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

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

doi:https://doi.org/10.5194/amt-8-369-2015

Articles | Volume 8, issue 1

https://doi.org/10.5194/amt-8-369-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-8-369-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 1

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

Download

Final revised paper (published on 22 Jan 2015)
Preprint (discussion started on 20 Mar 2014)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC C934: 'Comment on "Adaptive Neuro Fuzzy Inference System for Profiling of Atmosphere" by Ramesh et al.', Anonymous Referee #1, 15 May 2014
- AC C2186: 'Reply to Interactive comment on “Adaptive neuro fuzzy inference system for profiling of the atmosphere” by K. Ramesh et al. by Anonymous Referee #1', Amit Kesarkar, 15 Aug 2014
RC C1741: 'Paper Review: Adaptive neuro fuzzy inference system for profiling of atmosphere by Ramesh et. al.', Anonymous Referee #3, 16 Jul 2014
- AC C2205: 'Reply to Interactive comment on “Adaptive neuro fuzzy inference system for profiling of the atmosphere” by K. Ramesh et al. by Anonymous Referee #3 Received and published: 16 July 2014', Amit Kesarkar, 15 Aug 2014

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.