EARLINET: potential operationality of a research network

Sicard, Michaël; D’Amico, Giuseppe; Comerón, Adolfo; Mona, Lucia; Alados-Arboledas, L.; Amodeo, Aldo; Baars, Holger; Belegante, Livio; Binietoglou, Ioannis; Bravo-Aranda, Juan Antonio; Fernández, Alfonso; Fréville, Patrick; Garcia-Vizcaino, David; Giunta, Aldo; Granados-Muñoz, María José; Guerrero-Rascado, Juan Luís; Hadjimitsis, Diofantos; Haefele, Alexander; Hervo, Maxime; Iarlori, M.; Kokkalis, P.; Lange, Diego; Mamouri, Rodanthi-Elisavet; Mattis, Ina; Molero, Francisco; Montoux, Nadège; Muñoz, Álvaro; Porcar, Constantino Muñoz; Navas-Guzmán, Francisco; Nicolae, Doina; Nisantzi, Argyro; Papagiannopoulos, Nikolaos; Papayannis, Alexandros; Pereira, S.; Preißler, Jana; Pujadas, M.; Rizi, V.; Rocadenbosch, Francesc; Sellegri, Karine; Simeonov, V.; Tsaknakis, G.; Wagner, Frank; Pappalardo, Gelsomina

doi:10.5194/amtd-8-6599-2015

Cited by 9 publications

(16 citation statements)

References 75 publications

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“…The lidar signals have a raw vertical resolution of a few meters and the final products have an effective resolution of a few hundred meters depending on filtering procedures and smoothness constraints used in the retrieval . The vertical resolution of the models, on the other hand, is typically coarser but depends on the vertical resolution of the meteorological driver (Simmons and Burridge, 1981;Mesinger, 1984). When performing a statistical comparison, the different vertical resolutions are less important as the features of individual dust transport cases will be smoothed.…”

Section: Methodsmentioning

confidence: 99%

A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals

Binietoglou¹,

Basart²,

Alados-Arboledas³

et al. 2015

Preprint

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Abstract. Systematic measurements of dust concentration profiles at 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 dataset 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. The observations, which include coincident multi-wavelength lidar and sun photometer measurements, were processed with the Lidar-Radiometer Inversion Code (LIRIC) to retrieve aerosol concentration profiles. The methodology proposed here shows advantages when compared to traditional evaluation techniques that utilize separately the available measurements such as separating the contribution of dust from other aerosol types on the lidar profiles and avoiding model assumptions related to the conversion of concentration fields to aerosol extinction values. When compared to LIRIC retrievals, the simulated dust vertical structures were found to be in good agreement for all models with correlation values between 0.5 and 0.7 in the 1 to 6 km range, where most of dust is typically observed. The absolute dust concentration was typically underestimated with mean bias values of −40 to −20 μg m−3 at 2 km, the altitude of maximum mean concentration. The reported differences among the models found in this comparison indicate the benefit of the systematic use of the proposed approach in future dust model evaluation studies.

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Section: Methodsmentioning

confidence: 99%

A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals

Binietoglou¹,

Basart²,

Alados-Arboledas³

et al. 2015

Preprint

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“…The Barcelona EARLINET station is located in an urban area of Barcelona in North-East of Spain, (41.389º N, 2.112º E, 115 m altitude asl), quite near the seashore of the western Mediterranean Sea (Pappalardo et al, 2015). The Granada EARLINET station is located in Granada city in the southern part of Spain (37.164º N, 3.60º5 W, 680 m altitude asl).…”

Section: Instrumentation and Toolsmentioning

confidence: 99%

“…The instrumentation used in this study consists of sun-photometer and lidar systems, located in the stations of Barcelona and Granada. The synergic combination of sun-photometers and lidars enables to improve the knowledge on optical and microphysical properties of aerosols and their vertical distribution (Sicard et al, 2015).…”

Section: Instrumentation and Toolsmentioning

confidence: 99%

Origin and pathways of the mineral dust transport to two Spanish EARLINET sites: Effect on the observed columnar and range-resolved dust optical properties

Mandija

Sicard

Comerón

et al. 2017

Atmospheric Research

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In this paper, is presented a method for estimation of the effect of the transport process to aerosol optical properties. Aerosol optical data retrieved by lidars and sun-photometer measurements, are applied to Saharan dust events observed simultaneously at the two EARLINET/AERONET sites of Barcelona and Granada during the periods of June-September of 2012 and 2013. For this purpose, elastic lidar profiles and sun-photometer columnar retrievals are analyzed together with satellite observations and dust forecast models. Granada presents more than twice Saharan dust outbreaks compared to Barcelona. The scenarios favoring the Saharan dust outbreaks are identified in both places. The mineral dust originating in the Sahara region and arriving at both stations is usually transport wither over the Atlas Mountains or through an Atlantic pathway. Analyses of dust events affecting both stations reveal how differences in the transport process lead to differences in the aerosol optical properties measured at each station. Mean dustrelated Ångström exponent is 1.8 times higher in Barcelona than in Granada. This difference is a result of the additional contribution of anthropogenic aerosol, mainly in the aerosol fine mode, during the transport of the mineral dust plume over the Iberian Peninsula.© <2017>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ DOI Highlights  Coincidence Saharan dust events over the Granada and Barcelona stations are studied.  Column integrated and the vertical resolved from AERONET and EARLINET are used.  Cluster analysis of Hysplit trajectories was involved in this study.  Key scenarios of Saharan dust intrusions over Iberian Peninsula are identified.  Variations of the optical properties, during the transport process are determined. *Highlights (for review)Origin and pathways of the mineral dust transport to two Spanish EARLINET sites: effect on the observed columnar and range-resolved dust optical properties

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“…Remote sensing profiling measurements can be used to improve dust modeling efforts at three different levels: diagnostic evaluation, near-real-time (NRT) evaluation, and assimilation (Seigneur et al, 2000;Sicard et al, 2015;Wang et al, 2014). In this study, we focus on the diagnostic evaluation of the model performance.…”

Section: Introductionmentioning

confidence: 99%

A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals

et al. 2015

Self Cite

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Published by Copernicus Publications on behalf of the European Geosciences Union. I. Binietoglou et al.: Dust model comparison methodologyAbstract. 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, DREAM-ABOL, DREAM8-NMME-MACC) using dust observations performed at 10 ACTRIS/EARLINET stations. The observations, which include coincident multi-wavelength lidar and sun photometer measurements, were processed with the Lidar-Radiometer Inversion Code (LIRIC) to retrieve aerosol concentration profiles. The methodology proposed here shows advantages when compared to traditional evaluation techniques that utilize separately the available measurements such as separating the contribution of dust from other aerosol types on the lidar profiles and avoiding model assumptions related to the conversion of concentration fields to aerosol extinction values. When compared to LIRIC retrievals, the simulated dust vertical structures were found to be in good agreement for all models with correlation values between 0.5 and 0.7 in the 1-6 km range, where most dust is typically observed. The absolute dust concentration was typically underestimated with mean bias values of −40 to −20 µg m −3 at 2 km, the altitude of maximum mean concentration. The reported differences among the models found in this comparison indicate the benefit of the systematic use of the proposed approach in future dust model evaluation studies.

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EARLINET: potential operationality of a research network

Cited by 9 publications

References 75 publications

A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals

A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals

Origin and pathways of the mineral dust transport to two Spanish EARLINET sites: Effect on the observed columnar and range-resolved dust optical properties

A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals

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