Abstract

Abstract. Total column ozone (TCO) data from multiple satellite-based instruments have been combined to create a single near-global daily time series of ozone fields at 1.25∘ longitude by 1∘ latitude spanning the period 31 October 1978 to 31 December 2016. Comparisons against TCO measurements from the ground-based Dobson and Brewer spectrophotometer networks are used to remove offsets and drifts between the ground-based measurements and a subset of the satellite-based measurements. The corrected subset is then used as a basis for homogenizing the remaining data sets. The construction of this database improves on earlier versions of the database maintained first by the National Institute of Water and Atmospheric Research (NIWA) and now by Bodeker Scientific (BS), referred to as the NIWA-BS TCO database. The intention is for the NIWA-BS TCO database to serve as a climate data record for TCO, and to this end, the requirements for constructing climate data records, as detailed by GCOS (the Global Climate Observing System), have been followed as closely as possible. This new version includes a wider range of satellite-based instruments, uses updated sources of satellite data, extends the period covered, uses improved statistical methods to model the difference fields when homogenizing the data sets, and, perhaps most importantly, robustly tracks uncertainties from the source data sets through to the final climate data record which is now accompanied by associated uncertainty fields. Furthermore, a gap-free TCO database (referred to as the BS-filled TCO database) has been created and is documented in this paper. The utility of the NIWA-BS TCO database is demonstrated through an analysis of ozone trends from November 1978 to December 2016. Both databases are freely available for non-commercial purposes: the DOI for the NIWA-BS TCO database is https://doi.org/10.5281/zenodo.1346424 (Bodeker et al., 2018) and is available from https://zenodo.org/record/1346424. The DOI for the BS-filled TCO database is https://doi.org/10.5281/zenodo.3908787 (Bodeker et al., 2020) and is available from https://zenodo.org/record/3908787. In addition, both data sets are available from http://www.bodekerscientific.com/data/total-column-ozone (last access: June 2021).

Highlights

  • Total column ozone (TCO) has been identified as one of 50 essential climate variables (ECVs) by GCOS (Global Climate Observing System; GCOS-138, 2010; Bojinski et al, 2014)

  • – As stated in Sect. 1.1 of the OMPS Algorithm Theoretical Basis Document (ATBD), the algorithm used for retrieving the OMPS TCO is adapted from the heritage TOMS version 7 retrieval

  • This paper presents the construction of a new version (V3.4) of the National Institute of Water and Atmospheric Research (NIWA)-Bodeker Scientific (BS) TCO database and the development of the gap-free BS-filled TCO database

Read more

Summary

Introduction

Total column ozone (TCO) has been identified as one of 50 essential climate variables (ECVs) by GCOS (Global Climate Observing System; GCOS-138, 2010; Bojinski et al, 2014). The database was first developed by NIWA (the New Zealand National Institute of Water and Atmospheric Research) and, in the last decade, has been maintained and updated by Bodeker Scientific (BS). The version 3.4 (V3.4) database reported on here extends from 31 October 1978 to 31 December 2016 In constructing this database, the guidelines for generating climate data records of ECVs detailed in GCOS-143 (2010) have been adhered to. – New and updated sources of satellite-based TCO measurements are used, namely data from NPP-OMPS (National Polar-orbiting Partnership-Ozone Mapping and Profiler Suite), GOME-2 (Global Ozone Monitoring Experiment-2), and SCIAMACHY (Scanning Imaging Absorption Spectrometer for Atmospheric CHartographY) are included in the combined data set. – The high-resolution and low-resolution OMI (Ozone Monitoring Instrument) data sets both use a TOMS-like (version 8) retrieval algorithm. – As stated in Sect. 1.1 of the OMPS Algorithm Theoretical Basis Document (ATBD), the algorithm used for retrieving the OMPS TCO is adapted from the heritage TOMS version 7 retrieval

Determining corrections to TOMS and OMI data
Determining corrections to all other data sets
Uncertainties on the source data sets
Creating the combined data set
Validating the combined data set
Calculation of monthly mean and annual mean fields
Creating the BS-filled total column ozone database
The conservatively filled field – Field 1
The machine-learning-estimated field – Field 2
An algorithm for blending a primary and secondary TCO field
10 Trend analysis
11 Data availability
Findings
12 Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call