Articles | Volume 9, issue 11
https://doi.org/10.5194/amt-9-5441-2016
https://doi.org/10.5194/amt-9-5441-2016
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

Viewed

Total article views: 2,645 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,446 1,070 129 2,645 98 95
  • HTML: 1,446
  • PDF: 1,070
  • XML: 129
  • Total: 2,645
  • BibTeX: 98
  • EndNote: 95
Views and downloads (calculated since 13 Jun 2016)
Cumulative views and downloads (calculated since 13 Jun 2016)

Cited

Latest update: 28 Mar 2024
Download
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.