Articles | Volume 13, issue 2
https://doi.org/10.5194/amt-13-593-2020
© 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-13-593-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Introducing the 4.4 km spatial resolution Multi-Angle Imaging SpectroRadiometer (MISR) aerosol product
Michael J. Garay
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Marcin L. Witek
CORRESPONDING AUTHOR
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Ralph A. Kahn
Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt,
MD 20771, USA
Felix C. Seidel
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
James A. Limbacher
Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt,
MD 20771, USA
Science Systems and Applications Inc., Lanham, MD 20706, USA
Michael A. Bull
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
David J. Diner
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Earl G. Hansen
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Olga V. Kalashnikova
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Huikyo Lee
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Abigail M. Nastan
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Department of Geography, University of California, Los Angeles, Los
Angeles, CA 90095, USA
Viewed
Total article views: 4,660 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Oct 2019)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
3,281 | 1,311 | 68 | 4,660 | 82 | 84 |
- HTML: 3,281
- PDF: 1,311
- XML: 68
- Total: 4,660
- BibTeX: 82
- EndNote: 84
Total article views: 3,788 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Feb 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,946 | 776 | 66 | 3,788 | 75 | 78 |
- HTML: 2,946
- PDF: 776
- XML: 66
- Total: 3,788
- BibTeX: 75
- EndNote: 78
Total article views: 872 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Oct 2019)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
335 | 535 | 2 | 872 | 7 | 6 |
- HTML: 335
- PDF: 535
- XML: 2
- Total: 872
- BibTeX: 7
- EndNote: 6
Viewed (geographical distribution)
Total article views: 4,660 (including HTML, PDF, and XML)
Thereof 4,280 with geography defined
and 380 with unknown origin.
Total article views: 3,788 (including HTML, PDF, and XML)
Thereof 3,554 with geography defined
and 234 with unknown origin.
Total article views: 872 (including HTML, PDF, and XML)
Thereof 726 with geography defined
and 146 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
86 citations as recorded by crossref.
- The Significant Contribution of Small-Sized and Spherical Aerosol Particles to the Decreasing Trend in Total Aerosol Optical Depth over Land from 2003 to 2018 K. Gui et al. 10.1016/j.eng.2021.05.017
- Spatially gap free analysis of aerosol type grids in China: First retrieval via satellite remote sensing and big data analytics K. Li et al. 10.1016/j.isprsjprs.2022.09.001
- 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
- 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
- A Multi-Angle Method for Simultaneous Retrieval of Aerosol Optical Depth and Bidirectional Reflectance Over Case II Waters Z. Han et al. 10.3389/fenvs.2022.900694
- Enhanced dust emission following large wildfires due to vegetation disturbance Y. Yu & P. Ginoux 10.1038/s41561-022-01046-6
- The Evolution of Icelandic Volcano Emissions, as Observed From Space in the Era of NASA's Earth Observing System (EOS) V. Flower & R. Kahn 10.1029/2019JD031625
- Long-term trends in Aerosol Optical Depth obtained across the globe using multi-satellite measurements G. Gupta et al. 10.1016/j.atmosenv.2022.118953
- Application of Bayesian Additive Regression Trees for Estimating Daily Concentrations of PM2.5 Components T. Zhang et al. 10.3390/atmos11111233
- Assessment of long-term particulate nitrate air pollution and its health risk in China Y. Hang et al. 10.1016/j.isci.2022.104899
- Disproving the Bodélé Depression as the Primary Source of Dust Fertilizing the Amazon Rainforest Y. Yu et al. 10.1029/2020GL088020
- Atmospheric elemental carbon pollution and its regional health disparities in China Y. Hang et al. 10.1088/1748-9326/ad0862
- How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies A. Sayer 10.1029/2020EA001290
- Diurnal time representation of MODIS, VIIRS, MISR, and AHI over Asia and Oceania Z. Yang et al. 10.1016/j.rse.2023.113878
- Evaluation of LaSRC aerosol optical depth from Landsat-8 and Sentinel-2 in Guangdong-Hong Kong-Macao greater bay area, China Y. Jin et al. 10.1016/j.atmosenv.2022.119128
- Extreme arid conditions: Association among soiling characteristics, transmittance loss and climatic conditions P. Tobosque et al. 10.1016/j.solener.2022.05.020
- Aerosol radiative forcings induced by substantial changes in anthropogenic emissions in China from 2008 to 2016 M. Liu & H. Matsui 10.5194/acp-21-5965-2021
- Assessment of the Spatial Structure of Black Carbon Concentrations in the Near-Surface Arctic Atmosphere E. Nagovitsyna et al. 10.3390/atmos14010139
- Unveiling global land fine- and coarse-mode aerosol dynamics from 2005 to 2020 using enhanced satellite-based monthly inversion data N. Luo et al. 10.1016/j.envpol.2024.123838
- Understanding processes that control dust spatial distributions with global climate models and satellite observations M. Wu et al. 10.5194/acp-20-13835-2020
- Substantial Underestimation of Fine-Mode Aerosol Loading from Wildfires and Its Radiative Effects in Current Satellite-Based Retrievals over the United States X. Yan et al. 10.1021/acs.est.4c02498
- Understanding Top‐of‐Atmosphere Flux Bias in the AeroCom Phase III Models: A Clear‐Sky Perspective W. Su et al. 10.1029/2021MS002584
- Retrieval uncertainty and consistency of Suomi-NPP VIIRS Deep Blue and Dark Target aerosol products under diverse aerosol loading scenarios over South Asia K. Aditi et al. 10.1016/j.envpol.2023.121913
- Using a New Top‐Down Constrained Emissions Inventory to Attribute the Previously Unknown Source of Extreme Aerosol Loadings Observed Annually in the Monsoon Asia Free Troposphere S. Wang et al. 10.1029/2021EF002167
- Extreme Aerosol Events Over Eastern North America: 1. Characterizing and Simulating Historical Events Y. Guo et al. 10.1029/2020JD033758
- A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia S. Jin et al. 10.5194/acp-23-8187-2023
- Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China M. Ali et al. 10.1016/j.atmosenv.2022.119297
- Aerosol characteristics from earth observation systems: A comprehensive investigation over South Asia (2000–2019) A. Mhawish et al. 10.1016/j.rse.2021.112410
- Influence of observation angle change on satellite retrieval of aerosol optical depth L. Chen et al. 10.1080/16000889.2021.1940758
- Introducing the MISR level 2 near real-time aerosol product M. Witek et al. 10.5194/amt-14-5577-2021
- 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
- The health impacts of Indonesian peatland fires L. Hein et al. 10.1186/s12940-022-00872-w
- 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 and Comparison of Spatio-Temporal Relationship between Multiple Satellite Aerosol Optical Depth (AOD) and Near-Surface PM2.5 Concentration over China Q. Xu et al. 10.3390/rs14225841
- A MAIA-like modeling framework to estimate PM2.5 mass and speciation concentrations with uncertainty Z. Jin et al. 10.1016/j.rse.2024.113995
- Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season Z. Lu et al. 10.3389/frsen.2021.766628
- Global trends in the aerosol optical, physical, and morphological properties obtained using multi-sensor measurements G. Gupta et al. 10.1016/j.atmosenv.2022.119569
- 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
- Climatology and trends of aerosol optical depth with different particle size and shape in northeast China from 2001 to 2018 H. Zhao et al. 10.1016/j.scitotenv.2020.142979
- Background noise model of spaceborne photon-counting lidars over oceans and aerosol optical depth retrieval from ICESat-2 noise data J. Yang et al. 10.1016/j.rse.2023.113858
- Probabilistic merging and verification of monthly gridded aerosol products D. Yang & C. Gueymard 10.1016/j.atmosenv.2020.118146
- National Civil Space Infrastructure Satellite Aerosol Product Validation Network (SIAVNET) measurements: Supporting satellite aerosol product validation for different surface types over China T. Cheng et al. 10.1016/j.atmosres.2022.106508
- A satellite-driven model to estimate long-term particulate sulfate levels and attributable mortality burden in China X. Meng et al. 10.1016/j.envint.2023.107740
- Deep Learning with Pretrained Framework Unleashes the Power of Satellite-Based Global Fine-Mode Aerosol Retrieval X. Yan et al. 10.1021/acs.est.4c02701
- Temporal evolution of aerosols and their extreme events in polluted Asian regions during Terra's 20-year observations Z. Hu et al. 10.1016/j.rse.2021.112541
- Aerosol Absorption Over Land Derived From the Ultra-Violet Aerosol Index by Deep Learning J. Sun et al. 10.1109/JSTARS.2021.3108669
- A global analysis of diurnal variability in dust and dust mixture using CATS observations Y. Yu et al. 10.5194/acp-21-1427-2021
- Assessing the contribution of the ENSO and MJO to Australian dust activity based on satellite- and ground-based observations Y. Yu & P. Ginoux 10.5194/acp-21-8511-2021
- Validation and Calibration of CAMS PM2.5 Forecasts Using In Situ PM2.5 Measurements in China and United States C. Wu et al. 10.3390/rs12223813
- Validation, Analysis, and Comparison of Misr V23 Aerosol Optical Depth Products with Modis and Aeronet Observations R. Fan et al. 10.2139/ssrn.4143337
- Inversion of Aerosol Optical Depth: Incorporating Multimodel Approach X. Sun et al. 10.1109/TGRS.2024.3397315
- Satellite Multi‐Angle Observations of Wildfire Smoke Plumes During the CalFiDE Field Campaign: Aerosol Plume Heights, Particle Property Evolution, and Aging Timescales K. Noyes & R. Kahn 10.1029/2023JD039041
- Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998–2018) M. Hammer et al. 10.1021/acs.est.0c01764
- Global evaluation of Fengyun-3 MERSI dark target aerosol retrievals over land L. Yang et al. 10.1080/17538947.2024.2344580
- Decreased dust particles amplify the cloud cooling effect by regulating cloud ice formation over the Tibetan Plateau J. Chen et al. 10.1126/sciadv.ado0885
- Aerosol climatology, variability, and trends over the Indo-Gangetic Plain in CMIP6 models K. Shukla et al. 10.1016/j.pce.2024.103693
- Application of Topological Data Analysis to Multi-Resolution Matching of Aerosol Optical Depth Maps D. Ofori-Boateng et al. 10.3389/fenvs.2021.684716
- Improving Aerosol Retrieval From MISR With a Physics-Informed Deep Learning Method W. Man et al. 10.1109/TGRS.2024.3376598
- The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China J. Wei et al. 10.1016/j.envint.2020.106290
- The new MISR research aerosol retrieval algorithm: a multi-angle, multi-spectral, bounded-variable least squares retrieval of aerosol particle properties over both land and water J. Limbacher et al. 10.5194/amt-15-6865-2022
- 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 global-scale analysis of the MISR Level-3 aerosol optical depth (AOD) product: Comparison with multi-platform AOD data sources K. Gui et al. 10.1016/j.apr.2021.101238
- Fengyun 4A Land Aerosol Retrieval: Algorithm Development, Validation, and Comparison With Other Datasets X. Su et al. 10.1109/TGRS.2023.3330544
- Effects of COVID-19 lockdowns on fine particulate matter concentrations M. Hammer et al. 10.1126/sciadv.abg7670
- Expanding the coverage of Multi-angle Imaging SpectroRadiometer (MISR) aerosol retrievals over shallow, turbid, and eutrophic waters R. Nelson et al. 10.5194/amt-16-4947-2023
- An intercomparison of SEMARA high-resolution AOD and MODIS operational AODs M. Bagherinia et al. 10.1016/j.apr.2023.102023
- A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches X. Yan et al. 10.5194/essd-14-1193-2022
- SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
- An Improved Aerosol Optical Depth Retrieval Algorithm for Multiangle Directional Polarimetric Camera (DPC) B. Ge et al. 10.3390/rs14164045
- Satellite-based, top-down approach for the adjustment of aerosol precursor emissions over East Asia: the TROPOspheric Monitoring Instrument (TROPOMI) NO2 product and the Geostationary Environment Monitoring Spectrometer (GEMS) aerosol optical depth (AOD) data fusion product and its proxy J. Park et al. 10.5194/amt-16-3039-2023
- Validation and Analysis of MISR and POLDER Aerosol Products over China S. Jiao et al. 10.3390/rs14153697
- Exploring the factors responsible for aerosol asymmetric trends over Indo-Gangetic Plain using remote sensing observations K. Shukla et al. 10.1016/j.jastp.2024.106220
- Evaluation and comparison of MODIS and MISR aerosol products with ground-based monitoring stations in the Amazon Basin V. Schumacher et al. 10.1016/j.atmosenv.2024.120597
- Seasonal distribution and vertical structure of different types of aerosols in southwest China observed from CALIOP T. Liao et al. 10.1016/j.atmosenv.2020.118145
- Investigating the long-term trends in aerosol optical depth and its association with meteorological parameters and enhanced vegetation index over Turkey Ö. Zeydan et al. 10.1007/s11356-022-23553-0
- Validation, inter-comparison, and usage recommendation of six latest VIIRS and MODIS aerosol products over the ocean and land on the global and regional scales X. Su et al. 10.1016/j.scitotenv.2023.163794
- Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 1: Climatology and trend P. Xian et al. 10.5194/acp-22-9915-2022
- Fusion of Multisource Satellite AOD Products via Bayesian Maximum Entropy With Explicit A Priori Knowledge H. Zhu et al. 10.1109/TGRS.2023.3285943
- 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
- Analysis of simultaneous aerosol and ocean glint retrieval using multi-angle observations K. Knobelspiesse et al. 10.5194/amt-14-3233-2021
- Using Multi-Platform Satellite Observations to Study the Atmospheric Evolution of Brown Carbon in Siberian Biomass Burning Plumes I. Konovalov et al. 10.3390/rs14112625
- Aerosol profiling using radiometric and polarimetric spectral measurements in the O2 near infrared bands: Estimation of information content and measurement uncertainties M. Choi et al. 10.1016/j.rse.2020.112179
- A surface reflectance correction model to improve the retrieval of MISR aerosol optical depth supported by MODIS data L. Chen et al. 10.1016/j.asr.2020.10.033
- Characteristics of the Spatio-Temporal Dynamics of Aerosols in Central Asia and Their Influencing Factors Y. Zhou et al. 10.3390/rs14112684
- Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
- Spatiotemporal Characteristics of the Association between AOD and PM over the California Central Valley M. Sorek-Hamer et al. 10.3390/rs12040685
84 citations as recorded by crossref.
- The Significant Contribution of Small-Sized and Spherical Aerosol Particles to the Decreasing Trend in Total Aerosol Optical Depth over Land from 2003 to 2018 K. Gui et al. 10.1016/j.eng.2021.05.017
- Spatially gap free analysis of aerosol type grids in China: First retrieval via satellite remote sensing and big data analytics K. Li et al. 10.1016/j.isprsjprs.2022.09.001
- 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
- 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
- A Multi-Angle Method for Simultaneous Retrieval of Aerosol Optical Depth and Bidirectional Reflectance Over Case II Waters Z. Han et al. 10.3389/fenvs.2022.900694
- Enhanced dust emission following large wildfires due to vegetation disturbance Y. Yu & P. Ginoux 10.1038/s41561-022-01046-6
- The Evolution of Icelandic Volcano Emissions, as Observed From Space in the Era of NASA's Earth Observing System (EOS) V. Flower & R. Kahn 10.1029/2019JD031625
- Long-term trends in Aerosol Optical Depth obtained across the globe using multi-satellite measurements G. Gupta et al. 10.1016/j.atmosenv.2022.118953
- Application of Bayesian Additive Regression Trees for Estimating Daily Concentrations of PM2.5 Components T. Zhang et al. 10.3390/atmos11111233
- Assessment of long-term particulate nitrate air pollution and its health risk in China Y. Hang et al. 10.1016/j.isci.2022.104899
- Disproving the Bodélé Depression as the Primary Source of Dust Fertilizing the Amazon Rainforest Y. Yu et al. 10.1029/2020GL088020
- Atmospheric elemental carbon pollution and its regional health disparities in China Y. Hang et al. 10.1088/1748-9326/ad0862
- How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies A. Sayer 10.1029/2020EA001290
- Diurnal time representation of MODIS, VIIRS, MISR, and AHI over Asia and Oceania Z. Yang et al. 10.1016/j.rse.2023.113878
- Evaluation of LaSRC aerosol optical depth from Landsat-8 and Sentinel-2 in Guangdong-Hong Kong-Macao greater bay area, China Y. Jin et al. 10.1016/j.atmosenv.2022.119128
- Extreme arid conditions: Association among soiling characteristics, transmittance loss and climatic conditions P. Tobosque et al. 10.1016/j.solener.2022.05.020
- Aerosol radiative forcings induced by substantial changes in anthropogenic emissions in China from 2008 to 2016 M. Liu & H. Matsui 10.5194/acp-21-5965-2021
- Assessment of the Spatial Structure of Black Carbon Concentrations in the Near-Surface Arctic Atmosphere E. Nagovitsyna et al. 10.3390/atmos14010139
- Unveiling global land fine- and coarse-mode aerosol dynamics from 2005 to 2020 using enhanced satellite-based monthly inversion data N. Luo et al. 10.1016/j.envpol.2024.123838
- Understanding processes that control dust spatial distributions with global climate models and satellite observations M. Wu et al. 10.5194/acp-20-13835-2020
- Substantial Underestimation of Fine-Mode Aerosol Loading from Wildfires and Its Radiative Effects in Current Satellite-Based Retrievals over the United States X. Yan et al. 10.1021/acs.est.4c02498
- Understanding Top‐of‐Atmosphere Flux Bias in the AeroCom Phase III Models: A Clear‐Sky Perspective W. Su et al. 10.1029/2021MS002584
- Retrieval uncertainty and consistency of Suomi-NPP VIIRS Deep Blue and Dark Target aerosol products under diverse aerosol loading scenarios over South Asia K. Aditi et al. 10.1016/j.envpol.2023.121913
- Using a New Top‐Down Constrained Emissions Inventory to Attribute the Previously Unknown Source of Extreme Aerosol Loadings Observed Annually in the Monsoon Asia Free Troposphere S. Wang et al. 10.1029/2021EF002167
- Extreme Aerosol Events Over Eastern North America: 1. Characterizing and Simulating Historical Events Y. Guo et al. 10.1029/2020JD033758
- A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia S. Jin et al. 10.5194/acp-23-8187-2023
- Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China M. Ali et al. 10.1016/j.atmosenv.2022.119297
- Aerosol characteristics from earth observation systems: A comprehensive investigation over South Asia (2000–2019) A. Mhawish et al. 10.1016/j.rse.2021.112410
- Influence of observation angle change on satellite retrieval of aerosol optical depth L. Chen et al. 10.1080/16000889.2021.1940758
- Introducing the MISR level 2 near real-time aerosol product M. Witek et al. 10.5194/amt-14-5577-2021
- 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
- The health impacts of Indonesian peatland fires L. Hein et al. 10.1186/s12940-022-00872-w
- 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 and Comparison of Spatio-Temporal Relationship between Multiple Satellite Aerosol Optical Depth (AOD) and Near-Surface PM2.5 Concentration over China Q. Xu et al. 10.3390/rs14225841
- A MAIA-like modeling framework to estimate PM2.5 mass and speciation concentrations with uncertainty Z. Jin et al. 10.1016/j.rse.2024.113995
- Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season Z. Lu et al. 10.3389/frsen.2021.766628
- Global trends in the aerosol optical, physical, and morphological properties obtained using multi-sensor measurements G. Gupta et al. 10.1016/j.atmosenv.2022.119569
- 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
- Climatology and trends of aerosol optical depth with different particle size and shape in northeast China from 2001 to 2018 H. Zhao et al. 10.1016/j.scitotenv.2020.142979
- Background noise model of spaceborne photon-counting lidars over oceans and aerosol optical depth retrieval from ICESat-2 noise data J. Yang et al. 10.1016/j.rse.2023.113858
- Probabilistic merging and verification of monthly gridded aerosol products D. Yang & C. Gueymard 10.1016/j.atmosenv.2020.118146
- National Civil Space Infrastructure Satellite Aerosol Product Validation Network (SIAVNET) measurements: Supporting satellite aerosol product validation for different surface types over China T. Cheng et al. 10.1016/j.atmosres.2022.106508
- A satellite-driven model to estimate long-term particulate sulfate levels and attributable mortality burden in China X. Meng et al. 10.1016/j.envint.2023.107740
- Deep Learning with Pretrained Framework Unleashes the Power of Satellite-Based Global Fine-Mode Aerosol Retrieval X. Yan et al. 10.1021/acs.est.4c02701
- Temporal evolution of aerosols and their extreme events in polluted Asian regions during Terra's 20-year observations Z. Hu et al. 10.1016/j.rse.2021.112541
- Aerosol Absorption Over Land Derived From the Ultra-Violet Aerosol Index by Deep Learning J. Sun et al. 10.1109/JSTARS.2021.3108669
- A global analysis of diurnal variability in dust and dust mixture using CATS observations Y. Yu et al. 10.5194/acp-21-1427-2021
- Assessing the contribution of the ENSO and MJO to Australian dust activity based on satellite- and ground-based observations Y. Yu & P. Ginoux 10.5194/acp-21-8511-2021
- Validation and Calibration of CAMS PM2.5 Forecasts Using In Situ PM2.5 Measurements in China and United States C. Wu et al. 10.3390/rs12223813
- Validation, Analysis, and Comparison of Misr V23 Aerosol Optical Depth Products with Modis and Aeronet Observations R. Fan et al. 10.2139/ssrn.4143337
- Inversion of Aerosol Optical Depth: Incorporating Multimodel Approach X. Sun et al. 10.1109/TGRS.2024.3397315
- Satellite Multi‐Angle Observations of Wildfire Smoke Plumes During the CalFiDE Field Campaign: Aerosol Plume Heights, Particle Property Evolution, and Aging Timescales K. Noyes & R. Kahn 10.1029/2023JD039041
- Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998–2018) M. Hammer et al. 10.1021/acs.est.0c01764
- Global evaluation of Fengyun-3 MERSI dark target aerosol retrievals over land L. Yang et al. 10.1080/17538947.2024.2344580
- Decreased dust particles amplify the cloud cooling effect by regulating cloud ice formation over the Tibetan Plateau J. Chen et al. 10.1126/sciadv.ado0885
- Aerosol climatology, variability, and trends over the Indo-Gangetic Plain in CMIP6 models K. Shukla et al. 10.1016/j.pce.2024.103693
- Application of Topological Data Analysis to Multi-Resolution Matching of Aerosol Optical Depth Maps D. Ofori-Boateng et al. 10.3389/fenvs.2021.684716
- Improving Aerosol Retrieval From MISR With a Physics-Informed Deep Learning Method W. Man et al. 10.1109/TGRS.2024.3376598
- The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China J. Wei et al. 10.1016/j.envint.2020.106290
- The new MISR research aerosol retrieval algorithm: a multi-angle, multi-spectral, bounded-variable least squares retrieval of aerosol particle properties over both land and water J. Limbacher et al. 10.5194/amt-15-6865-2022
- 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 global-scale analysis of the MISR Level-3 aerosol optical depth (AOD) product: Comparison with multi-platform AOD data sources K. Gui et al. 10.1016/j.apr.2021.101238
- Fengyun 4A Land Aerosol Retrieval: Algorithm Development, Validation, and Comparison With Other Datasets X. Su et al. 10.1109/TGRS.2023.3330544
- Effects of COVID-19 lockdowns on fine particulate matter concentrations M. Hammer et al. 10.1126/sciadv.abg7670
- Expanding the coverage of Multi-angle Imaging SpectroRadiometer (MISR) aerosol retrievals over shallow, turbid, and eutrophic waters R. Nelson et al. 10.5194/amt-16-4947-2023
- An intercomparison of SEMARA high-resolution AOD and MODIS operational AODs M. Bagherinia et al. 10.1016/j.apr.2023.102023
- A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches X. Yan et al. 10.5194/essd-14-1193-2022
- SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
- An Improved Aerosol Optical Depth Retrieval Algorithm for Multiangle Directional Polarimetric Camera (DPC) B. Ge et al. 10.3390/rs14164045
- Satellite-based, top-down approach for the adjustment of aerosol precursor emissions over East Asia: the TROPOspheric Monitoring Instrument (TROPOMI) NO2 product and the Geostationary Environment Monitoring Spectrometer (GEMS) aerosol optical depth (AOD) data fusion product and its proxy J. Park et al. 10.5194/amt-16-3039-2023
- Validation and Analysis of MISR and POLDER Aerosol Products over China S. Jiao et al. 10.3390/rs14153697
- Exploring the factors responsible for aerosol asymmetric trends over Indo-Gangetic Plain using remote sensing observations K. Shukla et al. 10.1016/j.jastp.2024.106220
- Evaluation and comparison of MODIS and MISR aerosol products with ground-based monitoring stations in the Amazon Basin V. Schumacher et al. 10.1016/j.atmosenv.2024.120597
- Seasonal distribution and vertical structure of different types of aerosols in southwest China observed from CALIOP T. Liao et al. 10.1016/j.atmosenv.2020.118145
- Investigating the long-term trends in aerosol optical depth and its association with meteorological parameters and enhanced vegetation index over Turkey Ö. Zeydan et al. 10.1007/s11356-022-23553-0
- Validation, inter-comparison, and usage recommendation of six latest VIIRS and MODIS aerosol products over the ocean and land on the global and regional scales X. Su et al. 10.1016/j.scitotenv.2023.163794
- Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 1: Climatology and trend P. Xian et al. 10.5194/acp-22-9915-2022
- Fusion of Multisource Satellite AOD Products via Bayesian Maximum Entropy With Explicit A Priori Knowledge H. Zhu et al. 10.1109/TGRS.2023.3285943
- 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
- Analysis of simultaneous aerosol and ocean glint retrieval using multi-angle observations K. Knobelspiesse et al. 10.5194/amt-14-3233-2021
- Using Multi-Platform Satellite Observations to Study the Atmospheric Evolution of Brown Carbon in Siberian Biomass Burning Plumes I. Konovalov et al. 10.3390/rs14112625
- Aerosol profiling using radiometric and polarimetric spectral measurements in the O2 near infrared bands: Estimation of information content and measurement uncertainties M. Choi et al. 10.1016/j.rse.2020.112179
- A surface reflectance correction model to improve the retrieval of MISR aerosol optical depth supported by MODIS data L. Chen et al. 10.1016/j.asr.2020.10.033
- Characteristics of the Spatio-Temporal Dynamics of Aerosols in Central Asia and Their Influencing Factors Y. Zhou et al. 10.3390/rs14112684
2 citations as recorded by crossref.
Latest update: 02 Nov 2024
Short summary
The Multi-angle Imaging SpectroRadiometer (MISR) instrument has been operational since early 2000, creating an extensive data set of global Earth observations. Here we introduce the latest version (V23) of the MISR aerosol products, which is reported on a 4.4 km spatial grid and contains retrieved aerosol optical depth and aerosol particle property information derived over both land and water. The changes implemented in V23 have significant impacts on the data product and its interpretation.
The Multi-angle Imaging SpectroRadiometer (MISR) instrument has been operational since early...