Articles | Volume 3, issue 2
https://doi.org/10.5194/gi-3-187-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gi-3-187-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| Highlight paper
| 
25 Sep 2014
Research article | Highlight paper |
| 25 Sep 2014
A framework for benchmarking of homogenisation algorithm performance on the global scale
K. Willett
Met Office Hadley Centre, FitzRoy Road, Exeter, UK
C. Williams
National Climatic Data Center, Ashville, NC, USA
I. T. Jolliffe
Exeter Climate Systems, University of Exeter, Exeter, UK
R. Lund
Department of Mathematical Sciences, Clemson University, Clemson, SC, USA
L. V. Alexander
ARC Centre of Excellence for Climate System Science and Climate Change Research Centre, University of New South Wales, Sydney, Australia
S. Brönnimann
Oeschger Center for Climate Change Research & Institute of Geography, University of Bern, Bern, Switzerland
L. A. Vincent
Climate Research Division, Science and Technology Branch, Environment Canada, Toronto, Canada
S. Easterbrook
Department of Computer Science, University of Toronto, Toronto, Canada
V. K. C. Venema
Meteorologisches Institut, University of Bonn, Bonn, Germany
D. Berry
National Oceanography Centre, Southampton, UK
R. E. Warren
College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK
G. Lopardo
Istituto Nazionale di Ricerca Metrologica (INRiM), Torino, Italy
R. Auchmann
Oeschger Center for Climate Change Research & Institute of Geography, University of Bern, Bern, Switzerland
E. Aguilar
Centre for Climate Change, Universitat Rovira i Virgili, Tarragona, Spain
M. J. Menne
National Climatic Data Center, Ashville, NC, USA
C. Gallagher
Department of Mathematical Sciences, Clemson University, Clemson, SC, USA
Z. Hausfather
Berkeley Earth, Berkeley, CA, USA
T. Thorarinsdottir
Norwegian Computing Center, Oslo, Norway
P. W. Thorne
Nansen Environmental and Remote Sensing Center, Bergen, Norway
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Cited
25 citations as recorded by crossref.
- Croatian high-resolution monthly gridded dataset of homogenised surface air temperature M. Perčec Tadić et al. https://doi.org/10.1007/s00704-022-04241-y
- Efficiency of Time Series Homogenization: Method Comparison with 12 Monthly Temperature Test Datasets P. Domonkos et al. https://doi.org/10.1175/JCLI-D-20-0611.1
- Quantifying exposure biases in early instrumental land surface air temperature observations E. Wallis et al. https://doi.org/10.1002/joc.8401
- Application of homogenization methods for Ireland's monthly precipitation records: Comparison of break detection results J. Coll et al. https://doi.org/10.1002/joc.6575
- Segmentation of Geophysical Data: A Big Data Friendly Approach D. Stockwell et al. https://doi.org/10.1016/j.procs.2015.07.277
- HadISDH land surface multi-variable humidity and temperature record for climate monitoring K. Willett et al. https://doi.org/10.5194/cp-10-1983-2014
- Use of generalized additive modelling techniques to create synthetic daily temperature networks for benchmarking homogenization algorithms R. Killick et al. https://doi.org/10.1093/climsys/dzz001
- Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods M. Buchmann et al. https://doi.org/10.5194/tc-16-2147-2022
- The EUSTACE global land station daily air temperature dataset Y. Brugnara et al. https://doi.org/10.1002/gdj3.81
- Simulation of temperature series and small networks from data B. Washington et al. https://doi.org/10.1002/joc.6129
- Comparison of HOMER and ACMANT homogenization methods using a central Pyrenees temperature dataset N. Pérez-Zanón et al. https://doi.org/10.5194/asr-12-111-2015
- Global observed long-term changes in temperature and precipitation extremes: A review of progress and limitations in IPCC assessments and beyond L. Alexander https://doi.org/10.1016/j.wace.2015.10.007
- Design and implementation of the detection software of a wireless microseismic acquisition station based on the Android platform Q. Zhang et al. https://doi.org/10.5194/gi-10-91-2021
- Influence of instrumentation on long temperature time series F. Acquaotta et al. https://doi.org/10.1007/s10584-019-02545-z
- Homogeneity assessment of phenological records from the Swiss Phenology Network Y. Brugnara et al. https://doi.org/10.1007/s00484-019-01794-y
- The joint influence of break and noise variance on the break detection capability in time series homogenization R. Lindau & V. Venema https://doi.org/10.5194/ascmo-4-1-2018
- An algorithm for daily temperature comparison: Co.Temp - comparing series of temperature D. Guenzi et al. https://doi.org/10.1007/s12145-019-00414-y
- Uncertainty in homogenized daily temperatures and derived indices of extremes illustrated using parallel observations in Canada L. Vincent et al. https://doi.org/10.1002/joc.5203
- Benchmarking the performance of homogenization algorithms on synthetic daily temperature data R. Killick et al. https://doi.org/10.1002/joc.7462
- Assessing potential of sparse‐input reanalyses for centennial‐scale land surface air temperature homogenisation I. Gillespie et al. https://doi.org/10.1002/joc.6898
- The Dice co‐efficient: a neglected verification performance measure for deterministic forecasts of binary events I. Jolliffe https://doi.org/10.1002/met.1532
- Uncertainty evaluation of Climatol's adjustment algorithm applied to daily air temperature time series O. Skrynyk et al. https://doi.org/10.1002/joc.6854
- Impact of missing data on the efficiency of homogenisation: experiments with ACMANTv3 P. Domonkos & J. Coll https://doi.org/10.1007/s00704-018-2488-3
- Local Model-Data Symbiosis in Meteorology and Climate Science W. Parker https://doi.org/10.1086/710621
- Time series homogenisation of large observational datasets: impact of the number of partner series on efficiency P. Domonkos & J. Coll https://doi.org/10.3354/cr01488
25 citations as recorded by crossref.
- Croatian high-resolution monthly gridded dataset of homogenised surface air temperature M. Perčec Tadić et al. https://doi.org/10.1007/s00704-022-04241-y
- Efficiency of Time Series Homogenization: Method Comparison with 12 Monthly Temperature Test Datasets P. Domonkos et al. https://doi.org/10.1175/JCLI-D-20-0611.1
- Quantifying exposure biases in early instrumental land surface air temperature observations E. Wallis et al. https://doi.org/10.1002/joc.8401
- Application of homogenization methods for Ireland's monthly precipitation records: Comparison of break detection results J. Coll et al. https://doi.org/10.1002/joc.6575
- Segmentation of Geophysical Data: A Big Data Friendly Approach D. Stockwell et al. https://doi.org/10.1016/j.procs.2015.07.277
- HadISDH land surface multi-variable humidity and temperature record for climate monitoring K. Willett et al. https://doi.org/10.5194/cp-10-1983-2014
- Use of generalized additive modelling techniques to create synthetic daily temperature networks for benchmarking homogenization algorithms R. Killick et al. https://doi.org/10.1093/climsys/dzz001
- Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods M. Buchmann et al. https://doi.org/10.5194/tc-16-2147-2022
- The EUSTACE global land station daily air temperature dataset Y. Brugnara et al. https://doi.org/10.1002/gdj3.81
- Simulation of temperature series and small networks from data B. Washington et al. https://doi.org/10.1002/joc.6129
- Comparison of HOMER and ACMANT homogenization methods using a central Pyrenees temperature dataset N. Pérez-Zanón et al. https://doi.org/10.5194/asr-12-111-2015
- Global observed long-term changes in temperature and precipitation extremes: A review of progress and limitations in IPCC assessments and beyond L. Alexander https://doi.org/10.1016/j.wace.2015.10.007
- Design and implementation of the detection software of a wireless microseismic acquisition station based on the Android platform Q. Zhang et al. https://doi.org/10.5194/gi-10-91-2021
- Influence of instrumentation on long temperature time series F. Acquaotta et al. https://doi.org/10.1007/s10584-019-02545-z
- Homogeneity assessment of phenological records from the Swiss Phenology Network Y. Brugnara et al. https://doi.org/10.1007/s00484-019-01794-y
- The joint influence of break and noise variance on the break detection capability in time series homogenization R. Lindau & V. Venema https://doi.org/10.5194/ascmo-4-1-2018
- An algorithm for daily temperature comparison: Co.Temp - comparing series of temperature D. Guenzi et al. https://doi.org/10.1007/s12145-019-00414-y
- Uncertainty in homogenized daily temperatures and derived indices of extremes illustrated using parallel observations in Canada L. Vincent et al. https://doi.org/10.1002/joc.5203
- Benchmarking the performance of homogenization algorithms on synthetic daily temperature data R. Killick et al. https://doi.org/10.1002/joc.7462
- Assessing potential of sparse‐input reanalyses for centennial‐scale land surface air temperature homogenisation I. Gillespie et al. https://doi.org/10.1002/joc.6898
- The Dice co‐efficient: a neglected verification performance measure for deterministic forecasts of binary events I. Jolliffe https://doi.org/10.1002/met.1532
- Uncertainty evaluation of Climatol's adjustment algorithm applied to daily air temperature time series O. Skrynyk et al. https://doi.org/10.1002/joc.6854
- Impact of missing data on the efficiency of homogenisation: experiments with ACMANTv3 P. Domonkos & J. Coll https://doi.org/10.1007/s00704-018-2488-3
- Local Model-Data Symbiosis in Meteorology and Climate Science W. Parker https://doi.org/10.1086/710621
- Time series homogenisation of large observational datasets: impact of the number of partner series on efficiency P. Domonkos & J. Coll https://doi.org/10.3354/cr01488
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