Annual and monthly Gross Primary Productivity time series for Europe on a 1km² resolution

Abstract

During the last decades quantifying sinks and sources of climatological relevant trace gases as well as understanding their exchanges between atmosphere and land surface, have become essential research topics in atmospheric science. Modelling the CO2 uptake by vegetation via photosynthesis (Gross Primary Productivity, GPP) has become an important tool to study the mechanisms of CO2 exchange. At the German Aerospace Center (DLR) the Biosphere Energy Transfer Hydrology (BETHY/DLR) vegetation model is used to perform simulations of GPP and Net Primary Productivity (NPP) over Europe. The model is driven by remote sensing data of the Leaf Area Index (LAI) and land cover classification and meteorological data from the European Center for Medium-Range Weather Forecast (ECMWF). The output is given as yearly, monthly and daily time series of GPP and NPP on a 1km² resolution.