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@INPROCEEDINGS{Gong:908149,
      author       = {Gong, Bing and Langguth, Michael and Mozaffari, Amirpasha
                      and Ji, Yan and Stadtler, Scarlet and Mache, Karim and
                      Schultz, Martin},
      title        = {{N}ear-surface temperature forecasting by deep learning},
      reportid     = {FZJ-2022-02413},
      year         = {2021},
      month         = {May},
      date          = {2021-05-03},
      organization  = {ML for Earth System Modelling and
                       Analytics workshop 2021, online
                       (Germany), 3 May 2021 - 4 May 2021},
      subtyp        = {After Call},
      cin          = {IAS / JSC},
      cid          = {I:(DE-Juel1)VDB1106 / I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / IntelliAQ -
                      Artificial Intelligence for Air Quality (787576) / Earth
                      System Data Exploration (ESDE)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(EU-Grant)787576 /
                      G:(DE-Juel-1)ESDE},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/908149},
}