Cluster C- Projects


Land surface and sub-surface data assimilation

Dr. Anne Springer
University of Bonn  |  +49 228 73-6149  |

Dr. Carsten Montzka
Forschungszentrum Jülich  |  +49 2461 613289  |


In C01 we will develop a coupled multi-scale, multi-source data assimilation (DA) system at the continental scale, where remotely sensed surface soil moisture, total water storage changes and land surface temperature data will constrain a coupled reanalysis from groundwater to the land surface. We will evaluate to what extent the reanalysis exhibits skill to represent observed trends, reproduce interannual variability, and to simulate extreme events. A special focus is laid on investigating strategies to correct for anthropogenic impacts on the hydrological system (irrigation, groundwater abstraction) through DA.


Modulation of soil water fluxes by changes in vegetation properties and management

Prof. Dr. Frank Ewert
University of Bonn  |  +49 228 73-2041  |

Dr. Thomas Gaiser
University of Bonn  |  +49 228 73-2050  |

Prof. Dr. Guillaume Lobet
Forschungszentrum Jülich  |  +49 2461 61-9013  |


We will investigate the impact of changes in agricultural and forest management during the last decades on land surface – atmosphere interactions. We will improve the parameterization of land surface model CLM so that it can reproduce the effects of changes in management on regional heat, water and carbon fluxes. Therefore, we will link a suite of models starting from mechanistic single plant models that couple carbon and water flow within the plant with the external environment over specific crop models at the field scale to the Community Earth System Model CLM.


Towards ecosystem reanalysis by coupling of water and carbon cycles

Prof. Dr. Harrie-Jan Hendricks-Franssen
Forschungszentrum Jülich  |  +49 2461 614462  |

Prof. Dr. Wulf Amelung
University of Bonn  |  +49 228 73-2780  |

Prof. Dr. Jürgen Kusche
University of Bonn  |  +49 228 73-2629  |


For simulating the impact of land use and land cover change on the water and carbon cycles, modelling of soil respiration and photosynthesis has to be improved. We hypothesize that continental-scale net ecosystem exchange (NEE) from a reanalysis with improved ecosystem parameters and refined representation of soil respiration (SR) will better explain observed total water storage (TWS) variability. To test this hypothesis, we will estimate ecosystem parameters from long time series at highly equipped sites in combination with measured temperature and soil moisture sensitivity of heterotrophic soil respiration. Model outputs will then be compared with changes in TWS observed by GRACE.


Snow data assimilation and its impacts on hydrological cycle and atmospheric fluxes

Dr. Bibi S. Naz
Forschungszentrum Jülich  |  +49 2461 619717  |

Prof. Dr. Gabrielle J. M. De Lannoy
KU Leuven, Belgium  |  +32 1637 6713  |


In C04, we aim to improve continental-scale snow estimates in land surface model which often bear uncertainties due to both input data and model errors. For this purpose, we will develop and implement a multi-scale, multi-sensor snow data assimilation scheme in the fully coupled terrestrial systems modeling platform. This will be implemented by jointly assimilating the remote sensing snow observation such as snow cover fraction and snow water equivalent into the community land model (CLM). Further, we will assess the impact of snow data assimilation on surface energy states and fluxes for fully coupled land-atmosphere simulations.

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