Articles | Volume 17, issue 8
https://doi.org/10.5194/acp-17-5095-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-5095-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Apr 2017
Research article |
| 19 Apr 2017
Development and assessment of a higher-spatial-resolution (4.4 km) MISR aerosol optical depth product using AERONET-DRAGON data
Michael J. Garay
CORRESPONDING AUTHOR
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California
Olga V. Kalashnikova
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California
Michael A. Bull
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California
Viewed
Total article views: 3,656 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Aug 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,154 | 1,396 | 106 | 3,656 | 103 | 134 |
- HTML: 2,154
- PDF: 1,396
- XML: 106
- Total: 3,656
- BibTeX: 103
- EndNote: 134
Total article views: 3,168 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Apr 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,876 | 1,220 | 72 | 3,168 | 76 | 97 |
- HTML: 1,876
- PDF: 1,220
- XML: 72
- Total: 3,168
- BibTeX: 76
- EndNote: 97
Total article views: 488 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Aug 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 278 | 176 | 34 | 488 | 27 | 37 |
- HTML: 278
- PDF: 176
- XML: 34
- Total: 488
- BibTeX: 27
- EndNote: 37
Cited
57 citations as recorded by crossref.
- A low-cost monitor for simultaneous measurement of fine particulate matter and aerosol optical depth – Part 3: Automation and design improvements E. Wendt et al. 10.5194/amt-14-6023-2021
- Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance M. Tao et al. 10.1029/2019JD031909
- A review of advances in the retrieval of aerosol properties by remote sensing multi-angle technology Y. Si et al. 10.1016/j.atmosenv.2020.117928
- Accuracy and error cause analysis, and recommendations for usage of Himawari-8 aerosol products over Asia and Oceania L. Feng et al. 10.1016/j.scitotenv.2021.148958
- Estimating PM2.5 speciation concentrations using prototype 4.4 km-resolution MISR aerosol properties over Southern California X. Meng et al. 10.1016/j.atmosenv.2018.03.019
- A review of statistical methods used for developing large-scale and long-term PM2.5 models from satellite data Z. Ma et al. 10.1016/j.rse.2021.112827
- Assessment of the impact of discontinuity in satellite instruments and retrievals on global PM2.5 estimates M. Hammer et al. 10.1016/j.rse.2023.113624
- Improving Aerosol Retrieval From MISR With a Physics-Informed Deep Learning Method W. Man et al. 10.1109/TGRS.2024.3376598
- Applying the Dark Target Aerosol Algorithm to MERSI-II: Retrieval and Validation of Aerosol Optical Depth over the Ocean X. Pei et al. 10.1007/s00376-024-4032-y
- High‐Resolution Post‐Process Corrected Satellite AOD H. Taskinen et al. 10.1029/2022GL099733
- Intercomparing the Aerosol Optical Depth Using the Geostationary Satellite Sensors (AHI, GOCI and MI) from Yonsei AErosol Retrieval (YAER) Algorithm H. Lim et al. 10.5467/JKESS.2018.39.2.119
- A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. 10.5194/amt-13-373-2020
- Integrating Fixed Monitoring Systems with Low-Cost Sensors to Create High-Resolution Air Quality Maps for the Northern China Plain Region C. Chao et al. 10.1021/acsearthspacechem.1c00174
- 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
- Long‐Term Trends of High Aerosol Pollution Events and Their Climatic Impacts in North America Using Multiple Satellite Retrievals and Modern‐Era Retrospective Analysis for Research and Applications version 2 Q. Jin & S. Pryor 10.1029/2019JD031137
- An Effective and Efficient Enhanced Fixed Rank Smoothing Method for the Spatiotemporal Fusion of Multiple-Satellite Aerosol Optical Depth Products B. Zou et al. 10.3390/rs12071102
- Estimation of Aerosol Optical Depth at 30 m Resolution Using Landsat Imagery and Machine Learning T. Liang et al. 10.3390/rs14051053
- Validation, Analysis, and Comparison of Misr V23 Aerosol Optical Depth Products with Modis and Aeronet Observations R. Fan et al. 10.2139/ssrn.4143337
- Random forest models for PM2.5 speciation concentrations using MISR fractional AODs G. Geng et al. 10.1088/1748-9326/ab76df
- How should we aggregate data? Methods accounting for the numerical distributions, with an assessment of aerosol optical depth A. Sayer & K. Knobelspiesse 10.5194/acp-19-15023-2019
- Seasonal variability and trends in global type-segregated aerosol optical depth as revealed by MISR satellite observations K. Gui et al. 10.1016/j.scitotenv.2021.147543
- Introducing the 4.4 km spatial resolution Multi-Angle Imaging SpectroRadiometer (MISR) aerosol product M. Garay et al. 10.5194/amt-13-593-2020
- SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
- Assessing spatiotemporal variations of AOD in Japan based on Himawari-8 L3 V31 aerosol products: Validations and applications Y. Tan et al. 10.1016/j.apr.2022.101439
- Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type, aerosol loading and aerosol absorption L. Mei et al. 10.1016/j.atmosres.2019.05.023
- Improving MISR AOD Retrievals With Low-Light-Level Corrections for Veiling Light M. Witek et al. 10.1109/TGRS.2017.2727342
- Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
- 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. 10.1029/2019JD030574
- An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks B. Holben et al. 10.5194/acp-18-655-2018
- A comprehensive review delineates advancements in retrieving particulate matter utilising satellite aerosol optical depth: Parameter consideration, data processing, models development and future perspectives S. Padimala & C. Matli 10.1016/j.atmosres.2024.107514
- Temporal and Spatial Autocorrelation as Determinants of Regional AOD-PM2.5 Model Performance in the Middle East K. Chau et al. 10.3390/rs13183790
- Evaluation of aerosol microphysical, optical and radiative properties measured with a multiwavelength photometer Y. Zheng et al. 10.5194/amt-15-2139-2022
- A high-precision aerosol retrieval algorithm for FY-3D MERSI-II images Q. Wang et al. 10.1016/j.envint.2023.107841
- How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? H. Lee et al. 10.3390/rs10091326
- The sensitivity of Southern Ocean aerosols and cloud microphysics to sea spray and sulfate aerosol production in the HadGEM3-GA7.1 chemistry–climate model L. Revell et al. 10.5194/acp-19-15447-2019
- AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products H. Lim et al. 10.3390/rs10050699
- Validation, comparison, and integration of GOCI, AHI, MODIS, MISR, and VIIRS aerosol optical depth over East Asia during the 2016 KORUS-AQ campaign M. Choi et al. 10.5194/amt-12-4619-2019
- Space‐Borne Estimation of Volcanic Sulfate Aerosol Lifetime C. Li & R. Cohen 10.1029/2020JD033883
- Updated MISR over-water research aerosol retrieval algorithm – Part 2: A multi-angle aerosol retrieval algorithm for shallow, turbid, oligotrophic, and eutrophic waters J. Limbacher & R. Kahn 10.5194/amt-12-675-2019
- A national crowdsourced network of low-cost fine particulate matter and aerosol optical depth monitors: results from the 2021 wildfire season in the United States E. Wendt et al. 10.1039/D3EA00086A
- Evaluating MODIS and MISR aerosol optical depth retrievals over environmentally distinct sites in Pakistan G. Ali et al. 10.1016/j.jastp.2018.12.008
- Integration of GOCI and AHI Yonsei aerosol optical depth products during the 2016 KORUS-AQ and 2018 EMeRGe campaigns H. Lim et al. 10.5194/amt-14-4575-2021
- Deep-learning-based post-process correction of the aerosol parameters in the high-resolution Sentinel-3 Level-2 Synergy product A. Lipponen et al. 10.5194/amt-15-895-2022
- Validation, analysis, and comparison of MISR V23 aerosol optical depth products with MODIS and AERONET observations R. Fan et al. 10.1016/j.scitotenv.2022.159117
- 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
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- Robust evidence for reversal of the trend in aerosol effective climate forcing J. Quaas et al. 10.5194/acp-22-12221-2022
- Satellite Observations of Cloud-Related Variations in Aerosol Properties T. Várnai & A. Marshak 10.3390/atmos9110430
- Spatiotemporal Characteristics of the Association between AOD and PM over the California Central Valley M. Sorek-Hamer et al. 10.3390/rs12040685
- Remotely sensed BC columns over rapidly changing Western China show significant decreases in mass and inconsistent changes in number, size, and mixing properties due to policy actions Z. Liu et al. 10.1038/s41612-024-00663-9
- Comparison and evaluation of multiple satellite aerosol products over China in different scenarios under a unified criterion: Preparation for consistent and high-quality dataset construction H. Zhu et al. 10.1016/j.atmosres.2022.106374
- Satellite-Derived PM2.5 Composition and Its Differential Effect on Children’s Lung Function K. Chau et al. 10.3390/rs12061028
- Collocation mismatch uncertainties in satellite aerosol retrieval validation T. Virtanen et al. 10.5194/amt-11-925-2018
- Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998–2018) M. Hammer et al. 10.1021/acs.est.0c01764
- Using Multi-Angle Imaging SpectroRadiometer Aerosol Mixture Properties for Air Quality Assessment in Mongolia M. Franklin et al. 10.3390/rs10081317
- Reversal of Aerosol Properties in Eastern China with Rapid Decline of Anthropogenic Emissions M. Tao et al. 10.3390/rs12030523
- Size-resolved particulate matter concentrations derived from 4.4 km-resolution size-fractionated Multi-angle Imaging SpectroRadiometer (MISR) aerosol optical depth over Southern California M. Franklin et al. 10.1016/j.rse.2017.05.002
55 citations as recorded by crossref.
- A low-cost monitor for simultaneous measurement of fine particulate matter and aerosol optical depth – Part 3: Automation and design improvements E. Wendt et al. 10.5194/amt-14-6023-2021
- Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance M. Tao et al. 10.1029/2019JD031909
- A review of advances in the retrieval of aerosol properties by remote sensing multi-angle technology Y. Si et al. 10.1016/j.atmosenv.2020.117928
- Accuracy and error cause analysis, and recommendations for usage of Himawari-8 aerosol products over Asia and Oceania L. Feng et al. 10.1016/j.scitotenv.2021.148958
- Estimating PM2.5 speciation concentrations using prototype 4.4 km-resolution MISR aerosol properties over Southern California X. Meng et al. 10.1016/j.atmosenv.2018.03.019
- A review of statistical methods used for developing large-scale and long-term PM2.5 models from satellite data Z. Ma et al. 10.1016/j.rse.2021.112827
- Assessment of the impact of discontinuity in satellite instruments and retrievals on global PM2.5 estimates M. Hammer et al. 10.1016/j.rse.2023.113624
- Improving Aerosol Retrieval From MISR With a Physics-Informed Deep Learning Method W. Man et al. 10.1109/TGRS.2024.3376598
- Applying the Dark Target Aerosol Algorithm to MERSI-II: Retrieval and Validation of Aerosol Optical Depth over the Ocean X. Pei et al. 10.1007/s00376-024-4032-y
- High‐Resolution Post‐Process Corrected Satellite AOD H. Taskinen et al. 10.1029/2022GL099733
- Intercomparing the Aerosol Optical Depth Using the Geostationary Satellite Sensors (AHI, GOCI and MI) from Yonsei AErosol Retrieval (YAER) Algorithm H. Lim et al. 10.5467/JKESS.2018.39.2.119
- A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. 10.5194/amt-13-373-2020
- Integrating Fixed Monitoring Systems with Low-Cost Sensors to Create High-Resolution Air Quality Maps for the Northern China Plain Region C. Chao et al. 10.1021/acsearthspacechem.1c00174
- 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
- Long‐Term Trends of High Aerosol Pollution Events and Their Climatic Impacts in North America Using Multiple Satellite Retrievals and Modern‐Era Retrospective Analysis for Research and Applications version 2 Q. Jin & S. Pryor 10.1029/2019JD031137
- An Effective and Efficient Enhanced Fixed Rank Smoothing Method for the Spatiotemporal Fusion of Multiple-Satellite Aerosol Optical Depth Products B. Zou et al. 10.3390/rs12071102
- Estimation of Aerosol Optical Depth at 30 m Resolution Using Landsat Imagery and Machine Learning T. Liang et al. 10.3390/rs14051053
- Validation, Analysis, and Comparison of Misr V23 Aerosol Optical Depth Products with Modis and Aeronet Observations R. Fan et al. 10.2139/ssrn.4143337
- Random forest models for PM2.5 speciation concentrations using MISR fractional AODs G. Geng et al. 10.1088/1748-9326/ab76df
- How should we aggregate data? Methods accounting for the numerical distributions, with an assessment of aerosol optical depth A. Sayer & K. Knobelspiesse 10.5194/acp-19-15023-2019
- Seasonal variability and trends in global type-segregated aerosol optical depth as revealed by MISR satellite observations K. Gui et al. 10.1016/j.scitotenv.2021.147543
- Introducing the 4.4 km spatial resolution Multi-Angle Imaging SpectroRadiometer (MISR) aerosol product M. Garay et al. 10.5194/amt-13-593-2020
- SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
- Assessing spatiotemporal variations of AOD in Japan based on Himawari-8 L3 V31 aerosol products: Validations and applications Y. Tan et al. 10.1016/j.apr.2022.101439
- Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type, aerosol loading and aerosol absorption L. Mei et al. 10.1016/j.atmosres.2019.05.023
- Improving MISR AOD Retrievals With Low-Light-Level Corrections for Veiling Light M. Witek et al. 10.1109/TGRS.2017.2727342
- Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
- 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. 10.1029/2019JD030574
- An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks B. Holben et al. 10.5194/acp-18-655-2018
- A comprehensive review delineates advancements in retrieving particulate matter utilising satellite aerosol optical depth: Parameter consideration, data processing, models development and future perspectives S. Padimala & C. Matli 10.1016/j.atmosres.2024.107514
- Temporal and Spatial Autocorrelation as Determinants of Regional AOD-PM2.5 Model Performance in the Middle East K. Chau et al. 10.3390/rs13183790
- Evaluation of aerosol microphysical, optical and radiative properties measured with a multiwavelength photometer Y. Zheng et al. 10.5194/amt-15-2139-2022
- A high-precision aerosol retrieval algorithm for FY-3D MERSI-II images Q. Wang et al. 10.1016/j.envint.2023.107841
- How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? H. Lee et al. 10.3390/rs10091326
- The sensitivity of Southern Ocean aerosols and cloud microphysics to sea spray and sulfate aerosol production in the HadGEM3-GA7.1 chemistry–climate model L. Revell et al. 10.5194/acp-19-15447-2019
- AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products H. Lim et al. 10.3390/rs10050699
- Validation, comparison, and integration of GOCI, AHI, MODIS, MISR, and VIIRS aerosol optical depth over East Asia during the 2016 KORUS-AQ campaign M. Choi et al. 10.5194/amt-12-4619-2019
- Space‐Borne Estimation of Volcanic Sulfate Aerosol Lifetime C. Li & R. Cohen 10.1029/2020JD033883
- Updated MISR over-water research aerosol retrieval algorithm – Part 2: A multi-angle aerosol retrieval algorithm for shallow, turbid, oligotrophic, and eutrophic waters J. Limbacher & R. Kahn 10.5194/amt-12-675-2019
- A national crowdsourced network of low-cost fine particulate matter and aerosol optical depth monitors: results from the 2021 wildfire season in the United States E. Wendt et al. 10.1039/D3EA00086A
- Evaluating MODIS and MISR aerosol optical depth retrievals over environmentally distinct sites in Pakistan G. Ali et al. 10.1016/j.jastp.2018.12.008
- Integration of GOCI and AHI Yonsei aerosol optical depth products during the 2016 KORUS-AQ and 2018 EMeRGe campaigns H. Lim et al. 10.5194/amt-14-4575-2021
- Deep-learning-based post-process correction of the aerosol parameters in the high-resolution Sentinel-3 Level-2 Synergy product A. Lipponen et al. 10.5194/amt-15-895-2022
- Validation, analysis, and comparison of MISR V23 aerosol optical depth products with MODIS and AERONET observations R. Fan et al. 10.1016/j.scitotenv.2022.159117
- 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
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- Robust evidence for reversal of the trend in aerosol effective climate forcing J. Quaas et al. 10.5194/acp-22-12221-2022
- Satellite Observations of Cloud-Related Variations in Aerosol Properties T. Várnai & A. Marshak 10.3390/atmos9110430
- Spatiotemporal Characteristics of the Association between AOD and PM over the California Central Valley M. Sorek-Hamer et al. 10.3390/rs12040685
- Remotely sensed BC columns over rapidly changing Western China show significant decreases in mass and inconsistent changes in number, size, and mixing properties due to policy actions Z. Liu et al. 10.1038/s41612-024-00663-9
- Comparison and evaluation of multiple satellite aerosol products over China in different scenarios under a unified criterion: Preparation for consistent and high-quality dataset construction H. Zhu et al. 10.1016/j.atmosres.2022.106374
- Satellite-Derived PM2.5 Composition and Its Differential Effect on Children’s Lung Function K. Chau et al. 10.3390/rs12061028
- Collocation mismatch uncertainties in satellite aerosol retrieval validation T. Virtanen et al. 10.5194/amt-11-925-2018
- Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998–2018) M. Hammer et al. 10.1021/acs.est.0c01764
- Using Multi-Angle Imaging SpectroRadiometer Aerosol Mixture Properties for Air Quality Assessment in Mongolia M. Franklin et al. 10.3390/rs10081317
2 citations as recorded by crossref.
- Reversal of Aerosol Properties in Eastern China with Rapid Decline of Anthropogenic Emissions M. Tao et al. 10.3390/rs12030523
- Size-resolved particulate matter concentrations derived from 4.4 km-resolution size-fractionated Multi-angle Imaging SpectroRadiometer (MISR) aerosol optical depth over Southern California M. Franklin et al. 10.1016/j.rse.2017.05.002
Latest update: 24 Dec 2024
Short summary
Satellite data from the MISR instrument were used to produce aerosol optical depth (AOD) retrievals at 4.4 km spatial resolution, a factor of 16 improvement relative to the currently operational 17.6 km product. Retrievals were compared with high-spatial-resolution ground-based observations made by AERONET-DRAGON deployments around the globe. It was found that the 4.4 km MISR retrievals performed significantly better than the 17.6 km retrievals in comparisons made at over 100 individual sites.
Satellite data from the MISR instrument were used to produce aerosol optical depth (AOD)...
Altmetrics
Final-revised paper
Preprint