Ozone profile retrieval from recalibrated Global Ozone Monitoring Experiment data

Abstract

[1] The satellite instrument Global Ozone Monitoring Experiment (GOME), on board the ERS-2 mission of the European Space Agency, is measuring backscattered sunlight from the atmosphere in the range from 240 to 790 nm. This spectrum is used for deriving global, height-resolved information on the ozone distribution in the atmosphere. Contrary to total ozone column retrieval, the retrieval algorithm for ozone profiles requires absolutely calibrated reflectivity spectra. However, the in-flight calibration of the GOME reflectivity spectra needs to be corrected before the spectra can be used for profile retrieval. A general method for this calibration correction of satellite data and the profile retrieval method are described in this paper. The retrieved profiles from the recalibrated reflectivity spectra of GOME differ in the stratosphere by up to 50% from retrieved profiles without the correction. With the calibration correction, improved ozone profiles are retrieved for the complete range of 0-50 km. The GOME ozone profiles have been validated with ground and satellite measurements at a representative urban midlatitude and a rural tropical ground station.

Impact of using different ozone cross sections on ozone profile retrievals from Global Ozone Monitoring Experiment (GOME) ultraviolet measurements

“…Table 1 summarizes the spectroscopic measurement characteristics of these CS (Orphal, 2002). The BP CS are widely used in the scientific community for total column ozone and ozone profile retrievals and are currently included in the HITRAN database (Rothman et al, 2005) as a standard, after applying a wavelength shift of +0.015 nm (Orphal and Chance, 2003). However, they are noisier than the others (Orphal, 2002).…”

“…The photon penetration into the troposphere in the Huggins and Chappuis bands and the temperature-dependent vibrational structures in the Huggins bands provide information about tropospheric ozone. This idea has been applied to Global Ozone Monitoring Experiment (GOME) ultraviolet measurements by several groups (Munro et al, 1998;Hoogen et al, 1999;Hasekamp and Landgraf, 2001;van der A et al, 2002;Liu et al, 2005). However, it is important to fit the Huggins bands to a high precision (e.g., <0.1%) (Munro et al, 1998) for retrieving tropospheric ozone.…”

Earth science test suites to evaluate grid tools and middleware—examples for grid data access tools

“…The test suites definition is documented in the test suite specification document (Som de Cerff et al 2007a, b), which also provides a high level overview of all available test suites and a matrix matching requirements and test suites. The individual test suite description documents are gathered in two documents, the first aims at data management, the second aims at job management and job control Tran et al 2007). Of course individual test suites, together with their data and application are also available.…”

Improving ozone profile retrieval from spaceborne UV backscatter spectrometers using convergence behaviour diagnostics

“…To retrieve ozone profiles from its measurements in channels 1 and 2 (240-404 nm) several algorithms have been developed based on different techniques: optimal estimation (Barthia et al, 1996;Chance et al, 1997;Munro et al, 1998;Hoogen et al, 1999;Van der A et al, 2002;Liu et al, 2005), Philips-Tikhonov regularization (Hasekamp and Landgraf, 2001), and a neural network approach (Del Frate et al, 2002;Müller et al, 2003). An extensive intercomparison of these algorithms has been done by Meijer et al (2006).…”

“…At the Royal Netherlands Meteorological Institute (KNMI) the Ozone Profile Retrieval Algorithm (OPERA) (Van Oss and Spurr, 2002; Van der A et al, 2002) has been developed, based on the optimal estimation technique and able to ingest data from the satellite instruments GOME, GOME-2, and OMI. Since 2007, OPERA is used operationally for ozone profile retrievals from GOME-2 data in near real time.…”