Earth system modeling, data assimilation and predictability: atmosphere, oceans, land and human systems

By:

Kalnay, Eugenia

Contributor(s):

Publication details: Cambridge: Cambridge University Press, 2024.Edition: 2nd edDescription: xxxii, 340p.: col. ill., maps; pbk. 25 cmISBN:

9781107401464

Subject(s):

DDC classification:

551.634 KAL

Summary: Since the publication of the first edition of this highly regarded textbook, the value of data assimilation has become widely recognized across the Earth sciences and beyond. Data assimilation methods are now being applied to many areas of prediction and forecasting, including extreme weather events, wildfires, infectious disease epidemics, and economic modeling. This second edition provides a broad introduction to applications across the Earth systems and coupled Earth–human systems, with an expanded range of topics covering the latest developments of variational, ensemble, and hybrid data assimilation methods. New toy models and intermediate-complexity atmospheric general circulation models provide hands-on engagement with key concepts in numerical weather prediction, data assimilation, and predictability. The inclusion of computational projects, exercises, lecture notes, teaching slides, and sample exams makes this textbook an indispensable and practical resource for advanced undergraduate and graduate students, researchers, and practitioners who work in weather forecasting and climate prediction. Unifies the inherently connected subjects of Earth System modelling, data assimilation, and predictability in a unique way Includes sections on the intermediate global primitive equations model SPEEDY as an introduction to the dynamical core and physical parameterizations of a full spectral Earth System Model Discusses the development of coupled Earth–Human System modelling and how to use data assimilation to estimate parameters, constrain uncertainties, and improve predictions with these models Provides a suite of supplementary online resources to help facilitate teaching and learning The author team is led by world-leading authority on atmospheric data assimilation, Eugenia Kalnay https://www.cambridge.org/tf/universitypress/subjects/earth-and-environmental-science/atmospheric-science-and-meteorology/earth-system-modeling-data-assimilation-and-predictability-atmosphere-oceans-land-and-human-systems-2nd-edition

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Books	IIT Gandhinagar	General	551.634 KAL (Browse shelf(Opens below))	1	Available	036041

Includes Bibliography and Index

Since the publication of the first edition of this highly regarded textbook, the value of data assimilation has become widely recognized across the Earth sciences and beyond. Data assimilation methods are now being applied to many areas of prediction and forecasting, including extreme weather events, wildfires, infectious disease epidemics, and economic modeling. This second edition provides a broad introduction to applications across the Earth systems and coupled Earth–human systems, with an expanded range of topics covering the latest developments of variational, ensemble, and hybrid data assimilation methods. New toy models and intermediate-complexity atmospheric general circulation models provide hands-on engagement with key concepts in numerical weather prediction, data assimilation, and predictability. The inclusion of computational projects, exercises, lecture notes, teaching slides, and sample exams makes this textbook an indispensable and practical resource for advanced undergraduate and graduate students, researchers, and practitioners who work in weather forecasting and climate prediction.

Unifies the inherently connected subjects of Earth System modelling, data assimilation, and predictability in a unique way
Includes sections on the intermediate global primitive equations model SPEEDY as an introduction to the dynamical core and physical parameterizations of a full spectral Earth System Model
Discusses the development of coupled Earth–Human System modelling and how to use data assimilation to estimate parameters, constrain uncertainties, and improve predictions with these models
Provides a suite of supplementary online resources to help facilitate teaching and learning
The author team is led by world-leading authority on atmospheric data assimilation, Eugenia Kalnay

https://www.cambridge.org/tf/universitypress/subjects/earth-and-environmental-science/atmospheric-science-and-meteorology/earth-system-modeling-data-assimilation-and-predictability-atmosphere-oceans-land-and-human-systems-2nd-edition

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