HR: 0830h
AN: A41E-0732    [PDF]
TI: The Evaluation of an improved AMSU rain rate algorithm
AU: * Qiu, S
EM: Shuang.Qiu@noaa.gov
AF: QSS Group, Inc., 4500 Forbes Blvd. Suite 200, Lanham, MD 20706 United States
AU: Pellegrino, P
EM: Paul.Pellegrino@noaa.gov
AF: QSS Group, Inc., 4500 Forbes Blvd. Suite 200, Lanham, MD 20706 United States
AU: Ferraro, R
EM: Ralph.R.Ferraro@noaa.gov
AF: NOAA/NESDIS/Office of Research and Applications, 5200 Auth Road, Camp Springs, MD 20746 United States
AU: Zhao, L
EM: Limin.Zhao@noaa.gov
AF: NOAA/NESDIS Office of Satellite Data Processing and Distribution, 4251 Suitland Road, Suitland, MD 20395 United States
AB: Improvements have been made to the rain rate retrieval from the Advanced Microwave Sounding Units (AMSU). The new features of the improved rain rate algorithm include the two-stream corrections on the satellite brightness temperatures, cloud and rain type classification and removal of the two ad hoc thresholds in the ice water path (IWP) and effective diameter (De) retrieval where the scattering signals are very small. A monthly mean comparison has been made between the improved algorithm and the current NOAA operational algorithm. In addition, comparison with monthly mean rainfall derived from SSMI, TRMM, and GPCP are also conducted in the evaluation. These comparisons indicate that the new algorithm greatly reduces the previous positive bias over ocean, while increases rainfall intensity and picks up more light rain over land. Also, Pacific Atolls rain gauges are used to demonstrate the greatly improved rain rate retrieval over the tropical Pacific ocean. Results of a winter time case study over California from February 2003 further confirm the enhanced ability of the new algorithm in identifying both light and heavy rain over land.
DE: 1854 Precipitation (3354)
DE: 3354 Precipitation (1854)
DE: 3360 Remote sensing
DE: 6062 Satellites
SC: Atmospheric Sciences [A]
MN: 2003 Fall Meeting