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@INPROCEEDINGS{Kolb:1043671,
      author       = {Kolb, Adrian and Khosrawi, Farahnaz and Hoffmann, Lars and
                      Müller, Siegfried},
      title        = {{C}ompression of meteorological reanalysis data using
                      multiresolution analysis and their application to trajectory
                      calculations},
      reportid     = {FZJ-2025-02971},
      year         = {2025},
      abstract     = {The storage requirements for meteorological reanalysis data
                      have increased significantly in recent years. To address the
                      challenges of handling these large data sets, efficient
                      compression techniques are required. In addition, the error
                      of the compressed data should be as small as possible.
                      Although lossless compression algorithms exist, the
                      resulting data are still too large. Conversely, lossy
                      compression formats allow a small file size, but are often
                      not able to control the error relative to the original data.
                      We propose a multiresolution-based grid adaptation as an
                      alternative method for lossy compression. To do this, we
                      perform a multiresolution analysis using multiwavelets on a
                      hierarchy of nestedgrids. This method provides us with local
                      information on the differences between successive refinement
                      levels. Since smooth regions have small local differences,
                      we apply hard thresholding to resolve these regions on a
                      coarser grid. Thus, the data is projected onto an adaptive
                      grid where only regions with steep gradients or
                      discontinuities have a high resolution, which significantly
                      reduces the file size. We present how data compression is
                      achieved by applying multiresolution-based grid adaptation
                      using ERA5 meteorological reanalysis data. We additionally
                      discuss the implementation of this method into the
                      Lagrangian model for Massive-Parallel Trajectory Calculation
                      (MPTRAC).},
      month         = {Jun},
      date          = {2025-06-16},
      organization  = {Platform for Advanced Scientific
                       Computing, Brugg (Switzerland), 16 Jun
                       2025 - 18 Jun 2025},
      subtyp        = {After Call},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / ADAPTEX - Adaptive
                      Erdsystemmodellierung mit stark reduzierter Berechnungsdauer
                      für Exascale-Supercomputer (16ME0670)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(BMBF)16ME0670},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/1043671},
}