Improving Dust Aerosol Optical Depth (DAOD) Retrieval from the GEOKOMPSAT-2A (GK-2A) Satellite for Daytime and Nighttime Monitoring
The Advanced Meteorological Image (AMI) onboard GEOKOMPSAT 2A (GK-2A) enables the retrieval of dust aerosol optical depth (DAOD) from geostationary satellites using infrared (IR) channels. IR observations allow the retrieval of DAOD and the dust layer altitude (24 h) over surface properties, particu...
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ftdoajarticles:oai:doaj.org/article:e07d22dc620342d4a9f01607e26bfe54 2024-09-15T17:35:18+00:00 Improving Dust Aerosol Optical Depth (DAOD) Retrieval from the GEOKOMPSAT-2A (GK-2A) Satellite for Daytime and Nighttime Monitoring Soi Ahn Hyeon-Su Kim Jae-Young Byon Hancheol Lim 2024-02-01T00:00:00Z https://doi.org/10.3390/s24051490 https://doaj.org/article/e07d22dc620342d4a9f01607e26bfe54 EN eng MDPI AG https://www.mdpi.com/1424-8220/24/5/1490 https://doaj.org/toc/1424-8220 doi:10.3390/s24051490 1424-8220 https://doaj.org/article/e07d22dc620342d4a9f01607e26bfe54 Sensors, Vol 24, Iss 5, p 1490 (2024) dust aerosol optical depth (DAOD) GK-2A thermal infrared dust cumulative distribution function (CDF) aerosol robotic network (AERONET) Chemical technology TP1-1185 article 2024 ftdoajarticles https://doi.org/10.3390/s24051490 2024-08-05T17:49:49Z The Advanced Meteorological Image (AMI) onboard GEOKOMPSAT 2A (GK-2A) enables the retrieval of dust aerosol optical depth (DAOD) from geostationary satellites using infrared (IR) channels. IR observations allow the retrieval of DAOD and the dust layer altitude (24 h) over surface properties, particularly over deserts. In this study, dust events in northeast Asia from 2020 to 2021 were investigated using five GK-2A thermal IR bands (8.7, 10.5, 11.4, 12.3, and 13.3 μm). For the dust cloud, the brightness temperature differences (BTDs) of 10.5 and 12.3 μm were consistently negative, while the BTD of 8.7 and 10.5 μm varied based on the dust intensity. This study exploited these optical properties to develop a physical approach for DAOD lookup tables (LUTs) using IR channels to retrieve the DAOD. To this end, the characteristics of thermal radiation transfer were simulated using the forward model; dust aerosols were explained by BTD (10.5, 12.3 μm)—an intrinsic characteristic of dust aerosol. The DAOD and dust properties were gained from a brightness temperature (BT) of 10.5 μm and BTD of 10.5, 12.3 μm. Additionally, the cumulative distribution function (CDF) was employed to strengthen the continuity of 24-h DAOD. The CDF was applied to the algorithm by calculating the conversion value coefficient for the DAOD error correction of the IR, with daytime visible aerosol optical depth as the true value. The results show that the DAOD product can be successfully applied during the daytime and nighttime to continuously monitor the flow of yellow dust from the GK-2A satellite in northeast Asia. In particular, the validation results for IR DAOD were similar to the active satellite product (CALIPSO/CALIOP) results, which exhibited a tendency similar to that for IR DAOD at night. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Sensors 24 5 1490 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
dust aerosol optical depth (DAOD) GK-2A thermal infrared dust cumulative distribution function (CDF) aerosol robotic network (AERONET) Chemical technology TP1-1185 |
spellingShingle |
dust aerosol optical depth (DAOD) GK-2A thermal infrared dust cumulative distribution function (CDF) aerosol robotic network (AERONET) Chemical technology TP1-1185 Soi Ahn Hyeon-Su Kim Jae-Young Byon Hancheol Lim Improving Dust Aerosol Optical Depth (DAOD) Retrieval from the GEOKOMPSAT-2A (GK-2A) Satellite for Daytime and Nighttime Monitoring |
topic_facet |
dust aerosol optical depth (DAOD) GK-2A thermal infrared dust cumulative distribution function (CDF) aerosol robotic network (AERONET) Chemical technology TP1-1185 |
description |
The Advanced Meteorological Image (AMI) onboard GEOKOMPSAT 2A (GK-2A) enables the retrieval of dust aerosol optical depth (DAOD) from geostationary satellites using infrared (IR) channels. IR observations allow the retrieval of DAOD and the dust layer altitude (24 h) over surface properties, particularly over deserts. In this study, dust events in northeast Asia from 2020 to 2021 were investigated using five GK-2A thermal IR bands (8.7, 10.5, 11.4, 12.3, and 13.3 μm). For the dust cloud, the brightness temperature differences (BTDs) of 10.5 and 12.3 μm were consistently negative, while the BTD of 8.7 and 10.5 μm varied based on the dust intensity. This study exploited these optical properties to develop a physical approach for DAOD lookup tables (LUTs) using IR channels to retrieve the DAOD. To this end, the characteristics of thermal radiation transfer were simulated using the forward model; dust aerosols were explained by BTD (10.5, 12.3 μm)—an intrinsic characteristic of dust aerosol. The DAOD and dust properties were gained from a brightness temperature (BT) of 10.5 μm and BTD of 10.5, 12.3 μm. Additionally, the cumulative distribution function (CDF) was employed to strengthen the continuity of 24-h DAOD. The CDF was applied to the algorithm by calculating the conversion value coefficient for the DAOD error correction of the IR, with daytime visible aerosol optical depth as the true value. The results show that the DAOD product can be successfully applied during the daytime and nighttime to continuously monitor the flow of yellow dust from the GK-2A satellite in northeast Asia. In particular, the validation results for IR DAOD were similar to the active satellite product (CALIPSO/CALIOP) results, which exhibited a tendency similar to that for IR DAOD at night. |
format |
Article in Journal/Newspaper |
author |
Soi Ahn Hyeon-Su Kim Jae-Young Byon Hancheol Lim |
author_facet |
Soi Ahn Hyeon-Su Kim Jae-Young Byon Hancheol Lim |
author_sort |
Soi Ahn |
title |
Improving Dust Aerosol Optical Depth (DAOD) Retrieval from the GEOKOMPSAT-2A (GK-2A) Satellite for Daytime and Nighttime Monitoring |
title_short |
Improving Dust Aerosol Optical Depth (DAOD) Retrieval from the GEOKOMPSAT-2A (GK-2A) Satellite for Daytime and Nighttime Monitoring |
title_full |
Improving Dust Aerosol Optical Depth (DAOD) Retrieval from the GEOKOMPSAT-2A (GK-2A) Satellite for Daytime and Nighttime Monitoring |
title_fullStr |
Improving Dust Aerosol Optical Depth (DAOD) Retrieval from the GEOKOMPSAT-2A (GK-2A) Satellite for Daytime and Nighttime Monitoring |
title_full_unstemmed |
Improving Dust Aerosol Optical Depth (DAOD) Retrieval from the GEOKOMPSAT-2A (GK-2A) Satellite for Daytime and Nighttime Monitoring |
title_sort |
improving dust aerosol optical depth (daod) retrieval from the geokompsat-2a (gk-2a) satellite for daytime and nighttime monitoring |
publisher |
MDPI AG |
publishDate |
2024 |
url |
https://doi.org/10.3390/s24051490 https://doaj.org/article/e07d22dc620342d4a9f01607e26bfe54 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Sensors, Vol 24, Iss 5, p 1490 (2024) |
op_relation |
https://www.mdpi.com/1424-8220/24/5/1490 https://doaj.org/toc/1424-8220 doi:10.3390/s24051490 1424-8220 https://doaj.org/article/e07d22dc620342d4a9f01607e26bfe54 |
op_doi |
https://doi.org/10.3390/s24051490 |
container_title |
Sensors |
container_volume |
24 |
container_issue |
5 |
container_start_page |
1490 |
_version_ |
1810449831797194752 |