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@ARTICLE{Liao:1024415,
      author       = {Liao, Ye and Deng, Xuying and Huang, Mingming and Liu,
                      Mingzhao and Yi, Jia and Hoffmann, Lars},
      title        = {{T}racking {C}arbon {D}ioxide with {L}agrangian {T}ransport
                      {S}imulations: {C}ase {S}tudy of {C}anadian {F}orest {F}ires
                      in {M}ay 2021},
      journal      = {Atmosphere},
      volume       = {15},
      number       = {4},
      issn         = {2073-4433},
      address      = {Basel, Switzerland},
      publisher    = {MDPI AG},
      reportid     = {FZJ-2024-02158},
      pages        = {429},
      year         = {2024},
      abstract     = {The large amounts of greenhouse gases, such as carbon
                      dioxide, produced by severe forest fires not only seriously
                      affect the ecosystems in the area where the fires occur but
                      also cause a greenhouse effect that has a profound impact on
                      the natural environment in other parts of the world.
                      Numerical simulations of greenhouse gas transport processes
                      are often affected by uncertainties in the location and
                      timing of the emission sources and local meteorological
                      conditions, and it is difficult to obtain accurate and
                      credible predictions by combining remote sensing satellite
                      data with given meteorological forecasts or reanalyses. To
                      study the regional transport processes and impacts of
                      greenhouse gases produced by sudden large-scale forest
                      fires, this study applies the Lagrangian particle dispersion
                      model Massive-Parallel Trajectory Calculations (MPTRAC) to
                      conduct forward simulations of the CO2 transport process of
                      greenhouse gases emitted from forest fires in the central
                      region of Saskatchewan, Canada, during the period of 17 May
                      to 25 May 2021. The simulation results are validated with
                      the Orbiting Carbon Observatory-2 Goddard Earth Observing
                      System (OCO-2 GEOS) Level 3 daily gridded CO2 product over
                      the study area. In order to leverage the high computational
                      costs of the numerical simulations of the model, we
                      implement the forward simulations on the Tianhe-2
                      supercomputer platform and the JUWELS HPC system, which
                      greatly improves the computational efficiency through
                      parallel computation and makes near-real-time predictions of
                      atmospheric transport processes feasible.},
      cin          = {JSC},
      ddc          = {550},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001210610500001},
      doi          = {10.3390/atmos15040429},
      url          = {https://juser.fz-juelich.de/record/1024415},
}