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

Hydrology and Earth System Sciences

Volumn 15, Issue 12, 2011, Pages 3861-3875

  Stoll, S ^a   Hendricks Franssen, H J ^b   Barthel, R ^c   Kinzelbach, W ^a  

^a ETH ZURICH   (Switzerland)

^b FORSCHUNGSZENTRUM JÜLICH   (Germany)

^c UNIVERSITY OF STUTTGART   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANTHROPOGENIC CAUSE; ATMOSPHERIC CIRCULATION PATTERNS; CLIMATE CHANGE IMPACT; DATA SETS; DOMINANT MECHANISM; DOWN-SCALING; DOWNSCALING METHODS; FEEDBACK MECHANISMS; GLOBAL CHANGE; GROUNDWATER DYNAMICS; GROUNDWATER SYSTEM; HYDROLOGICAL MODELS; LAND-USE CHANGE; METEOROLOGICAL CONDITION; SOUTHERN GERMANY; SPATIOTEMPORAL CORRELATION; SWITZERLAND; WATER DEMAND;

CLIMATE MODELS; COMPUTER SIMULATION; DYNAMICS; GROUNDWATER; GROUNDWATER RESOURCES; LAND USE; TIME SERIES;

CLIMATE CHANGE;

ANTHROPOGENIC EFFECT; CLIMATE CHANGE; CLIMATE EFFECT; DATA SET; DOWNSCALING; FEEDBACK MECHANISM; GLOBAL CHANGE; GROUNDWATER RESOURCE; HYDRODYNAMICS; HYDROLOGICAL MODELING; LAND USE CHANGE; METEOROLOGY; PUMPING; UNCERTAINTY ANALYSIS;

GERMANY; SWITZERLAND;

EID: 84855789586     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-15-3861-2011     Document Type: Article

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