Sequential Variational Data Assimilation Algorithms at the Splitting Stages of a Numerical Atmospheric Chemistry Model
| Autor: | Alexey Penenko, Elena Tsvetova, Anastasia A. Grishina, Vladimir Penenko, Pavel Antokhin |
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| Rok vydání: | 2018 |
| Předmět: |
Chemical transformation
010504 meteorology & atmospheric sciences 02 engineering and technology 01 natural sciences 020303 mechanical engineering & transports Transformation (function) Data assimilation 0203 mechanical engineering Atmospheric chemistry Decomposition (computer science) Stage (hydrology) Algorithm Physics::Atmospheric and Oceanic Physics 0105 earth and related environmental sciences Mathematics |
| Zdroj: | Large-Scale Scientific Computing ISBN: 9783319734408 LSSC |
| Popis: | A variational data assimilation algorithm is studied numerically. In situ concentration measurement data are assimilated into transport and transformation model of atmospheric chemistry. The algorithm is based on decomposition and splitting methods with solution of variational data assimilation problems for separate splitting stages. A direct algorithm without iterations is used for the linear transport stage. An iterative gradient algorithm is applied for data assimilation at the non-linear chemical transformation stage. In a realistic numerical experiment, the contributions of data assimilation algorithms for the different splitting stages are compared. |
| Databáze: | OpenAIRE |
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