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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Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2021-08, Vol.59 (8), p.6431-6450 |
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Zusammenfassung: | 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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ISSN: | 0196-2892 1558-0644 |
DOI: | 10.1109/TGRS.2020.3027017 |