A51B:
Advances in Remote Sensing of Fires, Aerosols, and Trace Gases for Air Quality Applications II Posters

Friday, 19 December 2014: 8:00 AM-12:20 PM
Chairs:  Jun Wang, University of Nebraska - Lincoln, Lincoln, NE, United States and Xiong Liu, Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, United States
Primary Conveners:  Jun Wang, University of Nebraska - Lincoln, Lincoln, NE, United States
Co-conveners:  Xiong Liu, Harvard-Smithsonian CFA, Cambridge, MA, United States and Edward J. Hyer, Naval Research Lab Monterey, Monterey, CA, United States
OSPA Liaisons:  Edward J. Hyer, Naval Research Lab, Monterey, CA, United States

Abstracts Submitted to this Session:

 
Aerosol Retrieval over Urban Area in MODIS Dark Target Land Algorithm: Implication to Surface Air Quality Monitoring
Pawan Gupta1,2, Robert C Levy1, Shana Mattoo1,3 and Aaron van Donkelaar4, (1)NASA/Goddard Space Flight Ctr, Greenbelt, MD, United States, (2)Universities Space Research Association Greenbelt, Greenbelt, MD, United States, (3)Science Systems and Applications, Inc., Lanham, MD, United States, (4)Dalhousie University, Halifax, NS, Canada
 
Bias Correction of MODIS AOD using DragonNET to obtain improved estimation of PM2.5
Barry Gross1, Nabin K Malakar1, Adam Atia1, Fred Moshary1, Samir A Ahmed1 and Min M Oo2, (1)CUNY City College, New York, NY, United States, (2)University of Wisconsin - Madison, Madison, WI, United States
 
Retrieval of optical depth and vertical distribution of atmospheric aerosols from light intensity and polarization in O2 A and B bands
Shouguo Ding1, Jun Wang1, Xiaoguang Xu1 and Robert J D Spurr2, (1)University of Nebraska Lincoln, Lincoln, NE, United States, (2)Rt Solutions Inc, Cambridge, MA, United States
 
Optical and microphysical properties of column-integrated aerosols at a SKYNET site downwind of Seoul, Korea
Yongjoo Choi1, Ji Soo Park1 and Young Sung Ghim2, (1)Hankuk University of Foreign Studies, Yongin, South Korea, (2)Hankuk Univ. of Foreign Studies, Gyeonggi-do, South Korea
 
Investigating Methods for Nighttime Aerosol Optical Depth Retrieval Using the VIIRS Day/Night Band
Theodore M McHardy1, Jianglong Zhang1, Jeffrey S. Reid2 and Edward J. Hyer2, (1)University of North Dakota, Atmospheric Sceinces, Grand Forks, ND, United States, (2)Naval Research Laboratory, Marine Meteorology Division, Monterey, CA, United States
 
Introduction of a Sun/Sky-Radiometer Observation Network with the Extension of Multi-Wavelength Polarization Measurements in China
Hua Xu, Zhengqiang Li, Donghui Li, Kaitao Li, Xingfeng Chen, Cheng Chen, Yisong Xie, Yang Lv, Li Li, Lei Li, Wei Li and Xingfa Gu, RADI Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
 
Retrieval of UV Aerosol Index using backscattered monochromatic radiance measured by GOSAT CAI
Sujung Go, Jhoon Kim, Mijin KIM and Sang Seo Park, Yonsei University, Seoul, South Korea
 
Application of GOSAT TANSO-CAI observations for aerosol optical depth retrieval and surface PM2.5 air quality monitoring
Dong Han1, Jun Wang1, Xiaoguang Xu1, Weizhen Hou1 and Liangfu Chen2, (1)University of Nebraska Lincoln, Lincoln, NE, United States, (2)CAS Chinese Academy of Sciences, Beijng, China
 
Algorithm for Retrieval of Aerosol Optical Properties over East Asia from TANSO-Cloud and Aerosol Imager
Sanghee Lee1, Jhoon Kim1, Mijin KIM1, Myungje Choi1, Sujung Go1, HyunKwang Lim1, Mi-Lim Ou2 and Tae-Young Goo2, (1)Yonsei University, Seoul, South Korea, (2)National Institute of Meteorological Research, Jeju, South Korea
 
Using the Mixed Effect Model as an Alternative Approach to Improve Correlation between Satellite Derived Aerosol Optical Depth (MISR & MODIS) and Ground Measured PM2.5 Data
Hanz Vladimir Oriña Cabanes, Ateneo de Manila University, Quezon City, Philippines and Nofel Lagrosas, Ateneo de Manila University, Manila Observatory, Quezon City, Philippines
 
The Influence of Atmospheric Aerosols on Air Quality Status of the Egyptian Nile Delta
Hesham Mohamed El-Askary, Chapman Univ, Orange, CA, United States and Ashraf Zakey, The Egyptian Meteorological Authority, Cairo, Egypt
 
An algorithm for simultaneous inversion of aerosol properties and surface reflectance from airborne GeoTASO hyperspectral data
Weizhen Hou1, Jun Wang1, Xiaoguang Xu1, Shouguo Ding1, Dong Han1, James W Leitch2, Thomas Delker2 and Gao Chen3, (1)University of Nebraska Lincoln, Lincoln, NE, United States, (2)Ball Aerospace, Boulder, CO, United States, (3)NASA Langley Research Ctr, Hampton, VA, United States
 
Validation of the on-line aerosol retrieval and error characterization algorithm from the OMI Near-UV observations during the DRAGON-NE Asia 2012 campaign
Ukkyo Jeong1, Changwoo Ahn2, Jhoon Kim1, Pawan K Bhartia3, Omar Torres3, Robert J D Spurr4, Xiong Liu5, Kelly Chance6 and Brent N Holben3, (1)Yonsei University, Seoul, South Korea, (2)Science Systems and Applications, Inc., Lanham, MD, United States, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)Rt Solutions Inc, Cambridge, MA, United States, (5)Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, United States, (6)Harvard-Smithsonian, Cambridge, MA, United States
 
Determination of wood burning and fossil fuel contribution of black carbon at Delhi, India: Using aerosol light absorption technique
Suresh Tiwari1, Deewan Singh Bisht1 and Atul Srivastava2,3, (1)Indian Institute of Tropical Meteorology, Air Pollution, New Delhi, India, (2)Indian Institute of Tropical Meteorology, Pune, India, (3)Indian Institute of Tropical Meteorology, Delhi Branch, India
 
Real-time testing of satellite-based wild fire detection and their associated pollution impact on surface concentration of particulate matter
Li Pan1,2, Pius Lee3, Ivanka Stajner4, Shobha Kondragunta5, Jeffrey McQueen6, Cheng-Hsuan Lu6, Mark Ruminski7, Daniel Tong8, Hyun C Kim1,2, Youhua Tang9, Jian-Ping Huang6, Ho-Chun Huang10 and Sikchya Upadhayay11, (1)Cooperative Institute for Climate and Satellites University of Maryland, College Park, MD, United States, (2)NOAA Center for Weather and Climate Prediction, Air Resources Lab, College Park, MD, United States, (3)NOAA, Boulder, CO, United States, (4)NOAA, National Weather Service, Silver Spring, MD, United States, (5)NOAA College Park, College Park, MD, United States, (6)NOAA, Center for Weather and Climate Prediction, National Weather Service, College Park, MD, United States, (7)NOAA College Park, NESDIS, College Park, MD, United States, (8)George Mason Univeristy, Center for spatial Information Science and Systems, Fairfax, VA, United States, (9)NOAA/NESDIS/STAR, Suitland, MD, United States, (10)UMD/ESSIC at NOAA/NESDIS/STAR, College Park, MD, United States, (11)Syneren Technologies, Arlington, VA, United States
 
In-situ and Remote-Sensing Data Fusion Using Machine Learning Techniques to Infer Urban and Fire Related Pollution Plumes
Philip B Russell1, Michal Segal-Rosenhaimer2, Beat Schmid3, Jens Redemann4, John M Livingston5, Connor Joseph Flynn6, Roy R Johnson4, Stephen E Dunagan4, Yohei Shinozuka7, Meloe S Kacenelenbogen2 and Robert B Chatfield4, (1)NASA-Ames Research Center, Moffett Field, CA, United States, (2)BAERI/NASA Ames Research Center, Moffett Field, CA, United States, (3)Pacific Northwest National Laboratory, Richland, WA, United States, (4)NASA Ames Research Center, Moffett Field, CA, United States, (5)SRI International Palo Alto, Palo Alto, CA, United States, (6)PNNL, Richland, VA, United States, (7)Bay Area Environmental Research Institute Sonoma, Sonoma, CA, United States
 
Deforestation fires versus understory fires in the Amazon Basin: What can we learn from satellite-based CO measurements?
Sara Martinez-Alonso1, Merritt N Deeter1, Helen Marie Worden1, John C Gille1, Cathy Clerbaux2,3 and Maya George3,4, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)UPMC Univ. Paris 06; Université Versailles St-Quentin, LATMOS-IPSL, Paris, France, (3)CNRS/INSU, LATMOS-IPSL, Paris, France, (4)UPMC Univ. Paris 06; Université Versailles St-Quentin, Paris, France
 
Trapezoidal Numerical Integration of Fire Radiative Power (FRP) Provides More Reliable Estimation of Fire Radiative Energy (FRE) and so Biomass Consumption Than Conventional Estimation Methods
Sanath Kumar Sathyachandran1, David P Roy1 and Luigi Boschetti2, (1)South Dakota State University, Brookings, SD, United States, (2)University of Idaho, Moscow, ID, United States
 
Using the VIIRS Day/Night Band to Improve Nocturnal Fire Detection
Thomas Norbert Polivka1, Jun Wang1 and Edward J. Hyer2, (1)University of Nebraska Lincoln, Lincoln, NE, United States, (2)Naval Research Laboratory, Marine Meteorology Division, Monterey, CA, United States
 
Spatial Investigation of Columnar AOD and Near-Surface PM2.5 Concentrations During the 2013 American and Yosemite Rim Fires
Sandra Marcela Loria Salazar1, Heather Holmes2, William P Arnott2, Hans Moosmuller3, Addison Liming2 and Brian Echevarria2, (1)University of Nevada Reno, Atmospheric Sciences Program, Department of Physics, Reno, NV, United States, (2)University of Nevada Reno, Reno, NV, United States, (3)Desert Research Institute, Reno, NV, United States
 
First Global Analysis of Saturation Artifacts in the VIIRS Infrared Channels and the Effects of Detector Aggregation
Jun Wang1, Thomas Norbert Polivka1, Edward J. Hyer2 and David A Peterson2, (1)University of Nebraska Lincoln, Lincoln, NE, United States, (2)Naval Research Laboratory, Marine Meteorology Division, Monterey, CA, United States
 
Nightfire: Sub-pixel Pyrometry of Nighttime Combustion Sources with Suomi NPP and Landsat 8
Mikhail N Zhizhin, Christopher Elvidge, Feng Chi Hsu and Kimberly Baugh, NGDC NOAA, Boulder, CO, United States
 
Fire Detections and Fire Radiative Power Intercomparison Using Multiple Sensor Products over a Predominantly Gas Flaring Region
Ambrish Sharma and Jun Wang, University of Nebraska Lincoln, Lincoln, NE, United States
 
VIIRS Unique Fires Compared to the NOAA Hazard Mapping System Fire Analysis
Mark Ruminski and Keith Liddick, NOAA College Park, NESDIS, College Park, MD, United States
 
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