EGU21-5149
https://doi.org/10.5194/egusphere-egu21-5149
EGU General Assembly 2021
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Multi-channel Imager Algorithm (MIA): A novel cloud top phase classification algorithm applied to Himawari-8 Geostationary Satellite

Yi Zeng1,2, Yannian Zhu1, Jiaxi Hu3, Minghuai Wang1,2, and Daniel Rosenfeld4
Yi Zeng et al.
  • 1Institute for Climate and Global Change Research and School of Atmospheric Sciences, Nanjing University, 210023 Nanjing, China
  • 2Joint International Research Laboratory of Atmospheric and Earth System Sciences & Institute for Climate and Global Change Research, Nanjing University, Nanjing, China
  • 3Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and NOAA/OAR, National Severe Storms Laboratory, Norman, Oklahoma
  • 4Department of Atmospheric Sciences, Hebrew University of Jerusalem, Jerusalem, Israel

Cloud top thermodynamic phase (liquid, or ice) classification is critical for the retrieval of cloud properties such as cloud top particle effective radius, cloud optical thickness and cloud water path. The physical basis for phase classification is the different absorption and scattering properties between water droplets and ice crystals over different wavelengths. Passive sensors always use the hand-tuned phase classification algorithms such as decision trees or voting schemes involving multiple thresholds. In order to improve the accuracy and universal applicability of phase classification algorithms, this study uses unsupervised K-means clustering method to classify phase using Himawari-8 (H8) multi-channel RGB images (multi-channel image algorithm, MIA). In order to evaluate the phase classification obtained by MIA, H8-CLP (H8 official product), we use CALIOP phase product as a benchmark. Through the evaluation of cloud top phase of cases from April to October in 2017, the hit rate of liquid and ice phase from H8-MIA is 88% and 65% respectively, and the total hit rate of H8-MIA algorithm is 72%. The hit rate of liquid and ice phase from H8-CLP is 81% and 62% respectively, and the total hit rate of H8-CLP algorithm is 68%. The hit rate of H8-MIA is higher than that of H8-CLP in both liquid and ice phases. It shows that the application of MIA algorithm to H8 satellite can provide more accurate and continuous cloud top phase information with high spatial and temporal resolution.

How to cite: Zeng, Y., Zhu, Y., Hu, J., Wang, M., and Rosenfeld, D.: Multi-channel Imager Algorithm (MIA): A novel cloud top phase classification algorithm applied to Himawari-8 Geostationary Satellite, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-5149, https://doi.org/10.5194/egusphere-egu21-5149, 2021.

Corresponding presentation materials formerly uploaded have been withdrawn.