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Passive microwave relative humidity retrievals using feedforward neural networks

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2 Author(s)
Cabrera-Mercader, C.R. ; Res. Lab. of Electron., MIT, Cambridge, MA, USA ; Staelin, D.H.

A technique for retrieving atmospheric humidity profiles using passive microwave spectral observations from satellite and multilayer feedforward neural networks (MFNN) is introduced. Relative humidity retrievals on a global scale from simulated radiances at fifteen frequencies between 23.8 and 183.3 GHz yielded rms errors in relative humidity of 6-14% over ocean and 6-15% over land at pressure levels ranging from 131 mbar to 1013 mbar. Comparison with a combined statistical and physical iterative retrieval scheme shows that superior retrievals can be obtained at a lower computational cost using MFNN

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Geoscience and Remote Sensing, IEEE Transactions on  (Volume:33 ,  Issue: 6 )