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New PDF release: Data Assimilation: Making Sense of Observations

By William Lahoz, Boris Khattatov, Richard Menard

ISBN-10: 3540747028

ISBN-13: 9783540747024

Data assimilation tools have been principally constructed for operational climate forecasting, yet lately were utilized to an expanding variety of earth technology disciplines. This publication will set out the theoretical foundation of knowledge assimilation with contributions by way of best foreign specialists within the box. numerous features of knowledge assimilation are mentioned together with: idea; observations; versions; numerical climate prediction; review of observations and versions; evaluation of destiny satellite tv for pc missions; program to parts of the Earth approach. References are made to contemporary advancements in info assimilation thought (e.g. Ensemble Kalman filter), and to novel purposes of the information assimilation strategy (e.g. ionosphere, Mars facts assimilation).

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A reduced-order approach to four-dimensional variational data assimilatio using proper orthogonal decomposition. Int. J. Numeric. Meth. Fluids, 53, 1571–1583. , A. da Silva, J. Guo, M. Sienkiewicz and D. Lamich, 1998. Assessing the effects of data selection with the DAO physical-space statistical analysis system. Mon. , 126, 2913–2926. , 1997. Dual formulation of four-dimensional variational assimilation. Q. J. R. Meteorol. , 123, 2449–2461. -N. Thépaut and A. Hollingsworth, 1994. A strategy for operational implementation of 4D-Var, using an incremental approach.

Mon. , 126, 1719–1724. , J. M. Navon and Z. Luo, 2007. A reduced-order approach to four-dimensional variational data assimilatio using proper orthogonal decomposition. Int. J. Numeric. Meth. Fluids, 53, 1571–1583. , A. da Silva, J. Guo, M. Sienkiewicz and D. Lamich, 1998. Assessing the effects of data selection with the DAO physical-space statistical analysis system. Mon. , 126, 2913–2926. , 1997. Dual formulation of four-dimensional variational assimilation. Q. J. R. Meteorol. , 123, 2449–2461.

18, 106–132. Griewank, A. F. Corliss, 1991. Automatic Differentiation of Algorithms, SIAM, PA. , 1997. Data Assimilation for Numerical Weather Prediction Using Control Theory, The University of Reading, Department of Mathematics, PhD Thesis. asp#1997. K. K. Nichols, 1996. Accounting for model error in data assimilation using adjoint methods. , C. Bischof, G. Corliss and A. ), SIAM, PA, pp 195–204. K. K. Nichols, 2000. Adjoint techniques in data assimilation for estimating model error. J. Flow, Turbulence Combustion, 65, 469–488.

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Data Assimilation: Making Sense of Observations by William Lahoz, Boris Khattatov, Richard Menard


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