Abstract

The satellite measurements in nadir and limb viewing geometry provide a complementary view of the atmosphere. An effective combination of the limb and nadir measurements can provide a new information about atmospheric composition. In this work, we present tropospheric ozone column datasets that have been created using combination of total ozone column from OMI and TROPOMI with stratospheric ozone column dataset from several available limb-viewing instruments (MLS, OSIRIS, MIPAS, SCIAMACHY, OMPS-LP, GOMOS). We have developed further the methodological aspects of assessment of tropospheric ozone using the residual method using simulations with the chemistry-transport model SILAM. It has been shown that the accurate assessment of ozone in the upper troposphere and the lower stratosphere (UTLS) is of high importance for detecting the ground-level ozone patterns. The stratospheric ozone column is derived from a combination of ozone profiles from several satellite instruments in limb-viewing geometry. We developed a method for the data homogenization, which includes the removal of biases and a-posteriori estimation (validation) of random uncertainties, thus making the data from different instruments compatible with each other. The high horizontal and vertical resolution dataset of ozone profiles is created via interpolation of the limb profiles from each day to 1° × 1° horizonal grid. A new kriging-type interpolation method, which takes into account data uncertainties and the information about natural ozone variations from the SILAM-adjusted ozone field, has been developed. To mitigate the limited accuracy and coverage of the limb profile data in the UTLS, a smooth transition to the model data is applied below the tropopause. This allows estimation of stratospheric ozone column with full coverage of the UTLS. The derived ozone profiles are in very good agreement with collocated ozonesonde measurements. The residual method was successfully applied to OMI and TROPOMI clear-sky total ozone data in combination with the stratospheric ozone column from the high-resolution limb profile dataset. The resulting tropospheric ozone column is in very good agreement with other satellite data. The global distributions of tropospheric ozone exhibit enhancements associated with the regions of high tropospheric ozone production. The main created datasets are (i) monthly 1° × 1° global tropospheric ozone column dataset using OMI and limb instruments, (ii) monthly 1° × 1° global tropospheric ozone column dataset using TROPOMI and limb instruments and (iii) daily 1° × 1° interpolated stratospheric ozone column from limb instruments. Other datasets, which are created as an intermediate step of creating the tropospheric ozone column data, are: (i) daily 1° × 1° clear sky and total ozone column from OMI and TROPOMI (ii) Daily 1° × 1° homogenized and interpolated dataset of ozone profiles and (iii) daily 1° × 1° dataset of ozone profiles from SILAM simulations with adjustment to satellite data. These datasets can be used in various studies related to ozone distributions, variability and trends, both in the troposphere and the stratosphere.

Highlights

  • The detailed information about the tropospheric ozone is of high importance because it is one of the major environmental concerns

  • The satellite measurements in nadir and limb viewing geometry provide a complementary view of the atmosphere

  • We present tropospheric ozone column datasets that have been created using combination of total ozone column from OMI and TROPOMI with stratospheric ozone column dataset from several available limb-viewing instruments (MLS, OSIRIS, MIPAS, SCIAMACHY, OMPS-LP, GOMOS)

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Summary

Introduction

The detailed information about the tropospheric ozone is of high importance because it is one of the major environmental concerns. An effective combination of the 55 limb and nadir measurements of atmospheric composition can provide a new information about atmospheric composition Successful examples of such combination are tropospheric ozone datasets obtained by subtracting stratospheric columns from the total ozone columns, for OMI (Ozone Monitoring Instrument) nadir and MLS (Microwave Limb Sounder) profile measurements (Ziemke et al, 2006), and for SCIAMACHY (SCanning Imaging Spectrometer for Atmospheric CHartographY) limb-nadir matching measurements (Ebojie et al, 2016). The novelty of the approach is in combination of the measurements from several satellite instruments in limb-viewing geometry for the 80 stratospheric ozone column dataset. This paper presents the description of the methods developed within the ESA project SUNLIT (Synergy of Using Nadir and Limb Instruments for Tropospheric ozone monitoring) and shows some illustrative examples of the created datasets.

Ozone profiles from limb satellite measurements
The effect of sampling and averaging kernel
Conclusions from feasibility studies on the residual method
Gridded datasets from nadir instruments
Homogenized and interpolated dataset of ozone profiles
Homogenization of ozone profile data from the limb instruments
Stratospheric ozone column dataset
Comparisons of ozone profiles with ozone sondes
Comparison with CCD ozone 470
Findings
520 Acknowledgements
Full Text
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