Development of perez-du mortier calibration algorithm for ground-based aerosol optical depth measurement with validation using SMARTS model

Jedol Dayou, and Fauziah Sulaiman, and Chang, Jackson Hian Wui and Rubena Yusoff, and Ag Sufiyan Abd. Hamid, and Justin Sentian , (2013) Development of perez-du mortier calibration algorithm for ground-based aerosol optical depth measurement with validation using SMARTS model. International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering, 7 (10). pp. 1543-1548.

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Official URL: http://scholar.waset.org/1999.7/17241

Abstract

Aerosols are small particles suspended in air that have wide varying spatial and temporal distributions. The concentration of aerosol in total columnar atmosphere is normally measured using aerosol optical depth (AOD). In long-term monitoring stations, accurate AOD retrieval is often difficult due to the lack of frequent calibration. To overcome this problem, a near-sea-level Langley calibration algorithm is developed using the combination of clear-sky detection model and statistical filter. It attempts to produce a dataset that consists of only homogenous and stable atmospheric condition for the Langley calibration purposes. In this paper, a radiance-based validation method is performed to further investigate the feasibility and consistency of the proposed algorithm at different location, day, and time. The algorithm is validated using SMARTS model based n DNI value. The overall results confirmed that the proposed calibration algorithm feasible and consistent for measurements taken at different sites and weather conditions.

Item Type:Article
Uncontrolled Keywords:Aerosol optical depth, direct normal irradiance, Langley calibration, radiance-based validation, SMARTS
Subjects:Q Science > QA Mathematics
Divisions:FACULTY > Faculty of Science and Natural Resources
ID Code:15188
Deposited By:IR Admin
Deposited On:20 Dec 2016 16:19
Last Modified:20 Dec 2016 16:19

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