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Author : Roger Daley
Release : 1992
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Atmospheric Data Analysis by : Roger Daley
Download or read book Atmospheric Data Analysis written by Roger Daley. This book was released on 1992. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Roger Daley
Release : 1993-11-26
Genre : Science
Kind : eBook
Book Rating : 252/5 ( reviews)
Book Synopsis Atmospheric Data Analysis by : Roger Daley
Download or read book Atmospheric Data Analysis written by Roger Daley. This book was released on 1993-11-26. Available in PDF, EPUB and Kindle. Book excerpt: Intended to fill a void in the atmospheric science literature, this self-contained text outlines the physical and mathematical basis of all aspects of atmospheric analysis as well as topics important in several other fields outside of it, including atmospheric dynamics and statistics.
Author : Daniel S. Wilks
Release : 2011-05-20
Genre : Mathematics
Kind : eBook
Book Rating : 223/5 ( reviews)
Book Synopsis Statistical Methods in the Atmospheric Sciences by : Daniel S. Wilks
Download or read book Statistical Methods in the Atmospheric Sciences written by Daniel S. Wilks. This book was released on 2011-05-20. Available in PDF, EPUB and Kindle. Book excerpt: This revised and expanded text explains the latest statistical methods that are being used to describe, analyze, test, and forecast atmospheric data. It features numerous worked examples, illustrations, equations, and exercises with separate solutions. The book will help advanced students and professionals understand and communicate what their data sets have to say, and make sense of the scientific literature in meteorology, climatology, and related disciplines.
Author : Leslie R. Lait
Release : 1997
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Atmospheric Data Analysis by : Leslie R. Lait
Download or read book Atmospheric Data Analysis written by Leslie R. Lait. This book was released on 1997. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Abdelwaheb Hannachi
Release : 2021-05-06
Genre : Science
Kind : eBook
Book Rating : 732/5 ( reviews)
Book Synopsis Patterns Identification and Data Mining in Weather and Climate by : Abdelwaheb Hannachi
Download or read book Patterns Identification and Data Mining in Weather and Climate written by Abdelwaheb Hannachi. This book was released on 2021-05-06. Available in PDF, EPUB and Kindle. Book excerpt: Advances in computer power and observing systems has led to the generation and accumulation of large scale weather & climate data begging for exploration and analysis. Pattern Identification and Data Mining in Weather and Climate presents, from different perspectives, most available, novel and conventional, approaches used to analyze multivariate time series in climate science to identify patterns of variability, teleconnections, and reduce dimensionality. The book discusses different methods to identify patterns of spatiotemporal fields. The book also presents machine learning with a particular focus on the main methods used in climate science. Applications to atmospheric and oceanographic data are also presented and discussed in most chapters. To help guide students and beginners in the field of weather & climate data analysis, basic Matlab skeleton codes are given is some chapters, complemented with a list of software links toward the end of the text. A number of technical appendices are also provided, making the text particularly suitable for didactic purposes. The topic of EOFs and associated pattern identification in space-time data sets has gone through an extraordinary fast development, both in terms of new insights and the breadth of applications. We welcome this text by Abdel Hannachi who not only has a deep insight in the field but has himself made several contributions to new developments in the last 15 years. - Huug van den Dool, Climate Prediction Center, NCEP, College Park, MD, U.S.A. Now that weather and climate science is producing ever larger and richer data sets, the topic of pattern extraction and interpretation has become an essential part. This book provides an up to date overview of the latest techniques and developments in this area. - Maarten Ambaum, Department of Meteorology, University of Reading, U.K. This nicely and expertly written book covers a lot of ground, ranging from classical linear pattern identification techniques to more modern machine learning, illustrated with examples from weather & climate science. It will be very valuable both as a tutorial for graduate and postgraduate students and as a reference text for researchers and practitioners in the field. - Frank Kwasniok, College of Engineering, University of Exeter, U.K.
