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Stochastic Analysis And Modeling Of Hydrologic And Climatologic Time Series Ii Analysis Of Causal Connections Between Solar Activity And Climatological Time Series Of Palmers Drough Index Series
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Book Synopsis Stochastic Analysis and Modeling of Hydrologic and Climatologic Time Series II : Analysis of Causal Connections Between Solar Activity and Climatological Time Series of Palmer's Drough Index Series by : G. Padmanabhan
Download or read book Stochastic Analysis and Modeling of Hydrologic and Climatologic Time Series II : Analysis of Causal Connections Between Solar Activity and Climatological Time Series of Palmer's Drough Index Series written by G. Padmanabhan and published by . This book was released on 1980 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Time Series Analysis in Climatology and Related Sciences by : Victor Privalsky
Download or read book Time Series Analysis in Climatology and Related Sciences written by Victor Privalsky and published by Springer Nature. This book was released on 2020-11-22 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives the reader the basic knowledge of the theory of random processes necessary for applying to study climatic time series. It contains many examples in different areas of time series analysis such as autoregressive modelling and spectral analysis, linear extrapolation, simulation, causality, relations between scalar components of multivariate time series, and reconstructions of climate data. As an important feature, the book contains many practical examples and recommendations about how to deal and how not to deal with applied problems of time series analysis in climatology or any other science where the time series are short.
Book Synopsis Hydrologic Time Series Analysis by : Deepesh Machiwal
Download or read book Hydrologic Time Series Analysis written by Deepesh Machiwal and published by Springer Science & Business Media. This book was released on 2012-03-05 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a dearth of relevant books dealing with both theory and application of time series analysis techniques, particularly in the field of water resources engineering. Therefore, many hydrologists and hydrogeologists face difficulties in adopting time series analysis as one of the tools for their research. This book fills this gap by providing a proper blend of theoretical and practical aspects of time sereies analysis. It deals with a comprehensive overview of time series characteristics in hydrology/water resources engineering, various tools and techniques for analyzing time series data, theoretical details of 31 available statistical tests along with detailed procedures for applying them to real-world time series data, theory and methodology of stochastic modelling, and current status of time series analysis in hydrological sciences. In adition, it demonstrates the application of most time series tests through a case study as well as presents a comparative performance evaluation of various time series tests, together with four invited case studies from India and abroad. This book will not only serve as a textbook for the students and teachers in water resources engineering but will also serve as the most comprehensive reference to educate researchers/scientists about the theory and practice of time series analysis in hydrological sciences. This book will be very useful to the students, researchers, teachers and professionals involved in water resources, hydrology, ecology, climate change, earth science, and environmental studies.
Book Synopsis Stochastic Analysis and Modeling of Hydrologic and Climatologic Time Series by : G. Padmanabhan
Download or read book Stochastic Analysis and Modeling of Hydrologic and Climatologic Time Series written by G. Padmanabhan and published by . This book was released on 1993 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Hydrological Drought by : Lena M. Tallaksen
Download or read book Hydrological Drought written by Lena M. Tallaksen and published by Gulf Professional Publishing. This book was released on 2004 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: The majority of the examples are taken from regions where the rivers run most of the year.
Book Synopsis Stochastic Analysis and Modeling of Hydrologic and Climatologic Time Series by : Ji Patmanābhan
Download or read book Stochastic Analysis and Modeling of Hydrologic and Climatologic Time Series written by Ji Patmanābhan and published by . This book was released on 1980 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stochastic and Statistical Methods in Hydrology and Environmental Engineering by : Keith W. Hipel
Download or read book Stochastic and Statistical Methods in Hydrology and Environmental Engineering written by Keith W. Hipel and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: International experts from around the globe present a rich variety of intriguing developments in time series analysis in hydrology and environmental engineering. Climatic change is of great concern to everyone and significant contributions to this challenging research topic are put forward by internationally renowned authors. A range of interesting applications in hydrological forecasting are given for case studies in reservoir operation in North America, Asia and South America. Additionally, progress in entropy research is described and entropy concepts are applied to various water resource systems problems. Neural networks are employed for forecasting runoff and water demand. Moreover, graphical, nonparametric and parametric trend analyses methods are compared and applied to water quality time series. Other topics covered in this landmark volume include spatial analyses, spectral analyses and different methods for stream-flow modelling. Audience The book constitutes an invaluable resource for researchers, teachers, students and practitioners who wish to be at the forefront of time series analysis in the environmental sciences.
Book Synopsis Time Series Modelling of Water Resources and Environmental Systems by : K.W. Hipel
Download or read book Time Series Modelling of Water Resources and Environmental Systems written by K.W. Hipel and published by Elsevier. This book was released on 1994-04-07 with total page 1053 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive presentation of the theory and practice of time series modelling of environmental systems. A variety of time series models are explained and illustrated, including ARMA (autoregressive-moving average), nonstationary, long memory, three families of seasonal, multiple input-single output, intervention and multivariate ARMA models. Other topics in environmetrics covered in this book include time series analysis in decision making, estimating missing observations, simulation, the Hurst phenomenon, forecasting experiments and causality. Professionals working in fields overlapping with environmetrics - such as water resources engineers, environmental scientists, hydrologists, geophysicists, geographers, earth scientists and planners - will find this book a valuable resource. Equally, environmetrics, systems scientists, economists, mechanical engineers, chemical engineers, and management scientists will find the time series methods presented in this book useful.
Book Synopsis Time Series Analysis in Meteorology and Climatology by : Claude Duchon
Download or read book Time Series Analysis in Meteorology and Climatology written by Claude Duchon and published by John Wiley & Sons. This book was released on 2012-02-21 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time Series Analysis in Meteorology and Climatology provides an accessible overview of this notoriously difficult subject. Clearly structured throughout, the authors develop sufficient theoretical foundation to understand the basis for applying various analytical methods to a time series and show clearly how to interpret the results. Taking a unique approach to the subject, the authors use a combination of theory and application to real data sets to enhance student understanding throughout the book. This book is written for those students that have a data set in the form of a time series and are confronted with the problem of how to analyse this data. Each chapter covers the various methods that can be used to carry out this analysis with coverage of the necessary theory and its application. In the theoretical section topics covered include; the mathematical origin of spectrum windows, leakage of variance and understanding spectrum windows. The applications section includes real data sets for students to analyse. Scalar variables are used for ease of understanding for example air temperatures, wind speed and precipitation. Students are encouraged to write their own computer programmes and data sets are provided to enable them to recognize quickly whether their programme is working correctly- one data set is provided with artificial data and the other with real data where the students are required to physically interpret the results of their periodgram analysis. Based on the acclaimed and long standing course at the University of Oklahoma and part of the RMetS Advancing Weather and Climate Science Series, this book is distinct in its approach to the subject matter in that it is written specifically for readers in meteorology and climatology and uses a mix of theory and application to real data sets.
Book Synopsis Applied Modeling of Hydrologic Time Series by : Jose D. Salas
Download or read book Applied Modeling of Hydrologic Time Series written by Jose D. Salas and published by Water Resources Publication. This book was released on 1980 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Analysis of Climate Series by : Helmut Pruscha
Download or read book Statistical Analysis of Climate Series written by Helmut Pruscha and published by Springer Science & Business Media. This book was released on 2012-10-30 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the application of statistical methods to climatological data on temperature and precipitation. It provides specific techniques for treating series of yearly, monthly and daily records. The results’ potential relevance in the climate context is discussed. The methodical tools are taken from time series analysis, from periodogram and wavelet analysis, from correlation and principal component analysis, and from categorical data and event-time analysis. The applied models are - among others - the ARIMA and GARCH model, and inhomogeneous Poisson processes. Further, we deal with a number of special statistical topics, e.g. the problem of trend-, season- and autocorrelation-adjustment, and with simultaneous statistical inference. Programs in R and data sets on climate series, provided at the author’s homepage, enable readers (statisticians, meteorologists, other natural scientists) to perform their own exercises and discover their own applications.
Book Synopsis Statistical Methods in Hydrology and Hydroclimatology by : Rajib Maity
Download or read book Statistical Methods in Hydrology and Hydroclimatology written by Rajib Maity and published by Springer. This book was released on 2018-04-30 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the application of statistical methods in the field of hydrology and hydroclimatology. Among the latest theories being used in these fields, the book introduces the theory of copulas and its applications in this context. The purpose is to develop an understanding and illustrate the usefulness of the statistical techniques with detailed theory and numerous worked out examples. Apart from this, MATLAB-based codes and solutions of some worked out examples are also provided to assist the readers to handle real life data. This book presents a comprehensive knowledge of statistical techniques combining the basics of probability and the current advances in stochastic hydrology. Besides serving as a textbook for graduate courses on stochastic modeling in hydrology and related disciplines, the book offers valuable resources for researchers and professionals involved in the field of hydrology and climatology.
Book Synopsis Time Series Analysis in Water Resources by : Keith W. Hipel
Download or read book Time Series Analysis in Water Resources written by Keith W. Hipel and published by . This book was released on 1985 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Time Series Analysis in Climatology and Related Sciences by : Victor Privalsky
Download or read book Time Series Analysis in Climatology and Related Sciences written by Victor Privalsky and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives the reader the basic knowledge of the theory of random processes necessary for applying to study climatic time series. It contains many examples in different areas of time series analysis such as autoregressive modelling and spectral analysis, linear extrapolation, simulation, causality, relations between scalar components of multivariate time series, and reconstructions of climate data. As an important feature, the book contains many practical examples and recommendations about how to deal and how not to deal with applied problems of time series analysis in climatology or any other science where the time series are short.
Book Synopsis Climate Time Series Analysis by : Manfred Mudelsee
Download or read book Climate Time Series Analysis written by Manfred Mudelsee and published by Springer Science & Business Media. This book was released on 2010-08-26 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. This makes the book self-contained for graduate students and researchers.
Book Synopsis Data Analysis and Time Series Generation in Hydroclimatology by : Simon Michael Papalexiou
Download or read book Data Analysis and Time Series Generation in Hydroclimatology written by Simon Michael Papalexiou and published by . This book was released on 2022-12-20 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzes hydroclimatic data with statisical methods and stochastic modelling using R package Data analysis and time series generation in the field of hydroclimatology is a complex task. The statistical properties of hydroclimatic data differ based on the process, spatial and temporal scale, and season under study. This demands flexible models and statistical tools that facilitate understanding and applications. Time Series Generation and Data Analysis in Hydroclimatology offers ready to use R-code and software to analyze plethora of real-world data in hydroclimatology research. The volume presents advanced and handy tools for performing complex statistical analysis and modeling and serves as a reference point for future hydrology and climate science research. Volume highlights include: Data from hydrology, geoengineering, meteorology, climate science, geophysics, and geodynamics Theory for advanced statistical methods and stochastic modelling in a simple and easy-to-apply manner Models and statistical tools like R software that facilitate understanding and applications of hydroclimatology Case studies to visualize and analyze real world hydroclimatic data Methods with vast applications beyond hydroclimatology that can be expanded to disciplines in engineering, economics, and risk quantification The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.
Book Synopsis Practical Time Series Analysis in Natural Sciences by : Victor Privalsky
Download or read book Practical Time Series Analysis in Natural Sciences written by Victor Privalsky and published by Springer Nature. This book was released on 2023-03-09 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an easy-to-use tool for time series analysis and allows the user to concentrate upon studying time series properties rather than upon how to calculate the necessary estimates. The two attached programs provide, in one run of the program, a time and frequency domain description of scalar or multivariate time series approximated with a sequence of autoregressive models of increasing orders. The optimal orders are chosen by five order selection criteria. The results for scalar time series include time domain stochastic difference equations, spectral density estimates, predictability properties, and a forecast of scalar time series based upon the Kolmogorov-Wiener theory. For the bivariate and trivariate time series, the results contain a time domain description with multivariate stochastic difference equations, statistical predictability criterion, and information for calculating feedback and Granger causality properties in the bivariate case. The frequency domain information includes spectral densities, ordinary, multiple, and partial coherence functions, ordinary and multiple coherent spectra, gain, phase, and time lag factors. The programs seem to be unique and using them does not require professional knowledge of theory of random processes. The book contains many examples including three from engineering.
