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01962nam a22003255i 4500 |
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20210504143926.0 |
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cr nn 008mamaa |
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130522s2013 gw | s |||| 0|eng d |
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|a 9783642350887
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| 024 |
7 |
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|a 10.1007/978-3-642-35088-7
|2 doi
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| 040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 245 |
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|a Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) /
|c edited by Seon Ki Park, Liang Xu.
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| 250 |
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|a 1st ed. 2013.
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| 260 |
# |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2013.
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| 300 |
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|a XIX, 730 p. 269 illus., 170 illus. in color. :
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 505 |
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|a 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. .
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| 650 |
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|a Atmospheric sciences.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a K-theory.
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| 650 |
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4 |
|a Atmospheric Sciences.
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| 650 |
2 |
4 |
|a Artificial Intelligence.
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| 650 |
2 |
4 |
|a K-Theory.
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| 700 |
1 |
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|a Park, Seon Ki.
|e editor.
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| 700 |
1 |
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|a Xu, Liang.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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