Vertically Resolved Precipitation Intensity Retrieved through a Synergy between the Ground-Based NASA MPLNET Lidar Network Measurements, Surface Disdrometer Datasets and an Analytical Model Solution

In this paper, we illustrate a new, simple and complementary ground-based methodology to retrieve the vertically resolved atmospheric precipitation intensity through a synergy between measurements from the National Aeronautics and Space Administration (NASA) Micropulse Lidar network (MPLNET), an ana...

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Main Authors: Simone Lolli, Leo Pio D’Adderio, James R. Campbell, Michaël Sicard, Ellsworth J. Welton, Andrea Binci, Alessandro Rea, Ali Tokay, Adolfo Comerón, Ruben Barragan, Jose Maria Baldasano, Sergi Gonzalez, Joan Bech, Nicola Afflitto, Jasper R. Lewis, Fabio Madonna
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/10/7/1102
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spelling doaj-181cef68de124bdeb62182fe184375612020-11-25T00:05:20ZengMDPI AGRemote Sensing2072-42922018-07-01107110210.3390/rs10071102rs10071102Vertically Resolved Precipitation Intensity Retrieved through a Synergy between the Ground-Based NASA MPLNET Lidar Network Measurements, Surface Disdrometer Datasets and an Analytical Model SolutionSimone Lolli0Leo Pio D’Adderio1James R. Campbell2Michaël Sicard3Ellsworth J. Welton4Andrea Binci5Alessandro Rea6Ali Tokay7Adolfo Comerón8Ruben Barragan9Jose Maria Baldasano10Sergi Gonzalez11Joan Bech12Nicola Afflitto13Jasper R. Lewis14Fabio Madonna15CNR-IMAA, Consiglio Nazionale delle Ricerche, Contrada S. Loja snc, Tito Scalo, 85050 Potenza, ItalyCNR-ISAC, Consiglio Nazionale delle Ricerche, Roma, Via del Fosso del Cavaliere 100, 00133 Roma, ItalyNaval Research Laboratory, Monterey, CA 93940, USACommSensLab, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, 08034 Barcelona, SpainNASA GSFC, Code 612, Greenbelt, MD 20771, USADipartimento Di Matematica, Università degli Studi di Roma II, Via della Ricerca Scientifica 1, 00133 Rome, ItalyGRASI S.r.l., Via Tumoli, 03100 Frosinone, ItalyJCET-UMBC, University of Maryland Baltimore County, Baltimore, MD 21228, USACommSensLab, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, 08034 Barcelona, SpainCommSensLab, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, 08034 Barcelona, SpainEnvironmental Modeling Laboratory, Universitat Politècnica de Catalunya, 08007 Barcelona, SpainDepartment of Applied Physics—Meteorology, University of Barcelona, 08007 Barcelona, SpainDepartment of Applied Physics—Meteorology, University of Barcelona, 08007 Barcelona, SpainCNR-IMAA, Consiglio Nazionale delle Ricerche, Contrada S. Loja snc, Tito Scalo, 85050 Potenza, ItalyJCET-UMBC, University of Maryland Baltimore County, Baltimore, MD 21228, USACNR-IMAA, Consiglio Nazionale delle Ricerche, Contrada S. Loja snc, Tito Scalo, 85050 Potenza, ItalyIn this paper, we illustrate a new, simple and complementary ground-based methodology to retrieve the vertically resolved atmospheric precipitation intensity through a synergy between measurements from the National Aeronautics and Space Administration (NASA) Micropulse Lidar network (MPLNET), an analytical model solution and ground-based disdrometer measurements. The presented results are obtained at two mid-latitude MPLNET permanent observational sites, located respectively at NASA Goddard Space Flight Center, USA, and at the Universitat Politècnica de Catalunya, Barcelona, Spain. The methodology is suitable to be applied to existing and/or future lidar/ceilometer networks with the main objective of either providing near real-time (3 h latency) rainfall intensity measurements and/or to validate satellite missions, especially for critical light precipitation (<3 mm h−1).http://www.mdpi.com/2072-4292/10/7/1102rainfalllidardisdrometerevaporationmeteorologyclimate changelatent heatprecipitation
collection DOAJ
language English
format Article
sources DOAJ
author Simone Lolli
Leo Pio D’Adderio
James R. Campbell
Michaël Sicard
Ellsworth J. Welton
Andrea Binci
Alessandro Rea
Ali Tokay
Adolfo Comerón
Ruben Barragan
Jose Maria Baldasano
Sergi Gonzalez
Joan Bech
Nicola Afflitto
Jasper R. Lewis
Fabio Madonna
spellingShingle Simone Lolli
Leo Pio D’Adderio
James R. Campbell
Michaël Sicard
Ellsworth J. Welton
Andrea Binci
Alessandro Rea
Ali Tokay
Adolfo Comerón
Ruben Barragan
Jose Maria Baldasano
Sergi Gonzalez
Joan Bech
Nicola Afflitto
Jasper R. Lewis
Fabio Madonna
Vertically Resolved Precipitation Intensity Retrieved through a Synergy between the Ground-Based NASA MPLNET Lidar Network Measurements, Surface Disdrometer Datasets and an Analytical Model Solution
Remote Sensing
rainfall
lidar
disdrometer
evaporation
meteorology
climate change
latent heat
precipitation
author_facet Simone Lolli
Leo Pio D’Adderio
James R. Campbell
Michaël Sicard
Ellsworth J. Welton
Andrea Binci
Alessandro Rea
Ali Tokay
Adolfo Comerón
Ruben Barragan
Jose Maria Baldasano
Sergi Gonzalez
Joan Bech
Nicola Afflitto
Jasper R. Lewis
Fabio Madonna
author_sort Simone Lolli
title Vertically Resolved Precipitation Intensity Retrieved through a Synergy between the Ground-Based NASA MPLNET Lidar Network Measurements, Surface Disdrometer Datasets and an Analytical Model Solution
title_short Vertically Resolved Precipitation Intensity Retrieved through a Synergy between the Ground-Based NASA MPLNET Lidar Network Measurements, Surface Disdrometer Datasets and an Analytical Model Solution
title_full Vertically Resolved Precipitation Intensity Retrieved through a Synergy between the Ground-Based NASA MPLNET Lidar Network Measurements, Surface Disdrometer Datasets and an Analytical Model Solution
title_fullStr Vertically Resolved Precipitation Intensity Retrieved through a Synergy between the Ground-Based NASA MPLNET Lidar Network Measurements, Surface Disdrometer Datasets and an Analytical Model Solution
title_full_unstemmed Vertically Resolved Precipitation Intensity Retrieved through a Synergy between the Ground-Based NASA MPLNET Lidar Network Measurements, Surface Disdrometer Datasets and an Analytical Model Solution
title_sort vertically resolved precipitation intensity retrieved through a synergy between the ground-based nasa mplnet lidar network measurements, surface disdrometer datasets and an analytical model solution
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2018-07-01
description In this paper, we illustrate a new, simple and complementary ground-based methodology to retrieve the vertically resolved atmospheric precipitation intensity through a synergy between measurements from the National Aeronautics and Space Administration (NASA) Micropulse Lidar network (MPLNET), an analytical model solution and ground-based disdrometer measurements. The presented results are obtained at two mid-latitude MPLNET permanent observational sites, located respectively at NASA Goddard Space Flight Center, USA, and at the Universitat Politècnica de Catalunya, Barcelona, Spain. The methodology is suitable to be applied to existing and/or future lidar/ceilometer networks with the main objective of either providing near real-time (3 h latency) rainfall intensity measurements and/or to validate satellite missions, especially for critical light precipitation (<3 mm h−1).
topic rainfall
lidar
disdrometer
evaporation
meteorology
climate change
latent heat
precipitation
url http://www.mdpi.com/2072-4292/10/7/1102
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