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| Titel |
A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals |
| VerfasserIn |
I. Binietoglou, S. Basart, L. Alados-Arboledas, V. Amiridis, A. Argyrouli, H. Baars, J. M. Baldasano, D. Balis, L. Belegante, J. A. Bravo-Aranda, P. Burlizzi, V. Carrasco, A. Chaikovsky, A. Comerón, G. D'Amico, M. Filioglou, M. J. Granados-Muñoz, J. L. Guerrero-Rascado, L. Ilic, P. Kokkalis, A. Maurizi, L. Mona, F. Monti, C. Muñoz-Porcar, D. Nicolae, A. Papayannis, G. Pappalardo, G. Pejanovic, S. N. Pereira, M. R. Perrone, A. Pietruczuk, M. Posyniak, F. Rocadenbosch, A. Rodríguez-Gómez, M. Sicard, N. Siomos, A. Szkop, E. Terradellas, A. Tsekeri, A. Vukovic, U. Wandinger, J. Wagner |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 8, no. 9 ; Nr. 8, no. 9 (2015-09-04), S.3577-3600 |
| Datensatznummer |
250116567
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| Publikation (Nr.) |
 copernicus.org/amt-8-3577-2015.pdf |
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| Zusammenfassung |
| 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. 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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