Intercomparsion and Sensitivity Study of GOES-R ABI Cloud Mask and SST Quality Control Prototyped with MSG/SEVIRI

摘要

Geostationary Operational Environmental Satellite R-Series (GOES-R) will carry Advanced Baseline Imager (ABI) onboard. This paper presents intercomparison and sensitivity analysis of ABI Cloud Mask (ABI CM) and Sea Surface Temperature Quality Control (SST QC), prototyped with data from the Spinning Enhanced Visible and IR Imager (SEVIRI) onboard Meteosat Second Generation (MSG). The ABI CM provides to all downstream products initial liberal cloud detection by analyzing spectral, spatial and temporal signatures in satellite radiances. SST QC is specifically developed for stringent SST data screening irrespective of contamination source (cloud, aerosols, etc) by matching satellite SST and corresponding brightness temperature (BT) data with clear-sky references (blended satellite & in situ SST and radiative transfer model simulated BTs). Sequential implementation of the two masks reduces the processing time and provides a consistency check. Such implementation is feasible as ABI CM cloud false detection rate is small (0.5%) compared to Clear rate (15-20%). Analysis of SST QC mask suggests that SST product should be used up to 60 degrees view zenith angle, beyond which threshold product performance rapidly degrades and clear-sky sample diminishes. We analyzed performance of SST QC at the level of individual filters using new concept, filter transmission curve, a quantitative, data-independent characteristic of a filter screening capabilities across the full range of global SST anomalies.