Articles | Volume 8, issue 1
https://doi.org/10.5194/amt-8-369-2015
https://doi.org/10.5194/amt-8-369-2015
Research article
 | 
22 Jan 2015
Research article |  | 22 Jan 2015

Adaptive neuro-fuzzy inference system for temperature and humidity profile retrieval from microwave radiometer observations

K. Ramesh, A. P. Kesarkar, J. Bhate, M. Venkat Ratnam, and A. Jayaraman

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Cited articles

Ajil, K. S., Thapliyal, P. K., Shukla, M. V., Pal, P. K., Joshi, P. C., and Navalgund, R. R.: A New Technique for Temperature and Humidity Profile Retrieval From Infrared-Sounder Observations Using the Adaptive Neuro-Fuzzy Inference System, IEEE T. Geosci. Remot., 48, 1650–1659, April, 2010.
Bacanli, U. G., Firat, M., and Dikbas, F.: Adaptive Neuro-Fuzzy Inference System for drought forecasting, Stoch. Env. Res. Risk A., 23, 1143–1154, 2009.
Basha, G. and Ratnam, M. V.: Identification of atmospheric boundary layer height over a tropical station using high resolution radiosonde reflectivity profiles: Comparison with GPS radio occultation measurements, J. Geophys. Res., 114, D16101, https://doi.org/10.1029/2008JD011692, 2009.
Basili, P., Bonafoni, S., Ciotti, P., Marzano, F. S., d'Auria, G., and Pierdicca, N.: Retrieving atmospheric temperature profiles by microwave radiometry using a priori information on atmospheric spatial-temporal evolution, IEEE T. Geosci Remote, 39, 1896–1905, 2001.
Binco, L., Cimini, D., Marzano, F. S., and Ware, R.: Combining Microwave Radiometer and Wind Profiler Radar Measurements for High-Resolution Atmospheric Humidity Profiling, J. Atmos. Ocean. Tech., 22, 949–965, https://doi.org/10.1175/JTECH1771.1, 2005.
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Short summary
The study of atmospheric convection is important for the understanding of evolution of diurnal cycles of rainfall. High-resolution observations of vertical profiles of temperature and relative humidity are very useful for understanding the behaviour of these convections. Microwave radiometers are becoming useful tools for it. In this paper, we propose a new method to retrieve these profiles based on adaptive neuro-fuzzy interface systems and find that this method has a better skill of retrieval.