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The 1-way on-line coupled atmospheric chemistry model system MECO(n) – Part 2: On-line coupling with the Multi-Model-Driver (MMD)

Kerkweg, Astrid und Jöckel, Patrick (2012) The 1-way on-line coupled atmospheric chemistry model system MECO(n) – Part 2: On-line coupling with the Multi-Model-Driver (MMD). Geoscientific Model Development, 5, Seiten 111-128. Copernicus Publcations. DOI: 10.5194/gmd-5-111-2012

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Offizielle URL: http://www.geosci-model-dev.net/5/111/2012/


A new, highly flexible model system for the seamless dynamical down-scaling of meteorological and chemical processes from the global to the meso-γ scale is presented. A global model and a cascade of an arbitrary number of limited-area model instances run concurrently in the same parallel environment, in which the coarser grained instances provide the boundary data for the finer grained instances. Thus, disk-space intensive and time consuming intermediate and pre-processing steps are entirely avoided and the time interpolation errors of common off-line nesting approaches are minimised. More specifically, the regional model COSMO of the German Weather Service (DWD) is nested on-line into the atmospheric general circulation model ECHAM5 within the Modular Earth Submodel System (MESSy) framework. ECHAM5 and COSMO have previously been equipped with the MESSy infrastructure, implying that the same process formulations (MESSy submodels) are available for both models. This guarantees the highest degree of achievable consistency, between both, the meteorological and chemical conditions at the domain boundaries of the nested limited-area model, and between the process formulations on all scales. The on-line nesting of the different models is established by a client-server approach with the newly developed Multi-Model-Driver (MMD), an additional component of the MESSy infrastructure. With MMD an arbitrary number of model instances can be run concurrently within the same message passing interface (MPI) environment, the respective coarser model (either global or regional) is the server for the nested finer (regional) client model, i.e. it provides the data required to calculate the initial and boundary fields to the client model. On-line nesting means that the coupled (client-server) models exchange their data via the computer memory, in contrast to the data exchange via files on disk in common off-line nesting approaches. MMD consists of a library (Fortran95 and some parts in C) which is based on the MPI standard and two new MESSy submodels, MMDSERV and MMDCLNT (both Fortran95) for the server and client models, respectively. MMDCLNT contains a further sub-submodel, INT2COSMO, for the interpolation of the coarse grid data provided by the server models (either ECHAM5/MESSy or COSMO/MESSy) to the grid of the respective client model (COSMO/MESSy). INT2COSMO is based on the off-line pre-processing tool INT2LM provided by the DWD.

Titel:The 1-way on-line coupled atmospheric chemistry model system MECO(n) – Part 2: On-line coupling with the Multi-Model-Driver (MMD)
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iD
Kerkweg, Astridkerkweg@uni-mainz.deNICHT SPEZIFIZIERT
Jöckel, PatrickPatrick.Joeckel@dlr.deNICHT SPEZIFIZIERT
Datum:19 Januar 2012
Erschienen in:Geoscientific Model Development
Referierte Publikation:Ja
In Open Access:Ja
In ISI Web of Science:Ja
DOI :10.5194/gmd-5-111-2012
Seitenbereich:Seiten 111-128
Verlag:Copernicus Publcations
Stichwörter:model coupling, atmospheric model, COSMO, MESSy, atmospheric chemistry, global model, regional model,
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:keine Zuordnung
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V - keine Zuordnung
DLR - Teilgebiet (Projekt, Vorhaben):V - keine Zuordnung, R - Vorhaben Atmosphären- und Klimaforschung, L - Klima, Wetter und Umwelt (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Physik der Atmosphäre > Dynamik der Atmosphäre
Hinterlegt von: Jöckel, Dr. Patrick
Hinterlegt am:30 Jan 2012 12:18
Letzte Änderung:08 Mär 2018 18:29

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