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Validation of GPM Rainfall and Drop Size Distribution Products through Disdrometers in Italy

Authors :
Elisa Adirosi
Mario Montopoli
Alessandro Bracci
Federico Porcù
Vincenzo Capozzi
Clizia Annella
Giorgio Budillon
Edoardo Bucchignani
Alessandra Lucia Zollo
Orietta Cazzuli
Giulio Camisani
Renzo Bechini
Roberto Cremonini
Andrea Antonini
Alberto Ortolani
Luca Baldini
Source :
Remote Sensing, Vol 13, Iss 11, p 2081 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

The high relevance of satellites for collecting information regarding precipitation at global scale implies the need of a continuous validation of satellite products to ensure good data quality over time and to provide feedback for updating and improving retrieval algorithms. However, validating satellite products using measurements collected by sensors at ground is still a challenging task. To date, the Dual-frequency Precipitation Radar (DPR) aboard the Core Satellite of the Global Precipitation Measurement (GPM) mission is the only active sensor able to provide, at global scale, vertical profiles of rainfall rate, radar reflectivity, and Drop Size Distribution (DSD) parameters from space. In this study, we compare near surface GPM retrievals with long time series of measurements collected by seven laser disdrometers in Italy since the launch of the GPM mission. The comparison shows limited differences in the performances of the different GPM algorithms, be they dual- or single-frequency, although in most cases, the dual-frequency algorithms present the better performances. Furthermore, the agreement between satellite and ground-based estimates depends on the considered precipitation variable. The agreement is very promising for rain rate, reflectivity factor, and the mass-weighted mean diameter (Dm), while the satellite retrievals need to be improved for the normalized gamma DSD intercept parameter (Nw).

Details

Language :
English
ISSN :
20724292
Volume :
13
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.2689435a2f91439cb7fc3141bcbc5903
Document Type :
article
Full Text :
https://doi.org/10.3390/rs13112081