Time series analysis of ground-based microwave measurements at K- and V-bands to detect temporal changes in water vapor and temperature profiles

Panda, Sibananda; Sahoo, Swaroop; Pandithurai, Govindan

doi:https://doi.org/10.5194/gi-6-15-2017

Articles | Volume 6, issue 1

https://doi.org/10.5194/gi-6-15-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gi-6-15-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 6, issue 1

Research article

|

18 Jan 2017

Research article |

| 18 Jan 2017

Time series analysis of ground-based microwave measurements at K- and V-bands to detect temporal changes in water vapor and temperature profiles

Sibananda Panda, Swaroop Sahoo, and Govindan Pandithurai

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Final revised paper (published on 18 Jan 2017)
Preprint (discussion started on 01 Jul 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'revision', Anonymous Referee #2, 18 Aug 2016
- AC1: 'Regarding the paper', Swaroop Sahoo, 24 Oct 2016
SC1: 'Time Series Analysis of Ground-Based Microwave Measurements at K- and V-Bands to Detect Temporal Changes in Water Vapor and Temperature Profiles', Jothiram Vivekanandan, 14 Sep 2016
- AC4: 'Response to reviewer comments', Swaroop Sahoo, 24 Oct 2016
- AC5: 'Response to reviewer comments - correct version', Swaroop Sahoo, 24 Oct 2016
RC2: 'Review report', Anonymous Referee #3, 26 Sep 2016
- AC2: 'Response to reviewer comments', Swaroop Sahoo, 24 Oct 2016
- AC3: 'Response to reviewer comments', Swaroop Sahoo, 24 Oct 2016
- AC6: 'Response to reviewer comments - correct version', Swaroop Sahoo, 24 Oct 2016

Short summary

The focus of the paper is estimating profiles of water vapor and temperature with high accuracy from microwave radiometer measurements, performed for the month of August 2011 as part of the Integrated Ground Campaign during the Cloud Aerosol Interaction and Precipitation Enhancement Experiment (CAIPEEX-IGOC). To improve the accuracy of retrieved profiles Bayesian optimal estimation has been used along with optimized background data set.