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

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dc.contributor.authorLolli, Simone
dc.contributor.authorD’Adderio, Leo Pio
dc.contributor.authorCampbell, James R.
dc.contributor.authorSicard, Michaël
dc.contributor.authorWelton, Ellsworth J.
dc.contributor.authorBinci, Andrea
dc.contributor.authorRea, Alessandro
dc.contributor.authorTokay, Ali
dc.contributor.authorComerón, Adolfo
dc.contributor.authorBarragan, Ruben
dc.contributor.authorBaldasano, Jose Maria
dc.contributor.authorGonzalez, Sergi
dc.contributor.authorBech, Joan
dc.contributor.authorAfflitto, Nicola
dc.contributor.authorLewis, Jasper R.
dc.contributor.authorMadonna, Fabio
dc.date.accessioned2018-09-19T20:24:09Z
dc.date.available2018-09-19T20:24:09Z
dc.date.issued2018-07-11
dc.description.abstractIn 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).en_US
dc.description.sponsorshipThe MPL measurements and processing in Barcelona are supported by the European Union (H2020, grant 654109, ACTRIS-2), the European Fund for Regional Development, the Spanish Government (grants TEC2015-63832-P, CGL2015-65627-C3-2-R, CGL2016-81828-REDT and CGL2017-90884-REDT) and the Catalan Government (grant 2014 SGR 583). CommSensLab is a Unidad de Excelencia María de Maeztu (grant MDM-2016-0600) funded by the Agencia Estatal de Investigación.en_US
dc.description.urihttps://www.mdpi.com/2072-4292/10/7/1102en_US
dc.format.extent11 pagesen_US
dc.genrejournal articleen_US
dc.identifierdoi:10.13016/M21V5BH7Q
dc.identifier.citationSimone 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, Molecular Diversity Preservation International, 2018, https://doi.org/10.3390/rs10071102en_US
dc.identifier.urihttps://doi.org/10.3390/rs10071102
dc.identifier.urihttp://hdl.handle.net/11603/11330
dc.language.isoen_USen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectrainfallen_US
dc.subjectlidaren_US
dc.subjectdisdrometeren_US
dc.subjectevaporationen_US
dc.subjectmeteorologyen_US
dc.subjectclimate changeen_US
dc.subjectlatent heaten_US
dc.subjectprecipitationen_US
dc.titleVertically Resolved Precipitation Intensity Retrieved through a Synergy between the Ground-Based NASA MPLNET Lidar Network Measurements, Surface Disdrometer Datasets and an Analytical Model Solutionen_US
dc.typeTexten_US

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