What can we learn from long-term groundwater data to improve climate change impact studies?

• Published in: Hydrology and earth system sciences Vol. 15; no. 12; pp. 3861 - 3875
• Main Authors: Stoll, S., Hendricks Franssen, H. J., Barthel, R., Kinzelbach, W.
• Format: Journal Article
• Language: English
• Published: Katlenburg-Lindau Copernicus GmbH 01.01.2011; Copernicus Publications
• Subjects: Anthropogenic cause; anthropogenic effect; Anthropogenic factors; Atmospheric circulation; Atmospheric circulation patterns; Climate change; Climate change impact; climate effect; Climate models; Computer simulation; Dominant mechanism; Down-scaling; downscaling; Downscaling methods; Dynamics; Environmental impact; feedback mechanism; Feedback mechanisms; Germany; Global change; Groundwater; Groundwater data; Groundwater dynamics; groundwater resource; Groundwater resources; Groundwater system; hydrodynamics; Hydrologic data; Hydrologic models; hydrological modeling; Hydrological models; Land use; Land-use change; Meteorological condition; meteorology; Oceanografi, hydrologi och vattenresurser; Oceanography, Hydrology and Water Resources; pumping; Southern Germany; Spatiotemporal correlation; Switzerland; Time series; uncertainty analysis; Water demand; Water resources

Future risks for groundwater resources, due to global change are usually analyzed by driving hydrological models with the outputs of climate models. However, this model chain is subject to considerable uncertainties. Given the high uncertainties it is essential to identify the processes governing th...