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Remote Sens. 2018, 10(7), 1102; https://doi.org/10.3390/rs10071102

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

1
CNR-IMAA, Consiglio Nazionale delle Ricerche, Contrada S. Loja snc, Tito Scalo, 85050 Potenza, Italy
2
JCET-UMBC, University of Maryland Baltimore County, Baltimore, MD 21228, USA
3
CNR-ISAC, Consiglio Nazionale delle Ricerche, Roma, Via del Fosso del Cavaliere 100, 00133 Roma, Italy
4
Dipartimento di Fisica, Università degli Studi di Ferrara, Via Saragat 1, 44121 Ferrara, Italy
5
Naval Research Laboratory, Monterey, CA 93940, USA
6
CommSensLab, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain
7
Ciències i Tecnologies de l’Espai—Centre de Recerca de l’Aeronàutica i de l’Espai/Institut d’Estudis Espacials de Catalunya (CTE-CRAE / IEEC), Universitat Politècnica de Catalunya, 08034 Barcelona, Spain
8
NASA GSFC, Code 612, Greenbelt, MD 20771, USA
9
Dipartimento Di Matematica, Università degli Studi di Roma II, Via della Ricerca Scientifica 1, 00133 Rome, Italy
10
GRASI S.r.l., Via Tumoli, 03100 Frosinone, Italy
11
Environmental Modeling Laboratory, Universitat Politècnica de Catalunya, 08007 Barcelona, Spain
12
Department of Applied Physics—Meteorology, University of Barcelona, 08007 Barcelona, Spain
13
Meteorological Surveillance and Forecasting Group, DT Catalonia, Agencia Estatal de Meteorología (AEMET), DT Catalonia. Arquitecte Sert, 1, 08003 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Received: 18 May 2018 / Revised: 5 July 2018 / Accepted: 9 July 2018 / Published: 11 July 2018
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Abstract

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 h1). View Full-Text
Keywords: rainfall; lidar; disdrometer; evaporation; meteorology; climate change; latent heat; precipitation rainfall; lidar; disdrometer; evaporation; meteorology; climate change; latent heat; precipitation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Lolli, S.; D’Adderio, L.P.; Campbell, J.R.; Sicard, M.; Welton, E.J.; Binci, A.; Rea, A.; Tokay, A.; Comerón, A.; Barragan, R.; Baldasano, J.M.; Gonzalez, S.; Bech, J.; Afflitto, N.; Lewis, J.R.; Madonna, F. 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 Sens. 2018, 10, 1102.

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