Forecast Error Correction using Dynamic Data Assimilation
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portes grátis
Forecast Error Correction using Dynamic Data Assimilation
Lakshmivarahan, Sivaramakrishnan; Jabrzemski, Rafal; Lewis, John M.
Springer International Publishing AG
06/2018
270
Mole
Inglês
9783319820101
15 a 20 dias
4394
Descrição não disponível.
Part I Theory.- Introduction.- Dynamics of evolution of first- and second-order forward sensitivity: discrete time and continuous time.- Estimation of control errors using forward sensitivities: FSM with single and multiple observations.- Relation to adjoint sensitivity and impact of observation.- Estimation of model errors using Pontryagin's Maximum Principle- its relation to 4-D VAR and hence FSM.- FSM and predictability - Lyapunov index.- Part II Applications.- Mixed-layer model - the Gulf of Mexico problem.- Lagrangian data assimilation.- Conclusions.- Appendix.- Index.
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Adjoint Method;Adjoint Sensitivity Analysis;Data Assimilation;Dynamic Predictability;FSM;Fitting Data;Forecast Sensitivity Method;Forward Sensitivity;Model Errors;Predictability Limits;quantitative geology
Part I Theory.- Introduction.- Dynamics of evolution of first- and second-order forward sensitivity: discrete time and continuous time.- Estimation of control errors using forward sensitivities: FSM with single and multiple observations.- Relation to adjoint sensitivity and impact of observation.- Estimation of model errors using Pontryagin's Maximum Principle- its relation to 4-D VAR and hence FSM.- FSM and predictability - Lyapunov index.- Part II Applications.- Mixed-layer model - the Gulf of Mexico problem.- Lagrangian data assimilation.- Conclusions.- Appendix.- Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
