Abstract | ||
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In this paper we present the construction of a standardized adjoint of the global GEOS-Chem model. Adjoint models are powerful tools for estimating the sensitivity of (a function of) the model output with respect to a large number of inputs. The construction of adjoint models is a difficult, labor intensive, and error prone task. The adjoint of gas phase chemistry is generated using the Kinetic PreProcessor (KPP) and parsers to automatically interface KPP with GEOS-Chem are constructed. The adjoints of other individual science processes are generated manually and using automatic differentiation tools, and are validated extensively against finite-differences. The standardized adjoint framework discussed here will allow the world-wide community of GEOS-Chem users to perform sensitivity analyses and 4-D variational data assimilation for initial tracer concentrations, boundary conditions, and emission sources. |
Year | Venue | Keywords |
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2009 | SpringSim | interface kpp,standardized adjoint,geos-chem user,4-d variational data assimilation,sensitivity analysis,standardized adjoint framework,model output,standard adjoint geos-chem model,global geos-chem model,adjoint model,kinetic preprocessor,data assimilation,finite difference,kinetics,inverse modeling,automatic differentiation,boundary condition |
Field | DocType | Citations |
Boundary value problem,Applied mathematics,Adjoint equation,Mathematical optimization,Computer science,Automatic differentiation,Real-time computing,Preprocessor,Data assimilation,Parsing | Conference | 2 |
PageRank | References | Authors |
0.40 | 5 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kumaresh Singh | 1 | 6 | 2.28 |
Paul Eller | 2 | 2 | 1.07 |
Adrian Sandu | 3 | 325 | 58.93 |
Daven Henze | 4 | 2 | 1.07 |
Kevin Bowman | 5 | 6 | 3.84 |
Monika Kopacz | 6 | 2 | 0.40 |
Meemong Lee | 7 | 5 | 2.92 |