Statistical Retrieval of Ozone and Meteorological Parameters Using SHADOZ Observations and Radiative Transfer Model
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SHORT NOTE
Statistical Retrieval of Ozone and Meteorological Parameters Using SHADOZ Observations and Radiative Transfer Model Shuchita Srivastava 1 & P. K. Thapliyal 2 & M. V. Shukla 2 & J. S. H. Bisht 3 & D. Mitra 1
Received: 29 June 2015 / Accepted: 5 January 2016 # Indian Society of Remote Sensing 2016
Abstract A statistical retrieval algorithm has been developed using SHADOZ ozonesonde observations and radiative transfer model simulations for the retrieval of vertical profiles of temperature, water vapor and ozone. Retrieved profiles of ozone and meteorological parameters are compared with corresponding in-situ ozonesonde observations and IASI observations to test accuracy of the retrieval algorithm. The standard deviation error in the temperature profile, estimated using retrieved and ozonesonde observed profiles, is found to be in the range of 0.7–2.7° K. The percentage root mean square error (RMSE) estimated using retrieved and actual profiles of ozone and water vapor are found to be in the range of 5– 30 % and 10–30 %, respectively. The standard deviation error in temperature (2 to 3.5° K) and RMSE in water vapor (~35– 55 %) estimated using actual IASI observations (retrieved and observed) is relatively higher than the retrieval errors from the simulated radiances. The RMSE in the retrieval of total column ozone is also estimated using simulated and actual IASI radiances. The RMSE for simulated data is found to be 1.9 ± 1.4 %. The RMSE in the total column ozone estimated for actual IASI observations is found to be 3.8 ± 3.2 %. Inclusion of the zenith angle as a predictor in the regression coefficients has improved retrieval error of atmospheric parameters. The standard deviation error for temperature is improved by 0.2–0.3° K and RMSE for ozone and water vapor is
* Shuchita Srivastava [email protected]; [email protected]
1
Marine and Atmospheric Sciences Department, Indian Institute of Remote Sensing, Dehradun 248001, India
2
Space Applications Centre, Ahmedabad, India
3
Physical Research Laboratory, Ahmedabad, India
improved by 2–4 % and 4–7 % respectively in different atmospheric regions. Keywords Ozone . Radiative transfer model . Statistical retrieval . SHADOZ
Introduction Tropospheric ozone plays an important role in the chemistry and radiation budget of the Earth’s atmosphere. It produces highly reactive OH radical which defines the lifetime of several trace gases in the troposphere. Thus it controls the oxidation capacity of the troposphere. Also, lower tropospheric ozone is a pernicious pollutant having detrimental impacts on human health and crop production (Ellingsen et al. 2008). In the upper troposphere, ozone is a potential greenhouse gas and can have a pronounced impact on global warming and climate change (Gauss et al. 2006). In the stratosphere, about 90 % of total atmospheric ozone is present which protects biota on the earth from potential damage by absorbing the harmful solar ultraviolet radiation. Knowledge of vertical profiles of ozone along with meteorologic
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