Forecasting river temperatures in real time using a stochastic dynamics approach

Water Resources Research

Volumn 49, Issue 9, 2013, Pages 5168-5182

  Pike, Andrew ^a   Danner, Eric ^b   Boughton, David ^b   Melton, Forrest ^c   Nemani, Rama ^c,d   Rajagopalan, Balaji ^e   Lindley, Steve ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b SOUTHWEST FISHERIES SCIENCE CENTER   (United States)

^c NASA AMES RESEARCH CENTER   (United States)

^d CALIFORNIA STATE UNIVERSITY   (United States)

^e UNIVERSITY OF COLORADO   (United States)

Author keywords

Heat Budget; River Management; Sacramento River; uNmerical Prediction; Water Temperature

Indexed keywords

ATMOSPHERIC TEMPERATURE; ATMOSPHERIC THERMODYNAMICS; BUDGET CONTROL; DECISION SUPPORT SYSTEMS; DYNAMICAL SYSTEMS; DYNAMICS; EQUATIONS OF STATE; ERRORS; HYDROGRAPHIC SURVEYS; PREDICTIVE ANALYTICS; STATE SPACE METHODS; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS; WEATHER FORECASTING;

CROSSSECTIONAL GEOMETRY; HEAT BUDGET; LONGITUDINAL DISPERSIONS; NUMERICAL WEATHER PREDICTION MODELS; RIVER MANAGEMENT; SACRAMENTO RIVER; TEMPERATURE FLUCTUATION; WATER TEMPERATURES;

RIVERS;

ACCURACY ASSESSMENT; CALIBRATION; DAM; DECISION SUPPORT SYSTEM; ERROR ANALYSIS; FLOW MEASUREMENT; HEAT BUDGET; HEAT FLUX; HEAT TRANSFER; HYDRODYNAMICS; KALMAN FILTER; METEOROLOGY; NUMERICAL MODEL; REAL TIME; RIVER FLOW; RIVER MANAGEMENT; RIVER WATER; STOCHASTICITY; WATER TEMPERATURE; WEATHER FORECASTING;

CALIFORNIA; SACRAMENTO RIVER; UNITED STATES;

EID: 84883306944     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/wrcr.20389     Document Type: Article

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