Along with the harmonic and statistical analysis of the spectral estimation procedure, the purely computational aspects of the chosen numerical scheme are also important. There were two principal ways to develop a computational ...
Author: Ilya Polyak
Publisher: Oxford University Press
Scientific descriptions of the climate have traditionally been based on the study of average meteorological values taken from different positions around the world. In recent years however it has become apparent that these averages should be considered with other statistics that ultimately characterize spatial and temporal variability. This book is designed to meet that need. It is based on a course in computational statistics taught by the author that arose from a variety of projects on the design and development of software for the study of climate change, using statistics and methods of random functions.
The computation of isentropic trajectories using a “discrete model” formulation. Mon. Wea. Rev., 107: 566I74. Petterssen, S. 1956. ... Computational Statistics in Climatology, Oxford University Press, Oxford, 358 pp. Potter, K.W. 1981.
Author: Roger G. Barry
Synoptic and Dynamic Climatology provides the first comprehensive account of the dynamical behaviour and mechanisms of the global climate system and its components, together with a modern survey of synoptic-scale weather systems in the tropics and extratropics, and of the methods and applications of synoptic climate classification. It is unrivalled in the scope and detail of its contents. The work is thoroughly up to date, with extensive bibliographies by chapter. It is illustrated with nearly 300 figures and plates. *Part 1 provides an introduction to the global climate system and the space-time scales of weather and climate processes, followed by a chapter on climate data and their analysis *Part 2 describes and explains the characteristics of the general circulation of the global atmosphere and includes the nature and causes of global teleconnection patterns *Part 3 discusses synoptic weather systems in the extratropics and tropics and satellite-based climatologies of synoptic features. It also describes the applications of synoptic climatology and summarises current climatic research and its directions.
Computational Statistics in Climatology. Oxford University Press, 1996. 358pp.  R.W. Pratt.The interpretation of spacetime spectral quantities.J. Atmos. Sci., 32:1283–1300, 1976.  R.W. Preisendorfer and T.P.Barnett.
Author: Hans von Storch
Publisher: Cambridge University Press
Climatology is, to a large degree, the study of the statistics of our climate. The powerful tools of mathematical statistics therefore find wide application in climatological research. The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialised techniques used specifically by climatologists are all contained within this one source. There are a wealth of real-world examples drawn from the climate literature to demonstrate the need, power and pitfalls of statistical analysis in climate research. Suitable for graduate courses on statistics for climatic, atmospheric and oceanic science, this book will also be valuable as a reference source for researchers in climatology, meteorology, atmospheric science, and oceanography.
Journal of Climate, 23(10): 2739–2758. Kodra, E., Chatterjee, S., and Ganguly, A.R. 2011b. Challenges and opportunities toward improved data-guided handling of global climate model ensembles for regional climate change assessments.
Author: Ting Yu
Publisher: CRC Press
Category: Business & Economics
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development present
Confidence regions for excursion sets in asymptotically gaussian random fields, with an application to climate. ... Journal of Computational and Graphical Statistics, 0(ja):0–0, 0. ... Statistical analysis in climatology.
Author: Alan E. Gelfand
Publisher: CRC Press
This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.
The Annals of Statistics 26(1): 48–83 Bühlmann P (2002) Bootstraps for time series. Statistical Science 17(1): 52–72 Bühlmann P, Künsch HR (1999) Block length selection in the bootstrap for time series. Computational Statistics and ...
Author: Manfred Mudelsee
Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. “....comprehensive mathematical and statistical summary of time-series analysis techniques geared towards climate applications...accessible to readers with knowledge of college-level calculus and statistics.” (Computers and Geosciences) “A key part of the book that separates it from other time series works is the explicit discussion of time uncertainty...a very useful text for those wishing to understand how to analyse climate time series.” (Journal of Time Series Analysis) “...outstanding. One of the best books on advanced practical time series analysis I have seen.” (David J. Hand, Past-President Royal Statistical Society)
Panofsky , H. , and Brier , G. W. ( 1958 ) , Some Applications of Statistics to Meteorology , University Park , PA : Pennsylvania State University . Polyak , I. ( 1996 ) , Computational Statistics in Climatology , New York : Oxford ...
Author: American Meteorological SocietyPublish On: 1999
Listing of statistical books directly emphasizing atmospheric science applications . 1953 : Brooks , C. E. P. , and N. Carruthers ... 1996 : Polyak , I. , Computational Statistics in Climatology . Oxford University Press , 358 pp .
Part I: Proceedings in Computational Statistics H. Caussinus, P. Ettinger, R. Tomassone ... Bracknell, G.B. Summary Various methods of estimating missing values in highly correlated climatological data are examined.
Author: H. Caussinus
Publisher: Springer Science & Business Media
Pour Ie cinquieme congres de la serie, COMPSTAT 82 reunit environ 500 participants d'origines scientifiques et geographiques tres variees, prouvant a l'evidence l'interet persis tant de la communaute scientifique pour tous les problemes de calculs statistiques. Le Comite de Programme charge de l'organisation scientifique du Congres etait com pose de: o S. Apelt (Republique democratique d'Allemagne) - A. Bj6rck (Suede) - H. Caussinus (France), President - Y. Escoufier (France) - A. de Falguerolles (France), Secretaire - J.W. Frane (U.S.A.) - J. Gordesch (Republique Federale d'Allemagne) - Th. Havranek (Tchechoslovaquie) - N. Lauro (Italie) - C. Millier (France) - R.J. Mokken (pays-Bas)- R. Tomassone (France) - D. Wishart (Royaume Uni) Ce Comite a decide d'augmenter Ie nombre des conferenciers invites, cherchant de la sorte une representation des diverses ecoles ainsi que l'introduction de nouveaux themes. La tache la plus difficile a ensuite ete de selectionner une soixantaine de contributions parmi 250 soumissions. La encore Ie Comite de Programme s'est efforce de favoriser des voies qui semblaient les plus nouvelles et a essaye de maintenir une bonne repartition scientifique et geographique. Cependant, comme dans les precedents congres COMPSTAT, il a donne la preference aux propositions clairement marquees simultanement du double aspect Statistique et Calcul. Dans bien des cas, ces deux aspects sont tres lies rendant en particulier difficile et peu pertinente toute classification fine des contributions.
Climate Dyn., 29: 423-440. Gruen, B. and Leisch, F. (2007). Fitting finite mixtures of generalized linear regressions in R. Computational Statistics & Data Analysis, 51(11): 5247-5252. IMD (2008). Tracks of cyclones and depressions ...
Author: U.C. Mohanty
Publisher: Springer Science & Business Media
This book deals with recent advances in our understanding and prediction of tropical cyclogenesis, intensification and movement as well as landfall processes like heavy rainfall, gale wind and storm surge based on the latest observational and numerical weather prediction (NWP) modeling platforms. It also includes tropical cyclone (TC) management issues like early warning systems, recent high impact TC events, disaster preparedness, assessment of risk and vulnerability including construction, archiving and retrieval of the best tracking and historical data sets, policy decision etc., in view of recent findings on climate change aspects and their impact on TC activity. The chapters are authored by leading experts, both from research and operational environments. This book is relevant to cyclone forecasters and researchers, managers, policy makers, graduate and undergraduate students. It intends to stimulate thinking and hence further research in the field of TCs and climate change, especially over the Indian Ocean region and provides high-quality reference materials for all the users mentioned above for the management of TCs over this region.