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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2014-08-01
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| Series: | Climate of the Past |
| Online Access: | http://www.clim-past.net/10/1501/2014/cp-10-1501-2014.pdf |
| _version_ | 1818441103956770816 |
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| author | R. J. H. Dunn K. M. Willett C. P. Morice D. E. Parker |
| author_facet | R. J. H. Dunn K. M. Willett C. P. Morice D. E. Parker |
| author_sort | R. J. H. Dunn |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-14T18:22:56Z |
| format | Article |
| id | doaj.art-281d8255295b411592e7e9425683675c |
| institution | Directory Open Access Journal |
| issn | 1814-9324 1814-9332 |
| language | English |
| last_indexed | 2024-12-14T18:22:56Z |
| publishDate | 2014-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Climate of the Past |
| spelling | doaj.art-281d8255295b411592e7e9425683675c2022-12-21T22:52:00ZengCopernicus 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 |
| spellingShingle | R. J. H. Dunn K. M. Willett C. P. Morice D. E. Parker Pairwise homogeneity assessment of HadISD Climate of the Past |
| title | 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_short | Pairwise homogeneity assessment of HadISD |
| title_sort | pairwise homogeneity assessment of hadisd |
| url | http://www.clim-past.net/10/1501/2014/cp-10-1501-2014.pdf |
| work_keys_str_mv | AT rjhdunn pairwisehomogeneityassessmentofhadisd AT kmwillett pairwisehomogeneityassessmentofhadisd AT cpmorice pairwisehomogeneityassessmentofhadisd AT deparker pairwisehomogeneityassessmentofhadisd |