Earth System Modeling, Data Assimilation and Predictability: Atmosphere, Oceans, Land and Human Systems - Rilegato

Kalnay, Eugenia; Mote, Safa; Da, Cheng

 
9781107009004: Earth System Modeling, Data Assimilation and Predictability: Atmosphere, Oceans, Land and Human Systems
Rilegato
ISBN 10: 1107009006 ISBN 13: 9781107009004
Casa editrice: Cambridge Univ Pr, 2024

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Cambridge Univ Pr
Data di pubblicazione
2024
Lingua
Inglese
ISBN 10 
1107009006
ISBN 13 
9781107009004
Rilegatura
Copertina rigida
Numero edizione
2
Numero di pagine
398
Contatto del produttore
non disponibile
Persona responsabile
gpsr@libri.de
gpsr@libri.de

Friedensallee 273
Hamburg
22763
Germania

Altre edizioni note dello stesso titolo

9781107401464: Earth System Modeling, Data Assimilation and Predictability: Atmosphere, Oceans, Land and Human Systems

Edizione in evidenza

ISBN 10:  1107401461 ISBN 13:  9781107401464
Casa editrice: Cambridge University Press, 2024
Brossura