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@ARTICLE{Hartmann:901830,
      author       = {Hartmann, Eva and Schulz, Jan-Peter and Seibert, Ruben and
                      Schmidt, Marius and Zhang, Mingyue and Luterbacher, Jürg
                      and Tölle, Merja H.},
      title        = {{I}mpact of {E}nvironmental {C}onditions on {G}rass
                      {P}henology in the {R}egional {C}limate {M}odel
                      {COSMO}-{CLM}},
      journal      = {Atmosphere},
      volume       = {11},
      number       = {12},
      issn         = {2073-4433},
      address      = {Basel, Switzerland},
      publisher    = {MDPI AG},
      reportid     = {FZJ-2021-03853},
      pages        = {1 - 19},
      year         = {2020},
      abstract     = {Feedbacks of plant phenology to the regional climate system
                      affect fluxes of energy, water, CO2, biogenic volatile
                      organic compounds as well as canopy conductance, surface
                      roughness length, and are influencing the seasonality of
                      albedo. We performed simulations with the regional climate
                      model COSMO-CLM (CCLM) at three locations in Germany
                      covering the period 1999 to 2015 in order to study the
                      sensitivity of grass phenology to different environmental
                      conditions by implementing a new phenology module. We
                      provide new evidence that the annually-recurring standard
                      phenology of CCLM is improved by the new calculation of leaf
                      area index (LAI) dependent upon surface temperature, day
                      length, and water availability. Results with the new
                      phenology implemented in the model show a significantly
                      higher correlation with observations than simulations with
                      the standard phenology. The interannual variability of LAI
                      improves the representation of vegetation in years with
                      extremely warm winter/spring (e.g., 2007) or extremely dry
                      summer (e.g., 2003) and shows a more realistic growth
                      period. The effect of the newly implemented phenology on
                      atmospheric variables is small but tends to be positive. It
                      should be used in future applications with an extension on
                      more plant functional types},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000602277100001},
      doi          = {10.3390/atmos11121364},
      url          = {https://juser.fz-juelich.de/record/901830},
}