Mostra el registre d'ítem simple

Synergistic mixed-layer height retrieval method using microwave radiometer and lidar ceilometer observations

dc.contributor.authorSilva, Marcos Paulo Aráujo da
dc.contributor.authorRocadenbosch Burillo, Francisco
dc.contributor.authorTanamachi, Robin
dc.contributor.authorSaeed, Umar
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2022-10-07T11:06:36Z
dc.date.available2022-10-07T11:06:36Z
dc.date.issued2022
dc.identifier.citationAraujo da Silva, M.P. [et al.]. Synergistic mixed-layer height retrieval method using microwave radiometer and lidar ceilometer observations. A: IEEE International Geoscience and Remote Sensing Symposium. "IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium: 17-22 July, 2022 Kuala Lumpur, Malaysia: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2022, p. 6566-6569. ISBN 978-1-6654-2792-0. DOI 10.1109/IGARSS46834.2022.9883098.
dc.identifier.isbn978-1-6654-2792-0
dc.identifier.urihttp://hdl.handle.net/2117/374166
dc.description.abstractThis paper tackles synergistic mixed-layer height (MLH) estimation via a combination of microwave radiometer (MWR) and lidar ceilometer (LC)-based estimates. While MLH-MWR estimates rely on potential temperature retrievals, MLH-LC estimates rely on aerosol gradients. The pros and cons of MLH retrievals obtained from MWR via the parcel method and from LC via an extended Kalman filter (EKF)-based method are used to motivate the synergistic algorithm. The synergistic algorithm is introduced as a maximum-likelihood combination of MLH-MWR and MLH-LC. Two case examples from the 2013 HOPE campaign at Jülich, Germany, are used to show the robustness of the synergistic method and the effect of surface temperature measurement error. Doppler wind lidar retrievals and radiosonde reference MLH estimates are used for validation.
dc.description.sponsorshipThis research is part of the projects PGC2018-094132-B-I00 and MDM-2016-0600 (“CommSensLab” Excellence Unit) funded by Ministerio de Ciencia e Investigación (MCIN)/ Agencia Estatal de Investigación (AEI)/ 10.13039/501100011033/ FEDER. Data were provided by Julich Observatory for Cloud Evolution (JOYCE-CF), a core facility funded by Deutsche Forschungsgemeinschaft via grant DFG LO 901/7-1. The work of M.P.A.S was supported under Grant PRE2018-086054 funded by MCIN/AEI/ 10.13039/501100011033 and FSE “El FSE invierte en tu futuro”. The European Commission collaborated under projects H2020 ACTRIS-IMP (GA871115) and H2020 ATMO-ACCESS (GA-101008004).
dc.format.extent4 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject.lcshTemperature measurements
dc.subject.lcshOptical radar
dc.subject.lcshAtmospheric aerosols
dc.subject.otherMixed-layer height
dc.subject.otherLidar
dc.subject.otherMicrowave radiometer
dc.subject.otherAtmospheric boundary layer
dc.titleSynergistic mixed-layer height retrieval method using microwave radiometer and lidar ceilometer observations
dc.typeConference report
dc.subject.lemacTermometria
dc.subject.lemacRadar òptic
dc.subject.lemacAerosols atmosfèrics
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.1109/IGARSS46834.2022.9883098
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9883098
dc.rights.accessOpen Access
local.identifier.drac34275965
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-094132-B-I00/ES/TELEDETECCION ATMOSFERICA MEDIANTE SENSORES COOPERATIVOS LIDAR, RADAR Y PASIVOS: APLICACIONES SOBRE TIERRA Y MAR PARA LA OBSERVACION ATMOSFERICA Y ENERGIA EOLICA OFF-SHORE/
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/871115/EU/Aerosol, Clouds and Trace Gases Research Infrastructure Implementation Project/ACTRIS IMP
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/101008004/EU/Solutions for Sustainable Access to Atmospheric Research Facilities/ATMO-ACCESS
local.citation.authorAraujo da Silva, M. P.; Rocadenbosch, F.; Tanamachi, R.; Saeed, U.
local.citation.contributorIEEE International Geoscience and Remote Sensing Symposium
local.citation.publicationNameIGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium: 17-22 July, 2022 Kuala Lumpur, Malaysia: proceedings
local.citation.startingPage6566
local.citation.endingPage6569


Fitxers d'aquest items

Thumbnail
Nom:
IGARSS_2022_MWR_Ceilometer_MLH ...
Mida:
10,52Mb
Format:
PDF
Visualitza/Obre

Aquest ítem apareix a les col·leccions següents

Mostra el registre d'ítem simple