A51G:
A New Era for Aerosol Products from Geostationary Satellites for Air Quality Operational and Research Applications II Posters


Submit an Abstract to this Session


Session ID#: 50313

Session Description:
The Advanced Himawari Imager (AHI) on the Himawari-8 and Himawari-9 satellites and the Advanced Baseline Imager (ABI) on the GOES-16 and GOES-17 satellites provide revolutionary new high accuracy and high spatial resolution aerosol products that were previously only available from polar-orbiting satellites, but with the high temporal resolution of geostationary satellites. For this session, we invite presentations that discuss (1) how the 5-minute refresh rates of AHI and ABI measurements are being exploited to improve aerosol product accuracy, (2) how high accuracy AHI and ABI aerosol data are improving current operational activities, (3) planned applications of AHI and ABI aerosol data in research and operations, particularly for analysis of smoke and dust in the atmosphere, (4) synergy of AHI and ABI data with aerosol measurements from VIIRS, MODIS, and other satellites, and (5) assimilation of AHI and ABI aerosol data in global and regional models to improve aerosol predictions.
Primary Convener:  Amy K Huff, Pennsylvania State University Main Campus, University Park, PA, United States
Conveners:  Shobha Kondragunta, NOAA/NESDIS/Center for Satellite Applications and Research, College Park, United States and Istvan Laszlo, Univ Maryland, College Park, MD, United States
Primary Liaison:  Amy K Huff, Pennsylvania State Univ, University Park, PA, United States
Chairs:  Amy K Huff, Pennsylvania State Univ, University Park, PA, United States, Shobha Kondragunta, NOAA/NESDIS/Center for Satellite Applications and Research, College Park, United States and Istvan Laszlo, Univ Maryland, College Park, MD, United States
OSPA Liaison:  Amy K Huff, Pennsylvania State Univ, University Park, PA, United States
Index Terms:

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

Abstracts Submitted to this Session:

Preliminary Evaluation of GOES-16 ABI Aerosol Optical Depth Product (409083)
Mi Zhou1, Istvan Laszlo2 and Hongqing Liu1, (1)IMSG at NOAA/NESDIS/STAR, College Park, MD, United States, (2)NOAA, College Park, MD, United States
Estimation and evaluation of Surface reflectance and aerosol optical thickness for the geostationary satellites (406028)
Kwon Ho Lee, Gangneung-Wonju National University, Atmospheric Environmental Sciences, Gangneung, Korea, Republic of (South), Wonkook Kim, Korea Institute of Ocean Science and Technology, Korea Ocean Satellite Center, Busan, South Korea and Jungmoon Yoo, Ewha Womans University, Seoul, South Korea
Evaluation of HRRR Smoke Forecast using SNPP VIIRS Aerosol Products (435678)
Chuanyu Xu, Science Technology Corp at NOAA, College Park, United States, Shobha Kondragunta, NOAA/NESDIS/Center for Satellite Applications and Research, College Park, United States, Ravan Ahmadov, NOAA Global Systems Laboratory, Boulder, United States and Eric James, Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, United States
Evaluation of the NOAA Enterprise Aerosol Optical Depth Algorithm Applied to GOES-16 ABI (360609)
Hongqing Liu1, Mi Zhou1, Istvan Laszlo2 and Shobha Kondragunta3, (1)IMSG at NOAA/NESDIS/STAR, College Park, MD, United States, (2)NOAA, College Park, MD, United States, (3)NOAA/NESDIS/Center for Satellite Applications and Research, College Park, United States
Exploration of GOES16 ABI Aerosol Products in assessing plume transport and Urban Heat Island Aerosol Distributions (397566)
Barry Gross, Cooperative Remote Sensing Science and Technology Center New York, New York, NY, United States, Yonghua Wu, NOAA CESSRST and Optical Remote Sensing Lab, The City College of New York, New York, United States, Fred Moshary, CUNY City College, New York, United States, Paulo Castillo, SUNY - Farmingdale State College, Electrical Engineering, Farmingdale, NY, United States and Jacob P Mittelstaedt, CUNY City College of New York, New York, NY, United States
First-time geostationary AHI and GOCI AOD data fusion using the Bayesian Maximum Entropy Technique (361308)
Hyeongwoo Kang, Pukyong National University, Busan, Korea, Republic of (South), Hanlim Lee, Pukyong National University, Busan, South Korea and Hyunkee Hong, National Institute of Environmental Research, Environmental Satellite Center, Incheon, South Korea
Improvement of AHI Yonsei AErosol Retrieval (YAER) Algorithm with Multi-temporal Data (469266)
Hyunkwang Lim1, Jhoon Kim2, Myungje Choi1, Sujung Go2 and Yasuko Kasai3, (1)Yonsei University, Department of Atmospheric Sciences, Seoul, South Korea, (2)Yonsei University, Seoul, Korea, Republic of (South), (3)NICT, Tokyo, Japan
Monitoring Smoke/Dust Events using High Resolution GOES-16 Aerosol Detection Product (423979)
Pubu Ciren, IMSG, &/NOAA/NESDIS/STAR, College Park, MD, United States and Shobha Kondragunta, NOAA NESDIS STAR, College Park, United States
Overview of JAXA Himawari Monitor Aerosol Products (365795)
Maki Kikuchi, Mayumi Yoshida, Takashi M Nagao, Risa Miyazaki, Makiko Hashimoto, Hiroshi Murakami, Misako Kachi and Nakajima Teruyuki, Japan Aerospace Exploration Agency, Earth Observation Research Center, Tsukuba, Japan
Surface PM2.5 Estimates from GOES and VIIRS AOD over the United States (425270)
Hai Zhang, IMSG at NOAA/NESDIS/STAR, College Park, MD, United States, Shobha Kondragunta, NOAA/NESDIS/Center for Satellite Applications and Research, College Park, United States and Istvan Laszlo, NOAA, College Park, MD, United States
The Dark Target aerosol algorithm applied to Himawari-8 Advanced Himawari Imager (AHI) (394230)
Shana Mattoo, Science Systems and Applications, Inc., Lanham, MD, United States, Robert C Levy, NASA/Goddard Space Flight Ctr, Greenbelt, United States, Pawan Gupta, NASA GSFC, Greenbelt, United States, Andrew Heidinger, NOAA/NESDIS, Office of Geostationary Earth Orbit Observations, Madison, United States and Lorraine Remer, Joint Center for Earth Systems Technology, University of Maryland, Baltimore, United States
The N-Dimensional Cost Function Method: A Method for Multitemporal Aerosol Optical Depth Simultaneous Retrieval from Geostationary Satellite Data (367507)
Shuaiyi Shi, Xingfa Gu and Tianhai Cheng, RADI Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
Understanding different characteristics of multiple LEO and GEO satellite aerosol data over East Asia during 2016 KORUS-AQ campaign (401432)
Myungje Choi, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, Jhoon Kim, Samsung Advanced Institute of Technology, Samsung Particulate Matter Research Institute, Suwon, South Korea, Seoyoung Lee, Yonsei University, Department of Atmospheric Sciences, Seoul, Korea, Republic of (South), Hyunkwang Lim, Yonsei University, Department of Atmospheric Sciences, Seoul, South Korea, Thomas F Eck, Universities Space Research Association, Greenbelt, MD, United States, Brent Holben, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Michael J Garay, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States

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