Difference between revisions of "Reading List"

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(References on adjoint methods and automatic differentiation)
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Giering, R. and T. Kaminski, 1998: Recipes for adjoint code construction. ACM Transactions on Mathematical Software, 24,  
 
Giering, R. and T. Kaminski, 1998: Recipes for adjoint code construction. ACM Transactions on Mathematical Software, 24,  
[http://www.FastOpt.com/papers/racc.pdf | 437-474 pdf].
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[http://www.FastOpt.com/papers/racc.pdf 437-474 pdf].
  
 
Griewank, A. and A. Walther, 2008: Evaluating Derivatives. Principles and Techniques of Algorithmic Differentiation (2nd ed.). SIAM Frontiers in Applied Mathematics, Vol. 19, Philadelphia, 2008.
 
Griewank, A. and A. Walther, 2008: Evaluating Derivatives. Principles and Techniques of Algorithmic Differentiation (2nd ed.). SIAM Frontiers in Applied Mathematics, Vol. 19, Philadelphia, 2008.
  
Heimbach, P. and V. Bugnion, 2009: Greenland ice sheet volume sensitivity to basal, surface, and initial conditions, derived from an adjoint model. Annals of Glaciology, 50(52), [http://www.igsoc.org/annals/V50/52/t52A039.pdf | 67-80 pdf].
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Heimbach, P. and V. Bugnion, 2009: Greenland ice sheet volume sensitivity to basal, surface, and initial conditions, derived from an adjoint model. Annals of Glaciology, 50(52), [http://www.igsoc.org/annals/V50/52/t52A039.pdf 67-80 pdf].
  
 
MacAyeal, D.R., 1993: A tutorial on the use of control methods in ice-sheet modeling, J. Glaciol. 39(131), pp. 91-98.
 
MacAyeal, D.R., 1993: A tutorial on the use of control methods in ice-sheet modeling, J. Glaciol. 39(131), pp. 91-98.
  
MacAyeal, D.R. and V. Barcilon, 1998: Finding Connections Between Data and Theory: Applications in Geophysical Sciences. University of Chicago, Chicago, IL pdf
+
MacAyeal, D.R. and V. Barcilon, 1998: Finding Connections Between Data and Theory: Applications in Geophysical Sciences. University of Chicago, Chicago, IL  
 +
[http://geosci.uchicago.edu/people/InverseBook.pdf pdf]
  
 
Wunsch, C., 2006: Discrete Inverse and State Estimation Problems: With Geophysical Fluid Applications. Cambridge University Press.
 
Wunsch, C., 2006: Discrete Inverse and State Estimation Problems: With Geophysical Fluid Applications. Cambridge University Press.

Revision as of 16:00, 14 August 2009

Core papers

Huybrechts P, T Payne, and the EISMINT Intercomparison Group (1996) The EISMINT benchmarks for testing ice-sheet models. Annals of Glaciology, 23 1-14 [1]

Pattyn, F (2003) A new three-dimensional higher-order thermomechanical ice sheet model: Basic sensitivity, ice stream development, and ice flow across subglacial lakes. J. Geophys. Res., 108, B8, 2382, doi:10.1029/2002JB002329.

Payne AJ, and DJ Baldwin (2000) Analysis of ice-flow instabilities identified in the EISMINT intercomparison exercise. Ann. Glaciol., 30, 204-210 doi:10.3189/172756400781820534

Payne AJ, P Huybrechts, A Abe-Ouchi, R Calov, JL Fastook, R Greve, SJ Marshall, et al. (2000) Results from the EISMINT model intercomparison: the effects of thermomechanical coupling. Journal of Glaciology, 46(153), 227-238[2]

Rutt IC, M Hagdorn, NRJ Hulton, and AJ Payne (2009) The Glimmer community ice sheet model. Journal of Geophysical Research, 114, F02004. doi:10.1029/2008JF001015. pdf

Pattyn. A new three-dimensional higher-order thermomechanical ice sheet model: Basic sensitivity, ice stream …. J. Geophys. Res (2003) pdf

Background reading

Ferziger JH and M Perić (2002) Computational Methods for Fluid Dynamics, 3rd Ed. Berlin: Springer [3]

Hindmarsh RCA, and K Hutter (1988) Numerical fixed domain mapping solution of free-surface flows coupled with an evolving interior field. International Journal for Numerical and Analytical Methods in Geomechanics, 12(4), 437-459, doi:10.1002/nag.1610120407.

Oliveira S and DE Stewart (2006) Writing Scientific Software: A Guide to Good Style, Cambridge: Cambridge University Press [4]

Metcalf M, Reid J and Cohen M (2004) fortran 95/2003 explained, Oxford: Oxford University Press [5]

References on adjoint methods and automatic differentiation

Giering, R. and T. Kaminski, 1998: Recipes for adjoint code construction. ACM Transactions on Mathematical Software, 24, 437-474 pdf.

Griewank, A. and A. Walther, 2008: Evaluating Derivatives. Principles and Techniques of Algorithmic Differentiation (2nd ed.). SIAM Frontiers in Applied Mathematics, Vol. 19, Philadelphia, 2008.

Heimbach, P. and V. Bugnion, 2009: Greenland ice sheet volume sensitivity to basal, surface, and initial conditions, derived from an adjoint model. Annals of Glaciology, 50(52), 67-80 pdf.

MacAyeal, D.R., 1993: A tutorial on the use of control methods in ice-sheet modeling, J. Glaciol. 39(131), pp. 91-98.

MacAyeal, D.R. and V. Barcilon, 1998: Finding Connections Between Data and Theory: Applications in Geophysical Sciences. University of Chicago, Chicago, IL pdf

Wunsch, C., 2006: Discrete Inverse and State Estimation Problems: With Geophysical Fluid Applications. Cambridge University Press.