Data Assimilation

Data Assimilation PDF

Author: William Lahoz

Publisher: Springer Science & Business Media

Published: 2010-07-23

Total Pages: 710

ISBN-13: 3540747036

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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).

Assimilation of Remote Sensing Data into Earth System Models

Assimilation of Remote Sensing Data into Earth System Models PDF

Author: Jean-Christophe Calvet

Publisher: MDPI

Published: 2019-11-20

Total Pages: 236

ISBN-13: 3039216406

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In the Earth sciences, a transition is currently occurring in multiple fields towards an integrated Earth system approach, with applications including numerical weather prediction, hydrological forecasting, climate impact studies, ocean dynamics estimation and monitoring, and carbon cycle monitoring. These approaches rely on coupled modeling techniques using Earth system models that account for an increased level of complexity of the processes and interactions between atmosphere, ocean, sea ice, and terrestrial surfaces. A crucial component of Earth system approaches is the development of coupled data assimilation of satellite observations to ensure consistent initialization at the interface between the different subsystems. Going towards strongly coupled data assimilation involving all Earth system components is a subject of active research. A lot of progress is being made in the ocean–atmosphere domain, but also over land. As atmospheric models now tend to address subkilometric scales, assimilating high spatial resolution satellite data in the land surface models used in atmospheric models is critical. This evolution is also challenging for hydrological modeling. This book gathers papers reporting research on various aspects of coupled data assimilation in Earth system models. It includes contributions presenting recent progress in ocean–atmosphere, land–atmosphere, and soil–vegetation data assimilation.

Data Assimilation

Data Assimilation PDF

Author: Pierre P. Brasseur

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 303

ISBN-13: 3642789390

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Data assimilation is considered a key component of numerical ocean model development and new data acquisition strategies. The basic concept of data assimilation is to combine real observations via estimation theory with dynamic models. Related methodologies exist in meteorology, geophysics and engineering. Of growing importance in physical oceanography, data assimilation can also be exploited in biological and chemical oceanography. Such techniques are now recognized as essential to understand the role of the ocean in a global change perspective. The book focuses on data processing algorithms for assimilation, current methods for the assimilation of biogeochemical data, strategy of model development, and the design of observational data for assimilation.

Sub-seasonal to Seasonal Prediction

Sub-seasonal to Seasonal Prediction PDF

Author: Andrew Robertson

Publisher: Elsevier

Published: 2018-10-19

Total Pages: 585

ISBN-13: 012811715X

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The Gap Between Weather and Climate Forecasting: Sub-seasonal to Seasonal Prediction is an ideal reference for researchers and practitioners across the range of disciplines involved in the science, modeling, forecasting and application of this new frontier in sub-seasonal to seasonal (S2S) prediction. It provides an accessible, yet rigorous, introduction to the scientific principles and sources of predictability through the unique challenges of numerical simulation and forecasting with state-of-science modeling codes and supercomputers. Additional coverage includes the prospects for developing applications to trigger early action decisions to lessen weather catastrophes, minimize costly damage, and optimize operator decisions. The book consists of a set of contributed chapters solicited from experts and leaders in the fields of S2S predictability science, numerical modeling, operational forecasting, and developing application sectors. The introduction and conclusion, written by the co-editors, provides historical perspective, unique synthesis and prospects, and emerging opportunities in this exciting, complex and interdisciplinary field. Contains contributed chapters from leaders and experts in sub-seasonal to seasonal science, forecasting and applications Provides a one-stop shop for graduate students, academic and applied researchers, and practitioners in an emerging and interdisciplinary field Offers a synthesis of the state of S2S science through the use of concrete examples, enabling potential users of S2S forecasts to quickly grasp the potential for application in their own decision-making Includes a broad set of topics, illustrated with graphic examples, that highlight interdisciplinary linkages

Data Assimilation for the Earth System

Data Assimilation for the Earth System PDF

Author: Richard Swinbank

Publisher: Springer Science & Business Media

Published: 2003-10-31

Total Pages: 394

ISBN-13: 9781402015939

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Proceedings of the NATO Advanced Study Institute, Acquafredda, Maratea, Italy from 19 May to 1 June 2002

Ocean Forecasting

Ocean Forecasting PDF

Author: Nadia Pinardi

Publisher: Springer Science & Business Media

Published: 2002-03-12

Total Pages: 502

ISBN-13: 9783540679646

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The book gives a first consistent overview of methods and applications of ocean forecasting around the world. This sector of marine science and technology is developing rapidly due to the increasing need for reliable, multidisciplinary information about the marine system, allowing the sustainable usage of coastal resources and the mitigation of global change effects. Several chapters are devoted to the conceptual and theoretical bases of ocean forecasting, ranging from the design of observational and modelling systems, data assimilation techniques and numerical ecosystem modelling. The book also includes examples of modelling/forecasting systems currently in use or being set-up in the ocean for different space and time scales. The book is useful for advanced graduate students as well as scientists in related disciplines, as it enables them to understand the present level of knowledge and performance of existing forecasting systems.

Oceanobs'19: An Ocean of Opportunity. Volume II

Oceanobs'19: An Ocean of Opportunity. Volume II PDF

Author: Tong Lee

Publisher: Frontiers Media SA

Published: 2020-12-31

Total Pages: 629

ISBN-13: 2889631192

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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.