Data Assimilation for the Earth System: NATO Science Series: IV:, cartea 26
Editat de Richard Swinbank, Victor Shutyaev, William Albert Lahozen Limba Engleză Hardback – 31 oct 2003
Data Assimilation for the Earth System is a comprehensive survey of both the theory of data assimilation and its application in a range of earth system sciences. Data assimilation is a key technique in the analysis of remote sensing observations and is thus particularly useful for those analysing the wealth of measurements from recent research satellites.
This book is suitable for postgraduate students and those working on the application of data assimilation in meteorology, oceanography and other earth sciences.
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 953.97 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – 31 oct 2003 | 953.97 lei 6-8 săpt. | |
Hardback (1) | 958.73 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – 31 oct 2003 | 958.73 lei 6-8 săpt. |
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Specificații
ISBN-13: 9781402015922
ISBN-10: 1402015925
Pagini: 392
Ilustrații: XII, 377 p.
Dimensiuni: 155 x 235 x 30 mm
Greutate: 0.83 kg
Ediția:2003
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria NATO Science Series: IV:
Locul publicării:Dordrecht, Netherlands
ISBN-10: 1402015925
Pagini: 392
Ilustrații: XII, 377 p.
Dimensiuni: 155 x 235 x 30 mm
Greutate: 0.83 kg
Ediția:2003
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria NATO Science Series: IV:
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
Data assimilation: aims and basic concepts.- Bayesian estimation. Optimal interpolation. Statistical linear estimation.- Variational assimilation. Adjoint equations.- Control operators and fundamental control functions in data assimilation.- Solvability of variational data assimilation problems and iterative algorithms.- Fundamental control functions and error analysis.- A posteriori validation of assimilation algorithms.- to initialization.- Digital filter initialization.- Treating model errors in 3-D and 4-D data assimilation.- Observing the atmosphere.- Atmospheric modelling.- Operational implementation of variational data assimilation.- Quality control: methodology and applications.- Statistical assimilation of satellite data: method, algorithms, examples.- Theoretical impact assessment of satellite data on weather forecasts.- The correlation features of the inverse problem solution in atmospheric remote sensing.- Assimilation of remote sensing observations in Numerical Weather Prediction.- Research satellites.- The structure and evolution of the atmosphere.- to atmospheric photochemical modelling.- Ozone assimilation.- Multivariate chemical data assimilation.- Uses of ocean data assimilation and ocean state estimation.- Altimeter covariances and errors treatment.- Assimilation of hydrographic data and analysis of model bias.- Land surface processes.- Assimilation of land surface data.- Land data assimilation systems.- Reanalysis.