Pairwise homogeneity assessment of HadISD

We report on preliminary steps in the homogenisation of HadISD, a sub-daily, station-based data set covering 1973–2013. Using temperature, dew point temperature, sea-level pressure and wind speeds, change points are detected using the Pairwise Homogenisation Algorithm from Menne and Williams Jr. (2...

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Main Authors: R. J. H. Dunn, K. M. Willett, C. P. Morice, D. E. Parker
Format: Article
Language:English
Published: Copernicus Publications 2014-08-01
Series:Climate of the Past
Online Access:http://www.clim-past.net/10/1501/2014/cp-10-1501-2014.pdf
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spelling doaj-281d8255295b411592e7e9425683675c2020-11-24T23:47:38ZengCopernicus PublicationsClimate of the Past1814-93241814-93322014-08-011041501152210.5194/cp-10-1501-2014Pairwise homogeneity assessment of HadISDR. J. H. Dunn0K. M. Willett1C. P. Morice2D. E. Parker3Met Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB, UKMet Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB, UKMet Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB, UKMet Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB, UKWe report on preliminary steps in the homogenisation of HadISD, a sub-daily, station-based data set covering 1973–2013. Using temperature, dew point temperature, sea-level pressure and wind speeds, change points are detected using the Pairwise Homogenisation Algorithm from Menne and Williams Jr. (2009). Monthly-mean values and monthly-mean diurnal ranges (temperature and dew point temperature) or monthly-maximum values (wind speeds) are processed using the full network of 6103 stations in HadISD. Where multiple change points are detected within 1 year, they are combined and the average date is used. Under the assumption that the underlying true population of inhomogeneity magnitudes is Gaussian, inhomogeneity magnitudes as small as around 0.5 °C, 0.5 hPa or 0.5 m s<sup>−1</sup> have been successfully detected. The change point dates and inhomogeneity magnitudes for each of the calculation methods will be provided alongside the data set to allow users to select stations which have different levels of homogeneity. We give an example application of this change point information in calculating global temperature values from HadISD and comparing these to CRUTEM4. Removing the most inhomogeneous stations results in a better match between HadISD and CRUTEM4 when matched to the same coverage. However, further removals of stations with smaller and fewer inhomogeneities worsen the match.http://www.clim-past.net/10/1501/2014/cp-10-1501-2014.pdf
collection DOAJ
language English
format Article
sources DOAJ
author R. J. H. Dunn
K. M. Willett
C. P. Morice
D. E. Parker
spellingShingle R. J. H. Dunn
K. M. Willett
C. P. Morice
D. E. Parker
Pairwise homogeneity assessment of HadISD
Climate of the Past
author_facet R. J. H. Dunn
K. M. Willett
C. P. Morice
D. E. Parker
author_sort R. J. H. Dunn
title Pairwise homogeneity assessment of HadISD
title_short Pairwise homogeneity assessment of HadISD
title_full Pairwise homogeneity assessment of HadISD
title_fullStr Pairwise homogeneity assessment of HadISD
title_full_unstemmed Pairwise homogeneity assessment of HadISD
title_sort pairwise homogeneity assessment of hadisd
publisher Copernicus Publications
series Climate of the Past
issn 1814-9324
1814-9332
publishDate 2014-08-01
description We report on preliminary steps in the homogenisation of HadISD, a sub-daily, station-based data set covering 1973–2013. Using temperature, dew point temperature, sea-level pressure and wind speeds, change points are detected using the Pairwise Homogenisation Algorithm from Menne and Williams Jr. (2009). Monthly-mean values and monthly-mean diurnal ranges (temperature and dew point temperature) or monthly-maximum values (wind speeds) are processed using the full network of 6103 stations in HadISD. Where multiple change points are detected within 1 year, they are combined and the average date is used. Under the assumption that the underlying true population of inhomogeneity magnitudes is Gaussian, inhomogeneity magnitudes as small as around 0.5 °C, 0.5 hPa or 0.5 m s<sup>−1</sup> have been successfully detected. The change point dates and inhomogeneity magnitudes for each of the calculation methods will be provided alongside the data set to allow users to select stations which have different levels of homogeneity. We give an example application of this change point information in calculating global temperature values from HadISD and comparing these to CRUTEM4. Removing the most inhomogeneous stations results in a better match between HadISD and CRUTEM4 when matched to the same coverage. However, further removals of stations with smaller and fewer inhomogeneities worsen the match.
url http://www.clim-past.net/10/1501/2014/cp-10-1501-2014.pdf
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