Improving Dust Aerosol Optical Depth 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...
Gespeichert in:
Veröffentlicht in: | Sensors (Basel, Switzerland) Switzerland), 2024-02, Vol.24 (5) |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 5 |
container_start_page | |
container_title | Sensors (Basel, Switzerland) |
container_volume | 24 |
creator | Ahn, Soi Kim, Hyeon-Su Byon, Jae-Young Lim, Hancheol |
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. |
doi_str_mv | 10.3390/s24051490 |
format | Article |
fullrecord | <record><control><sourceid>gale</sourceid><recordid>TN_cdi_gale_infotracacademiconefile_A786439364</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A786439364</galeid><sourcerecordid>A786439364</sourcerecordid><originalsourceid>FETCH-gale_infotracacademiconefile_A7864393643</originalsourceid><addsrcrecordid>eNqVTMtqAjEUDcWC1rrwD-4PaDNJqjNL6Sh2UV3ovoTxznglkwzJbaF_30FcuJUD5wXnCDHN5FzrQr4lZeR7Zgr5JEaZUWaWKyUHd34oXlK6SKm01vlIHD7bLoZf8g2UP4lhhTGk4GDfMVXWQYkdn-FgGZ0jRqhDhNL-MbUI1p9gR82Zr-kreOIQ-6dX8Vxbl3By07GYb9bHj-2ssQ6_ydeBo616nLClKnisqe9Xy3xhdKF7enjwD-w_TUs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Improving Dust Aerosol Optical Depth Satellite for Daytime and Nighttime Monitoring</title><source>DOAJ Directory of Open Access Journals</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Ahn, Soi ; Kim, Hyeon-Su ; Byon, Jae-Young ; Lim, Hancheol</creator><creatorcontrib>Ahn, Soi ; Kim, Hyeon-Su ; Byon, Jae-Young ; Lim, Hancheol</creatorcontrib><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.</description><identifier>ISSN: 1424-8220</identifier><identifier>EISSN: 1424-8220</identifier><identifier>DOI: 10.3390/s24051490</identifier><language>eng</language><publisher>MDPI AG</publisher><subject>Algorithms ; Artificial satellites ; Optical properties ; Product information ; Weather</subject><ispartof>Sensors (Basel, Switzerland), 2024-02, Vol.24 (5)</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,865,27928,27929</link.rule.ids></links><search><creatorcontrib>Ahn, Soi</creatorcontrib><creatorcontrib>Kim, Hyeon-Su</creatorcontrib><creatorcontrib>Byon, Jae-Young</creatorcontrib><creatorcontrib>Lim, Hancheol</creatorcontrib><title>Improving Dust Aerosol Optical Depth Satellite for Daytime and Nighttime Monitoring</title><title>Sensors (Basel, Switzerland)</title><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.</description><subject>Algorithms</subject><subject>Artificial satellites</subject><subject>Optical properties</subject><subject>Product information</subject><subject>Weather</subject><issn>1424-8220</issn><issn>1424-8220</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNqVTMtqAjEUDcWC1rrwD-4PaDNJqjNL6Sh2UV3ovoTxznglkwzJbaF_30FcuJUD5wXnCDHN5FzrQr4lZeR7Zgr5JEaZUWaWKyUHd34oXlK6SKm01vlIHD7bLoZf8g2UP4lhhTGk4GDfMVXWQYkdn-FgGZ0jRqhDhNL-MbUI1p9gR82Zr-kreOIQ-6dX8Vxbl3By07GYb9bHj-2ssQ6_ydeBo616nLClKnisqe9Xy3xhdKF7enjwD-w_TUs</recordid><startdate>20240201</startdate><enddate>20240201</enddate><creator>Ahn, Soi</creator><creator>Kim, Hyeon-Su</creator><creator>Byon, Jae-Young</creator><creator>Lim, Hancheol</creator><general>MDPI AG</general><scope/></search><sort><creationdate>20240201</creationdate><title>Improving Dust Aerosol Optical Depth Satellite for Daytime and Nighttime Monitoring</title><author>Ahn, Soi ; Kim, Hyeon-Su ; Byon, Jae-Young ; Lim, Hancheol</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-gale_infotracacademiconefile_A7864393643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Artificial satellites</topic><topic>Optical properties</topic><topic>Product information</topic><topic>Weather</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ahn, Soi</creatorcontrib><creatorcontrib>Kim, Hyeon-Su</creatorcontrib><creatorcontrib>Byon, Jae-Young</creatorcontrib><creatorcontrib>Lim, Hancheol</creatorcontrib><jtitle>Sensors (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahn, Soi</au><au>Kim, Hyeon-Su</au><au>Byon, Jae-Young</au><au>Lim, Hancheol</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improving Dust Aerosol Optical Depth Satellite for Daytime and Nighttime Monitoring</atitle><jtitle>Sensors (Basel, Switzerland)</jtitle><date>2024-02-01</date><risdate>2024</risdate><volume>24</volume><issue>5</issue><issn>1424-8220</issn><eissn>1424-8220</eissn><abstract>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.</abstract><pub>MDPI AG</pub><doi>10.3390/s24051490</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1424-8220 |
ispartof | Sensors (Basel, Switzerland), 2024-02, Vol.24 (5) |
issn | 1424-8220 1424-8220 |
language | eng |
recordid | cdi_gale_infotracacademiconefile_A786439364 |
source | DOAJ Directory of Open Access Journals; MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Algorithms Artificial satellites Optical properties Product information Weather |
title | Improving Dust Aerosol Optical Depth Satellite for Daytime and Nighttime Monitoring |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-16T13%3A48%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Improving%20Dust%20Aerosol%20Optical%20Depth%20Satellite%20for%20Daytime%20and%20Nighttime%20Monitoring&rft.jtitle=Sensors%20(Basel,%20Switzerland)&rft.au=Ahn,%20Soi&rft.date=2024-02-01&rft.volume=24&rft.issue=5&rft.issn=1424-8220&rft.eissn=1424-8220&rft_id=info:doi/10.3390/s24051490&rft_dat=%3Cgale%3EA786439364%3C/gale%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_galeid=A786439364&rfr_iscdi=true |