Adapted Caussinus-Mestre Algorithm for Networks of Temperature series (ACMANT)

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International Journal of Geosciences

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"Adapted Caussinus-Mestre Algorithm for Networks of Temperature series (ACMANT)"
written by Peter Domonkos,
published by International Journal of Geosciences, Vol.2 No.3, 2011

has been cited by the following article(s):

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[1]	A statistical method for the attribution of change‐points in segmented Integrated Water Vapor difference time series
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[2]	Climatological reference stations: Definitions and requirements
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[3]	Updated analysis of surface warming trends in North China based on in-depth homogenized data (1951-2020)
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[4]	Overview of mathematical background of homogenization, summary of method MASH and comments on benchmark validation
	International Journal of Climatology, 2023

[5]	The benefits of homogenising snow depth series–Impacts on decadal trends and extremes for Switzerland
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[6]	A statistical method for the attribution of change-points in segmentation of IWV difference time series
	2023

[7]	Automation and evaluation of the interactive homogenization tool HOMER
	International Journal …, 2022

[8]	Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-) automatic homogenization methods
	The …, 2022

[9]	Homogeneity assessment of Swiss snow depth series: Comparison of break detection capabilities of (semi-) automatic homogenisation methods
	The Cryosphere …, 2022

[10]	Homogenizing Swiss snow depth series–Impact on decadal trends and extremes
	…, 2022

[11]	How does the homogenisation of snow measurements impact snow climatology in the Alps?(Hom4Snow)
	2022

[12]	Sensitivity of Change-Point Detection and Trend Estimates to GNSS IWV Time Series Properties
	Atmosphere, 2021

[13]	Combination of Using Pairwise Comparisons and Composite Reference Series: A New Approach in the Homogenization of Climatic Time Series with ACMANT
	Atmosphere, 2021

[14]	Validation metrics of homogenization techniques on artificially inhomogenized monthly temperature networks in Sweden and Slovenia (1950–2005)
	Scientific Reports, 2021

[15]	Combination of Using Pairwise Comparisons and Composite Reference Series: A New Approach in the Homogenization of Climatic Time Series
	2021

[16]	Efficiency of time series homogenization: method comparison with 12 monthly temperature test datasets
	2021

[17]	Homogenization and trends analysis of the Belgian historical precipitation time series
	2021

[18]	CONTROL DE CALIDAD Y HOMOGENEIZACI ON DE DATOS DE TEMPERATURA Y PRECIPITACI ON EN LA CUENCA ANDINA DEL RIO BENI
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[19]	Removal of bias introduced by considering calendar or rainfall day as 24‐hr period in daily minimum temperature series: Results from ACMANT approach
	2021

[20]	Report on the uncertainty of the homogenization process
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[21]	Homogenizing GPS integrated water vapor time series: Benchmarking break detection methods on synthetic data sets
	2020

[22]	Intensity-Duration-Frequency of Rainfall in Catalunya. Maximum Expected Precipitation and IDF Relationships at High Temporal and Spatial Resolution
	2020

[23]	Development of an updated global land in situ‐based data set of temperature and precipitation extremes: HadEX3
	2020

[24]	Application of homogenization methods for Ireland's monthly precipitation records: Comparison of break detection results
	2020

[25]	Anàlisi de la sobreestimació de la temperatura diürna a les estacions de l'antiga XMET (1995-2007)
	2020

[26]	Développement de nouvelles méthodes d'homogénéisation des données atmosphériques GNSS. Application à l'étude de la variabilité climatique.
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[27]	Changes in extreme temperature and precipitation indices: Using an innovative daily homogenized database in Israel
	2019

[28]	Homogenization of instrumental time series of air temperature in Central Italy (1930-2015)
	2019

[29]	Developing Gridded Climate Data Sets of Precipitation for Greece Based on Homogenized Time Series
	2019

[30]	A new method to study inhomogeneities in climate records: Brownian Motion or Random Deviations?
	2019

[31]	Impact of missing data on the efficiency of homogenisation: experiments with ACMANTv3
	Theoretical and Applied Climatology, 2018

[32]	Quality control and homogenization of the Belgian historical temperature data
	International Journal of Climatology, 2018

[33]	HOMOGENIZATION OF THE HELLENIC CLOUD COVER TIME SERIES-PRELIMINARY RESULTS
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[34]	Homogenization of Norway's mean monthly
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[35]	Effects of undetected data quality issues on climatological analyses
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[36]	HOMERUN: relative homogenisation of the Irish precipitation network
	2018

[37]	Detecting and adjusting artificial biases of long‐term temperature records in Israel
	International Journal of Climatology, 2018

[38]	Inter‐comparison of methods to homogenize daily relative humidity
	International journal of climatology, 2017

[39]	Homogenization of Long-Term Time-Series of Temperature Records in Cyprus
	Perspectives on Atmospheric Sciences, 2017

[40]	Homogenization of Precipitation Series in Greece
	Perspectives on Atmospheric Sciences, 2017

[41]	Homogenization and trend analysis of monthly mean and maximum wind speed time series in Finland, 1959–2015
	International journal of climatology, 2017

[42]	Homogenization of Ukrainian air temperature data
	International journal of climatology, 2017

[43]	Relative homogenisation of a dense monthly precipitation station network in Ireland
	2017

[44]	Cross validation of relative homogenisation algorithms using a monthly precipitation station network in Ireland
	2017

[45]	Variability modes of precipitation along a Central Mediterranean area and their relations with ENSO, NAO, and other climatic patterns
	Atmospheric Research, 2017

[46]	The joint influence of break and noise variance on the break detection capability in time series homogenization
	2017

[47]	Complete and homogeneous monthly air temperature series for the construction of 1981–2010 climatological normals in Croatia
	2017

[48]	Time series homogenisation of large observational datasets: impact of the number of partner series on efficiency
	2017

[49]	Complete and homogeneous monthly air temperature series for the construction of 1981-2010 climatological normals in Croatia
	2017

[50]	Les évolutions passées et futures du climat des îles Marquises et de la Société
	La …, 2017

[51]	Ομογενοποίηση κλιματικών χρονοσειρών της Ελλάδας και χωρική ανάλυση ομογενοποιημένων δεδομένων θερμοκρασίας
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[52]	Homogenisasi Data Unsur Iklim Sebagai Tahap Pra-Pemrosesan Kajian Perubahan Iklim Dengan Metode Acmant Dan Climatol
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[53]	LIFE SEC ADAPT PROJECT
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[54]	Homogenisation of temperature and precipitation time series with ACMANT3: method description and efficiency tests
	International journal of climatology, 2016

[55]	Temperature and precipitation regional climate series over the central Pyrenees during 1910–2013
	International journal of climatology, 2016

[56]	Climate data processing, assessment and corrective methods
	2016

[57]	An application of HOMER and ACMANT for homogenising monthly precipitation records in Ireland.
	2015

[58]	Review and discussion of homogenisation methods for climate data
	Physics and Chemistry of the Earth, Parts A/B/C, 2015

[59]	An application of HOMER and ACMANT for homogenising monthly precipitation records in Ireland
	2015

[60]	Comparison of HOMER and ACMANT homogenization methods using a central Pyrenees temperature dataset
	Advances in Science and Research, 2015

[61]	PATRONES TEMPORALES Y ESPACIALES DE LA TEMPERATURA URBANA DE ZARAGOZA
	2015

[62]	Reconstruction and homogenization of the longest instrumental precipitation series in the Iberian Peninsula (Barcelona, 1786–2014)
	International Journal of Climatology, 2015

[63]	Inhomogeneities detection in precipitation time series in Portugal using direct sequential simulation
	Atmospheric Research, 2015

[64]	IENet: A homogenised precipitation network for Ireland–preliminary analysis
	2015

[65]	Ireland with HOMER
	Proceedings of the 8th Seminar for Homogenisation and Quality Control in Climatological Databases and 3rd Conference on Spatial Interpolation in Climatology and Meteorology, 2014

[66]	Homogénéisation transfrontalière des températures sur le massif des Pyrénées
	XXXVII colloque de l’AIC, 2014

[67]	The Oslo temperature series 1837–2012: homogeneity testing and temperature analysis
	International Journal of Climatology, 2014

[68]	Homogenization of precipitation time series with ACMANT
	Theoretical and Applied Climatology, 2014

[69]	The ?s Temperature Series in Southern Norway–Homogeneity Testing And Climate Analysis
	Bulletin of Geography. Physical Geography Series, 2014

[70]	Evolution de la température en France depuis les années 1950: Constitution d'un nouveau jeu de séries homogénéisées de référence
	Rubrique: Climatologie, 2014

[71]	THE ACMANT2 SOFTWARE PACKAGE
	P Domonkos - c3.urv.cat, 2014

[72]	Investigating uncertainties in global gridded datasets of climate extremes
	Climate of the Past, 2014

[73]	P03 Which homogenisation method is appropriate for daily time series of relative humidity?
	B Chimani, J Nemec, I Auer, V Venema - KLIMATAG, 2014

[74]	Detection and correction of inhomogeneities in Greek climate temperature series
	International Journal of Climatology, 2014

[75]	Pairwise homogeneity assessment of HadISD
	Climate of the Past, 2014

[76]	El clima de los Pirineos: base de datos y primeros resultados
	Tiempo y Clima, 2014

[77]	Homogenisierung von Zeitreihen der relativen Luftfeuchtigkeit
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[78]	EL CLIMA DEL TéRMINO MUNICIPAL DE ZARAGOZA EN EL CONTEXTO DEL CAMBIO GLOBAL
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[79]	Which homogenisation method is appropriate for daily time series of relative humidity?
	2014

[80]	Évolution de la température en France depuis les années 1950-Constitution d'un nouveau jeu de séries homogénéisées de référence
	La …, 2014

[81]	Homogeneity of monthly air temperature in Portugal with HOMER and MASH
	2013

[82]	HOMER: a homogenization software–methods and applications
	2013

[83]	Creación de una base de datos homogeneizada de temperaturas para los Pirineos (1950-2010)
	Geographicalia?, 2013

[84]	DESPUéS DE COST/ES0601: COMPARACIóN AUTOMáTICA DE MéTODOS DE HOMOGENEIZACIóN DE SERIES
	JA GUIJARRO - fundacion.usal.es, 2013

[85]	Efficiencies of inhomogeneity-detection algorithms: comparison of different detection methods and efficiency measures
	Journal of Climatology, 2013

[86]	Measuring performances of homogenization methods
	QJ Hung Meteorol Serv, 2013

[87]	HOMER: a homogenization software—methods and applications
	Idojaras, Quarterly journal of the Hungarian Meteorological Service?, 2013

[88]	On the multiple breakpoint problem and the number of significant breaks in homogenization of climate records
	Quarterly Journal of the Hungarian Meteorological Service?, 2013

[89]	CLIMATE IMPACTS ON TOURISM IN SPAIN
	P DOMONKOS, X FARRé, JA DURO - fundacion.usal.es, 2013

[90]	Development and testing of homogenisation methods: moving parameter experiments with ACMANT
	Advances in Science and Research, 2013

[91]	Climate change impact on research
	2012

[92]	Benchmarking homogenization algorithms for monthly data
	Climate of the Past?, 2012

[93]	The historical pathway towards more accurate homogenisation
	Advances in Science and Research, 2012

[94]	RECUPERACIóN Y ANáLISIS DE LA SERIE DE TEMPERATURA DIARIA DE BARCELONA, 1780-2011
	MP DURAN, MB VALLVé, EA ANFRONS, RR PI, 2012

[95]	Tendencias recientes e índices de cambio climático de la temperatura y la precipitación en Andorra, Pirineos (1935-2008)
	Pirineos, 2012

[96]	Historiska temperaturer i Stockholm-fler kalla manader ?n f?rv?ntat
	P Fallgren, J Gustavii - gauss.stat.su.se, 2011

[97]	Efficiencies of homogenisation methods: Our present knowledge and its limitation
	Seventh Seminar for Homogenization and Quali., 2011

[98]	ACMANT: Why is it efficient?
	Seventh Seminar for Homogenization and Quali, 2011

[99]	The Analysis of Extreme Synoptic Winds
	Monography. University of Western Ontario, London, Ontario, Canada, 2011

[100]	Benchmarking monthly homogenization algorithms
	2011

[101]	Moritz Buchmann1, 2, Gernot Resch3, Michael Begert4, Stefan Brönnimann2, 5, Barbara Chimani6


[102]	Coauthors, 2013: Benchmarking homogenization algorithms for monthly data

[1]	Evolving drought dynamics in Barcelona: leveraging a Bayesian ensemble algorithm for insightful analysis and a bidirectional long short-term memory network for predictive modeling Stochastic Environmental Research and Risk Assessment, 2025 DOI:10.1007/s00477-024-02900-2

[2]	Long‐term snowfall trends and variability in the Alps International Journal of Climatology, 2024 DOI:10.1002/joc.8597

[3]	Long‐term snowfall trends and variability in the Alps International Journal of Climatology, 2024 DOI:10.1002/joc.8597

[4]	Estimation of Break and Noise Variance and the Maximum Distance of Climate Stations Allowed in Relative Homogenisation of Annual Temperature Anomalies International Journal of Climatology, 2024 DOI:10.1002/joc.8724

[5]	Climatological reference stations: Definitions and requirements International Journal of Climatology, 2024 DOI:10.1002/joc.8406

[6]	Climatological reference stations: Definitions and requirements International Journal of Climatology, 2024 DOI:10.1002/joc.8406

[7]	A statistical method for the attribution of change‐points in segmented Integrated Water Vapor difference time series International Journal of Climatology, 2024 DOI:10.1002/joc.8441

[8]	Overview of mathematical background of homogenization, summary of method MASH and comments on benchmark validation International Journal of Climatology, 2023 DOI:10.1002/joc.8207

[9]	The benefits of homogenising snow depth series – Impacts on decadal trends and extremes for Switzerland The Cryosphere, 2023 DOI:10.5194/tc-17-653-2023

[10]	Updated analysis of surface warming trends in North China based on in-depth homogenized data (1951-2020) Climate Research, 2023 DOI:10.3354/cr01724

[11]	Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods The Cryosphere, 2022 DOI:10.5194/tc-16-2147-2022

[12]	Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods The Cryosphere, 2022 DOI:10.5194/tc-16-2147-2022

[13]	Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods The Cryosphere, 2022 DOI:10.5194/tc-16-2147-2022

[14]	Validation metrics of homogenization techniques on artificially inhomogenized monthly temperature networks in Sweden and Slovenia (1950–2005) Scientific Reports, 2021 DOI:10.1038/s41598-021-97685-7

[15]	Homogenization and trends analysis of the Belgian historical precipitation time series International Journal of Climatology, 2021 DOI:10.1002/joc.7129

[16]	Sensitivity of Change-Point Detection and Trend Estimates to GNSS IWV Time Series Properties Atmosphere, 2021 DOI:10.3390/atmos12091102

[17]	Validation metrics of homogenization techniques on artificially inhomogenized monthly temperature networks in Sweden and Slovenia (1950–2005) Scientific Reports, 2021 DOI:10.1038/s41598-021-97685-7

[18]	Homogenization and trends analysis of the Belgian historical precipitation time series International Journal of Climatology, 2021 DOI:10.1002/joc.7129

[19]	Combination of Using Pairwise Comparisons and Composite Reference Series: A New Approach in the Homogenization of Climatic Time Series with ACMANT Atmosphere, 2021 DOI:10.3390/atmos12091134

[20]	Efficiency of Time Series Homogenization: Method Comparison with 12 Monthly Temperature Test Datasets Journal of Climate, 2021 DOI:10.1175/JCLI-D-20-0611.1

[21]	Sensitivity of Change-Point Detection and Trend Estimates to GNSS IWV Time Series Properties Atmosphere, 2021 DOI:10.3390/atmos12091102

[22]	Combination of Using Pairwise Comparisons and Composite Reference Series: A New Approach in the Homogenization of Climatic Time Series with ACMANT Atmosphere, 2021 DOI:10.3390/atmos12091134

[23]	Removal of bias introduced by considering calendar or rainfall day as 24‐hr period in daily minimum temperature series: Results from ACMANT approach International Journal of Climatology, 2021 DOI:10.1002/joc.6822

[24]	Application of homogenization methods for Ireland's monthly precipitation records: Comparison of break detection results International Journal of Climatology, 2020 DOI:10.1002/joc.6575

[25]	Application of homogenization methods for Ireland's monthly precipitation records: Comparison of break detection results International Journal of Climatology, 2020 DOI:10.1002/joc.6575

[26]	Homogenizing GPS Integrated Water Vapor Time Series: Benchmarking Break Detection Methods on Synthetic Data Sets Earth and Space Science, 2020 DOI:10.1029/2020EA001121

[27]	Development of an Updated Global Land In Situ‐Based Data Set of Temperature and Precipitation Extremes: HadEX3 Journal of Geophysical Research: Atmospheres, 2020 DOI:10.1029/2019JD032263

[28]	Removal of bias introduced by considering calendar or rainfall day as 24‐hr period in daily minimum temperature series: Results from ACMANT approach International Journal of Climatology, 2020 DOI:10.1002/joc.6822

[29]	Homogenizing GPS Integrated Water Vapor Time Series: Benchmarking Break Detection Methods on Synthetic Data Sets Earth and Space Science, 2020 DOI:10.1029/2020EA001121

[30]	Quality control and homogenization of the Belgian historical temperature data International Journal of Climatology, 2019 DOI:10.1002/joc.5792

[31]	Changes in extreme temperature and precipitation indices: Using an innovative daily homogenized database in Israel International Journal of Climatology, 2019 DOI:10.1002/joc.6125

[32]	A new method to study inhomogeneities in climate records: Brownian motion or random deviations? International Journal of Climatology, 2019 DOI:10.1002/joc.6105

[33]	Developing Gridded Climate Data Sets of Precipitation for Greece Based on Homogenized Time Series Climate, 2019 DOI:10.3390/cli7050068

[34]	Homogenization of instrumental time series of air temperature in Central Italy (1930-2015) Climate Research, 2019 DOI:10.3354/cr01552

[35]	Changes in extreme temperature and precipitation indices: Using an innovative daily homogenized database in Israel International Journal of Climatology, 2019 DOI:10.1002/joc.6125

[36]	Developing Gridded Climate Data Sets of Precipitation for Greece Based on Homogenized Time Series Climate, 2019 DOI:10.3390/cli7050068

[37]	A new method to study inhomogeneities in climate records: Brownian motion or random deviations? International Journal of Climatology, 2019 DOI:10.1002/joc.6105

[38]	The joint influence of break and noise variance on the break detection capability in time series homogenization Advances in Statistical Climatology, Meteorology and Oceanography, 2018 DOI:10.5194/ascmo-4-1-2018

[39]	Effects of undetected data quality issues on climatological analyses Climate of the Past, 2018 DOI:10.5194/cp-14-1-2018

[40]	Inter-comparison of methods to homogenize daily relative humidity International Journal of Climatology, 2018 DOI:10.1002/joc.5488

[41]	Impact of missing data on the efficiency of homogenisation: experiments with ACMANTv3 Theoretical and Applied Climatology, 2018 DOI:10.1007/s00704-018-2488-3

[42]	Detecting and adjusting artificial biases of long-term temperature records in Israel International Journal of Climatology, 2018 DOI:10.1002/joc.5500

[43]	Quality control and homogenization of the Belgian historical temperature data International Journal of Climatology, 2018 DOI:10.1002/joc.5792

[44]	Inter‐comparison of methods to homogenize daily relative humidity International Journal of Climatology, 2018 DOI:10.1002/joc.5488

[45]	Detecting and adjusting artificial biases of long‐term temperature records in Israel International Journal of Climatology, 2018 DOI:10.1002/joc.5500

[46]	Homogenization of Ukrainian air temperature data International Journal of Climatology, 2018 DOI:10.1002/joc.5191

[47]	Effects of undetected data quality issues on climatological analyses Climate of the Past, 2018 DOI:10.5194/cp-14-1-2018

[48]	Homogenisation of temperature and precipitation time series with ACMANT3: method description and efficiency tests International Journal of Climatology, 2017 DOI:10.1002/joc.4822

[49]	Homogenization and trend analysis of monthly mean and maximum wind speed time series in Finland, 1959–2015 International Journal of Climatology, 2017 DOI:10.1002/joc.5124

[50]	Temperature and precipitation regional climate series over the central Pyrenees during 1910–2013 International Journal of Climatology, 2017 DOI:10.1002/joc.4823

[51]	Perspectives on Atmospheric Sciences Springer Atmospheric Sciences, 2017 DOI:10.1007/978-3-319-35095-0_83

[52]	Homogenisation of temperature and precipitation time series with ACMANT3: method description and efficiency tests International Journal of Climatology, 2017 DOI:10.1002/joc.4822

[53]	Temperature and precipitation regional climate series over the central Pyrenees during 1910-2013 International Journal of Climatology, 2017 DOI:10.1002/joc.4823

[54]	Perspectives on Atmospheric Sciences Springer Atmospheric Sciences, 2017 DOI:10.1007/978-3-319-35095-0_62

[55]	Homogenization and trend analysis of monthly mean and maximum wind speed time series in Finland, 1959-2015 International Journal of Climatology, 2017 DOI:10.1002/joc.5124

[56]	Variability modes of precipitation along a Central Mediterranean area and their relations with ENSO, NAO, and other climatic patterns Atmospheric Research, 2017 DOI:10.1016/j.atmosres.2017.07.031

[57]	Homogenization of Ukrainian air temperature data International Journal of Climatology, 2017 DOI:10.1002/joc.5191

[58]	Time series homogenisation of large observational datasets: impact of the number of partner series on efficiency Climate Research, 2017 DOI:10.3354/cr01488

[59]	Review and discussion of homogenisation methods for climate data Physics and Chemistry of the Earth, Parts A/B/C, 2016 DOI:10.1016/j.pce.2015.08.007

[60]	Reconstruction and homogenization of the longest instrumental precipitation series in the Iberian Peninsula (Barcelona, 1786-2014) International Journal of Climatology, 2016 DOI:10.1002/joc.4537

[61]	Detection of inhomogeneities in precipitation time series in Portugal using direct sequential simulation Atmospheric Research, 2016 DOI:10.1016/j.atmosres.2015.11.014

[62]	Reconstruction and homogenization of the longest instrumental precipitation series in the Iberian Peninsula (Barcelona, 1786–2014) International Journal of Climatology, 2016 DOI:10.1002/joc.4537

[63]	The Oslo temperature series 1837-2012: homogeneity testing and temperature analysis International Journal of Climatology, 2015 DOI:10.1002/joc.4223

[64]	Homogenization of precipitation time series with ACMANT Theoretical and Applied Climatology, 2015 DOI:10.1007/s00704-014-1298-5

[65]	Comparison of HOMER and ACMANT homogenization methods using a central Pyrenees temperature dataset Advances in Science and Research, 2015 DOI:10.5194/asr-12-111-2015

[66]	Identifying homogenous sub-periods in HadISD Climate of the Past Discussions, 2014 DOI:10.5194/cpd-10-1567-2014

[67]	Pairwise homogeneity assessment of HadISD Climate of the Past, 2014 DOI:10.5194/cp-10-1501-2014

[68]	Investigating uncertainties in global gridded datasets of climate extremes Climate of the Past, 2014 DOI:10.5194/cp-10-2171-2014

[69]	Detection and correction of inhomogeneities in Greek climate temperature series International Journal of Climatology, 2014 DOI:10.1002/joc.3888

[70]	The Ås Temperature Series in Southern Norway–Homogeneity Testing And Climate Analysis Bulletin of Geography. Physical Geography Series, 2014 DOI:10.2478/bgeo-2014-0001

[71]	Pairwise homogeneity assessment of HadISD Climate of the Past, 2014 DOI:10.5194/cp-10-1501-2014

[72]	Investigating uncertainties in global gridded datasets of climate extremes Climate of the Past, 2014 DOI:10.5194/cp-10-2171-2014

[73]	Efficiencies of Inhomogeneity-Detection Algorithms: Comparison of Different Detection Methods and Efficiency Measures Journal of Climatology, 2013 DOI:10.1155/2013/390945

[74]	Development and testing of homogenisation methods: moving parameter experiments with ACMANT Advances in Science and Research, 2013 DOI:10.5194/asr-10-43-2013

[75]	Tendencias recientes e índices de cambio climático de la temperatura y la precipitación en Andorra, Pirineos (1935-2008) Pirineos, 2012 DOI:10.3989/Pirineos.2012.167005

[76]	The historical pathway towards more accurate homogenisation Advances in Science and Research, 2012 DOI:10.5194/asr-8-45-2012

[77]	Benchmarking homogenization algorithms for monthly data Climate of the Past, 2012 DOI:10.5194/cp-8-89-2012

[78]	Benchmarking homogenization algorithms for monthly data Climate of the Past, 2012 DOI:10.5194/cp-8-89-2012

[79]	Benchmarking monthly homogenization algorithms Climate of the Past Discussions, 2011 DOI:10.5194/cpd-7-2655-2011

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