aerosol and Radiation Sciences Section, Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA
J. M. Prospero
Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL, USA
E. J. Welton
NASA Goddard Space Flight Center, Greenbelt, MD, USA
A. H. Omar
NASA Langley Research Center, Hampton Roads, VA, USA
M. A. Vaughan
NASA Langley Research Center, Hampton Roads, VA, USA
D. M. Winker
NASA Langley Research Center, Hampton Roads, VA, USA
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Cited
45 citations as recorded by crossref.
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- Prediction of Aerosol Optical Depth Using a Support Vector Machine Model in the Coal Mining Regions of Assam N. Kumar et al. https://doi.org/10.1007/s12524-026-02496-w
- Looking Into CALIPSO Climatological Products: Evaluation and Suggestions from EARLINET N. Papagiannopoulos et al. https://doi.org/10.1051/epjconf/201611904006
- CALIPSO climatological products: evaluation and suggestions from EARLINET N. Papagiannopoulos et al. https://doi.org/10.5194/acp-16-2341-2016
- Preliminary investigations toward nighttime aerosol optical depth retrievals from the VIIRS Day/Night Band R. Johnson et al. https://doi.org/10.5194/amt-6-1245-2013
- Status and future of numerical atmospheric aerosol prediction with a focus on data requirements A. Benedetti et al. https://doi.org/10.5194/acp-18-10615-2018
- Retrieving particulate matter concentrations over the contiguous United States using CALIOP observations T. Toth et al. https://doi.org/10.1016/j.atmosenv.2022.118979
- Characterizing the annual cycle of African dust transport to the Caribbean Basin and South America and its impact on the environment and air quality J. Prospero et al. https://doi.org/10.1002/2013GB004802
- Attributing Accelerated Summertime Warming in the Southeast United States to Recent Reductions in Aerosol Burden: Indications from Vertically-Resolved Observations M. Tosca et al. https://doi.org/10.3390/rs9070674
- Contrasting cloud composition between coupled and decoupled marine boundary layer clouds Z. Wang et al. https://doi.org/10.1002/2016JD025695
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- Vertical mass impact and features of Saharan dust intrusions derived from ground-based remote sensing in synergy with airborne in-situ measurements C. Córdoba-Jabonero et al. https://doi.org/10.1016/j.atmosenv.2016.08.003
- Climatology of Dust‐Forced Radiative Heating Over the Tibetan Plateau and Its Surroundings T. Wang et al. https://doi.org/10.1029/2020JD032942
- Spatial–Temporal Fusion of 10-Min Aerosol Optical Depth Products with the GEO–LEO Satellite Joint Observations X. Xia et al. https://doi.org/10.3390/rs15082038
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- Observation-based quantification of aerosol transport using optical flow: A satellite perspective to characterize interregional transport of atmospheric pollution T. Zhang et al. https://doi.org/10.1016/j.rse.2024.114457
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- Temporal variability of aerosol optical thickness vertical distribution observed from CALIOP T. Toth et al. https://doi.org/10.1002/2015JD024668
- Analysis of characteristics and changes in three-dimensional spatial and temporal distribution of aerosol types in Central Asia Y. Gan et al. https://doi.org/10.1016/j.scitotenv.2024.172196
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- Characteristics of Atmospheric Aerosols Over the UAE Inferred From CALIPSO and Sun Photometer Aerosol Optical Depth N. Nelli et al. https://doi.org/10.1029/2020EA001360
- Continuous ground-based aerosol Lidar observation during seasonal pollution events at Wuxi, China M. Wong et al. https://doi.org/10.1016/j.atmosenv.2017.01.051
- A bulk-mass-modeling-based method for retrieving particulate matter pollution using CALIOP observations T. Toth et al. https://doi.org/10.5194/amt-12-1739-2019
- Long-Term Spatiotemporal Variability and Source Attribution of Aerosols over Xinjiang, China C. Li et al. https://doi.org/10.3390/rs17132207
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45 citations as recorded by crossref.
- Investigating the frequency and interannual variability in global above-cloud aerosol characteristics with CALIOP and OMI R. Alfaro-Contreras et al. https://doi.org/10.5194/acp-16-47-2016
- Volcanic SO2 layer height by TROPOMI/S5P: evaluation against IASI/MetOp and CALIOP/CALIPSO observations M. Koukouli et al. https://doi.org/10.5194/acp-22-5665-2022
- Understanding processes that control dust spatial distributions with global climate models and satellite observations M. Wu et al. https://doi.org/10.5194/acp-20-13835-2020
- Micro Pulse Lidar measurements in coincidence with CALIPSO overpasses: Comparison of tropospheric aerosols over Kattankulathur (12.82oN, 80.04oE) A. Ananthavel et al. https://doi.org/10.1016/j.apr.2021.101082
- Prediction of Aerosol Optical Depth Using a Support Vector Machine Model in the Coal Mining Regions of Assam N. Kumar et al. https://doi.org/10.1007/s12524-026-02496-w
- Looking Into CALIPSO Climatological Products: Evaluation and Suggestions from EARLINET N. Papagiannopoulos et al. https://doi.org/10.1051/epjconf/201611904006
- CALIPSO climatological products: evaluation and suggestions from EARLINET N. Papagiannopoulos et al. https://doi.org/10.5194/acp-16-2341-2016
- Preliminary investigations toward nighttime aerosol optical depth retrievals from the VIIRS Day/Night Band R. Johnson et al. https://doi.org/10.5194/amt-6-1245-2013
- Status and future of numerical atmospheric aerosol prediction with a focus on data requirements A. Benedetti et al. https://doi.org/10.5194/acp-18-10615-2018
- Retrieving particulate matter concentrations over the contiguous United States using CALIOP observations T. Toth et al. https://doi.org/10.1016/j.atmosenv.2022.118979
- Characterizing the annual cycle of African dust transport to the Caribbean Basin and South America and its impact on the environment and air quality J. Prospero et al. https://doi.org/10.1002/2013GB004802
- Attributing Accelerated Summertime Warming in the Southeast United States to Recent Reductions in Aerosol Burden: Indications from Vertically-Resolved Observations M. Tosca et al. https://doi.org/10.3390/rs9070674
- Contrasting cloud composition between coupled and decoupled marine boundary layer clouds Z. Wang et al. https://doi.org/10.1002/2016JD025695
- The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm M. Kim et al. https://doi.org/10.5194/amt-11-6107-2018
- Spatiotemporal distribution of dust aerosol optical properties from CALIPSO and CATS observations in Xinjiang, China G. Ren et al. https://doi.org/10.1016/j.jastp.2023.106006
- Saharan and Arabian Dust Aerosols: A Comparative Case Study of Lidar Ratio C. Córdoba-Jabonero et al. https://doi.org/10.1051/epjconf/201611908002
- Satellite-Derived Aerosol Optical Depth Fusion Combining Active and Passive Remote Sensing Based on Bayesian Maximum Entropy X. Xia et al. https://doi.org/10.1109/TGRS.2021.3051799
- A global analysis of diurnal variability in dust and dust mixture using CATS observations Y. Yu et al. https://doi.org/10.5194/acp-21-1427-2021
- Understanding the Daytime and Nighttime Impacts of Dust Aerosols on Surface Energy and Meteorological Fields in Northwest China S. Su et al. https://doi.org/10.1029/2022JD037619
- Minimum aerosol layer detection sensitivities and their subsequent impacts on aerosol optical thickness retrievals in CALIPSO level 2 data products T. Toth et al. https://doi.org/10.5194/amt-11-499-2018
- WRF-Chem simulation of aerosol seasonal variability in the San Joaquin Valley L. Wu et al. https://doi.org/10.5194/acp-17-7291-2017
- Himawari-8 High Temporal Resolution AOD Products Recovery: Nested Bayesian Maximum Entropy Fusion Blending GEO With SSO Satellite Observations T. Zhang et al. https://doi.org/10.1109/TGRS.2023.3262785
- Aerosol remote sensing in polar regions C. Tomasi et al. https://doi.org/10.1016/j.earscirev.2014.11.001
- Vertical mass impact and features of Saharan dust intrusions derived from ground-based remote sensing in synergy with airborne in-situ measurements C. Córdoba-Jabonero et al. https://doi.org/10.1016/j.atmosenv.2016.08.003
- Climatology of Dust‐Forced Radiative Heating Over the Tibetan Plateau and Its Surroundings T. Wang et al. https://doi.org/10.1029/2020JD032942
- Spatial–Temporal Fusion of 10-Min Aerosol Optical Depth Products with the GEO–LEO Satellite Joint Observations X. Xia et al. https://doi.org/10.3390/rs15082038
- Three-dimensional climatology, trends, and meteorological drivers of global and regional tropospheric type-dependent aerosols: insights from 13 years (2007–2019) of CALIOP observations K. Gui et al. https://doi.org/10.5194/acp-21-15309-2021
- Observation-based quantification of aerosol transport using optical flow: A satellite perspective to characterize interregional transport of atmospheric pollution T. Zhang et al. https://doi.org/10.1016/j.rse.2024.114457
- Aerosol Direct Radiative Effects under Cloud-Free Conditions over Highly-Polluted Areas in Europe and Mediterranean: A Ten-Years Analysis (2007–2016) T. Landi et al. https://doi.org/10.3390/rs13152933
- Temporal variability of aerosol optical thickness vertical distribution observed from CALIOP T. Toth et al. https://doi.org/10.1002/2015JD024668
- Analysis of characteristics and changes in three-dimensional spatial and temporal distribution of aerosol types in Central Asia Y. Gan et al. https://doi.org/10.1016/j.scitotenv.2024.172196
- Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 1: Climatology and trend P. Xian et al. https://doi.org/10.5194/acp-22-9915-2022
- Investigation of CATS aerosol products and application toward global diurnal variation of aerosols L. Lee et al. https://doi.org/10.5194/acp-19-12687-2019
- Exploring the first aerosol indirect effect over Southeast Asia using a 10-year collocated MODIS, CALIOP, and model dataset A. Ross et al. https://doi.org/10.5194/acp-18-12747-2018
- The implementation of NEMS GFS Aerosol Component (NGAC) Version 2.0 for global multispecies forecasting at NOAA/NCEP – Part 2: Evaluation of aerosol optical thickness P. Bhattacharjee et al. https://doi.org/10.5194/gmd-11-2333-2018
- Quantitatively Assessing the Contributions of Dust Aerosols to Direct Radiative Forcing Based on Remote Sensing and Numerical Simulation J. Wang et al. https://doi.org/10.3390/rs14030660
- An improved method for retrieving nighttime aerosol optical thickness from the VIIRS Day/Night Band T. McHardy et al. https://doi.org/10.5194/amt-8-4773-2015
- Australian wildfires cause the largest stratospheric warming since Pinatubo and extends the lifetime of the Antarctic ozone hole L. Damany-Pearce et al. https://doi.org/10.1038/s41598-022-15794-3
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- Characteristics of Atmospheric Aerosols Over the UAE Inferred From CALIPSO and Sun Photometer Aerosol Optical Depth N. Nelli et al. https://doi.org/10.1029/2020EA001360
- Continuous ground-based aerosol Lidar observation during seasonal pollution events at Wuxi, China M. Wong et al. https://doi.org/10.1016/j.atmosenv.2017.01.051
- A bulk-mass-modeling-based method for retrieving particulate matter pollution using CALIOP observations T. Toth et al. https://doi.org/10.5194/amt-12-1739-2019
- Long-Term Spatiotemporal Variability and Source Attribution of Aerosols over Xinjiang, China C. Li et al. https://doi.org/10.3390/rs17132207
- Impact of data quality and surface-to-column representativeness on the PM2.5 / satellite AOD relationship for the contiguous United States T. Toth et al. https://doi.org/10.5194/acp-14-6049-2014
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