Argonne National Laboratory

Applying Automatic Differentiation to the Community Land Model

TitleApplying Automatic Differentiation to the Community Land Model
Publication TypeConference Paper
Year of Publication2012
AuthorsMametjanov, A, Norris, B, Zeng, X, Drewniak, BA, Utke, J, Anitescu, M, Hovland, PD
Conference Name6th International Conference on Automatic Differentiation (AD2012)
Date Published07/2012
Conference LocationFort Collins, CO
Other NumbersANL/MCS-P1993-0112

Earth system models rely on past observations and knowledge to simulate future climate states. Because of the inherent complexity, a substantial uncertainty exists in model-based predictions. Evaluation and improvement of model codes are one of the priorities of climate science research. Automatic differentiation enables analysis of sensitivities of predicted outcomes to input parameters by calculating derivatives of modeled functions. The resulting sensitivity knowledge can lead to improved parameter calibration. We present our experiences in applying OpenAD to the Fortran based crop model code in the Community Land Model (CLM). We identify several issues that need to be addressed in future developments of tangent linear and adjoint versions of the CLM.