Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
A limited memory algorithm for bound constrained optimization
SIAM Journal on Scientific Computing
Predicting air quality: Improvements through advanced methods to integrate models and measurements
Journal of Computational Physics
Discontinuous Galerkin unsteady discrete adjoint method for real-time efficient tsunami simulations
Journal of Computational Physics
Hi-index | 0.01 |
The task of providing aa optimal analysis of the state of the atmosphere requires the development of novel computational tools that facilitate an efficient integeration of observational data into models. In this paper we discuss some of the computational tools developed for the assimilation of chemical data imo atmospheric models. We perform a theoretical analysis of discrete and cominuous adjoints for stiff differential equation solvers. Software tools particularly tailored for direct and adjoint sensitivity analysis of chemical systems are presented. The adjoint of the state-of-the-art model STEM-III is discussed, together with ozone assimilation results for a realistic test problem.