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Dynamic Meteorology: Data Assimilation Methods

Posted By: AvaxGenius
Dynamic Meteorology: Data Assimilation Methods

Dynamic Meteorology: Data Assimilation Methods by Lennart Bengtsson, Michael Ghil, Erland Källén
English | PDF | 1981 | 335 Pages | ISBN : 0387906320 | 20.9 MB

One of the main reasons we cannot tell what the weather will be tomorrow is that we do not know accurately enough what the weather is today. Mathematically speaking, numerical weather prediction (NWP) is an initial-value problem for a system of nonlinear partial differential equations in which the necessary initial values are known only incompletely and inaccurately. Data at the initial time of a numerical forecast can be supplemented, however, by observations of the atmos­ phere over a time interval preceding it. New observing systems, in particular polar-orbiting and geostationary satellites, which are providing observations continuously in time, make is absolutely necess­ ary to find new and more satisfactory methods of assimilating meteorological observations - for the dual purpose of defining atmospheric states and of issuing forecasts from the states thus defined. FUndamental progress in this area has been made in recent years and this book attempts to give a review and some suggestions for further improvements in the field of meteorological data assimila­ tion methods. The European Centre for Medium Range Weather Forecasts (ECMWF) every year organises seminars for the benefit of meteorologists and geophysicists of the ECMWF Member states. The 1980 Seminar was devoted to data assimilation methods, and this book contains selected lectures from that seminar. The purpose of the seminar was twofold: it was intended to give a basic introduction to the subject, as well as an overview of the latest developments in the field.

Data Assimilation: Mathematical Concepts and Instructive Examples

Posted By: AvaxGenius
Data Assimilation: Mathematical Concepts and Instructive Examples

Data Assimilation: Mathematical Concepts and Instructive Examples by Rodolfo Guzzi
English | PDF | 2016 | 140 Pages | ISBN : 3319224093 | 1.7 MB

This book endeavours to give a concise contribution to understanding the data assimilation and related methodologies. The mathematical concepts and related algorithms are fully presented, especially for those facing this theme for the first time.

Data Assimilation Fundamentals: A Unified Formulation of the State and Parameter Estimation Problem

Posted By: AvaxGenius
Data Assimilation Fundamentals: A Unified Formulation of the State and Parameter Estimation Problem

Data Assimilation Fundamentals: A Unified Formulation of the State and Parameter Estimation Problem by Geir Evensen
English | PDF,EPUB | 2022 | 251 Pages | ISBN : 3030967085 | 55.7 MB

This textbook's significant contribution is the unified derivation of data-assimilation techniques from a common fundamental and optimal starting point, namely Bayes' theorem. Unique for this book is the "top-down" derivation of the assimilation methods. It starts from Bayes theorem and gradually introduces the assumptions and approximations needed to arrive at today's popular data-assimilation methods.

Data Assimilation: A Mathematical Introduction

Posted By: AvaxGenius
Data Assimilation: A Mathematical Introduction

Data Assimilation: A Mathematical Introduction by Kody Law
English | PDF(Repost),EPUB | 2015 | 256 Pages | ISBN : 331920324X | 10 MB

This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and computational approaches. Specifically the authors develop a unified mathematical framework in which a Bayesian formulation of the problem provides the bedrock for the derivation, development and analysis of algorithms; the many examples used in the text, together with the algorithms which are introduced and discussed, are all illustrated by the MATLAB software detailed in the book and made freely available online.