New Transfer Function for SSM/I Based on an Expanded Neural Network Architecture

摘要

A new neural network (NN) SSM/I transfer function (OMBNN3) which retrieves windspeed (W), columnar water vapor (V), columnar liquid water (L), and SST, using only satellite data (five SSM/I brightness temperatures (BTs)) is introduced and compared with the current operational (GSW) algorithm and NN algorithms developed earlier (OMBNN1 and OMBNN2). The new NN algorithm retrieves V and L with an accuracy close to that of cal/val (for V) and Weng and Grody (for L) algorithms, and produces low resolution SSTs with moderate accuracy. OMBNN3 generates wind speeds up to approximately 23 m/a for the available test data, and has a theoretical upper limit of about 32 m/s.