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HadAT: globally gridded radiosonde temperature anomalies from 1958 to 2012

HadAT is the Hadley Centre's radiosonde temperature product. This website contains a full audit trail of all the decisions made in the construction of HadAT, a range of fully gridded and globally / regionally averaged products on a monthly or seasonal resolution, and some frequently used graphics.

Brief description of the data

HadAT consists of temperature anomaly timeseries on 9 standard reporting pressure levels (850hPa to 30hPa). The data is also available as equivalent measures to the broad MSU satellite weighting functions. The gridded product is derived from 676 individual radiosonde stations with long-term records. Because of the criteria of data longevity the resulting dataset is limited to land areas and primarily Northern Hemisphere locations. Radiosondes are single launch instruments and there have been many changes in instruments and observing practices with time. HadAT has used a neighbour-based approach to attempt to adjust for these effects and produce a homogeneous product suitable for climate applications.

Cautionary note

It is important to note that significant uncertainty exists in radiosonde datasets reflecting the large number of choices available to researchers in their construction and the many heterogeneities in the data. To this end we strongly recommend that users consider, in addition to HadAT, the use of one or more of the following products to ensure their research results are robust. Currently, other radiosonde products of climate quality available from other centres (clicking on links takes you to external organisations) for bona fide research purposes are:

We have now automated the manual methodology employed in HadAT. This has enabled us to produce multiple data set realisations based on different methodological decisions, and perform a number of complex validation experiments to assess the large scale trend recovery. See the QUARC (Quantifying Uncertainty in Adjusted Radiosonde Climate records) webpage, McCarthy et al. (2008) and Titchner et al. (2009) for more information.

Other information

Anomaly data for last month updated

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When using the data set in a paper, the following is the correct citation to use:

Thorne, P. W., Parker, D. E., Tett, S. F. B., Jones, P. D., McCarthy, M., Coleman, H., and Brohan, P., 2005, Revisiting radiosonde upper-air temperatures from 1958 to 2002, J. Geophys. Res., 110, D18105, doi:10.1029/2004JD005753. (PDF file)

The following papers and reports also provide useful information on HadAT or other related radiosonde datasets:

Report on the updating of HadAT in near real-time:
Coleman, H. and Thorne, P.W., 2005, HadAT: An update to 2005 and development of the dataset website, Internal report for DEFRA (PDF file)
HadRT paper - our previous dataset
Parker, D. E., Gordon, M., Cullum, D. P. N., Sexton, D. M. H., Folland, C. K., and Rayner, N., 1997, A New Gridded Radiosonde Temperature Data Base and Recent Temperature Trends, Geophys. Res. Letters, 24, 1499-1503
Papers describing the Quality Control of the NOAA high quality dataset of 87 stations "LKS / RATPAC"
Lanzante, J. R., Klein, S. A., and Seidel, D. J., 2003, Temporal homogenization of monthly radiosonde temperature data. Part I: Methodology, J. Clim.,16, 224-240. (PDF file)
Lanzante, J. R., Klein, S. A., and Seidel, D. J., 2003, Temporal homogenization of monthly radiosonde temperature data. Part II: Trends, sensitivities, and MSU comparison, J. Clim.,16, 241-262. (PDF file)
Follow up work on uncertainties in HadAT:
McCarthy, M. P., H.A. Titchner, P.W. Thorne, S.FB. Tett, L.Haimberger, D.E. Parker, 2008, Assessing bias and uncertainty in the HadAT adjusted radiosonde climate record, J. Clim., 21, doi: 10.1175/2007JCLI1733.1 (PDF file)
Titchner, H. A., P. W. Thorne, M. P. McCarthy, S. F. B. Tett, L. Haimberger, and D. E. Parker, 2009, Critically reassessing tropospheric temperature trends from radiosondes using realistic validation experiments, J. Clim., 22, 465-485, doi: 10.1175/2008JCLI2419.1 (PDF file)

Dataset produced in collaboration with:

Met Office Hadley Centre for Climate Change CRU NCDC