This page lists studies quantifying how well homogenisation methods work and how large the uncertainties of the homogenised data are. The first list was based on the HOME bibliography maintained by Alba Gilabert.

Venema et al., 2012: Benchmarking homogenization algorithms for monthly data. (90)

Hausfather et al., 2016: Evaluating the impact of U.S. Historical Climatology Network homogenization using the U.S. Climate Reference Network. (80)

Gubler et al., 2017: The influence of station density on climate data homogenization. (85)

Leeper, R.D., et al., 2015: Observational Perspectives from U.S. Climate Reference Network (USCRN) and Cooperative Observer Program (COOP) Network: Temperature and Precipitation Comparison. (-)

Kuglitsch et al., 2012: Break detection of annual Swiss temperature series. (75)

Not assessed

Beaulieu, C., O. Seidou, T.B.M.J. Ouarda, X. Zhang, G. Boulet, and A. Yagouti, 2008: Intercomparison of homogenization techniques for precipitation data. Water Resour. Res., 44, W02425, doi: 10.1029/2006WR005615.

Brohan P, J.J. Kennedy, I. Haris, S.F.B. Tett, P.D. Jones. 2006. Uncertainty estimates in regional and global observed temperature changes: a new dataset from 1850. J. Geophysical Research, 111, D12106, doi: 10.1029/2005JD006548.

Domonkos, P., 2008: Testing of homogenisation methods: purposes, tools and problems of implementation. Proceedings of the 5th Seminar and Quality Control in Climatological Databases, edited by: Lakatos, M., Szentimrey, T., Bihari, Z. and Szalai, S., WCDMP-No. 71, WMO/TD-NO. 1493, 126–145.

Domonkos, P., 2011: Efficiency evaluation for detecting inhomogeneities by objective homogenization methods. Theor. Appl. Climatol., 105, 455–467, doi: 10.1007/s00704-011-0399-7.

Ducré-Robitaille, J.-F., L.A. Vincent, and G. Boulet, 2003: Comparison of techniques for detection of discontinuities in temperature series. Int. J. Climatol., 23, 1087–1101.

Menne, M.J., C.N. Williams Jr., and M.A. Palecki, 2010: On the reliability of the US surface temperature record. J. Geophys. Res. Atmos., 115, D11108, doi: 10.1029/2009JD013094.

Williams, C.N., M.J. Menne, and P.W. Thorne, 2012: Benchmarking the performance of pairwise homogenization of surface temperatures in the United States. J. Geophys. Res., 117, D05116, doi: 10.1029/2011JD016761.

Willett, Kate M., Claude N. Williams, Ian Jolliffe, Robert Lund, Lisa Alexander, Stefan Bronnimann, Lucie A. Vincent, Steve Easterbrook, Victor Venema, David Berry, Rachel Warren, Giuseppina Lopardo, Renate Auchmann, Enric Aguilar, Matthew Menne, Colin Gallagher, Zeke Hausfather, Thordis Thorarinsdottir, and Peter W. Thorne, 2014: A framework for benchmarking of homogenisation algorithm performance on the global scale. Geoscientific Instrumentation, Methods and Data Systems, 3, pp. 187-200, 10.5194/gi-3-187-2014.

Beaulieu, C., T.B.M.J. Ouarda, O. Seidou, G. Boulet, A. Yagouti, and C. Genest, 2005: Étude comparative des méthodes d’homogénéisation des séries de précipitations. Atelier de l’Association Canadienne des Ressources Hydriques Section Québec, Quebec, QC, Canada.

DeGaetano, A.T., 2006: Attributes of several methods for detecting discontinuities in mean temperature series. J. Clim., 19, 838-853.

Ducre-Robitaille, J.F., L.A. Vincent, and G. Boulet, 2003: Comparison of techniques for detection of discontinuities in temperature series. Int. J. Climatol., 23, 1087-1101.

Menne, M.J. and C.N. Williams, 2005: Detection of undocumented changepoints using multiple test statistics and composite reference series. J. Clim.,
18, 4271-4286.

Reeves, J., J. Chen, X.L.L. Wang, R. Lund, and Q.Q. Lu, 2007: A review and comparison of changepoint detection techniques for climate data. Journal of Applied Meteorology and Climatology, 46, 900-915.

Slonosky, V.C., P.D. Jones, and T.D. Davies, 1998: Homogenization Techniques for European Monthly Mean Surface Pressure Series. J. Clim., 12, 2568-2672.

Tayanç, M., M. Nüzhet, M. Karaca, and O. Yenigün, 1998: A comparative assessment of different methods for detecting inhomogeneites in turkish temperature data set, Int. J. Climatol., 18, 561-578.

Wang, X.L., Q.M. Wen, and Y. Wu, 2007: Penalized maximal t-test for detecting undocumented mean change in climate data series. Journal of Applied Meteorology and Climatology, 46, 916–931, 10.1175/JAM2504.1.