Journal ArticleDOI
Detection and correction of artificial shifts in climate series
Henri Caussinus,Olivier Mestre +1 more
TLDR
An example concerning temperature series from France confirms that a systematic comparison of the series together is valuable and allows us to correct the data even when no reliable series can be taken as a reference.Abstract:
Summary. Many long instrumental climate records are available and might provide useful information in climate research.These series are usually affected by artificial shifts, due to changes in the conditions of measurement and various kinds of spurious data. A comparison with surrounding weather-stations by means of a suitable two-factor model allows us to check the reliability of the series. An adapted penalized log-likelihood procedure is used to detect an unknown number of breaks and outliers. An example concerning temperature series from France confirms that a systematic comparison of the series together is valuable and allows us to correct the data even when no reliable series can be taken as a reference.read more
Citations
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Journal ArticleDOI
A description of the global land-surface precipitation data products of the Global Precipitation Climatology Centre with sample applications including centennial (trend) analysis from 1901–present
Andreas Becker,Peter Finger,Anja Meyer-Christoffer,B. Rudolf,Kirstin Schamm,Udo Schneider,Markus Ziese +6 more
TL;DR: In this article, the authors provide a reference publication for the four globally gridded monthly precipitation products of the Global Precipitation Climatology Centre (GPCC), covering a 111-yr analysis period from 1901-present.
Journal ArticleDOI
A Review and Comparison of Changepoint Detection Techniques for Climate Data
TL;DR: It is shown that the common trend TPR and Sawa’s Bayes criteria procedures seem optimal for most climate time series, whereas the SNH procedure and its nonparametric variant are probably best for mostClimate time series.
Journal ArticleDOI
A 50-year high-resolution atmospheric reanalysis over France with the Safran system
Jean-Philippe Vidal,Eric Martin,Laurent Franchistéguy,Martine Baillon,Jean-Michel Soubeyroux +4 more
TL;DR: In this paper, an 8 km-resolution atmospheric reanalysis over France performed with the Safran-gauge-based analysis system for the period 1958-2008 is presented.
Journal ArticleDOI
Accounting for Autocorrelation in Detecting Mean Shifts in Climate Data Series Using the Penalized Maximal t or F Test
TL;DR: An empirical approach to account for lag-1 autocorrelation in detecting mean shifts in time series of white or red (first-order autoregressive) Gaussian noise using the penalized maximal t test or the Penalized maximal F test is embedded in a stepwise testing algorithm.
Journal ArticleDOI
Explaining Extreme Events of 2012 from a Climate Perspective
Thomas C. Peterson,Lisa V. Alexander,Myles R. Allen,Juan A. Añel,Juan A. Añel,David Barriopedro,Mitchell T. Black,Trevor Carey-Smith,R. Castillo,Julien Cattiaux,Xiaolong Chen,Xiaomin Chen,Matthieu Chevallier,Nikos Christidis,Andrew Ciavarella,H. de Vries,S. M. Dean,K. Deans,Noah S. Diffenbaugh,Francisco J. Doblas-Reyes,Markus G. Donat,Buwen Dong,Gary Eilerts,Chris Funk,Gideon Galu,Ricardo García-Herrera,A. Germe,S. Gill,Luis Gimeno,Virginie Guemas,Stephanie C. Herring,Andrew Hoell,Martin P. Hoerling,Chris Huntingford,Greg Husak,Yukiko Imada,M. Ishii,David J. Karoly,Masahide Kimoto,Andrew D. King,Thomas R. Knutson,Sophie C. Lewis,Renping Lin,Bradfield Lyon,Neil Massey,E. Mazza,Joel Michaelsen,J. Mollard,Masato Mori,Philip W. Mote,Raquel Nieto,Friederike E. L. Otto,Joseph Park,Sarah E. Perkins,Suzanne M. Rosier,J. Rowland,David E. Rupp,D. Salas y Melia,Martin Scherer,Hideo Shiogama,Shraddhanand Shukla,F.F. Song,Sarah Sparrow,P.A. Scott,Rowan Sutton,William Sweet,Simon F. B. Tett,Ricardo M. Trigo,G. J. van Oldenborgh,R. M. van Westrhenen,J. P. Verdin,Masahiro Watanabe,Andrew T. Wittenberg,T. Woollings,Pascal Yiou,F.R. Zeng,C. Zervas,Rong Zhang,Tianjun Zhou +78 more
TL;DR: In this paper, 19 analyses by 18 different research groups, often using quite different methodologies, of 12 extreme events that occurred in 2012 are presented, and the differences also provide insights into the structural uncertainty of event attribution, the uncertainty that arises directly from the differences in analysis methodology.
References
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Journal ArticleDOI
Estimating the Dimension of a Model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Estimating the dimension of a model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Proceedings Article
Information Theory and an Extention of the Maximum Likelihood Principle
TL;DR: The classical maximum likelihood principle can be considered to be a method of asymptotic realization of an optimum estimate with respect to a very general information theoretic criterion to provide answers to many practical problems of statistical model fitting.
Book ChapterDOI
Information Theory and an Extension of the Maximum Likelihood Principle
TL;DR: In this paper, it is shown that the classical maximum likelihood principle can be considered to be a method of asymptotic realization of an optimum estimate with respect to a very general information theoretic criterion.
Journal ArticleDOI
A homogeneity test applied to precipitation data
TL;DR: In this paper, a simple homogeneity test was applied to a precipitation data set from southwestern Sweden and the significant breaks varied from 5 to 25 per cent for this data set and probably reflect a serious source of uncertainty in studies of climate trends and climatic change all over the world.
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