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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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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