Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/9871
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: 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
Authors: Lolli, SimoneD’Adderio, Leo PioCampbell, James R.Sicard, MichaëlWelton, Ellsworth J.Binci, AndreaRea, AlessandroTokay, AliComerón, AdolfoBarragán, RubénBaldasano, José MaríaGonzález Herrero, Sergi ORCID RESEARCHERID Autor AEMETBech, JoanAfflitto, NicolaLewis, Jasper R.Madonna, Fabio
Keywords: Rainfall; Lidar; Disdrometer; Evaporation; Meteorology; Climate change; Latent heat
Issue Date: 2018
Publisher: Multidisciplinary Digital Publishing Institute
Citation: Remote Sensing. 2018, 10(7), 1102
Publisher version: https://dx.doi.org/10.3390/rs10071102
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).
Sponsorship : The 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.
URI: http://hdl.handle.net/20.500.11765/9871
ISSN: 2072-4292
Appears in Collections:Artículos científicos 2015-2018


Files in This Item:
  File Description SizeFormat 
remotesensing-10-0110...
2,77 MBAdobe PDFThumbnail
View/Open
Show full item record



Items in Arcimis are protected by Creative Commons License, unless otherwise indicated.

Arcimis Repository
Nota Legal Contacto y sugerencias