Evaluation of LIRIC Algorithm Performance Using Independent Sun-Sky Photometer Data at Two Altitude Levels

The authors thank the FEDER program for the instrumentation used in this work and the University of Granada for supporting this study through the Excellence Units Program “Plan Propio. Programa23 Convocatoria 2017”. CIMEL Calibration was performed at the AERONET-EUROPE calibration center, supported...

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Bibliographic Details
Published in:Remote Sensing
Main Authors: Granados Muñoz, María José, Benavent Oltra, José Antonio, Pérez Ramírez, Daniel, Lyamani, Hassan, Guerrero Rascado, Juan Luis, Bravo Aranda, Juan Antonio, Valenzuela Gutiérrez, Antonio, Olmo Reyes, Francisco José, Alados Arboledas, Lucas
Format: Article in Journal/Newspaper
Language:English
Published: MDPI 2020
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Online Access:http://hdl.handle.net/10481/62395
https://doi.org/10.3390/rs12050842
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Summary:The authors thank the FEDER program for the instrumentation used in this work and the University of Granada for supporting this study through the Excellence Units Program “Plan Propio. Programa23 Convocatoria 2017”. CIMEL Calibration was performed at the AERONET-EUROPE calibration center, supported by ACTRIS. We also express our gratitude to the developers of the LIRIC algorithm and software. The authors thank Sierra Nevada National Park for support in the maintenance of the Sun-sky photometer station at Cerro Poyos. Maria J. Granados-Muñoz is funded by a Maria Sklodowska-Curie IF under grant agreement no. 796539. Juan Antonio Bravo-Aranda and Antonio Valenzuela received funding from the Marie Sklodowska-Curie Action Cofund 2016 EU project Athenea3i under grant agreement no. 754446. Jose Antonio Benavent-Oltra is funded by the University of Granada through “Plan Propio. Programa 7, Convocatoria 2019”. This work was also supported by the Ambizione program of the Swiss National Science Foundation (project no. PZ00P2 168114). This work evaluates the Lidar-Radiometer Inversion Code (LIRIC) using sun-sky photometers located at different altitudes in the same atmospheric column. Measurements were acquired during an intensive observational period in summer 2012 at Aerosols, Clouds, and Trace gases Research InfraStructure Network (ACTRIS)/Aerosol Robotic Network (AERONET) Granada (GRA; 37.16◦N, 3.61◦W, 680 m above sea level (a.s.l.)) and Cerro Poyos (CP; 37.11◦N, 3.49◦W, 1820 m a.s.l.) sites. Both stations operated AERONET sun-photometry, with an additional lidar system operating at Granada station. The extended database of simultaneous lidar and sun-photometry measurements from this study allowed the statistical analysis of vertically resolved microphysical properties retrieved with LIRIC, with 70% of the analyzed cases corresponding to mineral dust. Consequently, volume concentration values were 46 µm3 /cm3 on average, with a value of ~30 µm3 /cm3 corresponding to the coarse spheroid mode and concentrations below 10 µm3 /cm3 for the fine and coarse spherical modes. According to the microphysical properties’ profiles, aerosol particles reached altitudes up to 6000 m a.s.l., as observed in previous studies over the same region. Results obtained from comparing the LIRIC retrievals from GRA and from CP revealed good agreement between both stations with differences within the expected uncertainties associated with LIRIC (15%). However, larger discrepancies were found for 10% of the cases, mostly due to the incomplete overlap of the lidar signal and/or to the influence of different aerosol layers advected from the local origin located between both stations, which is particularly important in cases of low aerosol loads. Nevertheless, the results presented here demonstrate the robustness and self-consistency of LIRIC and consequently its applicability to large databases such as those derived from ACTRIS-European Aerosol Research Lidar Network (EARLINET) observations. This work was supported by the Spanish Ministry of Economy and Competitiveness through projects CGL2016-81092-R, and CGL2017-83538-C3-1-R; the Excellence network CGL2017-90884-REDT; by the European Union’s Horizon 2020 research and innovation program through ACTRIS project (grant agreement n. 654169).