Download or read book A Method for Filtering Meteorological Data written by Rosemary M. Dyer and published by . This book was released on 1970 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: A mathematical filter for eliminating persistence in meteorological data is proposed and discussed. Relationships between statistical parameters of the filtered and the original data are derived, examples of the effect of the filter on the power spectrum of various types of input data are also given. (Author).

Download or read book A Method for Filtering Meteorological Data written by Rosemary M. Dyer and published by . This book was released on 1970 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A mathematical filter for eliminating persistence in meteorological data is proposed and discussed. Relationships between statistical parameters of the filtered and the original data are derived, examples of the effect of the filter on the power spectrum of various types of input data are also given. (Author)

Download or read book Numerical Filtering Techniques for the Time Series Analysis of Oceanographic and Meteorological Data written by Riccardo Pesaresi and published by . This book was released on 1971 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: The basic concepts of the numerical filtering technique, using symmetrical filters is introduced. Two computer programs are described: one, given certain input informations, plots the impulse, step and frequency response and specifies the weights of one of eight different filter types selected by the user; the other calculates the minimum number of weights necessary to achieve a certain frequency response of the Linnette type filter. (Author).

Download or read book Data Assimilation for Atmospheric Oceanic and Hydrologic Applications Vol II written by Seon Ki Park and published by Springer Science & Business Media. This book was released on 2013-05-22 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.

Download or read book Meteorological monitoring guidance for regulatory modeling applications written by and published by DIANE Publishing. This book was released on 2000 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Very Simple Application of Kalman Filtering to Meteorological Data Assimilation written by Norman A. Phillips and published by . This book was released on 1982 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt: The technique of Kalman filtering described by Ghil et. al. (1981) is applied to a 2-point model. This note is intended to make this technique more familiar at NMC and to point out its advantages and dangers. Two methods of allowing for ignorance of true dynamical factors are illustrated.

Download or read book Operational Processing of CHAMP Data written by M. E. Gorbunov and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Nonlinear Data Assimilation written by Peter Jan Van Leeuwen and published by Springer. This book was released on 2015-07-22 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains two review articles on nonlinear data assimilation that deal with closely related topics but were written and can be read independently. Both contributions focus on so-called particle filters. The first contribution by Jan van Leeuwen focuses on the potential of proposal densities. It discusses the issues with present-day particle filters and explorers new ideas for proposal densities to solve them, converging to particle filters that work well in systems of any dimension, closing the contribution with a high-dimensional example. The second contribution by Cheng and Reich discusses a unified framework for ensemble-transform particle filters. This allows one to bridge successful ensemble Kalman filters with fully nonlinear particle filters, and allows a proper introduction of localization in particle filters, which has been lacking up to now.

Download or read book Data Assimilation for Atmospheric Oceanic and Hydrologic Applications Vol III written by Seon Ki Park and published by Springer. This book was released on 2016-12-26 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.

Download or read book Data Assimilation for Atmospheric Oceanic and Hydrologic Applications Vol IV written by Seon Ki Park and published by Springer Nature. This book was released on 2021-11-09 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including adaptive observations, sensitivity analysis, parameter estimation and AI applications. The book is useful to individual researchers as well as graduate students for a reference in the field of data assimilation.

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.

Download or read book Data Assimilation written by William Lahoz and published by Springer Science & Business Media. This book was released on 2010-07-23 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data assimilation methods were largely developed for operational weather forecasting, but in recent years have been applied to an increasing range of earth science disciplines. This book will set out the theoretical basis of data assimilation with contributions by top international experts in the field. Various aspects of data assimilation are discussed including: theory; observations; models; numerical weather prediction; evaluation of observations and models; assessment of future satellite missions; application to components of the Earth System. References are made to recent developments in data assimilation theory (e.g. Ensemble Kalman filter), and to novel applications of the data assimilation method (e.g. ionosphere, Mars data assimilation).

Download or read book The Effects of Clutter Rejection Filtering on Estimating Weather Spectrum Parameters written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-07-16 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: The effects of clutter-rejection filtering on estimating the weather parameters from pulse Doppler radar measurement data are investigated. The pulse pair method of estimating the spectrum mean and spectrum width of the weather is emphasized. The loss of sensitivity, a measure of the signal power lost due to filtering, is also considered. A flexible software tool developed to investigate these effects is described. It allows for simulated weather radar data, in which the user specifies an underlying truncated Gaussian spectrum, as well as for externally generated data which may be real or simulated. The filter may be implemented in either the time or the frequency domain. The software tool is validated by comparing unfiltered spectrum mean and width estimates to their true values, and by reproducing previously published results. The effects on the weather parameter estimates using simulated weather-only data are evaluated for five filters: an ideal filter, two infinite impulse response filters, and two finite impulse response filters. Results considering external data, consisting of weather and clutter data, are evaluated on a range cell by range cell basis. Finally, it is shown theoretically and by computer simulation that a linear phase response is not required for a clutter rejection filter preceeding pulse-pair parameter estimation. Davis, W. T. Unspecified Center...

Download or read book Data Assimilation written by Geir Evensen and published by Springer Science & Business Media. This book was released on 2006-12-22 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews popular data-assimilation methods, such as weak and strong constraint variational methods, ensemble filters and smoothers. The author shows how different methods can be derived from a common theoretical basis, as well as how they differ or are related to each other, and which properties characterize them, using several examples. Readers will appreciate the included introductory material and detailed derivations in the text, and a supplemental web site.

Download or read book Data Assimilation for the Earth System written by Richard Swinbank and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data assimilation is the combination of information from observations and models of a particular physical system in order to get the best possible estimate of the state of that system. The technique has wide applications across a range of earth sciences, a major application being the production of operational weather forecasts. Others include oceanography, atmospheric chemistry, climate studies, and hydrology. Data Assimilation for the Earth System is a comprehensive survey of both the theory of data assimilation and its application in a range of earth system sciences. Data assimilation is a key technique in the analysis of remote sensing observations and is thus particularly useful for those analysing the wealth of measurements from recent research satellites. This book is suitable for postgraduate students and those working on the application of data assimilation in meteorology, oceanography and other earth sciences.

Download or read book Space Weather written by Jean Lilensten and published by Springer Science & Business Media. This book was released on 2007-05-16 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows the state-of-the-art in Europe on a very new discipline, Space Weather. This discipline lies at the edge between science and industry. This book reflects such a position with theoretic papers and applicative papers as well. Each chapter starts with a short introduction, which shows the coherence of a given domain. Then, four to five contributions written by the best specialists in Europe give detailed hints of a hot topic in space weather.

Download or read book Kalman Filtering Method and Its Application to Air Pollution Episode Forecasting Kalmanifilters are a Class of Linear Minimum error variance Sequential State Estimation Algorithms written by and published by . This book was released on 1979 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The Kalman filtering method is applied to multi-station air pollution modeling in order to obtain a useful real-time predictor of concentration levels, especially during episode situations. Special attention has been paid to avoiding certain high dimensionality problems of the Kalman filter while still retaining some of the deterministic physical information of the transport and diffusion phenomena. Moreover, a method is proposed to forecast future state values using only a probabilistic knowledge of future state-transition matrices, which is the most common situation in air pollution real-time forecasting with probabilistic meteorological input. Specifically, the method is applied to SO2 and meteorological data (Summer 1975) supplied by the RAMS network (Regional Air Pollution Study) installed in the St. Louis Missouri area. The results of the proposed methodology are compared with those supplied by single-station predictors.