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Giering Users Manual Version 1.15 Taf Version 1.9.70 Online

May 01, 2016  AbstractAttributing observed variability of the Atlantic meridional overturning circulation (AMOC) to past changes in surface forcing is challenging but essential for detecting any influence of anthropogenic forcing and reducing uncertainty in future climate predictions. Here, quantitative estimates of separate contributions from wind and buoyancy forcing to AMOC variations at 25°N are obtained. Epson perfection v600 photo user manual.

Giering Users Manual Version 1.15 Taf Version 1.9.70 Download

1. Clark, P., Pisias, N., Stocker, T., Weaver, A.: The role of the thermohaline circulation in abrubt climate change. Nature 415 (2002) 863–869Google Scholar
2. Wunsch, C.: What is the thermohaline circulation? Science 298 (2002) 1179–1180Google Scholar
3. Farrell, B., Moore, A.: An adjoint method for obtaining the most rapidly growing perturbation to oceanic flows. J. Phys. Oceanogr. 22 (1992) 338–349Google Scholar
4. Farrell, B., Ioannou, P.: Perturbation growth and structure in uncertain flows. Part I. J. Atmos. Sci. 59 (2002) 2629–26462.0.CO%3B2'>CrossRefMathSciNetGoogle Scholar
5. Tziperman, E., Ioannou, P.: Transient growth and optimal excitation of thermohaline variability. J. Phys. Oceanogr. 32 (2002) 3427–34352.0.CO%3B2'>CrossRefGoogle Scholar
6. Stommel, H.: Thermohaline convection with two stable regimes of flow. Tellus 13 (1961) 224–230Google Scholar
7. Tziperman, E.: Inherently unstable climate behaviour due to weak thermohaline ocean circulation. Nature 386 (1997) 592–595Google Scholar
8. Griewank, A.: Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation. SIAM, Philadelphia (2000)zbMATHGoogle Scholar
9. Giering, R., Kaminski, T.: Recipes for adjoint code construction. ACM Transactions on Mathematical Software 24 (1998) 437–474zbMATHCrossRefGoogle Scholar
10. Giering, R.: Transformation of algorithms in Fortran (TAF). User manual version 1.3. Technical report, FastOpt (2001) http://www.fastopt.de/taf.
11. Marotzke, J., Giering, R., Zhang, K., Stammer, D., Hill, C., Lee, T.: Construction of the adjoint MIT ocean general circulation model and application to Atlantic heat transport variability. J. Geophys. Res. 104, C12 (1999) 29,529–29,547CrossRefGoogle Scholar
12. Stammer, D., Wunsch, C., Giering, R., Eckert, C., Heimbach, P., Marotzke, J., Adcroft, A., Hill, C., Marshall, J.: The global ocean circulation and transports during 1992–1997, estimated from ocean observations and a general circulation model. J. Geophys. Res. 107(C9) (2002) 3118–3144CrossRefGoogle Scholar
13. Stammer, D., Wunsch, C., Giering, R., Eckert, C., Heimbach, P., Marotzke, J., Adcroft, A., Hill, C., Marshall, J.: Volume, heat and freshwater transports of the global ocean circulation 1993–2000, estimated from a general circulation model constrained by WOCE data. J. Geophys. Res. (2002) in press.Google Scholar
14. Heimbach, P., Hill, C., Giering, R.: Automatic generation of e.cient adjoint code for a parallel Navier-Stokes solver. In Dongarra, J.J., Sloot, P.M.A., Tan, C.J.K., eds.: Computational Science-ICCS 2002. Volume 2331 of Lecture Notes in Computer Science. Springer-Verlag, Berlin (Germany) (2002) 1019–1028Google Scholar
15. Heimbach, P., Hill, C., Giering, R.: An efficient exact adjoint of the parallel MIT general circulation model, generated via automatic differentiation. Future Generation Computer Systems (FGCS) (2002) submitted.Google Scholar
16. Naumann, U.: On optimal Jacobian accumulation for single expression use programs. Preprint ANL-MCS/P944-0402, Argonne National Laboratory (2002)Google Scholar
17. Naumann, U.: Automatic generation of optimal gradient code for scalar assignments. Preprint ANL-MCS/P1020-0103, Argonne National Laboratory (2003)Google Scholar
18. Rivin, I., Tziperman, E.: Linear versus self-sustained interdecadal thermohaline variability in a coupled box model. J. Phys. Oceanogr. 27 (1997) 1216–12322.0.CO%3B2'>CrossRefGoogle Scholar
19. Lehoucq, R.B., Sorensen, D.C., Yang, C.: ARPACK users’ guide: Solution of large-scale eigenvalue problems with implicitly restarted Arnoldi methods. SIAM, Philadelphia (1998)Google Scholar
20. Restrepo, J., Leaf, G., Griewank, A.: Circumvening storage limitations in variational data assimilation studies. SIAM J. Sci. Comput. 19 (1998) 1586–1605zbMATHCrossRefMathSciNetGoogle Scholar
21. Hovland, P., Naumann, U., Norris, B.: An XML-based platform for semantic transformation of numerical programs. In: M. Hamza, ed., Software Engineering and Applications, Proceedings of the Sixth IASTED International Conference, ACTA Press (2002) 530–538Google Scholar
22. Griewank, A., Reese, S.: On the calculation of Jacobian matrices by the Markovitz rule. In: [27]. (1991) 126–135Google Scholar
23. Hascoët, L., Naumann, U., Pascual, V.: TBR analysis in reverse-mode automatic differentiation. Elsevier Science (2002) under review.Google Scholar
24. Aho, A., Sethi, R., Ullman, J.: Compilers. Principles, Techniques, and Tools. Addison-Wesley, Reading, MA (1986)Google Scholar
25. Naumann, U.: Optimal accumulation of Jacobian matrices by elimination methods on the dual computational graph. Preprint ANL-MCS/P943-0402, Argonne National Laboratory (2002) To appear in Math. Prog.Google Scholar
26. Naumann, U.: Statement-level optimality of tangent-linear and adjoint models. Preprint ANL-MCS/P1021-0103, Argonne National Laboratory (2002)Google Scholar
27. Corliss, G., Griewank, A., eds.: Automatic Differentiation: Theory, Implementation, and Application. Proceedings Series, Philadelphia, SIAM (1991)Google Scholar