Toward a statistical framework to quantify the uncertainties of hydrologic response under climate change

Water Resources Research

Volumn 48, Issue 11, 2012, Pages

  Steinschneider, Scott ^a   Polebitski, Austin ^a   Brown, Casey ^a   Letcher, Benjamin H ^b  

^a University of Massachusetts   (United States)

^b U S GEOLOGICAL SURVEY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN MODELING; CLIMATE CHANGE IMPACT; CLIMATE IMPACT ASSESSMENT; DRIVE SIMULATION; ERROR MODEL; FUTURE CLIMATE; GLOBAL CIRCULATION MODEL; HYDROLOGIC MODELING; HYDROLOGIC MODELS; HYDROLOGIC RESPONSE; MARKOV CHAIN MONTE CARLO; POSTERIOR DISTRIBUTIONS; PREDICTION INTERVAL; RESIDUAL ERROR; SAMPLING ERRORS; STATISTICAL FRAMEWORK; VERMONT; WATER RESOURCES PLANNING;

MATHEMATICAL MODELS; MONTE CARLO METHODS; STREAM FLOW; TIME SERIES; UNCERTAINTY ANALYSIS;

CLIMATE CHANGE;

CLIMATE CHANGE; HYDRAULIC PROPERTY; HYDROLOGICAL CHANGE; HYDROLOGICAL MODELING; LONG-TERM CHANGE; MONTE CARLO ANALYSIS; REGIONAL CLIMATE; RESOURCE MANAGEMENT; SAMPLING; SIMULATION; STATISTICAL ANALYSIS; STREAMFLOW; UNCERTAINTY ANALYSIS; WATER RESOURCE;

UNITED STATES; VERMONT; WHITE RIVER [UNITED STATES];

EID: 84870214957     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2011WR011318     Document Type: Article

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