9:00 AM - 10:30 AM
[ACG37-P03] Development of the EarthCARE/MSI Cloud Product Algorithm with Joint Simulator Analysis Data
Keywords:Satellite obversion, Cloud properties retrieval, EarthCARE, Joint Simulator, SMILE
Our cloud phase & cloud properties algorithm for Earth Clouds, Aerosols and Radiation Explorer/multi-spectral imager (EarthCARE/MSI) L2 cloud products has been updated to v0.3 by FY2021. The cloud phase detection algorithm (CLAUDIA) is based on Ishida and Nakajima (JGR 2010), which calculate the cloud flag and determine the cloud phase, and quantitatively evaluate cloud existence by the Clear Confidence Level (CCL, value of 0 to 1). On the other hand, the retrieval algorithm for the cloud properties (CAPCOM) is based on Nakajima and Nakajima (JAS 1995), Kawamoto et al. (2001), etc. The CAPCOM uses LUT (Look up Table)-Iteration Method to retrieve the cloud optical and microphysical properties from satellite-derived non-absorption and absorption band.
In the newest version (v0.3), 15 scenes of EarthCARE/MSI L1c data generated by Joint Simulator were oprated and validated. Besides, we analyzed A-Train 1-year data by using latest CAPCOM algorithm, as well as MODIS-AUX data in 2007 and sent the results to U-Tokyo (PI: Suzuki, PD: Yamauchi).
We noticed that the MSI response function could shift substantially among some wavelengths (0.67 and 1.65 μm bands) owing to the spectral misalignment (SMILE), in which a shift in the center wavelength appears as a distortion in the spectral image. According to our evaluation, we found that SMILE for the cloud retrieval is not significant for oceanic cases, during this study NICAM-simulated with-smile-effect-data has been analyzed in FY2021. The paper about SMILE is submitted and published in Atmos. Meas. Tech..
We also focused on CFODD (Contoured Frequency by Optical Depth Diagram), which showed cloud-drizzle-rain transformation clearly. We believe that CFODD could be widely used in future works.
In the newest version (v0.3), 15 scenes of EarthCARE/MSI L1c data generated by Joint Simulator were oprated and validated. Besides, we analyzed A-Train 1-year data by using latest CAPCOM algorithm, as well as MODIS-AUX data in 2007 and sent the results to U-Tokyo (PI: Suzuki, PD: Yamauchi).
We noticed that the MSI response function could shift substantially among some wavelengths (0.67 and 1.65 μm bands) owing to the spectral misalignment (SMILE), in which a shift in the center wavelength appears as a distortion in the spectral image. According to our evaluation, we found that SMILE for the cloud retrieval is not significant for oceanic cases, during this study NICAM-simulated with-smile-effect-data has been analyzed in FY2021. The paper about SMILE is submitted and published in Atmos. Meas. Tech..
We also focused on CFODD (Contoured Frequency by Optical Depth Diagram), which showed cloud-drizzle-rain transformation clearly. We believe that CFODD could be widely used in future works.