A007
Advances of Atmospheric Remote Sensing Inversion

Session ID#: 156600

Session Description:
Radiation measurements from satellites, aircraft and the ground have been successfully employed for characterizing radiative properties of aerosols, clouds, atmospheric gases, land, and ocean. One of the challenges is the development of a reliable procedure for inversion of the observations. This session is dedicated to unite works emphasizing the various aspects of numerical inversion that improve quantitatively and/or qualitatively the retrieved atmospheric products. The contributions are expected to address such important attributes of inversion as optimum accounting for errors in the data, inverting multi-source data, utilizing a priori information, inverse modeling and data assimilation, retrieval error estimations, and retrieval acceleration. Development of forward radiative transfer models to improve retrieval is also welcome. We encourage explorations of new retrieval concept and improved products such as aerosol types and profiles, surface particulate matter, trace gas, clouds, and land and ocean properties for existing and next generation of satellite missions and ground-based networks. 
Index Terms:

0305 Aerosols and particles [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0321 Cloud/radiation interaction [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0360 Radiation: transmission and scattering [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0394 Instruments and techniques [ATMOSPHERIC COMPOSITION AND STRUCTURE]

Primary Liaison:  Feng Xu, University of Oklahoma Norman Campus, School of Meteorology, Norman, OK, United States
Primary Convener:  Oleg Dubovik, University of Lille 1, Villeneuve d'Ascq, France
Convener:  Feng Xu, University of Oklahoma, School of Meteorology, Norman, OK, United States
 
An assessment of the effectiveness of multi-angle polarimeter aerosol retrievals based on data from the CAMP2Ex field campaign (1112633)
Anin Puthukkudy1,2, Reed Espinosa3, Jeffrey S. Reid4, Jian Wang5, Qian Xiao6, Luke D Ziemba7, Oleg Dubovik8 and Jose Vanderlei Martins2,9, (1)Goddard Earth Sciences Technology and Research II, UMBC, Physics, Baltimore, United States, (2)Earth and Space Institute, UMBC, Baltimore, United States, (3)NASA Goddard Space Flight Center, Greenbelt, United States, (4)Naval Research Laboratory, Marine Meteorology Division, Monterey, United States, (5)Washington University in St. Louis, Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, St. Louis, United States, (6)Washington University in St Louis, Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, St. Louis, United States, (7)NASA Langley Research Center, Hampton, VA, United States, (8)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, (9)University of Maryland Baltimore County, Department of Physics, Earth and Space Institute, GESTAR-II, Baltimore, United States
 
A Markov chain model for polarized radiative transfer in the thermal infrared and application in dust particle inversion (1115869)
Feng Xu1, Reed Espinosa2, Benting Chen3, Olga V. Kalashnikova4, Lan Gao5, Michael J Garay6, Jens Redemann5, Oleg Dubovik7 and Zhao-Cheng Zeng8, (1)University of Oklahoma Norman Campus, School of Meteorology, Norman, OK, United States, (2)Joint Center for Earth Systems Technology, UMBC, Baltimore, United States, (3)University of Oklahoma, Norman, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (5)University of Oklahoma, School of Meteorology, Norman, United States, (6)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (7)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, LIlle, France, (8)Jet Propulsion Laboratory, Pasadena, CA, United States
 
Improving aerosol and ocean color joint retrieval uncertainties through optimizing bio-optical models (1115929)
Neranga Prasadi Kaluappuwa Hannadige1, Pengwang Zhai2, Meng Gao3, Yongxiang Hu4, Jeremy Werdell5, Kirk D Knobelspiesse5, Brian Cairns6 and Jose Vanderlei Martins7, (1)University of Maryland Baltimore County, Baltimore, MD, United States, (2)Joint Center for Earth System Technology, Department of Physics, University of Maryland Baltimore County, Baltimore, United States, (3)SSAI, NASA Goddard Space Flight Center, Greenbelt, United States, (4)NASA Langley Research Center, Hampton, United States, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (6)NASA Goddard Institute for Space Studies, New York, NY, United States, (7)Earth and Space Institute, UMBC, Baltimore, United States
 
Increasing the accuracy of MISR AOD retrievals over land at high aerosol loading (1116815)
Marcin L Witek1, Michael J Garay2, Robert R Nelson2, Michael A Bull1, David J Diner3, James Limbacher4 and Ralph Kahn5, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)Climate and Radiation Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Improved Aerosol Retrieval for Himawari-8/AHI using GRASP algorithm (1118369)
Chong LI1, Oleg Dubovik2, Jing Li3, David Fuertes4, Anton Lopatin4, Pavel Lytvynov4, Tatyana Lapyonok5, Lukas Bindreiter6 and Christian Matar4, (1)GRASP SAS, Lezennes, France, (2)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, LIlle, France, (3)Peking University, Department of Atmospheric and Oceanic Sciences, Beijing, China, (4)GRASP SAS, Remote Sensing Developments, Lille, France, (5)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, (6)Cloudflight GmbH, Linz, Austria
 
An Correlation-based Inversion Method for Aerosol Remote Sensing and Test Using AERONET and POLDER Measurements (1122747)
Taozhong Huang1, Feng Xu2, Jens Redemann3, Lan Gao3, Meng Gao4 and Oleg Dubovik5, (1)The University of Oklahoma, School of Meteorology, Norman, OK, United States, (2)University of Oklahoma, School of Meteorology, Norman, OK, United States, (3)University of Oklahoma, School of Meteorology, Norman, United States, (4)SSAI, NASA Goddard Space Flight Center, Greenbelt, United States, (5)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, LIlle, France
 
A Coupled Deep Learning Model for Estimating Surface NO2 Levels from Remote Sensing Data: 15-Year Study Over the Contiguous United States (1127191)
Masoud Ghahremanloo, University of Houston, Houston, United States, Yannic Lops, Lawrence Livermore National Laboratory, Livermore, United States and Yunsoo Choi, University of Houston, Houston, TX, United States
 
Multi-Angle Imager for Aerosols (MAIA) Level-2 Aerosol Inversion Algorithm Testing Using AirMSPI and POLDER Measurements (1133711)
Benting Chen1, Feng Xu2, Olga V. Kalashnikova3, David J Diner3, James McDuffie4 and Oleg Dubovik5, (1)University of Oklahoma, Norman, United States, (2)University of Oklahoma, School of Meteorology, Norman, OK, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (5)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, LIlle, France
 
The 2Stream-Exact Single Scattering (2S-ESS) Radiative Transfer Model (1134365)
Vijay Natraj1, Robert J D Spurr2, Andrew Gao3, Tianhao Le4, Zhao-Cheng Zeng5, Siteng Fan3 and Yuk L Yung6, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Rt Solutions Inc., Cambridge, United States, (3)Peking University, Beijing, China, (4)JPL/NASA/Caltech, Pasadena, CA, United States, (5)Peking University, School of Earth and Space Sciences, Beijing, China, (6)California Institute of Technology, Division of Geological and Planetary Sciences, Pasadena, CA, United States
 
Accurate BRDF Correction Factor Prediction Model Using Neural Network for Ocean Waters (1134919)
Kamal Aryal1,2, Pengwang Zhai1, Bryan A Franz3, Amir Ibrahim4, Jeremy Werdell4 and Yongxiang Hu5, (1)University of Maryland Baltimore County, Baltimore, MD, United States, (2)Goddard Earth Sciences Technology and Research II, Baltimore, United States, (3)NASA Goddard Space Flight Center, Greenbelt, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)NASA Langley Research Center, Hampton, United States
 
Optical Properties and Jacobians of Non-spherical and Inhomogeneous Aerosols: A Combination of the T-matrix Method and Machine Learning (1139662)
Lei Bi1, Wushao Lin2, Jinhe Yu1 and Zheng Wang1, (1)Zhejiang University, Hangzhou, China, (2)Zhejiang University, School of Earth Sciences, Hangzhou, China
 
Application of deep-learning based super-resolution technique for land surface temperature products from geostationary satellite observations. (1141180)
Sewoong Ahn, Yeji Choi, Hyemi Jeong and Myeongju Ok, SI Analytics, GeoAI Research Center, Daejeon, South Korea
 
Contribution to the wavelength dependence of solar aureole by using long-term record of aerosol optical properties (1141362)
Kazuma Aoki, University of Toyama, Graduate School of Science and Engineering, Toyama, Japan
 
Surface Validation Dataset in Worldwide Locations Based on the Synergetic Retrieval from Satellite and Ground Based Measurements (1144392)
Pavel Lytvynov1, Oleg Dubovik2, Cheng Chen1, Christian Matar1, David Fuertes1, Siyao Zhai1, Benjamin Torres3, Juan-Carlos Antuna-Sanchez1, Anton Lopatin1, Tatyana Lapyonok3, Manuel Dornacher4, Verena Lanzinger4, Lukas Bindreiter4, Andreas Hangler4, Michael Aspetsberger4, Christian Retscher5, Alexandru Dandocsi5, Daniele Gasbarra5 and Elody Fluck5, (1)GRASP SAS, Remote Sensing Developments, Lille, France, (2)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, LIlle, France, (3)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, (4)Cloudflight GmbH, Linz, Austria, (5)European Space Agency (ESRIN), Frascati, Italy
 
Global Distribution of 3MI’s Motion-induced Polarimetric Measurement Error (1145041)
Souichiro Hioki, Jérôme Riedi and Mohamed S Djellali, Univ. Lille, CNRS, UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique, Lille, France
 
Retrieving Water-body Reflectance and Marine Biogeochemical Properties with the GRASP Algorithm (1146650)
Siyao Zhai1, Pavel Lytvynov1, Oleg Dubovik2, Robert J Frouin3 and Jing Tan3, (1)GRASP SAS, Remote Sensing Developments, Lille, France, (2)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, LIlle, France, (3)University of California San Diego, Scripps Institution of Oceanography, La Jolla, CA, United States
 
A Method to Obtain Information about Atmospheric Factors with A Camera and Laser (1147402)
Juhyeon Sim1, Dukhyeon Kim2, Juseon Shin1, Sohee Joo1, Jaewon Kim1, Yuseon Lee1 and Youngmin Noh3, (1)Pukyong National University, Division of Earth Environmental System Science, Busan, South Korea, (2)Hanbat National University, School of Basic Science, Daejeon, South Korea, (3)Pukyoung National University, Division of Earth Environmental System Science, Busan, South Korea
 
Generation and Analysis of Dynamic Error Estimates Provided by GRASP Algorithm for POLDER/PARASOL Observations (1149077)
Milagros Herrera1, Oleg Dubovik2, Benjamin Torres3, Tatyana Lapyonok3, David Fuertes4, Cheng Chen5, Anton Lopatin4, Pavel Lytvynov4 and Christian Matar4, (1)GRASP SAS, Remote Sensing Developments, Villeneuve d'Ascq, Lille, France, (2)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, LIlle, France, (3)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, (4)GRASP SAS, Remote Sensing Developments, Lille, France, (5)GRASP SAS, Villeneuve d'Ascq, France
 
INNOVATIONS IN OPTICAL-BASED ENVIORNMENTAL SENSING sensing (1156873)
Ed Orr, ABB - Los Gatos Research, Spring, TX, UNITED STATES and F.J. Grandmont, 3ABB Inc., Quebec City, Canada
 
Retrieving water vapor profiles and clouds in microwave and infrared/visible spectrum (1165916)
Chia-Pang Kuo, Colorado State University, Department of Atmospheric Science, Fort Collins, United States, Christian D Kummerow, Colorado State University, Fort Collins, CO, United States and Steven C Reising, Colorado State University, Dept. of Electrical and Computer Engineering, Fort Collins, United States
 
EVOLUTION OF THE AEROSOL DAILY DIRECT RADIATIVE EFFICIENCY USING THE AERONET DATABASE (1166103)
Jean-Claude Roger1, Yevgeny Derimian2, Cecile COEUR3, Natacha Kalecinski4, Eric Vermote5, Andrés Eduardo Santamaría-Artigas6, Sergii Skakun6, Oleg Dubovik7 and Brent Holben8, (1)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (2)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, (3)Université du Littoral Côte d'Opale, Dunkerque, France, (4)University of Maryland College Park, College Park, MD, United States, (5)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, (6)University of Maryland College Park, Department of Geographical Sciences, College Park, United States, (7)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, LIlle, France, (8)NASA Goddard Space Flight Center, Greenbelt, United States
 
On the optical quasi-equivalence of atmospheric nonspherical particles: Implications for remote sensing (1172748)
Masanori Saito, Texas A&M University College Station, College Station, TX, United States and Ping Yang, Texas A&M University College Station, Department of Atmospheric Sciences, College Station, United States
 
The use of atmospheric Inversion on Multi Angle polarization data from Ground, Aircraft and Satellite (Invited) (1178076)
Jose Vanderlei Martins1, Anin Puthukkudy1, Xiaoguang Xu2, Noah Christian Sienkiewicz1, Brent McBride3, Roberto Armando Fernandez Borda4, Reed Espinosa5, Lorraine A Remer6 and Oleg Dubovik7, (1)University of Maryland Baltimore County, Department of Physics, Earth and Space Institute, GESTAR-II, Baltimore, United States, (2)University of Iowa, Chemical and Biochemical Engineering, Iowa City, United States, (3)University of Maryland Baltimore County, Department of Physics, Earth and Space Institute, Baltimore, United States, (4)Joint Center for Earth Systems Technology, Greenbelt, MD, United States, (5)University of Maryland Baltimore County, Physics, Baltimore, United States, (6)University of MD Baltimore County, Baltimore, MD, United States, (7)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, LIlle, France
 
Aerosol layer height retrieval from OLCI Oxygen A-band using GRASP algorithm. (1179248)
Marcos Herreras1, Pavel Lytvynov1, Oleg Dubovik2, René Preusker3, Anton Lopatin1, Christian Matar1, Juan-Carlos Antuna-Sanchez1, Tatyana Lapyonok4, Jürgen Fischer5 and David Fuertes1, (1)GRASP SAS, Remote Sensing Developments, Lille, France, (2)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, LIlle, France, (3)Free University of Berlin, Institute for Space Sciences, Berlin, Germany, (4)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, (5)Free University of Berlin, Meteorology, Berlin, Germany
 
A Broad Spectrum Two-Habit Model Optical Property Database for the Improvement of Active-Passive Retrieval Consistency of Downstream Remote Sensing Applications (1183611)
James Joseph Coy, Texas A&M University College Station, College Station, TX, United States, Masanori Saito, Texas A&M University, College Station, United States, Jiachen Ding, Texas A & M University College Station, College Station, TX, United States and Ping Yang, Texas A&M University College Station, Department of Atmospheric Sciences, College Station, United States
 
Predicting Failed Air Quality Retrievals using Machine Learning for Multiple Earth Observation Satellites (1193033)
Edward Malina1, Jure Brence2, Jovan Tanevski2,3, Jennifer Adams4,5, Vijay Natraj1, Saso Dzeroski2, Valentin Kantchev6 and Kevin W. Bowman1, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (2)Jozef Stefan Institute, Ljubljana, Slovenia, (3)University Heidelberg, Heidelberg, Germany, (4)RHEA System Spa for Esa/Esrin, Frascati, Italy, (5)University of Zurich, Zurich, Switzerland, (6)NASA Jet Propulsion Laboratory, Instrument Software and Science Data Systems, Pasadena, CA, United States
 
Improvements in Algorithms to Analyze Scanning LIDAR Signals (1055200)
Juseon Shin1, Gahyung Kim1, Sohee Joo1, Dukhyeon Kim2 and Youngmin Noh3, (1)Pukyong National University, Division of Earth Environmental System Science, Busan, South Korea, (2)Hanbat National University, School of Basic Science, Daejeon, South Korea, (3)Pukyoung National University, Division of Earth Environmental System Science, Busan, South Korea
 
Solving Forward and Inverse Problems for Hyperspectral Satellite Remote Sensors using Principal Component Analysis (1068922)
Xu Liu1, Wan Wu1, Qiguang Yang2, Xiaozhen Xiong3, Ming Zhao4, Daniel K Zhou1, Allen M Larar5, Robert J D Spurr6, Ping Yang7, Liqiao Lei8, Hyun-Sung Jang9, Yolanda Shea10, Snorre Stamnes1, David R Thompson11, Xiong Liu12, Lihang Zhou13, Qing Yue11 and Feng Xu14, (1)NASA Langley Research Center, Hampton, VA, United States, (2)SSAI Inc, NASA Langley Research Center, Hampton, VA, United States, (3)NOAA Science Center, National Environmental Satellite, Data, and Information Service, NOAA, USA, Clarksville, United States, (4)SSAI, Inc., Hampton, United States, (5)NASA Langley Research Center, Hampton, United States, (6)Rt Solutions Inc., Cambridge, United States, (7)Texas A&M Univ, College Station, TX, United States, (8)Science Systems and Applications, Inc., Hampton, United States, (9)NASA npp postdoc, Hampton, VA, United States, (10)NASA, Hampton, United States, (11)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (12)Center for Astrophysics | Harvard & Smithsonian, Cambridge, United States, (13)NOAA College Park, College Park, MD, United States, (14)University of Oklahoma, School of Meteorology, Norman, OK, United States
 
Potential of using polarization measurements in AERONET aerosol retrieval algorithm. (1072337)
Aliaksandr Siniuk1, Brent Holben2, Thomas F Eck3, David Matthew Giles4, Ilya Slutsker1, Joel Schafer5, Alexander Smirnov5 and Mikhail G Sorokin1, (1)Science Systems and Applications, Inc., Lanham, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)Nasa Goddard SFC, Greenbelt, MD, United States, (4)Science Systems and Applications, Inc., Lanham, United States, (5)Science Systems and Applications, Inc., Greenbelt, MD, United States
 
Grand challenges in satellite remote sensing (1079921)
Oleg Dubovik, Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, Gregory L Schuster, NASA Langley Research Center, Hampton, VA, United States, Feng Xu, University of Oklahoma, School of Meteorology, Norman, OK, United States, Yongxiang Hu, NASA Langley Research Center, Hampton, United States, Hartmut Boech, University of Leicester, Leicester, United Kingdom, Jochen Landgraf, SRON Netherlands Institute for Space Research, Utrecht, Netherlands and Zhengqiang Li, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
 
Comparison of efficient computation methods for the polarized plane-parallel radiative transfer including solar aureole regions using the GRASP platform (1088862)
Masahiro Momoi1, Pavel Lytvynov1, Siyao Zhai1, Anton Lopatin1, Miho Sekiguchi2, Teruyuki Nakajima2, Tatyana Lapyonok3 and Oleg Dubovik3, (1)GRASP SAS, Remote Sensing Developments, Lille, France, (2)Tokyo University of Marine Science and Technology, Tokyo, Japan, (3)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France
 
Revisiting the Analytical Solution to Light Scattering by a Dielectric Spheroid (1089365)
Jiachen Ding, Texas A&M University College Station, Department of Atmospheric Sciences, College Station, TX, United States and Ping Yang, Texas A&M Univ, College Station, TX, United States
 
Adaptive Data Quality Control and Uncertainty Analysis in Advancing Multi-angle Polarimetric Remote Sensing for PACE Mission (1090685)
Meng Gao1,2, Kirk D Knobelspiesse1, Bryan A Franz3, Pengwang Zhai4, Andrew M Sayer5, Amir Ibrahim1, Brian Cairns6, Otto P. P Hasekamp7, Yongxiang Hu8, Jose Vanderlei Martins9, Jeremy Werdell1 and Xiaoguang Xu10, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)SSAI, NASA Goddard Space Flight Center, Greenbelt, United States, (3)NASA Goddard Space Flight Center, Greenbelt, United States, (4)Joint Center for Earth System Technology, Department of Physics, University of Maryland Baltimore County, Baltimore, United States, (5)Universities Space Research Association (USRA), Columbia, United States, (6)NASA Goddard Institute for Space Studies, New York, NY, United States, (7)SRON Netherlands Institute for Space Research, Utrecht, Netherlands, (8)NASA Langley Research Center, Hampton, United States, (9)Earth and Space Institute, UMBC, Baltimore, United States, (10)University of Iowa, Chemical and Biochemical Engineering, Iowa City, United States
 
Determining the size and number density for stratospheric aerosols from OMPS-LP measurements (1091156)
Yi Wang, Science and Technology Corporation, Columbia, United States, Mark R Schoeberl, Science and Technology Corporation, Boulder, CO, United States, Daniel Zawada, University of Saskatchewan, Saskatoon, SK, Canada, Adam E Bourassa, University of Saskatchewan, Department of Physics & Engineering Physics, Saskatoon, SK, Canada and Ghassan Taha, Morgan State University, Baltimore, United States
 
Synergistic Lidar and Polarimeter Aerosol Retrieval Performance Under Complex Conditions: Exploring the Costs of Imperfect Particle Shape Assumptions (Invited) (1092129)
Reed Espinosa1, Anin Puthukkudy2, Greema Regmi3, Nirandi Jayasinghe4, Osku Kemppinen1, Oleg Dubovik5, Feng Xu6, Anton Lopatin7 and Pavel Lytvynov7, (1)NASA Goddard Space Flight Center, Greenbelt, United States, (2)University of Maryland Baltimore County, Department of Physics, Earth and Space Institute, GESTAR-II, Baltimore, United States, (3)University of Maryland Baltimore County, Baltimore, MD, United States, (4)University of Maryland Baltimore County, Physics Department, Baltimore, United States, (5)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, (6)University of Oklahoma, School of Meteorology, Norman, OK, United States, (7)GRASP SAS, Remote Sensing Developments, Lille, France
 
A study of the Effect of Dust Properties on Retrieval Accuracy Using HARP CubeSat Multi-Angular Polarimetric Observations. (1092200)
Nirandi Jayasinghe, University of Maryland Baltimore County, Physics Department, Baltimore, United States, Anin Puthukkudy, Earth and Space Institute, UMBC, Baltimore, United States; Goddard Earth Sciences Technology and Research II, UMBC, Physics, Baltimore, United States, Reed Espinosa, NASA Goddard Space Flight Center, Greenbelt, United States and Jose Vanderlei Martins, University of Maryland Baltimore County, Department of Physics, Earth and Space Institute, GESTAR-II, Baltimore, United States
 
A unified radiative transfer simulator for hyperspectral radiometers and polarimeters (1097245)
Pengwang Zhai1, Yongxiang Hu2, Meng Gao3, Bryan A Franz4, Jeremy Werdell5, Kirk D Knobelspiesse5, Amir Ibrahim5, Neranga Prasadi Kaluappuwa Hannadige1 and Kamal Aryal6, (1)University of Maryland Baltimore County, Baltimore, MD, United States, (2)NASA Langley Research Center, Hampton, United States, (3)SSAI, NASA Goddard Space Flight Center, Greenbelt, United States, (4)NASA Goddard Space Flight Center, Greenbelt, United States, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (6)Joint Center for Earth System Technology, Department of Physics, University of Maryland Baltimore County, Baltimore, MD, United States
 
Investigation of Cloud Interior Structure Using a Tomographic Technique Based on Radon Transform. Application to the Measurements Made by the Research Scanning Polarimeter During CAMP2Ex (1098551)
Mikhail D Alexandrov, Columbia University of New York, Palisades, NY, United States, Bastiaan van Diedenhoven, Netherlands Institute for Space Research, Utrecht, Netherlands, Brian Cairns, NASA Goddard Institute for Space Studies, New York, NY, United States and Andrzej P Wasilewski, Trinnovim LLC, New York, NY, United States
 
Accounting for Aerosol Particle Non-sphericity in Passive and Active Remote Sensing of Desert Dust Using GRASP Algorithm (1106653)
Anton Lopatin1, Oleg Dubovik2, Lei Bi3, Wushao Lin4, Masanori Saito5, Tatyana Lapyonok6, Gregory L Schuster7, Siyao Zhai8, Moritz Haarig9, Albert Ansmann9, Pavel Lytvynov8, Chong LI10, Cheng Chen11, Christian Matar8, David Fuertes8 and Yana Karol11, (1)GRASP SAS, Hauts-de-France, Villeneuve d'Ascq, France, (2)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, LIlle, France, (3)Zhejiang University, Hangzhou, China, (4)Zhejiang University, School of Earth Sciences, Hangzhou, China, (5)Texas A&M University, College Station, United States, (6)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, (7)NASA Langley Research Center, Hampton, VA, United States, (8)GRASP SAS, Remote Sensing Developments, Lille, France, (9)Leibniz Institute for Tropospheric Research, Leipzig, Germany, (10)GRASP SAS, Lezennes, France, (11)GRASP SAS, Villeneuve d'Ascq, France
 
Ten year dataset of 35-70 km Temperature Profiles from OMPS LP (1106822)
Zhong Chen1, Pawan K Bhartia2, Mark R Schoeberl3, Natalya A Kramarova4, Matthew T DeLand5 and Glen R Jaross2, (1)Science Systems and Applications, Inc., Lanham, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)Science and Technology Corporation, Boulder, CO, United States, (4)NASA Goddard Space Flight Center, Greenbelt, United States, (5)Sci Systems & Applications Inc, Lanham, MD, United States
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