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| Hauptseite > Publikationsdatenbank > A sensitivity analysis of hydrological states and fluxes to groundwater representation in pan-European multimodel simulations. > print |
| Hauptseite > Publikationsdatenbank > A sensitivity analysis of hydrological states and fluxes to groundwater representation in pan-European multimodel simulations. > print |
| 001 | 905604 | ||
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| 037 | _ | _ | |a FZJ-2022-00836 |
| 100 | 1 | _ | |a Naz, Bibi |0 P:(DE-Juel1)169794 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a ECMWF Global hydrological modelling and forecasting |c Online |d 2021-06-29 - 2021-07-01 |w UK |
| 245 | _ | _ | |a A sensitivity analysis of hydrological states and fluxes to groundwater representation in pan-European multimodel simulations. |
| 260 | _ | _ | |c 2021 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
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| 520 | _ | _ | |a High-resolution large-scale predictions of hydrologic states and fluxes are important for many regional-scale applications and water resource management. However, because of uncertainties related to forcing data, model structural errors arising from simplified representations of hydrological processes or uncertain model parameters, model simulations remain uncertain. To quantify this uncertainty, multi-model simulations were performed at 3km resolution over the European continent using the Community Land Model (CLM3.5) and the ParFlow hydrologic model. The ParFlow model simulates three-dimensional variably saturated groundwater flow solving Richards equation and overland flow with a two-dimensional kinematic wave approximation, whereas CLM3.5 applies a simple approach to simulate groundwater recharge and discharge processes via the connection of bottom soil layer and an unconfined aquifer. Over Europe with a lateral resolution of 3km, both models were driven with the COSMO-REA6 reanalysis dataset for the time period from 1997 to 2006 at an hourly time step using the same datasets for the static input variables (such as topography, vegetation and soil properties). Evaluation against independent observations including satellite-derived and in-situ soil moisture, evapotranspiration, and water table depth datasets show that both models capture the interannual and seasonal variations well at the regional scale, however ParFlow with dynamic groundwater representation performs better in simulating surface soil moisture in comparison with in-situ data. Simulations with ParFlow have overall wetter soil moisture than CLM, particularly in humid and cold regions and driest soil moisture in the arid and semi-arid regions. Moreover, the difference in ET between the two models shows that ParFlow produced overall higher ET over the regions with shallow water table and drier regions. This study helps to understand and quantify uncertainties in groundwater related processes in hydrologic simulations and resulting implications for water resources assessment at regional to continental scales. |
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