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Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)
This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence metho...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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| Edición: | 1st ed. 2013. |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- A Review on the Theory and Methodologies of Estimation for Dynamical Systems
- Nudging Methods: A Critical Overview
- Markov Chain Monte Carlo Methods: Theory and Applications
- Information Content in Data Assimilation
- A Question of Adequacy of Observations in Variational Data Assimilation
- Quantifying Observation Impact for a Limited Area Atmospheric Forecast Model
- Skewness of the Prior through Position Errors and Its Impact on Data Assimilation
- Background Error Correlation Modeling with Diffusion Operator
- The Adjoint Sensitivity Guidance to Diagnosis and Tuning of Error Covariance Parameters
- Treating Nonlinearities in Data-Space Variational Assimilation
- Linearized Physics for Data Assimilation at ECMWF
- Recent Applications in Representer-Based Variational Data Assimilation. .