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Remote Sensing
Volume 15
Issue 5
10.3390/rs15051381
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Technical Note

Atmospheric Boundary Layer Height: Inter-Comparison of Different Estimation Approaches Using the Raman Lidar as Benchmark

by
Donato Summa
1,2,
Gemine Vivone
1,
Noemi Franco
2,
Giuseppe D’Amico
1,
Benedetto De Rosa
1,2 and
Paolo Di Girolamo
2,*
1
National Research Council-Institute of Methodologies for Environmental Analysis (CNR-IMAA), 85050 Tito, Italy
2
Scuola di Ingegneria, Università degli Studi della Basilicata, 85100 Potenza, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2023, 15(5), 1381; https://doi.org/10.3390/rs15051381
Submission received: 17 December 2022 / Revised: 24 February 2023 / Accepted: 27 February 2023 / Published: 28 February 2023
(This article belongs to the Special Issue New Developments in Remote Sensing for the Environment)
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Abstract

This work stems from the idea of improving the capability to measure the atmospheric boundary layer height (ABLH) in variable or unstable weather conditions or in the presence of turbulence and precipitation events. A new approach based on the use of rotational and roto-vibrational Raman lidar signals is considered and tested. The traditional gradient approach based on the elastic signals at wavelength 532 nm is also considered. Lidar data collected by the University of Basilicata Raman lidar (BASIL) within the Special Observation Period 1 (SOP 1) in Cardillargues (Ceveninnes–CV supersite) during the Hydrological Cycle in the Mediterranean Experiment (HyMeX) were used. Our attention was specifically focused on the data collected during the period 16–21 October 2012. ABLH estimates from the Raman lidar were compared against other innovative methods, such as the recently established Morphological Image Processing Approach (MIPA) and the temperature gradient technique applied to potential temperature obtained from radio-sounding data. For each considered methodology, a statistical analysis was carried out. In general, the results from the different methodologies are in good agreement. Some deviations have been observed in correspondence with quite unstable weather conditions.
Keywords: atmospheric boundary layer; water vapor; aerosol; range corrected signals; MIPA; potential temperature; lidar; remote sensing atmospheric boundary layer; water vapor; aerosol; range corrected signals; MIPA; potential temperature; lidar; remote sensing

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MDPI and ACS Style

Summa, D.; Vivone, G.; Franco, N.; D’Amico, G.; De Rosa, B.; Di Girolamo, P. Atmospheric Boundary Layer Height: Inter-Comparison of Different Estimation Approaches Using the Raman Lidar as Benchmark. Remote Sens. 2023, 15, 1381. https://doi.org/10.3390/rs15051381

AMA Style

Summa D, Vivone G, Franco N, D’Amico G, De Rosa B, Di Girolamo P. Atmospheric Boundary Layer Height: Inter-Comparison of Different Estimation Approaches Using the Raman Lidar as Benchmark. Remote Sensing. 2023; 15(5):1381. https://doi.org/10.3390/rs15051381

Chicago/Turabian Style

Summa, Donato, Gemine Vivone, Noemi Franco, Giuseppe D’Amico, Benedetto De Rosa, and Paolo Di Girolamo. 2023. "Atmospheric Boundary Layer Height: Inter-Comparison of Different Estimation Approaches Using the Raman Lidar as Benchmark" Remote Sensing 15, no. 5: 1381. https://doi.org/10.3390/rs15051381

APA Style

Summa, D., Vivone, G., Franco, N., D’Amico, G., De Rosa, B., & Di Girolamo, P. (2023). Atmospheric Boundary Layer Height: Inter-Comparison of Different Estimation Approaches Using the Raman Lidar as Benchmark. Remote Sensing, 15(5), 1381. https://doi.org/10.3390/rs15051381

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