An algorithm for daily temperature comparison: Co.Temp - comparing series of temperature
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S. Fratianni | D. Guenzi | F. Acquaotta | D. Garzena | A. Baronetti | F. Acquaotta | S. Fratianni | D. Garzena | A. Baronetti | D. Guenzi
[1] Peter Domonkos,et al. Benchmarking homogenization algorithms for monthly data , 2012 .
[2] S. Planton,et al. Improving sea level simulation in Mediterranean regional climate models , 2018, Climate Dynamics.
[3] J. Smol,et al. Accelerated melting of Himalayan snow and ice triggers pronounced changes in a valley peatland from northern India , 2006 .
[4] F. Acquaotta,et al. Influence of instrumentation on long temperature time series , 2019, Climatic Change.
[5] G. Grabherr,et al. Signals of range expansions and contractions of vascular plants in the high Alps: observations (1994–2004) at the GLORIA * master site Schrankogel, Tyrol, Austria , 2007 .
[6] P. Sen. Estimates of the Regression Coefficient Based on Kendall's Tau , 1968 .
[7] R. Forthofer,et al. Rank Correlation Methods , 1981 .
[8] A. Toreti,et al. Seasonal temperatures over Italy and their relationship with low-frequency atmospheric circulation patterns , 2010 .
[9] Claude N. Williams,et al. A framework for benchmarking of homogenisation algorithm performance on the global scale , 2014 .
[10] K. G. Hubbard,et al. Reexamination of instrument change effects in the U.S. Historical Climatology Network , 2006 .
[11] M. Kendall,et al. Rank Correlation Methods , 1949 .
[12] H. B. Mann. Nonparametric Tests Against Trend , 1945 .
[13] Philippe Ciais,et al. Declining global warming effects on the phenology of spring leaf unfolding , 2015, Nature.
[14] Sheng Yue,et al. The influence of autocorrelation on the ability to detect trend in hydrological series , 2002 .
[15] Diego Guenzi,et al. CoRain: A free and open source software for rain series comparison , 2017, Earth Science Informatics.
[16] Lucie A. Vincent,et al. Preserving Continuity of Long-Term Daily Maximum and Minimum Temperature Observations with Automation of Reference Climate Stations using Overlapping Data and Meteorological Conditions , 2016 .
[17] R. Trigo,et al. Extreme wildfire events are linked to global-change-type droughts in the northern Mediterranean , 2018 .
[18] F. Acquaotta,et al. Analysis of the long‐time climate data series for Turin and assessment of the city's urban heat island , 2018, Weather.
[19] Simona Fratianni,et al. Assessment of parallel precipitation measurements networks in Piedmont, Italy , 2016 .
[20] Diego Guenzi,et al. CondMerg: an open source implementation in R language of conditional merging for weather radars and rain gauges observations , 2017, Earth Science Informatics.
[21] Stewart J. Cohen,et al. Climate Change 2014: Impacts,Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change , 2014 .
[22] S. Seneviratne,et al. Influence of Amazonian deforestation on the future evolution of regional surface fluxes, circulation, surface temperature and precipitation , 2015, Climate Dynamics.
[23] Henri Caussinus,et al. SPLIDHOM: A Method for Homogenization of Daily Temperature Observations , 2011 .
[24] Xiaolan L. Wang,et al. Uncertainty in homogenized daily temperatures and derived indices of extremes illustrated using parallel observations in Canada , 2018 .
[25] Olivier Mestre,et al. An automatized homogenization procedure via pairwise comparisons with application to Argentinean temperature series , 2014 .
[26] Peter Domonkos,et al. Benchmarking homogenization algorithms for monthly data , 2012 .