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A new snowfall detection algorithm over land using measurements from the Advanced Microwave Sounding Unit (AMSU)
Author(s) -
Kongoli Cezar,
Pellegrino Paul,
Ferraro Ralph R.,
Grody Norman C.,
Meng Huan
Publication year - 2003
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2003gl017177
Subject(s) - advanced microwave sounding unit , environmental science , snow , microwave , remote sensing , meteorology , precipitation , radar , depth sounding , algorithm , water vapor , computer science , geology , telecommunications , oceanography , physics
This study introduces a new snowfall detection algorithm over land using AMSU measurements. The algorithm utilizes a combination of channels in the microwave window, water vapor and oxygen absorption regions. The new algorithm is combined with the current NOAA operational AMSU rain rate product for falling snow and rain areal extent retrievals over the U.S. These retrievals are compared with NEXRAD radar precipitation and local meteorological observations. Preliminary results demonstrate that the algorithm is robust in capturing winter precipitation with minimum classification errors.