Evaluation of the GOES-R ABI LAP Retrieval Algorithm Using the GOES-13 Sounder

• Published in: Journal of atmospheric and oceanic technology Vol. 31; no. 1; pp. 3 - 19
• Main Authors: Lee, Yong-Keun, Li, Zhenglong, Li, Jun, Schmit, Timothy J
• Format: Journal Article
• Language: English
• Published: Boston American Meteorological Society 01.01.2014
• Subjects: Algorithms; Atmospheric radiation; Atmospheric radiation measurements; Atmospheric sciences; Atmospherics; Clouds; Downward long wave radiation; Global positioning systems; GOES satellites; GPS; Infrared radiation; Marine; Meteorological satellites; Microwave radiometers; Microwaves; NOAA; Positioning systems; Precipitable water; Radiance; Radiation measurement; Radiation-cloud interactions; Radiometers; Radiosondes; Retrieval; Root-mean-square errors; Satellites; Studies; Temperature; Water vapor; Water vapor profiles; Water vapour; Weather; Weather forecasting
• ISSN: 0739-0572; 1520-0426
• DOI: 10.1175/JTECH-D-13-00028.1

A physical retrieval algorithm has been developed for deriving the legacy atmospheric profile (LAP) product from infrared radiances of the Advanced Baseline Imager (ABI) on board the next-generation Geostationary Operational Environmental Satellite (GOES-R) series. In this study, the GOES-R ABI LAP retrieval algorithm is applied to the GOES-13 sounder radiance measurements (termed the GOES-13 LAP retrieval algorithm in this study) for its validation as well as for potential transition of the GOES-13 LAP retrieval algorithm for the operational processing of GOES sounder data. The GOES-13 LAP retrievals are compared with five different truth measurements: radiosonde observation (raob) and microwave radiometermeasured total precipitable water (TPW) at the Atmospheric Radiation Measurement Cloud and Radiation Testbed site, conventional raob, TPW measurements from the global positioning systemintegrated precipitable water NOAA network, and TPW measurements from the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E). The results show that with the GOES-R ABI LAP retrieval algorithm, the GOES-13 sounder provides better water vapor profiles than the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) forecast fields at the levels between 300 and 700 hPa. The root-mean-square error (RMSE) and standard deviation (STD) of the GOES-13 sounder TPW are consistently reduced from those of the GFS forecast no matter which measurements are used as the truth. These substantial improvements indicate that the GOES-R ABI LAP retrieval algorithm is well prepared to provide continuity of quality to some of the current GOES sounder products, and the algorithm can be transferred to process the current GOES sounder measurements for operational product generation.