Cloud, Atmospheric Radiation and Renewal Energy Application (CARE) Version 1.0 Cloud Top Property Product From Himawari-8/AHI: Algorithm Development and Preliminary Validation

Investigations of the effects clouds on Earth’s radiation budget demand accurate representations cloud top parameters, which can be efficiently obtained by large-scale satellite remote sensing approaches. However, insufficient utilization multiband information is one major sources uncertainty in products derived from geostationary satellites. In this study, we developed a new algorithm to estimate Cloud, Atmospheric Radiation and renewal Energy application (CARE) version 1.0 properties (cloud height (CTH), pressure (CTP), temperature (CTT)). The constructed ten thermal spectral measurements Himawari-8 observations using random forests method comprehensively consider contribution each band parameters. We chose highly Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) 2018 as true values. sensitivity analysis demonstrated that fully reproduced multiple channels addition digital elevation model (DEM) data. validation results 2019 CALIOP data confirm shows an effective performance, correlation coefficients (R) 0.89, 0.90 for CTH, CTP, CTT, respectively. Moreover, significant improvement ice estimation achieved, wherein CTT R value increased 0.46 0.70, well sea area, where 0.71 0.84 compared Japan Aerospace Exploration Agency (JAXA) P-tree system. further analyses performed herein capture diurnal cycle parameters different temporal scales over Asia-Pacific region.