DocumentCode
3152111
Title
Air Mass Factor Calculations Based on Support Vector Regression Machine
Author
Han, Dong ; Chen, Liangfu ; Chen, Guojiang ; Wang, Zifeng ; Li, Shenshen
fYear
2009
fDate
28-30 Dec. 2009
Firstpage
43
Lastpage
47
Abstract
Nitrogen dioxide (NO2) plays a key role in the chemistry of the atmosphere. Based on the space borne measurements, the Differential Optical Absorption Spectroscopy (DOAS) method determines the NO2 slant column density (SCD) along the light path through the atmosphere in a given spectral window between 405 and 465 nm. Based on radiative transfer model, a Look-Up-Table (LUT) of Air Mass Factor (AMF) is derived. The look-up parameters of the LUT are the solar zenith angles (SZA) and the detector viewing zenith angles (VZA), azimuth angles (AA), the surface albedo, the aerosol loading, the cloud parameters and the profiles of pressure and temperature. Conventionally, the MF values are derived using interpolation from LUT, which leads to bias. The accuracy can be improved by the application of Support Vector Machine (SVM). The AMF of the LUT is used to be samples of SVM. By training the samples and predicting, the appropriate AMF values are derived. For comparison, the interpolation AMF values are also calculated. The intercomparison result shows the accuracy of SVM method is comparable to that of interpolation approach.
Keywords
aerospace computing; chemistry computing; interpolation; regression analysis; spectroscopy; support vector machines; table lookup; NO2; air mass factor calculations; atmosphere chemistry; differential optical absorption spectroscopy method; interpolation approach; lookup table; radiative transfer model; regression analysis; slant column density; support vector machine; Absorption; Atmosphere; Atmospheric measurements; Chemistry; Density measurement; Interpolation; Nitrogen; Spectroscopy; Support vector machines; Table lookup; DOAS; Look-Up- Table; NO2; SVM; air mass factor; interpolation;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental and Computer Science, 2009. ICECS '09. Second International Conference on
Conference_Location
Dubai
Print_ISBN
978-0-7695-3937-9
Electronic_ISBN
978-1-4244-5591-1
Type
conf
DOI
10.1109/ICECS.2009.27
Filename
5383557
Link To Document