Publications on Automatic Differentiation of Atmospheric GCMs

Simon Blessing, Thomas Kaminski, Frank Lunkeit, Ion Matei, Ralf Giering, Armin Köhl, Marko Scholze, Klaus Fraedrich, and Detlef Stammer. Testing variational estimation of process parameters and initial conditions of an Earth System Model. accepted for publication in TellusA, 2014. [ .pdf ]

Simon Blessing, Richard Greatbatch, Klaus Fraedrich, and Frank Lunkeit. Interpreting the atmospheric circulation trend during the last half of the 20th century: Application of an adjoint model. J. Climate., 21(18):4629-4646, September 2008. [ .pdf ]

Simon Blessing. Adjoint Modelling for Assimilation and Diagnosis on Climate Timescales. PhD thesis, University of Hamburg, Germany, April 2008. [ http | .pdf ]

Dacian N. Daescu. On the sensitivity equations of four-dimensional variational (4D-Var) data assimilation. MONTHLY WEATHER REVIEW, 136(8):3050-3065, AUG 2008. [ DOI | http ]

N. Sugiura, T. Awaji, S. Masuda, T. Mochizuki, T. Toyoda, T. Miyama, H. Igarashi, and Y. Ishikawa. Development of a four-dimensional variational coupled data assimilation system for enhanced analysis and prediction of seasonal to interannual climate variations. J. Geophys. Res., 113, 2008. [ DOI | http ]

T. Kaminski, S. Blessing, R. Giering, M. Scholze, and M. Voßbeck. Testing the use of adjoints for estimation of GCM parameters on climate time-scales. Meteorol. Z., 16(6):643-652, 2007.

D.N. Daescu and I.M. Navon. Efficiency of a pod-based reduced second-order adjoint model in 4d-var data assimilation. Int. J. Numer. Methods Fluids, 53(6):985-1004, 2007. [ .pdf ]

FH Ruggiero, J Michalakes, T Nehrkorn, GD Modica, and XL Zou. Development and tests of a new distributed-memory MM5 adjoint. Journal Of Atmospheric And Oceanic Technology, 23(3):424-436, MAR 2006. [ http ]

U. Achatz and G. Schmitz. Shear and static instability of inertia-gravity wave packets: Short-term modal and nonmodal growth. J. Atmos. Sci., 63:397-413, 2006.

X. Huang, Q. Xiao, W. Huang, D. Barker, J. G. Michalakes, J. Bray, Z. Ma, Y. Guo, H. Lin, and Y. Kuo. Preliminary results of WRF 4D-Var. In Proceedings of 7th annual WRF Users' Workshop, Boulder, California, USA, 2006. National Center for Atmospheric Research. [ .pdf ]

Y. Xiao, M. Xue, W. Martin, and J. Gao. Development of Adjoint for a Complex Atmospheric Model, the ARPS, using TAF. In H. Martin Bücker, George F. Corliss, Paul Hovland, Uwe Naumann, and Boyana Norris, editors, Automatic Differentiation: Applications, Theory, and Implementations, volume 50 of Lecture Notes in Computational Science and Engineering, pages 263-272. Springer, New York, NY, 2005. [ .pdf ]

Describes generation of tangent-linear and adjoint models of the Fortran-90 regional weather forecast model ARPS.

U. Achatz. On the role of optimal perturbations in the instability of monochromatic gravity waves. Physics Of Fluids, 17(9), 2005. [ DOI | http ]

R. Giering, T. Kaminski, R. Todling, R. Errico, R. Gelaro, and N. Winslow. Generating tangent linear and adjoint versions of NASA/GMAO's Fortran-90 global weather forecast model. In H. M. Bücker, G. Corliss, P. Hovland, U. Naumann, and B. Norris, editors, Automatic Differentiation: Applications, Theory, and Implementations, volume 50 of Lecture Notes in Computational Science and Engineering, pages 275-284. Springer, New York, NY, 2005. [ DOI | .pdf ]

Describes generation of the tangent linear and adjoint versions of a state-of-the-art Fortran-90 weather forecast model.

M. Zupanski, D. Zupanski, T. Vukicevic, K. Eis, and T.I.V. Haar. CIRA/CSU Four-Dimensional Variational Data Assimilation System. Monthly Weather Review, 133(4):829-843, 2005. [ http ]

Q. Xiao, Z. Ma, W. Huang, X. Huang, D. Barker, Y. Kuo, and J. G. Michalakes. Development of the WRF Tangent Linear and Adjoint Models:. Nonlinear and Linear Evolution of Initial Perturbations and. Adjoint Sensitivity Analysis at high-southern latitudes. In Proceedings of 6th WRF / 15th MM5 Users' Workshop, Boulder, California, USA, 2005. National Center for Atmospheric Research. [ .pdf ]

S. Akella and I.M. Navon. A comparative study of the performance of high resolution advection schemes in the context of data assimilation. Int. J. Numer. Meth. Fluids, 51(7):719-748, 2005. [ http | .pdf ]

S. Blessing, K. Fraedrich, and F. Lunkeit. Climate diagnostics by adjoint modelling: A feasibility study. In H. Fischer, T. Kumke, G. Lohmann, G. Flöser, H. Miller, H. von Storch, and J. F. W. Negendank, editors, The KIHZ project: Towards a synthesis of Holocene Proxy Data and Climate Models, pages 383-396, Heidelberg, 2004. Springer. [ .pdf ]

D.N. Daescu and I.M. Navon. Adaptive observations in the context of 4d-var data assimilation. Meteorology And Atmospheric Physics, 85(4):205-226, 2004. [ .pdf ]

Shu-Chih Yang, M. Corazza, and E. Kalnay. Errors of the day, bred vectors and singular vectors: implications for ensemble forecasting and data assimilation. In 20th Conference on Weather Analysis and Forecasting/16th Conference on Numerical Weather Prediction Symposium on Forecasting the Weather and Climate of the Atmosphere and Ocean. American Meteorological Society, 2004. [ http ]

N. Grieger, G. Schmitz, and U. Achatz. The dependence of the nonmigrating diurnal tide in the mesosphere and lower thermosphere on stationary planetary waves. Journal of Atmospheric and Solar-Terrestrial Physics, 66:733-754, 2004. [ http ]

Tangent linear and adjoint of a GCM have been generated by TAMC.

Y.Q. Zhu, R. Todling, J. Guo, S.E. Cohn, I.M. Navon, and Y. Yang. The geos-3 retrospective data assimilation system: The 6-hour lag case. Mon. Wea. Rev., 131(9):2129-2150, 2003. [ http | .ps ]

Part of the model's adjoint was hand written and part by TAMC

R. Giering, T. Kaminski, R. Todling, and S.-J. Lin. Generating the tangent linear and adjoint models of the DAO finite volume GCM's dynamical core by means of TAF. Geophysical Research Abstracts, 5:11680, 2003. [ .pdf ]

R. Todling, R. Giering, T. Kaminski, Y. Zhu, and J Guo. Retrospective data assimilation for GEOS-4. Geophysical Research Abstracts, 5:11354, 2003. [ .pdf ]

A. Benedetti, G.L. Stephens, and T. Vukicevic. Variational assimilation of radar reflectivities in a cirrus model. i: Model description and adjoint sensitivity studies. Q. J. R. Meteorol. Soc., 129(587):277-300, 2003. [ http ]

F.-X. LeDimet, I.M. Navon, and D.N. Daescu. Second order information in data assimilation. Mon. Wea. Rev., 130(3):629-648, 2002. [ .pdf ]

T. Nehrkorn, G. D. Modica, M. Cemiglia, F. H. Ruggiero, J. G. Michalakes, and X. Zou. 4DVAR Development Using an Automatic Code Generator: Application to MM5v3. In Proceedings of Twelfth PSU/NCAR Mesoscale Model Users' Workshop, Boulder, California, USA, 2002. National Center for Atmospheric Research. [ .html | .pdf ]

F. H. Ruggiero, G. D. Modica, T. Nehrkorn, M. Cemiglia, J. G. Michalakes, and X. Zou. MM5-Based 4DVAR: Current Status and Future Plans. In Proceedings of Twelfth PSU/NCAR Mesoscale Model Users' Workshop, Boulder, California, USA, 2002. National Center for Atmospheric Research. [ .html | .pdf ]

M. Zupanski, D. Zupanski, D.F. Parrish, E. Rogers, and G. Dimego. Four-dimensional variational data assimilation for the blizzard of 2000. Mon. Wea. Rev., 130(8):1967-1988, 2002. [ http ]

D. Zupanski, M. Zupanski, E. Rogers, D.F. Parrish, and G.J. Dimego. Fine-Resolution 4DVAR Data Assimilation For The Great Plains Tornado Outbreak Of 3 May 1999. Weather Forecast., 17(3):506-525, 2002. [ http ]

M. Grecu and E.N. Anagnostou. Use of passive microwave observations in a radar rainfall- profiling algorithm. J. Appl. Meteorol., 41(7):702-715, 2002. [ http ]

T. Nehrkorn, G. D. Modica, M. Cemiglia, F. H. Ruggiero, J. G. Michalakes, and X. Zou. MM5 adjoint development using TAMC: Experiences with an automatic code generator. In Proceedings of 14th Conference on Numerical Weather Prediction, pages 481-484. American Meteorological Society, 2001. [ http | http ]

F. H. Ruggiero, G. D. Modica, T. Nehrkorn, M. Cemiglia, J. G. Michalakes, and X. Zou. A MM5-Based Four-Dimensional Variational Analysis System Developed for Distributed Memory Multiprocessor Computers. In Proceedings of 14th Conference on Numerical Weather Prediction. American Meteorological Society, 2001. [ http | http ]

Y. Tang and W.W. Hsieh. Coupling neural networks to incomplete dynamical systems via variational data assimilation. Mon. Wea. Rev., 129:818-834, 2001. [ http | .pdf ]

T. Vukicevic, M. Steyskal, and M. Hecht. Properties of advection algorithms in the context of variational data assimilation. Mon. Wea. Rev., 129(5):1221-1231, 2001. [ http ]

S. Blessing. Development and applications of an adjoint GCM. Master's thesis, University of Hamburg, Germany, 2000. [ .pdf ]

D. J. Lea, M. R. Allen, and T. W. N. Haine. Sensitivity analysis of the climate of a chaotic system. Tellus, 52A:523-532, 2000. [ .html | .ps ]

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