Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1107009006 ISBN 13: 9781107009004
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
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Añadir al carritohardcover. Condición: Fine.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1107009006 ISBN 13: 9781107009004
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 150,55
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Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1107009006 ISBN 13: 9781107009004
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1107009006 ISBN 13: 9781107009004
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Añadir al carritoCondición: New. 2nd edition NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1107009006 ISBN 13: 9781107009004
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1107009006 ISBN 13: 9781107009004
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data Assimilation methods are now applied to many areas of prediction and forecasting. This second edition introduces readers to applications across Earth systems and coupled Earth-Human Systems. It's indispensable for advanced undergraduate and graduate students, researchers, and practitioners working in weather forecasting and climate prediction.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1107009006 ISBN 13: 9781107009004
Librería: Revaluation Books, Exeter, Reino Unido
EUR 158,16
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Añadir al carritoHardcover. Condición: Brand New. 2nd new edition. 398 pages. 6.69x0.88x9.61 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2024
ISBN 10: 1107009006 ISBN 13: 9781107009004
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 188,52
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Añadir al carritoHardcover. Condición: new. Hardcover. 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 Earthhuman 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. Data Assimilation methods are now applied to many areas of prediction and forecasting. This second edition introduces readers to applications across Earth systems and coupled Earth-Human Systems. It's indispensable for advanced undergraduate and graduate students, researchers, and practitioners working in weather forecasting and climate prediction. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2024
ISBN 10: 1107009006 ISBN 13: 9781107009004
Librería: CitiRetail, Stevenage, Reino Unido
EUR 162,25
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. 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 Earthhuman 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. Data Assimilation methods are now applied to many areas of prediction and forecasting. This second edition introduces readers to applications across Earth systems and coupled Earth-Human Systems. It's indispensable for advanced undergraduate and graduate students, researchers, and practitioners working in weather forecasting and climate prediction. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1107009006 ISBN 13: 9781107009004
Librería: Majestic Books, Hounslow, Reino Unido
EUR 222,13
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1107009006 ISBN 13: 9781107009004
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 223,40
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Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2024
ISBN 10: 1107009006 ISBN 13: 9781107009004
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 219,57
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. 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 Earthhuman 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. Data Assimilation methods are now applied to many areas of prediction and forecasting. This second edition introduces readers to applications across Earth systems and coupled Earth-Human Systems. It's indispensable for advanced undergraduate and graduate students, researchers, and practitioners working in weather forecasting and climate prediction. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1107009006 ISBN 13: 9781107009004
Librería: preigu, Osnabrück, Alemania
EUR 195,55
Cantidad disponible: 5 disponibles
Añadir al carritoBuch. Condición: Neu. Earth System Modeling, Data Assimilation and Predictability | Safa Mote (u. a.) | Buch | Englisch | 2024 | Cambridge University Press | EAN 9781107009004 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.