Impact of Environmental Conditions on Grass Phenology in the Regional Climate Model COSMO-CLM

Atmosphere

Ruben Seibert¹  Mingyue Zhang²  Eva Hartmann²  Jürg Luterbacher²  MerjaH. Tölle²  Jan-Peter Schulz³  Marius Schmidt⁴ 

[1] Department of Biology, Plant Ecology, Justus-Liebig University Giessen, D-35390 Giessen, Germany;Department of Geography, Climatology, Climate Dynamics and Climate Change, Justus-Liebig University Giessen, D-35390 Giessen, Germany;Deutscher Wetterdienst (DWD, German Meteorological Service), D-63067 Offenbach, Germany;Institute of Bio- and Geosciences, Agrosphere (IBG-3), Forschungszentrum Jülich, D-52428 Jülich, Germany;

关键词: climate change;    COSMO-CLM;    land atmosphere interactions;    leaf area index;    phenology;    regional climate model;   

DOI  :  10.3390/atmos11121364

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown