Total ozone over Ankara and its forecasting using regression models

Authors: Aksoy, B.¹; Incecik, S.²; Topcu, S.²; Demirhan Bari, D.²; Kahya, C.²; Acar, Y.¹; Ozunlu, M.¹; Ekici, M.¹

Source: International Journal of Remote Sensing, Volume 30, Number 17, 2009 , pp. 4387-4400(14)

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Abstract:

The present study is concerned with the total ozone variation in Ankara, Turkey (39°57' N; 32°53' E) and developing a total ozone prediction model by Total Ozone Mapping Spectrometer (TOMS) and single-site aerological data (1984-2006). The daily averages of the total column ozone over Ankara show a seasonal variation, with larger values in spring/winter and lower in autumn/summer and a large day-to-day variability. In this study, in order to forecast the total column ozone over Ankara, a multi-linear regression equation was performed. Predictors are selected by stepwise regression method. The ozone value on the previous day, temperature at the 100 hPa pressure level, previous day's temperature for the 700 hPa pressure level and temperature difference for 50 hPa and 500 hPa are the most important predictors. The success of monthly prognostic total column ozone models built up for Ankara is tested by using Brewer MK III Spectrophotometer data and satellite (OMI) data with the upper-air data in 2007. The Brewer MKIII has been in operation since November 2006 in Ankara. The ground-based one-year data show good agreement with the satellite OMI data.

Document Type: Research article

DOI: http://dx.doi.org/10.1080/01431160802562297

Affiliations: 1: Turkish State Meteorological Service, Department of Research, Ankara, Turkey 2: Department of Meteorology, Faculty of Aeronautics and Astronautics, Istanbul Technical University, Maslak, Istanbul, Turkey

Publication date: 2009-01-01

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Total ozone over Ankara and its forecasting using regression models

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