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.