The new Passive microwave Neural network Precipitation Retrieval (PNPR) algorithm for the cross-track scanning ATMS radiometer: description and verification study over Europe and Africa using GPM and TRMM spaceborne radars

Sanò, Paolo; Panegrossi, Giulia; Casella, Daniele; Marra, Anna C.; Di Paola, Francesco; Dietrich, Stefano

doi:https://doi.org/10.5194/amt-9-5441-2016

Articles | Volume 9, issue 11

https://doi.org/10.5194/amt-9-5441-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-9-5441-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 11

Research article

|

14 Nov 2016

Research article |

| 14 Nov 2016

The new Passive microwave Neural network Precipitation Retrieval (PNPR) algorithm for the cross-track scanning ATMS radiometer: description and verification study over Europe and Africa using GPM and TRMM spaceborne radars

Paolo Sanò, Giulia Panegrossi, Daniele Casella, Anna C. Marra, Francesco Di Paola, and Stefano Dietrich

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Final revised paper (published on 14 Nov 2016)
Preprint (discussion started on 13 Jun 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review', Anonymous Referee #1, 19 Jul 2016
- AC1: 'amt-2016-199-RC1_Answer_to_Review1', Paolo Sano', 07 Sep 2016
RC2: 'Review', Anonymous Referee #2, 29 Jul 2016
- AC2: 'amt-2016-199-RC1_Answer_to_Review2', Paolo Sano', 07 Sep 2016

Short summary

The objective of this paper is to describe the development and evaluate the performance of a totally new version of the Passive microwave Neural network Precipitation Retrieval (PNPR v2), an algorithm based on a neural network approach, designed to retrieve the instantaneous surface precipitation rate using the cross-track ATMS radiometer measurements.