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£135.68
Springer Data Assimilation for Atmospheric, Oceanic and Hydrologic Vol II
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Description
Key Features
Covers recent progress in data assimilation for meteorology, oceanography, and hydrology including land surface applications.
Explores diverse methodologies such as variational, Kalman filter, ensemble, Monte Carlo, and artificial intelligence methods.
Includes essential topics like targeting observation, sensitivity analysis, and parameter estimation for a complete technical overview.
Provides both theoretical and applicative aspects to support both academic study and practical research implementation.
Serves as a dedicated reference for graduate students and individual researchers working in earth science and machine learning.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 3642350879
- Domain
- Amazon UK
- Release Date
- 03 June 2013
- Listed Since
- 18 October 2012
Barcode
No barcode data available
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