dc.contributor.author | Lolli, S. |
dc.contributor.author | D'Adderio, L.P. |
dc.contributor.author | Campbell, J.R. |
dc.contributor.author | Sicard, Michaël |
dc.contributor.author | Welton, E.J. |
dc.contributor.author | Binci, A. |
dc.contributor.author | Rea, Alessandro |
dc.contributor.author | Tokay, A. |
dc.contributor.author | Comerón Tejero, Adolfo |
dc.contributor.author | Barragán Cuesta, Rubén |
dc.contributor.author | Baldasano Recio, José María |
dc.contributor.author | González, Sergio |
dc.contributor.author | Bech, Joan |
dc.contributor.author | Afflitto, Nicola |
dc.contributor.author | Lewis, J.R. |
dc.contributor.author | Madonna, Fabio |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Projectes i de la Construcció |
dc.date.accessioned | 2018-12-14T15:08:30Z |
dc.date.available | 2018-12-14T15:08:30Z |
dc.date.issued | 2018-07-01 |
dc.identifier.citation | Lolli, S., D'Adderio, L., Campbell, J., Sicard, M., Welton, E., Binci, A., Rea, A., Tokay, A., Comeron, A., Barragan, R., Baldasano, J., González, Sergio, Bech, J., Afflitto, N., Lewis, J., 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 sensing", 1 Juliol 2018, vol. 10, núm. 7. |
dc.identifier.issn | 2072-4292 |
dc.identifier.uri | http://hdl.handle.net/2117/125823 |
dc.description.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 h-1). |
dc.language.iso | eng |
dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció |
dc.subject.lcsh | Remote sensing |
dc.subject.other | Rainfall |
dc.subject.other | Lidar |
dc.subject.other | Disdrometer |
dc.subject.other | Evaporation |
dc.subject.other | Meteorology |
dc.subject.other | Climate change |
dc.subject.other | Latent heat |
dc.subject.other | Precipitation |
dc.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 |
dc.type | Article |
dc.subject.lemac | Teledetecció |
dc.contributor.group | Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
dc.contributor.group | Universitat Politècnica de Catalunya. GRIC - Grup de Recerca i Innovació de la Construcció |
dc.identifier.doi | 10.3390/rs10071102 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.mdpi.com/2072-4292/10/7/1102 |
dc.rights.access | Open Access |
local.identifier.drac | 23555909 |
dc.description.version | Postprint (published version) |
local.citation.author | Lolli, S.; D'Adderio, L.; Campbell, J.; Sicard, M.; Welton, E.; Binci, A.; Rea, A.; Tokay, A.; Comeron, A.; Barragan, R.; Baldasano, J.; González, Sergio; Bech, J.; Afflitto, N.; Lewis, J.; Madonna, F. |
local.citation.publicationName | Remote sensing |
local.citation.volume | 10 |
local.citation.number | 7 |