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  Splitting error estimation for micro-physical-multiphase chemical systems in meso-scale air quality models

Müller, F. (2001). Splitting error estimation for micro-physical-multiphase chemical systems in meso-scale air quality models. Atmospheric Environment, 35, 5749-5764. doi:10.1016/S1352-2310(01)00368-5.

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Reportversion / Retrodigitalisat unter dem Titel: Estimation of the error due to operator splitting for micro-physical-multiphase chemical systems in meso-scale air quality models
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 Creators:
Müller, F.1, Author
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1MPI for Meteorology, Max Planck Society, Bundesstraße 53, 20146 Hamburg, DE, ou_913545              

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Free keywords: MASS ACCOMMODATION COEFFICIENTS; WATER-INTERFACE; EQUATIONS; CLOUD; FOG; SO2Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences; operator splitting; air quality; numerical modelling; micro-physics; multiphase chemistry;
 Abstract: Operator splitting applied to cloud micro-physical and multiphase chemical process causes the so-called operator splitting errors in addition to other numerical errors when used in numerical models. Operator splitting is mainly used due to limited computer resources or for historical reasons. Unfortunately, it is impossible so far to theoretically estimate either the order of magnitude or the tendency of the splitting errors in complex non-linear systems such as mutually interacting cloud chemical and micro-physical processes.
The present study systematically investigates the splitting error mentioned above, by numerical means to define valid ranges of the applicability of the method of operator splitting to those systems. Results of the current study show that de-coupling intervals larger than 100 s cause an underestimation of the total liquid water content as well as the particle radius of the order of 10% for simulation periods of 1000 s. The maximum overprediction of the total content of dissolved material in the particles is of the order of about 20% for de-coupling intervals of 10-15 min. The error in the sulphate production contributes about 50% to the discrepancy in total aerosol content. Since the de-coupling intervals between dynamical, micro-physical, and chemical processes in most recent air quality models are considerably longer than 15 min, the consequences of the application of operator splitting requires further investigation with respect to predicted aerosol formation, cloud water content, deposition rates, photo-chemistry, cloud optical properties, etc. (C) 2001 Elsevier Science Ltd. All rights reserved.

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Language(s): eng - English
 Dates: 2001
 Publication Status: Issued
 Pages: 16
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Degree: -

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Title: Atmospheric Environment
  Abbreviation : Atmospheric Environ.
Source Genre: Journal
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Publ. Info: Amsterdam [u.a.] : Elsevier
Pages: - Volume / Issue: 35 Sequence Number: - Start / End Page: 5749 - 5764 Identifier: ISSN: 1352-2310
CoNE: https://pure.mpg.de/cone/journals/resource/958480288336

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Title: Report / Max-Planck-Institut für Meteorologie
  Other : MPI Report
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Publ. Info: Hamburg : Max-Planck-Institut für Meteorologie
Pages: - Volume / Issue: 314 Sequence Number: - Start / End Page: - Identifier: ISSN: 0937-1060
CoNE: https://pure.mpg.de/cone/journals/resource/0937-1060