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Development of GK-2A AMI Aerosol Detection Algorithm in the East-Asia Region Using Himawari-8 AHI Data

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Abstract

The GEO-KOMPSAT 2A (GK-2A) satellite is a next-generation geostationary meteorological satellite with multi-wavelength channels. The GK-2A Advanced Meteorological Imager (AMI) aerosol detection production (ADP) algorithm can detect aerosol types (e.g., dust, haze, volcanic ash), using visible and infrared channels. This algorithm is not employed in existing meteorological satellites and can detect four different aerosol types in the daytime and three at night. Here, cloud and aerosol detection were performed using Advanced Himawari Imager (AHI) data with channels similar to those of simulation data. Comparing the results with the Communication, Ocean and Meteorological Satellite (COMS) aerosol index (AI) and AHI RGB aerosol data revealed generally similar dust classification and excellent daytime haze and nighttime aerosol detection performances. Regarding detection of haze, dust, and undefined aerosols generated across East Asia, a percent correct (PC) of 0.76, probability of detection (POD) of 68%, and false alarm rate (FAR) of 33% were obtained for GK-2A ADP of dust when validated with Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Vertical Feature Mask (VFM) aerosol type data. Furthermore, the detection performance was ≥87% for haze and undefined aerosols, and the FAR was <30%. When Moderate Resolution Imaging Spectroradiometer (MODIS) L2 aerosol optical depth (AOD) data were used for validation (with and without AOD), the POD was 0.66 (ocean) and 0.87 (land), while the FAR was 0.29 (ocean) and 0.35 (land). Thus, aerosol detection performances of GK-2A ADP are similar to those of existing satellites and superior to satellites that use limited optical channels.

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Abbreviations

ADP:

Aerosol Detection Product

AI:

Aerosol Index

AOD:

Aerosol Optical Depth

AHI:

Advanced Himawari Imager

AMI:

Advanced Meteorological Imager

BT:

Brightness Temperature

CALIPSO:

Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation

COMS:

Communication, Ocean and Meteorological Satellite

FAR:

False Alarm Rate

GK-2A:

GEO-KOMPSAT 2A satellite

IR:

Infrared

MWIR:

Mid-wave Infrared

MODIS:

Moderate Resolution Imaging Spectroradiometer

PC:

Percent Correct

POD:

Probability Of Detection

RGB:

Red Green Blue

SWIR:

Shortwave Infrared

VFM:

Vertical Feature Mask

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Acknowledgements

This work was supported by the “Development of Radiation/Aerosol Algorithms” project, funded by ETRI, which is a subproject of the “Development of Geostationary Meteorological Satellite Ground Segment (NMSC-2019-01)” program funded by the National Meteorological Satellite Center of the Korea Meteorological Administration.

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Authors and Affiliations

  1. Research Center for Atmospheric Environment, Hankuk University of Foreign Studies, Yongin, 17035, South Korea

    Joon-Bum Jee

  2. Department of Atmospheric & Environmental Sciences, Gangneung-Wonju National University, Gangneung, 25457, South Korea

    Kyu-Tae Lee & Kwon-Ho Lee

  3. Research Institute of Radiation-Satellite, Gangneung-Wonju National University, Gangneung, 25457, South Korea

    Kyu-Tae Lee, Kwon-Ho Lee & Il-Sung Zo

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  1. Joon-Bum Jee
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Correspondence to Joon-Bum Jee.

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Jee, JB., Lee, KT., Lee, KH. et al. Development of GK-2A AMI Aerosol Detection Algorithm in the East-Asia Region Using Himawari-8 AHI Data. Asia-Pacific J Atmos Sci 56, 207–223 (2020). https://doi.org/10.1007/s13143-019-00156-3

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