AHI-Derived Daytime Cloud Optical/Microphysical Properties and Their Evaluations With the Collection-6.1 MOD06 Product
Cloud optical/microphysical properties (COMPs) with a high spatiotemporal resolution are required for monitoring the evolution of convective clouds, studying aerosol-cloud-precipitation interactions, and evaluating cloud microphysics parameterization schemes in weather and climate models. This study...
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description | Cloud optical/microphysical properties (COMPs) with a high spatiotemporal resolution are required for monitoring the evolution of convective clouds, studying aerosol-cloud-precipitation interactions, and evaluating cloud microphysics parameterization schemes in weather and climate models. This study applied the bispectral method, commonly used for COMP retrievals, to Advanced Himawari Imager (AHI)/Himawari-8 observations. The AHI daytime cloud optical thickness ( \tau ) and cloud-top particle effective radius ( Re ) retrievals were then evaluated with the Collection-6.1 Moderate Resolution Imaging Spectroradiometer cloud product (MOD06) for a three-month period from June 1, 2017, to August 31, 2017. Overall, the AHI-retrieved COMP results are in good agreement with the MOD06 product. The correlation coefficients of \tau and Re between the AHI retrievals and MOD06 products are 0.76-0.89 and 0.63-0.87, respectively. Overestimations are mainly observed in the 1.6- \mu \text{m} Re (Re 1.6 ) and ice-phase 3.9- \mu \text{m} Re (Re 3.9 ) retrievals. There are \tau dependencies in the retrieval biases of \tau and Re 1.6 , as well as angular dependencies in the retrieval biases of \tau and ice-phase Re 3.9 . Moreover, the monthly mean composites for three COMP retrievals from the MOD06 and AHI algorithms are compared. Significant differences are only found between the two Re 1.6 products. This study also finds that AHI-retrieved Re and \tau values have a diurnal variation over land but not over oceans. |
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This study applied the bispectral method, commonly used for COMP retrievals, to Advanced Himawari Imager (AHI)/Himawari-8 observations. The AHI daytime cloud optical thickness (<inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula>) and cloud-top particle effective radius ( Re ) retrievals were then evaluated with the Collection-6.1 Moderate Resolution Imaging Spectroradiometer cloud product (MOD06) for a three-month period from June 1, 2017, to August 31, 2017. Overall, the AHI-retrieved COMP results are in good agreement with the MOD06 product. The correlation coefficients of <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula> and Re between the AHI retrievals and MOD06 products are 0.76-0.89 and 0.63-0.87, respectively. Overestimations are mainly observed in the 1.6-<inline-formula> <tex-math notation="LaTeX">\mu \text{m} </tex-math></inline-formula> Re (Re 1.6 ) and ice-phase 3.9-<inline-formula> <tex-math notation="LaTeX">\mu \text{m} </tex-math></inline-formula> Re (Re 3.9 ) retrievals. There are <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula> dependencies in the retrieval biases of <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula> and Re 1.6 , as well as angular dependencies in the retrieval biases of <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula> and ice-phase Re 3.9 . Moreover, the monthly mean composites for three COMP retrievals from the MOD06 and AHI algorithms are compared. Significant differences are only found between the two Re 1.6 products. This study also finds that AHI-retrieved Re and <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula> values have a diurnal variation over land but not over oceans.]]></description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2020.3027017</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Climate models ; Cloud computing ; Cloud optical thickness ; cloud-top particle effective radius ; Clouds ; Coefficients ; Convective clouds ; Correlation coefficient ; Correlation coefficients ; Daytime ; Diurnal variations ; Himawari ; Meteorological satellites ; Meteorology ; Microphysics ; Moderate Resolution Imaging Spectroradiometer (MODIS) ; MODIS ; Oceans ; Optical imaging ; Optical properties ; Optical sensors ; Optical thickness ; Parameterization ; Properties ; Resolution ; Retrieval ; Satellite broadcasting ; Spectroradiometers</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2021-08, Vol.59 (8), p.6431-6450</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-80481860d92fc598ecc608eb41b4f87574da8534eda2fcf97357ec358f4e4dfb3</citedby><cites>FETCH-LOGICAL-c293t-80481860d92fc598ecc608eb41b4f87574da8534eda2fcf97357ec358f4e4dfb3</cites><orcidid>0000-0002-9333-4055 ; 0000-0002-7721-9364 ; 0000-0002-6583-1476</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9220796$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27922,27923,54756</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9220796$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhuge, Xiaoyong</creatorcontrib><creatorcontrib>Zou, Xiaolei</creatorcontrib><creatorcontrib>Wang, Yuan</creatorcontrib><title>AHI-Derived Daytime Cloud Optical/Microphysical Properties and Their Evaluations With the Collection-6.1 MOD06 Product</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description><![CDATA[Cloud optical/microphysical properties (COMPs) with a high spatiotemporal resolution are required for monitoring the evolution of convective clouds, studying aerosol-cloud-precipitation interactions, and evaluating cloud microphysics parameterization schemes in weather and climate models. This study applied the bispectral method, commonly used for COMP retrievals, to Advanced Himawari Imager (AHI)/Himawari-8 observations. The AHI daytime cloud optical thickness (<inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula>) and cloud-top particle effective radius ( Re ) retrievals were then evaluated with the Collection-6.1 Moderate Resolution Imaging Spectroradiometer cloud product (MOD06) for a three-month period from June 1, 2017, to August 31, 2017. Overall, the AHI-retrieved COMP results are in good agreement with the MOD06 product. The correlation coefficients of <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula> and Re between the AHI retrievals and MOD06 products are 0.76-0.89 and 0.63-0.87, respectively. Overestimations are mainly observed in the 1.6-<inline-formula> <tex-math notation="LaTeX">\mu \text{m} </tex-math></inline-formula> Re (Re 1.6 ) and ice-phase 3.9-<inline-formula> <tex-math notation="LaTeX">\mu \text{m} </tex-math></inline-formula> Re (Re 3.9 ) retrievals. There are <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula> dependencies in the retrieval biases of <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula> and Re 1.6 , as well as angular dependencies in the retrieval biases of <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula> and ice-phase Re 3.9 . Moreover, the monthly mean composites for three COMP retrievals from the MOD06 and AHI algorithms are compared. Significant differences are only found between the two Re 1.6 products. This study also finds that AHI-retrieved Re and <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula> values have a diurnal variation over land but not over oceans.]]></description><subject>Algorithms</subject><subject>Climate models</subject><subject>Cloud computing</subject><subject>Cloud optical thickness</subject><subject>cloud-top particle effective radius</subject><subject>Clouds</subject><subject>Coefficients</subject><subject>Convective clouds</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Daytime</subject><subject>Diurnal variations</subject><subject>Himawari</subject><subject>Meteorological satellites</subject><subject>Meteorology</subject><subject>Microphysics</subject><subject>Moderate Resolution Imaging Spectroradiometer (MODIS)</subject><subject>MODIS</subject><subject>Oceans</subject><subject>Optical imaging</subject><subject>Optical properties</subject><subject>Optical sensors</subject><subject>Optical thickness</subject><subject>Parameterization</subject><subject>Properties</subject><subject>Resolution</subject><subject>Retrieval</subject><subject>Satellite broadcasting</subject><subject>Spectroradiometers</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kF9rwjAUxcPYYM7tA4y9BPbcmqRJmzyKbioojs2xxxLTWxqp1iWp4Ldfi7Kn-4dzzuX-EHqmJKaUqNFm9vkVM8JInBCWEZrdoAEVQkYk5fwWDQhVacSkYvfowfsdIZQLmg3QaTxfRFNw9gQFnupzsHvAk7ppC7w-Bmt0PVpZ45pjdfb9hD-6Hlyw4LE-FHhTgXX47aTrVgfbHDz-saHCoepSmroG0y-jNKZ4tZ6StLcXrQmP6K7UtYenax2i7_e3zWQeLdezxWS8jAxTSYgk4ZLKlBSKlUYoCcakRMKW0y0vZSYyXmgpEg6F7gSlyhKRgUmELDnwotwmQ_R6yT265rcFH_Jd07pDdzJnQiRCcdmVIaIXVfeo9w7K_OjsXrtzTkne4817vHmPN7_i7TwvF48FgH-9YoxkKk3-AC7fdjE</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Zhuge, Xiaoyong</creator><creator>Zou, Xiaolei</creator><creator>Wang, Yuan</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-9333-4055</orcidid><orcidid>https://orcid.org/0000-0002-7721-9364</orcidid><orcidid>https://orcid.org/0000-0002-6583-1476</orcidid></search><sort><creationdate>20210801</creationdate><title>AHI-Derived Daytime Cloud Optical/Microphysical Properties and Their Evaluations With the Collection-6.1 MOD06 Product</title><author>Zhuge, Xiaoyong ; Zou, Xiaolei ; Wang, Yuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-80481860d92fc598ecc608eb41b4f87574da8534eda2fcf97357ec358f4e4dfb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Climate models</topic><topic>Cloud computing</topic><topic>Cloud optical thickness</topic><topic>cloud-top particle effective radius</topic><topic>Clouds</topic><topic>Coefficients</topic><topic>Convective clouds</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Daytime</topic><topic>Diurnal variations</topic><topic>Himawari</topic><topic>Meteorological satellites</topic><topic>Meteorology</topic><topic>Microphysics</topic><topic>Moderate Resolution Imaging Spectroradiometer (MODIS)</topic><topic>MODIS</topic><topic>Oceans</topic><topic>Optical imaging</topic><topic>Optical properties</topic><topic>Optical sensors</topic><topic>Optical thickness</topic><topic>Parameterization</topic><topic>Properties</topic><topic>Resolution</topic><topic>Retrieval</topic><topic>Satellite broadcasting</topic><topic>Spectroradiometers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhuge, Xiaoyong</creatorcontrib><creatorcontrib>Zou, Xiaolei</creatorcontrib><creatorcontrib>Wang, Yuan</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on geoscience and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhuge, Xiaoyong</au><au>Zou, Xiaolei</au><au>Wang, Yuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>AHI-Derived Daytime Cloud Optical/Microphysical Properties and Their Evaluations With the Collection-6.1 MOD06 Product</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2021-08-01</date><risdate>2021</risdate><volume>59</volume><issue>8</issue><spage>6431</spage><epage>6450</epage><pages>6431-6450</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract><![CDATA[Cloud optical/microphysical properties (COMPs) with a high spatiotemporal resolution are required for monitoring the evolution of convective clouds, studying aerosol-cloud-precipitation interactions, and evaluating cloud microphysics parameterization schemes in weather and climate models. This study applied the bispectral method, commonly used for COMP retrievals, to Advanced Himawari Imager (AHI)/Himawari-8 observations. The AHI daytime cloud optical thickness (<inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula>) and cloud-top particle effective radius ( Re ) retrievals were then evaluated with the Collection-6.1 Moderate Resolution Imaging Spectroradiometer cloud product (MOD06) for a three-month period from June 1, 2017, to August 31, 2017. Overall, the AHI-retrieved COMP results are in good agreement with the MOD06 product. The correlation coefficients of <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula> and Re between the AHI retrievals and MOD06 products are 0.76-0.89 and 0.63-0.87, respectively. Overestimations are mainly observed in the 1.6-<inline-formula> <tex-math notation="LaTeX">\mu \text{m} </tex-math></inline-formula> Re (Re 1.6 ) and ice-phase 3.9-<inline-formula> <tex-math notation="LaTeX">\mu \text{m} </tex-math></inline-formula> Re (Re 3.9 ) retrievals. There are <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula> dependencies in the retrieval biases of <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula> and Re 1.6 , as well as angular dependencies in the retrieval biases of <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula> and ice-phase Re 3.9 . Moreover, the monthly mean composites for three COMP retrievals from the MOD06 and AHI algorithms are compared. Significant differences are only found between the two Re 1.6 products. This study also finds that AHI-retrieved Re and <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula> values have a diurnal variation over land but not over oceans.]]></abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TGRS.2020.3027017</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0002-9333-4055</orcidid><orcidid>https://orcid.org/0000-0002-7721-9364</orcidid><orcidid>https://orcid.org/0000-0002-6583-1476</orcidid></addata></record> |
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subjects | Algorithms Climate models Cloud computing Cloud optical thickness cloud-top particle effective radius Clouds Coefficients Convective clouds Correlation coefficient Correlation coefficients Daytime Diurnal variations Himawari Meteorological satellites Meteorology Microphysics Moderate Resolution Imaging Spectroradiometer (MODIS) MODIS Oceans Optical imaging Optical properties Optical sensors Optical thickness Parameterization Properties Resolution Retrieval Satellite broadcasting Spectroradiometers |
title | AHI-Derived Daytime Cloud Optical/Microphysical Properties and Their Evaluations With the Collection-6.1 MOD06 Product |
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