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£142.76
Springer Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications Vol. II
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Description
Key Features
Covers multiple data assimilation methodologies including variational, Kalman filter, ensemble, and Monte Carlo techniques applicable to atmospheric and oceanic research.
Addresses observation targeting and sensitivity analysis alongside core data assimilation methods for comprehensive environmental modelling.
Integrates artificial intelligence methods into traditional data assimilation frameworks for enhanced predictive capabilities.
Suitable for graduate students and professional researchers requiring a rigorous reference on parameter estimation and hydrologic applications.
Spans meteorology, oceanography, and hydrology disciplines with both theoretical grounding and practical application examples.
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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