PERSIANN-MSA: A Precipitation Estimation Method from Satellite-Based Multispectral Analysis
نویسندگان
چکیده
منابع مشابه
On an Enhanced PERSIANN-CCS Algorithm for Precipitation Estimation
By employing wavelet and selected features (WSF), median merging (MM), and selected curve-fitting (SCF) techniques, the Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) has been improved. The PERSIANN-CCS methodology includes the following four main steps: 1) segmentation of satellite cloud images into cloud pat...
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GRANT W. PETTY Earth and Atmospheric Sciences Department, 1397 CTVL Bldg, Purdue University, West Lafayette, Indiana 47907-1397, USA W1TOLD F. KRAJEWSKI Department of Civil and Environmental Engineering, The University of Iowa, Iowa City, Iowa 52242-1585, USA Abstract The availability of satellite-derived rainfall products to hydrologists and other natural scientists has increased enormously in...
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ژورنال
عنوان ژورنال: Journal of Hydrometeorology
سال: 2009
ISSN: 1525-7541,1525-755X
DOI: 10.1175/2009jhm1139.1