Stratospheric Ozone: Vertically Resolved, zonal mean based on BDBP

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Stratospheric Ozone: Vertically Resolved, zonal mean based on BDBP
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Combined monthly mean vertical ozone profile database spanning the period 1979 to 2007. The database is completely filled such that there are no missing data. The raw individual ozone data are sourced from the BDBP database.  Monthly means are calculated from individual ozone measurements extracted from the BDBP in much the same way as in Hassler et al. (2009). Five "Tier" levels are available: 'raw', anthropogenic, natural, natural + volcanoes, all.  The monthly data are zonal and are made available at 70 altitudes (1 km) and pressure levels.

Key Strengths

Key Strengths

Complete global coverage from the surface to 70 km - gap free.

Realistic interannual variability

Severe ozone depletion in the Antarctic polar vortex is well captured.

Key Limitations

Key Limitations

Negative ozone trends in the tropical lower stratosphere may be over-estimated.

The data set does not include uncertainties.

The data sets being used as input have not been corrected for offsets and drifts against each other.

Please cite data sources, following the data providers' instructions
Dataset DOIs
None
Hosted Climate Index Files
None
Usage Restrictions
None

Expert User Guidance

Expert User Guidance

The following was contributed by Birgit Hassler (NOAA and CIRES; now at Bodeker Scientific), March, 2013:

The BDBP zonal mean, monthly mean data set is a vertically resolved, gap free ozone data set that spans the period 1979 to 2007. The data set is based on measurements from several different satellite instruments (SAGE I and SAGE II, HALOE, POAM II and III, LIMS, ILAS and ILAS II) and over 130 ozonesonde stations globally. These measurements provide the input for a regression model with which data gaps in the satellite and ozonesonde data are filled to obtain a gap-free data set.

The BDBP data set is available on 70 altitude or pressure levels, spanning the atmosphere from the Earth’s surface up to 70km or ~0.05hPa, and both ozone volume mixing ratio and ozone number density. Although a tropospheric ozone field is included in the data set, the main focus at its creation was the stratosphere. The variability contained in the data set resembles the variability of the observations and is obtained by including a multitude of basis functions in the regression model (Bodeker et al., 2013).

This data set is suitable for assessing ozone fields from chemistry–climate model simulations or for providing the ozone boundary conditions for global climate model simulations that do not treat stratospheric chemistry interactively.#

Cite this page

Acknowledgement of any material taken from or knowledge gained from this page is appreciated:

Hassler, Birgit & National Center for Atmospheric Research Staff (Eds). Last modified "The Climate Data Guide: Stratospheric Ozone: Vertically Resolved, zonal mean based on BDBP.” Retrieved from https://climatedataguide.ucar.edu/climate-data/stratospheric-ozone-vertically-resolved-zonal-mean-based-bdbp on 2024-12-19.


Citation of datasets is separate and should be done according to the data providers' instructions. If known to us, data citation instructions are given in the Data Access section, above.


Acknowledgement of the Climate Data Guide project is also appreciated:

Schneider, D. P., C. Deser, J. Fasullo, and K. E. Trenberth, 2013: Climate Data Guide Spurs Discovery and Understanding. Eos Trans. AGU, 94, 121–122, https://doi.org/10.1002/2013eo130001

Key Figures

Climatological (1979-2007) O3 range. [Climate Data Guide; D.Shea]

Monthly O3 climatologies (1979-2007). [Climate Data Guide; D.Shea]

Other Information

Earth system components and main variables
Type of data product
None
Dataset collections
None

Years of record
to
Data time period extended
None
Timestep
Monthly
Domain
Formats:
Input Data

satellite, balloon, ground based observations

Vertical Levels:
Missing Data Flag
Spatially complete
Ocean or Land
None
Spatial Resolution

5° lat (zonal mean); 70 levels

Model Resolution (reanalysis)
None
Data Assimilation Method
None
Model Vintage (reanalysis)
None