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

Session ID#: 5290

Friday, 19 December 2014: 8:00 AM-12:20 PM
Poster Hall (Moscone_South)
Chairs:  Jun Wang, University of Iowa, Department of Chemical and Biochemical Engineering, Iowa City, United States and Xiong Liu, Harvard-Smithsonian Center for Astrophysics, Cambridge, United States
Primary Convener:  Jun Wang, University of Iowa, Department of Chemical and Biochemical Engineering, Iowa City, United States
Co-conveners:  Xiong Liu, Atomic and Molecular Physics Division, Center for Astrophysics | Harvard & Smithsonian, Cambridge, United States and Edward J Hyer, Naval Research Laboratory, Marine Meteorology Division, Monterey, United States
OSPA Liaison:  Edward J Hyer, Naval Research Lab, Monterey, CA, United States
Co-Sponsor(s):
  • AMS - American Meteorological Society
  • GC - Global Environmental Change
  • NH - Natural Hazards
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]
0394 Instruments and techniques [ATMOSPHERIC COMPOSITION AND STRUCTURE]
Virtual Option?: No
Swirl Theme: Dust and Aerosols

Abstracts Submitted to this Session:

 
Aerosol Retrieval over Urban Area in MODIS Dark Target Land Algorithm: Implication to Surface Air Quality Monitoring (7887)
Pawan Gupta1,2, Robert C Levy1, Shana Mattoo3,4 and Aaron van Donkelaar5, (1)NASA/Goddard Space Flight Ctr, Greenbelt, United States, (2)NASA GSFC, Greenbelt, United States, (3)Science Systems and Applications, Inc., Lanham, United States, (4)Science Systems and Applications, Inc., Lanham, MD, United States, (5)Dalhousie University, Dept Physics & Atmospheric Science, Halifax, NS, Canada
 
Bias Correction of MODIS AOD using DragonNET to obtain improved estimation of PM2.5 (31198)
Barry Gross1, Nabin K Malakar1, Adam Atia1, Fred Moshary2, Samir Ahmed1 and Min M Oo3, (1)CUNY City College, New York, NY, United States, (2)CUNY City College, New York, United States, (3)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 (13364)
Shouguo Ding1, Jun Wang1, Xiaoguang Xu2 and Robert J D Spurr3, (1)University of Nebraska Lincoln, Lincoln, NE, United States, (2)University of Iowa, Chemical and Biochemical Engineering, Iowa City, United States, (3)Rt Solutions Inc., Cambridge, MA, United States
 
Optical and microphysical properties of column-integrated aerosols at a SKYNET site downwind of Seoul, Korea (20875)
Yongjoo Choi1, Jisoo Park2 and Young Sung Ghim2, (1)Hankuk University of Foreign Studies, Department of Environmental Science, Yongin, Korea, Republic of (South), (2)Hankuk University of Foreign Studies, Yongin, Korea, Republic of (South)
 
Investigating Methods for Nighttime Aerosol Optical Depth Retrieval Using the VIIRS Day/Night Band (14513)
Theodore M McHardy1, Jianglong Zhang1, Jeffrey S Reid2 and Edward J Hyer3, (1)University of North Dakota, Atmospheric Sceinces, Grand Forks, ND, United States, (2)Naval Research Laboratory, Marine Meteorology Division, Monterey, United States, (3)US Naval Research Laboratory, Monterey, United States
 
Introduction of a Sun/Sky-Radiometer Observation Network with the Extension of Multi-Wavelength Polarization Measurements in China (8347)
Hua Xu1, Zhengqiang Li2, Donghui Li2, Kaitao Li2, Xingfeng Chen2, Cheng Chen3, Yisong Xie2, Yang Lv2, Li Li2, Lei Li2, Wei Li2 and Xingfa Gu2, (1)State Environment Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China, (2)RADI Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China, (3)GRASP SAS, Villeneuve d'Ascq, France
 
Retrieval of UV Aerosol Index using backscattered monochromatic radiance measured by GOSAT CAI (20768)
Sujung Go1, Jhoon Kim2, Mijin KIM1 and Sang Seo Park3, (1)Yonsei University, Seoul, Korea, Republic of (South), (2)Samsung Advanced Institute of Technology, Samsung Particulate Matter Research Institute, Suwon, South Korea, (3)Yonsei University, Seoul, South Korea
 
Application of GOSAT TANSO-CAI observations for aerosol optical depth retrieval and surface PM2.5 air quality monitoring (16198)
Dong Han1, Jun Wang1, Xiaoguang Xu2, Weizhen Hou1 and Liangfu Chen3, (1)University of Nebraska Lincoln, Lincoln, NE, United States, (2)University of Iowa, Chemical and Biochemical Engineering, Iowa City, United States, (3)CAS Chinese Academy of Sciences, Beijng, China
 
Algorithm for Retrieval of Aerosol Optical Properties over East Asia from TANSO-Cloud and Aerosol Imager (19862)
Sanghee Lee1, Jhoon Kim2, Mijin KIM1, Myungje Choi3, Sujung Go1, Hyunkwang Lim3, Mi-Lim Ou4 and Tae-Young Goo5, (1)Yonsei University, Seoul, Korea, Republic of (South), (2)Samsung Advanced Institute of Technology, Samsung Particulate Matter Research Institute, Suwon, South Korea, (3)Yonsei University, Department of Atmospheric Sciences, Seoul, South Korea, (4)National Institute of Meteorological Research, Jeju, Korea, Republic of (South), (5)National Institute of Meteorological Sciences - NIMS, Observation Research Department, Seogwipo, 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 (20594)
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 (19726)
Hesham Mohamed El-Askary, Chapman University, Schmid College of Science and Technology, 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 (12958)
Weizhen Hou1, Jun Wang1, Xiaoguang Xu2, Shouguo Ding1, Dong Han1, James W Leitch3, Thomas Delker4 and Gao Chen5, (1)University of Nebraska Lincoln, Lincoln, NE, United States, (2)University of Iowa, Chemical and Biochemical Engineering, Iowa City, United States, (3)Ball Aerospace, Boulder, United States, (4)BAE Systems, Boulder, United States, (5)NASA Langley Research Ctr, Hampton, 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 (21833)
Ukkyo Jeong1, Changwoo Ahn2, Jhoon Kim3, Pawan K Bhartia4, Omar Torres5, Robert J D Spurr6, Xiong Liu7, Kelly Chance8 and Brent Holben4, (1)UMD ESSIC, College Park, MD, United States, (2)Science Systems and Applications, Inc., Lanham, MD, United States, (3)Samsung Advanced Institute of Technology, Samsung Particulate Matter Research Institute, Suwon, South Korea, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)NASA Goddard Space Flight Center, Greenbelt, United States, (6)Rt Solutions Inc., Cambridge, MA, United States, (7)Harvard-Smithsonian Center for Astrophysics, Cambridge, United States, (8)Atomic and Molecular Physics Division, Center for Astrophysics | Harvard & Smithsonian, Cambridge, United States
 
Determination of wood burning and fossil fuel contribution of black carbon at Delhi, India: Using aerosol light absorption technique (22450)
Suresh Tiwari, Indian Institute of Tropical Meteorology, Pune, India, D S Bisht, Indian Institute of Tropical Meteorology, Air Pollution, New Delhi, India, A K Srivastava, Indian Institute of Tropical Meteorology, Delhi, India; Indian Institute of Tropical Meteorology, Delhi Branch, India and Deewan Singh Bisht
 
Real-time testing of satellite-based wild fire detection and their associated pollution impact on surface concentration of particulate matter (22671)
Li Pan1,2, Pius Lee3, Ivanka Stajner4, Shobha Kondragunta5, Jeffrey McQueen6, Cheng-Hsuan Lu6, Mark Ruminski7, Daniel Tong8, Hyun C Kim2,9, Youhua Tang10, Jian-Ping Huang6, Ho-Chun Huang11 and Sikchya Upadhayay12, (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, Boulder, United States, (5)NOAA/NESDIS/Center for Satellite Applications and Research, College Park, United States, (6)NOAA, Center for Weather and Climate Prediction, National Weather Service, College Park, MD, United States, (7)NOAA College Park, College Park, MD, United States, (8)George Mason Univeristy, Department of Atmospheric, Oceanic and Earth Sciences, Fairfax, United States, (9)Cooperative Institute for Satellite Earth System Studies, University of Maryland, College Park, United States, (10)NOAA Air Resources Laboratory & George Mason University, College Park, United States, (11)Lynker at NOAA/NWS/Office of Modeling and Development, College Park, United States, (12)Science and Techcnology Corporation, Science Engineering Group, Columbia, MD, United States
 
In-situ and Remote-Sensing Data Fusion Using Machine Learning Techniques to Infer Urban and Fire Related Pollution Plumes (30222)
Philip B Russell1, Michal Segal-Rozenhaimer2, Beat Schmid3, Jens Redemann4, John M Livingston5, Connor J Flynn4, Roy Johnson6, Stephen E Dunagan7, Yohei Shinozuka8, Meloe S Kacenelenbogen9 and Robert B Chatfield7, (1)NASA-Ames Research Center, Moffett Field, CA, United States, (2)Bay Area environmental Research Institute, NASA Ames Research Center, Moffett Field, CA, United States, (3)Pacific Northwest National Laboratory, Richland, WA, United States, (4)University of Oklahoma, School of Meteorology, Norman, United States, (5)SRI International Palo Alto, Palo Alto, CA, United States, (6)NASA Ames Research Center, Moffett Field, United States, (7)NASA Ames Research Center, Moffett Field, CA, United States, (8)Bay Area Environmental Research Institute Sonoma, Sonoma, CA, United States, (9)BAERI/NASA Ames Research Center, Moffett Field, CA, United States
 
Deforestation fires versus understory fires in the Amazon Basin: What can we learn from satellite-based CO measurements? (17061)
Sara Martinez-Alonso, National Center for Atmospheric Research (NCAR), Atmospheric Chemistry Observations & Modeling Laboratory (ACOM), Boulder, United States, Merritt N Deeter, National Center for Atmospheric Research, Boulder, CO, United States, Helen Marie Worden, NSF National Center for Atmospheric Research (NSF NCAR), Atmospheric Chemistry Observations & Modeling Laboratory (ACOM), Boulder, CO, United States, John C Gille, National Center for Atmospheric Research, Boulder, United States, Cathy Clerbaux, UPMC Univ. Paris 06; Université Versailles St-Quentin, LATMOS-IPSL, Paris, France; CNRS/INSU, LATMOS-IPSL, Paris, France and Maya George, LATMOS/IPSL, UPMC Univ. Paris 06 Sorbonne Universités, CNRS, Paris, France; 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 (19373)
Sanath Sathyachandran Kumar, PhD, South Dakota State University, Brookings, United States, David P Roy, South Dakota State University, Brookings, SD, United States and Luigi Boschetti, University of Idaho, College of Natural Resources, Moscow, United States
 
Using the VIIRS Day/Night Band to Improve Nocturnal Fire Detection (19474)
Thomas Norbert Polivka1, Jun Wang1 and Edward J Hyer2, (1)University of Nebraska Lincoln, Lincoln, NE, United States, (2)US Naval Research Laboratory, Monterey, United States
 
Spatial Investigation of Columnar AOD and Near-Surface PM2.5 Concentrations During the 2013 American and Yosemite Rim Fires (18985)
Sandra Marcela Loria Salazar1, Heather Holmes1, 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, Division of Atmospheric Sciences, Reno, NV, United States
 
First Global Analysis of Saturation Artifacts in the VIIRS Infrared Channels and the Effects of Detector Aggregation (20457)
Jun Wang1, Thomas Norbert Polivka1, Edward J Hyer2 and David A Peterson3, (1)University of Nebraska Lincoln, Lincoln, NE, United States, (2)US Naval Research Laboratory, Monterey, United States, (3)US Naval Research Laboratory, Marine Meteorology Division, Washington, DC, United States
 
Nightfire: Sub-pixel Pyrometry of Nighttime Combustion Sources with Suomi NPP and Landsat 8 (25913)
Mikhail N Zhizhin1, Christopher Elvidge2, Feng Chi Hsu2 and Kimberly Baugh2, (1)NGDC NOAA, Boulder, United States, (2)NGDC NOAA, Boulder, CO, United States
 
Fire Detections and Fire Radiative Power Intercomparison Using Multiple Sensor Products over a Predominantly Gas Flaring Region (21967)
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 (15511)
Mark Ruminski, NOAA College Park, College Park, MD, United States and Keith Liddick, NOAA College Park, NESDIS, College Park, MD, United States