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A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals
Title: A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals
Authors: Binietoglou, IoannisBasart, Sara ORCID Alados Arboledas, LucasAridimis, VassilisArgyrouli, AthinaBaars, HolgerBaldasano, José MaríaBalis, DimitrisBelegante, LivioBravo-Aranda, Juan AntonioBurlizzi, PasqualeSánchez Carrasco, Víctor ManuelChaikovsky, AnatoliComerón, AdolfoD'Amico, GiuseppeFilioglou, MariaGranados-Muñoz, María JoséGuerrero-Rascado, Juan LuisIlic, LukaKokkalis, PanosMaurizi, AlbertoMona, LuciaMonti, FabioMuñoz Porcar, ConstantinoNicolae, DoinaPapayannis, AlexPappalardo, GelsominaPejanovic, GoranPereira, Sérgio N.Perrone, Maria RitaPietruczuk, AleksanderPosyniak, MichałRocadenbosch, FrancescRodríguez Gómez, AlejandroSicard, MichaëlSiomos, NikolaosSzkop, ArturTerradellas, EnricAutor AEMETTsekeri, AlexandraVukovic Vimic, AnaWandinger, UllaWagner, J.
Keywords: Dust concentration; Dust transport models; Remote-sensing networks; Redes de teledetección; Polvo del desierto
Issue Date: 2015
Publisher: European Geosciences Union
Citation: Atmospheric Measurement Techniques. 2015, 8(9), p. 3577-3600
Publisher version:
Abstract: Systematic measurements of dust concentration profiles at a continental scale were recently made possible by the development of synergistic retrieval algorithms using combined lidar and sun photometer data and the establishment of robust remote-sensing networks in the framework of Aerosols, Clouds, and Trace gases Research InfraStructure Network (ACTRIS)/European Aerosol Research Lidar Network (EARLINET). We present a methodology for using these capabilities as a tool for examining the performance of dust transport models. The methodology includes considerations for the selection of a suitable data set and appropriate metrics for the exploration of the results. The approach is demonstrated for four regional dust transport models (BSC-DREAM8b v2, NMMB/BSC-DUST, DREAMABOL, DREAM8-NMME-MACC) using dust observations performed at 10 ACTRIS/EARLINET stations.
Sponsorship : The financial support of the ACTRIS Research Infrastructure Project supported by the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 262254 is gratefully acknowledged. This project has also received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 289923 – ITaRS. S. Basart and J. M. Baldasano acknowledge the CICYT project (CGL2010-19652 and CGL2013-46736) and Severo Ochoa (SEV- 2011-00067) programme of the Spanish Government. This program has received funding from the Ministry of Education and Science of the Republic of Serbia through project III43007.
ISSN: 1867-1381
Appears in Collections:Artículos científicos 2015-2018

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