A32A:
Advances in Remote Sensing of Fires, Aerosols, and Trace Gases for Air Quality Applications I

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Session ID#: 15579

Session Description:
Remote sensing data are increasingly used in air quality analysis and prediction. This session solicits advanced remote sensing techniques and instrument concepts for enhancing the spatial and temporal characterization of fires, aerosols, and air quality related trace gases. We invite contributions on topics including but not limited to:

1) Hyperspectral, multiangular, and/or polarimetric remote sensing of fires, aerosols, and air quality trace gases;

2) Novel methods to retrieve vertically resolved aerosol properties and trace gases;

3) Fire characterization from space, especially retrieval of fire energetics and sub-pixel fire properties;

4) Mitigation of cloud contamination in aerosol and trace gas retrievals at the pixel and sub-pixel level;

6) Correction of aerosol effects in trace gas retrievals, and vice versa;

7) Multi-species retrievals, and use of multi-species information content to improve single-species retrieval accuracy.

Primary Convener:  Edward J Hyer, Naval Research Laboratory, Monterey, United States
Conveners:  Edward J Hyer, Naval Research Laboratory, Monterey, United States, Jun Wang, University of Nebraska Lincoln, Lincoln, NE, United States and Xiong Liu, Harvard-Smithsonian Center for Astrophysics, Cambridge, United States
Chairs:  Jun Wang, University of Nebraska Lincoln, Lincoln, NE, United States and Edward J Hyer, Naval Research Laboratory, Monterey, United States
OSPA Liaison:  Gonzalo Gonzalez Abad, Center for Astrophysics | Harvard & Smithsonian, Cambridge, United States
Index Terms:

0305 Aerosols and particles [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0345 Pollution: urban and regional [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0365 Troposphere: composition and chemistry [ATMOSPHERIC COMPOSITION AND STRUCTURE]
3360 Remote sensing [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Characterizing the solar reflection from wildfire smoke plumes using airborne multiangle measurements (168302)
Charles K Gatebe1, Tamas Varnai2, Ritesh Gautam3, Rajesh Poudyal4 and Manoj Kumar Singh3, (1)NASA Ames Research Center, Moffett Field, CA, United States, (2)University of Maryland Baltimore County, GESTAR-II, Baltimore, MD, United States, (3)Indian Institute of Technology Bombay, Centre of Studies in Resources Engineering, Mumbai, India, (4)SSAI, NASA GSFC, Greenbelt, United States
Multi-Angle Imager for Aerosols (MAIA) Investigation of Airborne Particle Health Impacts (Invited) (153983)
David J Diner, Jet Propulsion Laboratory, Pasadena, CA, United States
Development of an improved active fire global data set using S-NPP/VIIRS 375 and 750 m data (189458)
Wilfrid Schroeder1, Louis Giglio2, William Walsh1 and Pierre C Guillevic1, (1)University of Maryland College Park, College Park, MD, United States, (2)NASA GSFC, Greenbelt, MD, United States
Estimating particle speciation concentrations using MISR retrieved aerosol properties in southern California (197900)
Yang Liu, Emory University, Atlanta, GA, United States, Xia Meng, Emory University, Department of Environmental Health, Rollins School of Public Health, Atlanta, GA, United States, David J Diner, NASA Jet Propulsion Laboratory, Pasadena, United States and Michael J Garay, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Angular dependence and the role of polarization for aerosol microphysical properties information content from simulated CAPI/TanSat observation over land (142316)
Xi Chen1, Jun Wang2, Xiaoguang Xu3, Yi Liu4, Dongxu Yang1 and Zhaonan Cai1, (1)IAP Insititute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (2)University of Nebraska Lincoln, Lincoln, NE, United States, (3)University of Iowa, Chemical and Biochemical Engineering, Iowa City, United States, (4)Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Evaluation of Aerosol Optical Thickness algorithm for Geostationary Environmental Monitoring Spectrometer (GEMS) Using the OMI Instrument over East Asia (196212)
Sujung Go1, Jhoon Kim2, Mijin KIM3, Myungje Choi4, Hyunkwang Lim4, Omar Torres5, Limseok Chang6 and Jihyung Hong7, (1)Yonsei University, Seoul, Korea, Republic of (South), (2)Yonsei University, Dept. of Atmospheric Sciences, Seoul, South Korea, (3)Yonsei Univ., Seoul, Korea, Republic of (South), (4)Yonsei University, Department of Atmospheric Sciences, Seoul, South Korea, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (6)National Institute of Environmental Research, Environmental Satellite Center, Incheon, South Korea, (7)NIER National Institute of Environmental Research, Environmental Health Research, Incheon, Korea, Republic of (South)
Can the physical properties associated with uncertainties in the NASA MODIS AOD retrievals in the western U.S. be determined? (149759)
Sandra Marcela Loria Salazar1, Heather Holmes1, Anna k Panorska2, William P Arnott3 and Jim Barnard3, (1)University of Nevada Reno, Atmospheric Sciences Program, Department of Physics, Reno, NV, United States, (2)University of Nevada, Reno, Department of Mathematics and Statistics, Reno, NV, United States, (3)University of Nevada Reno, Reno, NV, United States
Potential application of DMSP/OLS nighttime light data for estimating ground-level PM2.5 concentrations in the New England region (172208)
Xueke Li, University of Connecticut, Geography, Groton, United States, Chuanrong Zhang, University of Connecticut, Department of Geography, Storrs, CT, United States, Weidong Li, University of Connecticut, Geography, Storrs Mansfield, CT, United States and Kai Liu, IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China

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