Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record
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Woogyung V. Kim | Dong Huang | A. Lyapustin | N. C. Hsu | A. Sayer | D. Winker | O. Dubovik | Jaehwa Lee | J. Tackett | P. Litvinov | Steven T. Dutcher | D. Huang
[1] T. Eck,et al. Spectral discrimination of coarse and fine mode optical depth , 2003 .
[2] Jianglong Zhang,et al. Minimum aerosol layer detection sensitivities and their subsequent impacts on aerosol optical thickness retrievals in CALIPSO level 2 data products. , 2017, Atmospheric measurement techniques.
[3] Alexander Smirnov,et al. Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network , 2010 .
[4] Yoram J. Kaufman,et al. An Emerging Global Aerosol Climatology from the MODIS Satellite Sensors , 2008 .
[5] J. Randerson,et al. Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997-2009) , 2010 .
[6] Jin Huang,et al. Enhanced Deep Blue aerosol retrieval algorithm: The second generation , 2013 .
[7] Lorraine Remer,et al. A critical examination of the residual cloud contamination and diurnal sampling effects on MODIS estimates of aerosol over ocean , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[8] Mark A. Vaughan,et al. The Retrieval of Profiles of Particulate Extinction from Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) Data: Algorithm Description , 2009 .
[9] Barbara J. Gaitley,et al. An analysis of global aerosol type as retrieved by MISR , 2015 .
[10] Michael Schulz,et al. Will a perfect model agree with perfect observations? The impact of spatial sampling , 2016 .
[11] C. Zerefos,et al. Interannual variability of cirrus clouds in the tropics in El Niño Southern Oscillation (ENSO) regions based on International Satellite Cloud Climatology Project (ISCCP) satellite data , 2011 .
[12] T. Eck,et al. Modified angström exponent for the characterization of submicrometer aerosols. , 2001, Applied optics.
[13] Alexander Smirnov,et al. Cloud-Screening and Quality Control Algorithms for the AERONET Database , 2000 .
[14] Michael D. King,et al. A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements , 2000 .
[15] D. Winker,et al. Seasonally transported aerosol layers over southeast Atlantic are closer to underlying clouds than previously reported , 2017, Geophysical research letters.
[16] J. Kar,et al. Evaluation of CALIOP 532 nm aerosol optical depth over opaque water clouds , 2015 .
[17] Alexander Smirnov,et al. SeaWiFS Ocean Aerosol Retrieval (SOAR): Algorithm, validation, and comparison with other data sets , 2012 .
[18] Oleg Dubovik,et al. Angstrom exponent and bimodal aerosol size distributions , 2006 .
[19] Anne Garnier,et al. Extinction and optical depth retrievals for CALIPSO's Version 4 data release , 2018, Atmospheric Measurement Techniques.
[20] Clive D Rodgers,et al. Inverse Methods for Atmospheric Sounding: Theory and Practice , 2000 .
[21] Michael J. Garay,et al. New approach to the retrieval of AOD and its uncertainty from MISR observations over dark water , 2017 .
[22] Zhanqing Li,et al. Quality, compatibility, and synergy analyses of global aerosol products derived from the advanced very high resolution radiometer and Total Ozone Mapping Spectrometer , 2005, Journal of Geophysical Research.
[23] N. C. Hsu,et al. Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements , 2017, Journal of geophysical research. Atmospheres : JGR.
[24] David M. Winker,et al. Investigating enhanced Aqua MODIS aerosol optical depth retrievals over the mid‐to‐high latitude Southern Oceans through intercomparison with co‐located CALIOP, MAN, and AERONET data sets , 2013 .
[25] Ana Maria Silva,et al. Some considerations about Ångström exponent distributions , 2007 .
[26] Jean-François Léon,et al. Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust , 2006 .
[27] S. Stehman,et al. Accuracy Assessment , 2003 .
[28] Alexander Smirnov,et al. A Pure Marine Aerosol Model, for Use in Remote Sensing Applications , 2012 .
[29] N. C. Hsu,et al. AERONET‐Based Nonspherical Dust Optical Models and Effects on the VIIRS Deep Blue/SOAR Over Water Aerosol Product , 2017, Journal of geophysical research. Atmospheres : JGR.
[30] Soo Chin Liew,et al. Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program , 2013 .
[31] Yong Xue,et al. Development, Production and Evaluation of Aerosol Climate Data Records from European Satellite Observations (Aerosol_cci) , 2016, Remote. Sens..
[32] Andrew M. Sayer,et al. Validation and uncertainty estimates for MODIS Collection 6 “Deep Blue” aerosol data , 2013 .
[33] Yujie Wang,et al. Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm , 2011 .
[34] A. Smirnov,et al. AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .
[35] Menghua Wang,et al. Uncertainties in satellite remote sensing of aerosols and impact on monitoring its long-term trend: a review and perspective , 2009 .
[36] B. Holben,et al. An Accuracy Assessment of the CALIOP/CALIPSO Version 2/Version 3 Daytime Aerosol Extinction Product Based on a Detailed Multi-Sensor, Multi-Platform Case Study , 2011 .
[37] T. Eck,et al. Characterizing the 2015 Indonesia Fire Event Using Modified MODIS Aerosol Retrievals , 2018 .
[38] Roy G. Grainger,et al. A sea surface reflectance model for (A)ATSR, and application to aerosol retrievals , 2010 .
[39] M. Chin,et al. Biomass burning aerosol transport and vertical distribution over the South African‐Atlantic region , 2017 .
[40] T. Eck,et al. Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements , 2000 .
[41] F. D’Ortenzio,et al. The colour of the Mediterranean Sea: Global versus regional bio-optical algorithms evaluation and implication for satellite chlorophyll estimates , 2007 .
[42] Didier Tanré,et al. Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations , 2010 .
[43] A. Nenes,et al. Effects of Ocean Ecosystem on Marine Aerosol-Cloud Interaction , 2010 .
[44] Bernard Pinty,et al. Techniques for the retrieval of aerosol properties over land and ocean using multiangle imaging , 1998, IEEE Trans. Geosci. Remote. Sens..
[45] Joseph M. Prospero,et al. Characterizing the annual cycle of African dust transport to the Caribbean Basin and South America and its impact on the environment and air quality , 2014 .
[46] Alexei Lyapustin,et al. Earth Observations from DSCOVR/EPIC Instrument. , 2018, Bulletin of the American Meteorological Society.
[47] B. Martinsson,et al. Volcanic impact on the climate – the stratospheric aerosol load in the period 2006–2015 , 2018, Atmospheric Chemistry and Physics.
[48] Lorraine A. Remer,et al. Suomi‐NPP VIIRS aerosol algorithms and data products , 2013 .
[49] Andrew K. Heidinger,et al. A global survey of the effect of cloud contamination on the aerosol optical thickness and its long‐term trend derived from operational AVHRR satellite observations , 2013 .
[50] T. Marbach,et al. The 3MI mission: multi-viewing-channel-polarisation imager of the EUMETSAT polar system: second generation (EPS-SG) dedicated to aerosol and cloud monitoring , 2015, SPIE Optical Engineering + Applications.
[51] Xavier Briottet,et al. Results of POLDER in-flight calibration , 1999, IEEE Trans. Geosci. Remote. Sens..
[52] Steffen Beirle,et al. A global aerosol classification algorithm incorporating multiple satellite data sets of aerosol and trace gas abundances , 2015 .
[53] S. Piketh,et al. A seasonal trend of single scattering albedo in southern African biomass‐burning particles: Implications for satellite products and estimates of emissions for the world's largest biomass‐burning source , 2013 .
[54] Yujie Wang,et al. Exploring systematic offsets between aerosol products from the two MODIS sensors. , 2018, Atmospheric measurement techniques.
[55] Robert E. Holz,et al. Towards a long-term global aerosol optical depth record: applying a consistent aerosol retrieval algorithm to MODIS and VIIRS-observed reflectance , 2015 .
[56] Yujie Wang,et al. Exploring systematic offsets between aerosol products from the two MODIS sensors. , 2018, Atmospheric measurement techniques.
[57] M. Schulz,et al. On the spatio-temporal representativeness of observations , 2017 .
[58] A. J. Miller,et al. Factors affecting the detection of trends: Statistical considerations and applications to environmental data , 1998 .
[59] Sara Basart,et al. Status and future of numerical atmospheric aerosol prediction with a focus on data requirements , 2018, Atmospheric Chemistry and Physics.
[60] A. Kokhanovsky,et al. Satellite Aerosol Remote Sensing Over Land , 2009 .
[61] D. Tanré,et al. Remote sensing of aerosol properties over oceans using the MODIS/EOS spectral radiances , 1997 .
[62] T. Eck,et al. AERONET-based models of smoke-dominated aerosol near source regions and transported over oceans, and implications for satellite retrievals of aerosol optical depth , 2014 .
[63] David M. Winker,et al. The CALIPSO Version 4 Automated Aerosol Classification and Lidar Ratio Selection Algorithm. , 2018, Atmospheric measurement techniques.
[64] Oleg Dubovik,et al. GRASP: a versatile algorithm for characterizing the atmosphere , 2014 .
[65] N. C. Hsu,et al. Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S‐NPP VIIRS as Part of the “Deep Blue” Aerosol Project , 2018, Journal of geophysical research. Atmospheres : JGR.
[66] M. Chin,et al. Online simulations of global aerosol distributions in the NASA GEOS‐4 model and comparisons to satellite and ground‐based aerosol optical depth , 2010 .
[67] D. Winker,et al. The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm , 2009 .
[68] Zhaoyan Liu,et al. CALIPSO Lidar Calibration at 532 nm: Version 4 Nighttime Algorithm. , 2018, Atmospheric measurement techniques.
[69] Edith Rodriguez,et al. Collocation mismatch uncertainties in satellite aerosol retrieval validation , 2017 .
[70] Yan Yu,et al. How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? , 2018, Remote. Sens..
[71] Otto P. Hasekamp,et al. Retrieval of aerosol properties over the ocean from multispectral single‐viewing‐angle measurements of intensity and polarization: Retrieval approach, information content, and sensitivity study , 2005 .
[72] T. Eck,et al. Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols , 1999 .
[73] T. Eck,et al. A review of biomass burning emissions part III: intensive optical properties of biomass burning particles , 2004 .
[74] Johannes Quaas,et al. Estimates of aerosol radiative forcing from the MACC re-analysis , 2012 .
[75] E. Fetzer,et al. Indonesian fire activity and smoke pollution in 2015 show persistent nonlinear sensitivity to El Niño-induced drought , 2016, Proceedings of the National Academy of Sciences.
[76] Brent N. Holben,et al. Retrieving near‐global aerosol loading over land and ocean from AVHRR , 2017 .
[77] T. Eck,et al. Comparison of Moderate Resolution Imaging Spectroradiometer (MODIS) and Aerosol Robotic Network (AERONET) remote-sensing retrievals of aerosol fine mode fraction over ocean , 2005 .
[78] David M. Winker,et al. CALIPSO lidar level 3 aerosol profile product: version 3 algorithm design , 2018, Atmospheric measurement techniques.
[79] G. Mann,et al. Large contribution of natural aerosols to uncertainty in indirect forcing , 2013, Nature.
[80] Brent N. Holben,et al. An analysis of the collection 5 MODIS over-ocean aerosol optical depth product for its implication in aerosol assimilation , 2010 .
[81] Roy G. Grainger,et al. Some implications of sampling choices on comparisons between satellite and model aerosol optical depth fields , 2010 .
[82] Matthew S. Johnson,et al. A multiparameter aerosol classification method and its application to retrievals from spaceborne polarimetry , 2014 .
[83] Ralph A. Kahn,et al. Detecting Thin Cirrus in Multiangle Imaging Spectroradiometer Aerosol Retrievals , 2010 .
[84] Amit Angal,et al. Terra and Aqua moderate-resolution imaging spectroradiometer collection 6 level 1B algorithm , 2013 .
[85] M. Deeter,et al. Satellite-observed pollution from Southern Hemisphere biomass burning. , 2006 .
[86] Robin J. Leatherbarrow,et al. On to the second generation , 1990, Nature.
[87] Alexander Smirnov,et al. Maritime Aerosol Network as a component of Aerosol Robotic Network , 2009 .
[88] G. McFarquhar,et al. Thin and Subvisual Tropopause Tropical Cirrus: Observations and Radiative Impacts , 2000 .
[89] Lawrence E. Flynn,et al. How long do satellites need to overlap? Evaluation of climate data stability from overlapping satellite records , 2017 .
[90] Seasonally Transported Aerosol Layers over Southeast Atlantic , 2017 .
[91] L. Remer,et al. The Collection 6 MODIS aerosol products over land and ocean , 2013 .
[92] Didier Tanré,et al. Aerosol Remote Sensing , 2013 .
[93] Robert C. Levy,et al. Correcting for trace gas absorption when retrieving aerosol optical depth from satellite observations of reflected shortwave radiation , 2018, Atmospheric Measurement Techniques.
[94] D. Winker,et al. Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms , 2009 .
[95] N. C. Hsu,et al. Cross-calibration of S-NPP VIIRS moderate resolution reflective solar bands against MODIS Aqua over dark water scenes. , 2017, Atmospheric measurement techniques.
[96] B. Holben,et al. A spatio‐temporal approach for global validation and analysis of MODIS aerosol products , 2002 .
[97] Jeffrey S. Reid,et al. MODIS aerosol product analysis for data assimilation: Assessment of over‐ocean level 2 aerosol optical thickness retrievals , 2006 .
[98] B. Holben,et al. Estimating Marine Aerosol Particle Volume and Number from Maritime Aerosol Network Data , 2012 .
[99] N. C. Hsu,et al. Retrieval of aerosol optical depth under thin cirrus from MODIS: Application to an ocean algorithm , 2013 .