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@ARTICLE{Stein:842435,
      author       = {Stein, Olaf and Schultz, M. and Rambadt, M. and Saini, R.
                      and Hoffmann, L. and Mallmann, D.},
      title        = {{JADDS} – towards a tailored global atmospheric
                      composition data service for {CAMS} forecasts and
                      reanalysis},
      journal      = {Geophysical research abstracts},
      volume       = {19},
      issn         = {1607-7962},
      address      = {Katlenburg-Lindau},
      publisher    = {Soc.},
      reportid     = {FZJ-2018-00671},
      pages        = {EGU2017-7352},
      year         = {2017},
      abstract     = {Global model data of atmospheric composition produced by
                      the Copernicus Atmospheric Monitoring Service(CAMS) is
                      collected since 2010 at FZ Jülich and serves as boundary
                      condition for use by Regional Air Quality(RAQ) modellers
                      world-wide. RAQ models need time-resolved meteorological as
                      well as chemical lateral boundary conditions for their
                      individual model domains. While the meteorological data
                      usually come from well-established global forecast systems,
                      the chemical boundary conditions are not always well
                      defined. In the past, many models used ‘climatic’
                      boundary conditions for the tracer concentrations, which can
                      lead to significant concentration biases, particularly for
                      tracers with longer lifetimes which can be transported over
                      long distances(e.g. over the whole northern hemisphere) with
                      the mean wind. The Copernicus approach utilizes extensive
                      near-realtime data assimilation of atmospheric composition
                      data observed from space which gives additional reliability
                      to the global modelling data and is well received by the RAQ
                      communities.An existing Web Coverage Service (WCS) for
                      sharing these individually tailored model results is
                      currently being re-engineered to make use of a modern,
                      scalable database technology in order to improve
                      performance, enhance flexibility, and allow the operation of
                      catalogue services. The new Jülich Atmospheric Data
                      Distributions Server(JADDS) adheres to the Web Coverage
                      Service WCS2.0 standard as defined by the Open Geospatial
                      Consortium OGC. This enables the user groups to flexibly
                      define datasets they need by selecting a subset of chemical
                      speciesor restricting geographical boundaries or the length
                      of the time series. The data is made available in the formof
                      different catalogues stored locally on our server. In
                      addition, the Jülich OWS Interface (JOIN)
                      providesinteroperable web services allowing for easy
                      download and visualization of datasets delivered from WCS
                      serversvia the internet.We will present the prototype JADDS
                      server and address the major issues identified when
                      relocating large fourdimensionaldatasets into a RASDAMAN
                      raster array database. So far the RASDAMAN support for data
                      availablein netCDF format is limited with respect to
                      metadata related to variables and axes. For community-wide
                      acceptedsolutions, selected data coverages shall result in
                      downloadable netCDF files including metadata complying
                      withthe netCDF CF Metadata Conventions standard
                      (http://cfconventions.org/). This can be achieved by
                      addingcustom metadata elements for RASDAMAN bands (model
                      levels) on data ingestion. Furthermore, an
                      optimizationstrategy for ingestion of several TB of 4D model
                      output data will be outlined.},
      cin          = {JSC / IEK-8},
      ddc          = {550},
      cid          = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)IEK-8-20101013},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / 512 - Data-Intensive Science and Federated
                      Computing (POF3-512) / 243 - Tropospheric trace substances
                      and their transformation processes (POF3-243) / Earth System
                      Data Exploration (ESDE)},
      pid          = {G:(DE-HGF)POF3-511 / G:(DE-HGF)POF3-512 /
                      G:(DE-HGF)POF3-243 / G:(DE-Juel-1)ESDE},
      typ          = {PUB:(DE-HGF)16},
      url          = {https://juser.fz-juelich.de/record/842435},
}