Synergies Between Grace and Regional Atmospheric Modeling Efforts

Tuesday, 16 December 2014: 9:30 AM
Juergen Kusche1, Anne Springer1, Christian Ohlwein2, Kerstin Hartung3, Laurent Longuevergne4, Stefan J Kollet5, Jessica Keune2, Henryk Dobslaw6, Ehsan Forootan1 and Annette Eicker1, (1)University of Bonn, Bonn, Germany, (2)University of Bonn, Meteorological Institute, Bonn, Germany, (3)Stockholm University, Stockholm, Sweden, (4)CNRS - Géosciences Rennes, Rennes, France, (5)Forschungszentrum Julich GmbH, Jülich, Germany, (6)Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany
In the meteorological community, efforts converge towards implementation of high-resolution (< 12km) data-assimilating regional climate modelling/monitoring systems based on numerical weather prediction (NWP) cores. This is driven by requirements of improving process understanding, better representation of land surface interactions, atmospheric convection, orographic effects, and better forecasting on shorter timescales.

This is relevant for the GRACE community since (1) these models may provide improved atmospheric mass separation / de-aliasing and smaller topography-induced errors, compared to global (ECMWF-Op, ERA-Interim) data, (2) they inherit high temporal resolution from NWP models, (3) parallel efforts towards improving the land surface component and coupling groundwater models; this may provide realistic hydrological mass estimates with sub-diurnal resolution, (4) parallel efforts towards re-analyses, with the aim of providing consistent time series. (5) On the other hand, GRACE can help validating models and aids in the identification of processes needing improvement.

A coupled atmosphere - land surface – groundwater modelling system is currently being implemented for the European CORDEX region at 12.5 km resolution, based on the TerrSysMP platform (COSMO-EU NWP, CLM land surface and ParFlow groundwater models). We report results from Springer et al. (J. Hydromet., accept.) on validating the water cycle in COSMO-EU using GRACE and precipitation, evapotranspiration and runoff data; confirming that the model does favorably at representing observations. We show that after GRACE-derived bias correction, basin-average hydrological conditions prior to 2002 can be reconstructed better than before. Next, comparing GRACE with CLM forced by EURO-CORDEX simulations allows identifying processes needing improvement in the model. Finally, we compare COSMO-EU atmospheric pressure, a proxy for mass corrections in satellite gravimetry, with ERA-Interim over Europe at timescales shorter/longer than 1 month, and spatial scales below/above ERA resolution. We find differences between regional and global model more pronounced at high frequencies, with magnitude at sub-grid scale and larger scale corresponding to 1-3 hPa (1-3 cm EWH); relevant for the assessment of post-GRACE concepts.